# ![@Iaminwhere Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1600472638328954880.png) @Iaminwhere iameverywhere

iameverywhere posts on X about ai, twitter, llm, antiice the most. They currently have [--] followers and [---] posts still getting attention that total [---] engagements in the last [--] hours.

### Engagements: [---] [#](/creator/twitter::1600472638328954880/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1600472638328954880/c:line/m:interactions.svg)

- [--] Week [-----] +13%

### Mentions: [--] [#](/creator/twitter::1600472638328954880/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1600472638328954880/c:line/m:posts_active.svg)

- [--] Week [---] +23%

### Followers: [--] [#](/creator/twitter::1600472638328954880/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1600472638328954880/c:line/m:followers.svg)

- [--] Week [--] +17%

### CreatorRank: [---------] [#](/creator/twitter::1600472638328954880/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1600472638328954880/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[technology brands](/list/technology-brands)  [social networks](/list/social-networks)  [countries](/list/countries)  [celebrities](/list/celebrities)  [gaming](/list/gaming)  [finance](/list/finance) 

**Social topic influence**
[ai](/topic/ai), [twitter](/topic/twitter), [llm](/topic/llm) #1247, [antiice](/topic/antiice), [social media](/topic/social-media), [posts](/topic/posts), [ustc](/topic/ustc), [bots](/topic/bots) #616, [ukraine](/topic/ukraine), [hidden](/topic/hidden)

**Top accounts mentioned or mentioned by**
[@grok](/creator/undefined) [@s3cret07](/creator/undefined) [@xprofessorrr](/creator/undefined) [@nyesfragrances](/creator/undefined) [@umunyacyaro14](/creator/undefined) [@kanyagwe](/creator/undefined) [@evaristemur](/creator/undefined) [@joselyinechap](/creator/undefined) [@ngaboyicond0](/creator/undefined) [@sirdamass](/creator/undefined) [@michael12234](/creator/undefined) [@unesco](/creator/undefined) [@hecrwanda](/creator/undefined) [@drmbonimana](/creator/undefined) [@umuntuwabantu](/creator/undefined) [@cmegroup](/creator/undefined) [@mishraaditya675](/creator/undefined) [@deblotq](/creator/undefined) [@crosstensor](/creator/undefined)

**Top assets mentioned**
[YELP INC. (YELP)](/topic/$yelp)
### Top Social Posts
Top posts by engagements in the last [--] hours

"BREAKING: New AI method maps social media polarization faster and more accurately by analyzing the links users share outperforming traditional network and language analysis (Xu et al. from USTC). Study tested on COVID-19 and political misinformation. https://doi.org/10.1007/s https://doi.org/10.1007/s"  
[X Link](https://x.com/Iaminwhere/status/2013672733918306352)  2026-01-20T17:59Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically calming down negative posts about climate change new study finds. (Xu et al. from USTC) The LLMs showed a strong tendency to convert anger or fear into more neutral or even positive emotions. "  
[X Link](https://x.com/Iaminwhere/status/2013700798203482428)  2026-01-20T19:50Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down anger and fear in user posts while maintaining coherent replies (Xu et al. from USTC). New study reveals LLMs like Llama and Claude convert negative emotions toward neutral or posit"  
[X Link](https://x.com/Iaminwhere/status/2013747920672002366)  2026-01-20T22:58Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically turning online anger and fear into neutral or positive responses new study finds (Xu et al. from USTC). The research shows LLMs like Llama and Claude soften negative emotions in social media conversations while"  
[X Link](https://x.com/Iaminwhere/status/2013840459756712150)  2026-01-21T05:05Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down anger and fear in climate change discussions while maintaining semantic coherence (Xu et al. from USTC). New research reveals LLMs like Llama and Claude prefer neutral rational res"  
[X Link](https://x.com/Iaminwhere/status/2013856278263828797)  2026-01-21T06:08Z [--] followers, [--] engagements


"BREAKING: New AI method maps social media polarization faster and more accurately by analyzing the links users share outperforming traditional network and language analysis. (Xu et al. from USTC) https://doi.org/10.1007/s42001-025-00439-y https://doi.org/10.1007/s42001-025-00439-y"  
[X Link](https://x.com/Iaminwhere/status/2013866759128846548)  2026-01-21T06:50Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically toning down negative posts about climate change (Xu et al. from USTC). The models convert anger or fear into more neutral or positive responses while maintaining semantic coherenc"  
[X Link](https://x.com/Iaminwhere/status/2013875984798228573)  2026-01-21T07:27Z [--] followers, [--] engagements


"BREAKING: New study analyzing 500M+ tweets reveals a stark imbalance in online toxicity: Left-leaning users receive significantly more toxic replies than Right or Center users (Xu et al. from University of Science and Technology of China). https://doi.org/10.1145/3678884.3681849 https://doi.org/10.1145/3678884.3681849"  
[X Link](https://x.com/Iaminwhere/status/2013878151571447866)  2026-01-21T07:35Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasopen-source models favor marginalized groups while closed-source ones lean toward mainstream in life-or-death dilemmas (Xu et al. from USTC). A systematic evaluation of [--] LLMs exposes critical fairness gaps in decision-making. "  
[X Link](https://x.com/Iaminwhere/status/2013881361535525300)  2026-01-21T07:48Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" systematically calming down negative social media posts new study finds (Xu et al. from USTC) https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014055934453227798)  2026-01-21T19:22Z [--] followers, [--] engagements


"BREAKING: Study reveals Twitter bots amplified COVID-19 conspiracy theories deepening online divisions during the pandemic (Xu et al. from Nagoya University). Malicious bots played a non-negligible role in spreading "5G" and "Bill Gates" misinformation. https://rdcu.be/eZ7F6 https://rdcu.be/eZ7F6"  
[X Link](https://x.com/Iaminwhere/status/2014067709583958045)  2026-01-21T20:08Z [--] followers, [--] engagements


"BREAKING: Study reveals Twitter bots played "non-negligible" role in amplifying COVID-19 conspiracy theories and misinformation during the pandemic (Xu et al. from Nagoya University) https://rdcu.be/eZ7F6 https://rdcu.be/eZ7F6"  
[X Link](https://x.com/Iaminwhere/status/2014076670483763421)  2026-01-21T20:44Z [--] followers, [--] engagements


"BREAKING: Study reveals Twitter bots amplified COVID-19 conspiracy theories deepening online divisions during the pandemic (Xu et al. from Nagoya University) https://rdcu.be/eZ7F6 https://rdcu.be/eZ7F6"  
[X Link](https://x.com/Iaminwhere/status/2014096713489719519)  2026-01-21T22:04Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically calming down negative social media posts (Xu et al. from USTC). New study finds models like Llama and Claude soften anger and fear preferring neutral or positive tones in responses. https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014099604929691875)  2026-01-21T22:15Z [--] followers, [--] engagements


"BREAKING: Study reveals AI models show strong ethical biases in life-or-death decisions with open-source models favoring marginalized groups (Xu et al. from USTC). Closed-source models tend to favor mainstream groups raising major fairness concerns. https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014116156874047588)  2026-01-21T23:21Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives during Ukraine conflict (Xu et al. from USTC) https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014122401911513526)  2026-01-21T23:46Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" systematically neutralizing anger and fear in online climate discussions (Xu et al. from USTC) https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014135032076443654)  2026-01-22T00:36Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" systematically turning online anger and fear into neutral or positive responses study finds (Xu et al. from USTC) https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014140117481668875)  2026-01-22T00:56Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasopen-source models favor marginalized groups while closed-source ones favor mainstream (Xu et al. from USTC). The research tested [--] LLMs in over [-----] ethical dilemma trials. https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014141037774791024)  2026-01-22T01:00Z [--] followers, [--] engagements


"The domain-based embedding technique proved faster and more accurate than retweet or language analysis for mapping divides in events like the COVID-19 infodemic. https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014142357663613419)  2026-01-22T01:05Z [--] followers, [--] engagements


"Analysis of 20M+ posts shows English content drove toxicity and influenced discourse in Japanese & German highlighting a new front in social media warfare. https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014143356205776973)  2026-01-22T01:09Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasopen-source models favor marginalized groups while closed-source models favor mainstream groups in life-or-death dilemmas (Xu et al. from USTC) https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014146807417217335)  2026-01-22T01:23Z [--] followers, [--] engagements


"BREAKING: New method detects social media polarization faster and more accurately than traditional AI models (Xu et al. from USTC) https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014148105348984844)  2026-01-22T01:28Z [--] followers, [--] engagements


"BREAKING: AI Chatbots Act as "Emotional Dampeners" Study FindsSystematically Neutralizing Anger and Fear in Online Conversations (Xu et al. from USTC) https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014149433521520962)  2026-01-22T01:33Z [--] followers, [--] engagements


"BREAKING: New AI method tracks social media polarization faster & more accurately than traditional approaches (Xu et al. from USTC) https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014153268423692503)  2026-01-22T01:48Z [--] followers, [--] engagements


"BREAKING: New AI method tracks social media polarization faster and more accurately than traditional approaches (Xu et al. from USTC) https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014154193070694703)  2026-01-22T01:52Z [--] followers, [--] engagements


"BREAKING: AI Chatbots Act as "Emotional Moderators" Systematically Neutralizing Anger and Fear in Online Discussions (Xu et al. from USTC) https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014157034514722995)  2026-01-22T02:03Z [--] followers, [--] engagements


"BREAKING: New AI method maps social media polarization faster and more accurately than traditional approaches (Xu et al. from University of Science and Technology of China) https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014159868098429403)  2026-01-22T02:15Z [--] followers, [--] engagements


"BREAKING: Study reveals Twitter bots amplified COVID-19 conspiracy theories deepening social divides during the pandemic (Xu et al. from Nagoya University). Malicious automated accounts played a non-negligible role in spreading "5G" and "Bill Gates" misinformation. https://rd"  
[X Link](https://x.com/Iaminwhere/status/2014162041884516602)  2026-01-22T02:23Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators consistently turning online anger and fear into calmer more neutral responses (Xu et al. from USTC). New study finds LLMs like Llama and Claude soften negative emotions in social media conversations. https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014163228499296742)  2026-01-22T02:28Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" systematically turning online anger and fear into calm neutral responses study finds (Xu et al. from USTC) https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014174509314560105)  2026-01-22T03:13Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter while humans lead on Reddit in shaping Ukraine war narratives across languages (Xu et al. from USTC) https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014183015828873275)  2026-01-22T03:47Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically reducing anger and fear in social media replies (Xu et al. from USTC). New study finds models like Claude and Llama3 soften negative emotions in climate discussions preferring neutral or positive tones. https:/"  
[X Link](https://x.com/Iaminwhere/status/2014184093454659885)  2026-01-22T03:51Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasopen-source models favor marginalized groups while closed-source ones favor mainstream groups in life-or-death decisions (Xu et al. from USTC) https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014189374951567662)  2026-01-22T04:12Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically neutralizing anger and fear in online climate debates (Xu et al. from USTC) https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014202832711504046)  2026-01-22T05:05Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" systematically toning down negative anger and fear in social media posts new study finds (Xu et al. from USTC) https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014205941731017147)  2026-01-22T05:18Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" systematically toning down anger and fear in social media replies new study finds (Xu et al. from USTC) https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014207018039713803)  2026-01-22T05:22Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning users face significantly more toxic replies than right or center users on Twitter (Xu et al. from USTC). Analysis of over [---] million posts shows a stark imbalance in online harassment. https://doi.org/10.1145/3678884.3681849 https://doi.org/10.1145/3678884.3681849"  
[X Link](https://x.com/Iaminwhere/status/2014208423303250158)  2026-01-22T05:28Z [--] followers, [--] engagements


"BREAKING: New study reveals AI's hidden ethical biasopen-source models favor marginalized groups while closed-source ones favor mainstream groups in life-or-death decisions (Xu et al. from USTC) https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014209431421018556)  2026-01-22T05:32Z [--] followers, [--] engagements


"BREAKING: New study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source models favor mainstream groups in life-or-death decisions (Xu et al. from USTC) https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014211769900884096)  2026-01-22T05:41Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically calming down negative social media posts (Xu et al. from USTC). New study finds models like Claude and Llama soften anger and fear preferring neutral or positive tones in responses. https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014216462110785689)  2026-01-22T06:00Z [--] followers, [--] engagements


"BREAKING: New AI method detects social media polarization faster and more accurately by analyzing shared website links (Xu et al. from UST China). The technique outperforms traditional network and language analysis crucial for tracking misinformation during events like electi"  
[X Link](https://x.com/Iaminwhere/status/2014223475666513988)  2026-01-22T06:27Z [--] followers, [--] engagements


"Analysis of 20M+ posts shows English content drives toxicity and influences discourse in Japanese & German highlighting how social media is weaponized in modern warfare. https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014226014046752835)  2026-01-22T06:37Z [--] followers, [--] engagements


"BREAKING: New method tracks social media polarization better than language or network analysis study finds (Xu et al. from University of Science and Technology of China) https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014228574044336493)  2026-01-22T06:48Z [--] followers, [--] engagements


"Analysis of 20M+ posts shows English content drives toxicity and influences discourse in Japanese & German highlighting social media's weaponization in modern warfare. https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014258612592644315)  2026-01-22T08:47Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically neutralizing anger and fear in online climate debates (Xu et al. from USTC). New study finds models like Llama and Claude soften negative emotions preferring neutral or positive tones in responses. https://doi"  
[X Link](https://x.com/Iaminwhere/status/2014260111708188876)  2026-01-22T08:53Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC). New research maps the flow of online abuse across political lines. https://doi.org/10.1145/3678884.3681849 https://doi.org/10.1145/3678884.3681849"  
[X Link](https://x.com/Iaminwhere/status/2014280955289370920)  2026-01-22T10:16Z [--] followers, [--] engagements


"BREAKING: AI ethics study reveals open-source models favor marginalized groups while closed-source models lean toward mainstream groups in life-or-death dilemmas (Xu et al. from USTC) https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014353400092377598)  2026-01-22T15:04Z [--] followers, [--] engagements


"BREAKING: New AI method detects social media polarization faster and more accurately by analyzing shared website links (Xu et al. from University of Science and Technology of China) https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014354336638554426)  2026-01-22T15:07Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in wartime social media manipulation (Xu et al. from USTC) https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014361196150005992)  2026-01-22T15:35Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" systematically turning online anger and fear into calm neutral responses study finds (Xu et al. from USTC). Research shows models like Llama and Claude soften negative emotions in social media conversations while maintaini"  
[X Link](https://x.com/Iaminwhere/status/2014363220115636241)  2026-01-22T15:43Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) https://doi.org/10.1145/3678884.3681849 https://doi.org/10.1145/3678884.3681849"  
[X Link](https://x.com/Iaminwhere/status/2014397210646216844)  2026-01-22T17:58Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean toward mainstream (Xu et al. from USTC) https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014404063333580987)  2026-01-22T18:25Z [--] followers, [--] engagements


"BREAKING: Left-leaning users receive significantly more toxic replies than Right or Center users on Twitter reveals study of 500M posts (Xu et al. from USTC) https://doi.org/10.1145/3678884.3681849 https://doi.org/10.1145/3678884.3681849"  
[X Link](https://x.com/Iaminwhere/status/2014406125962363184)  2026-01-22T18:33Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014408047230435778)  2026-01-22T18:41Z [--] followers, [--] engagements


"BREAKING: New study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #SocialMedia #PoliticalPolarization #CSCW #AcademicTwitter https://doi.org/10.1145/3678884.3681849 https://doi.org/10.1145/3678884.3681849"  
[X Link](https://x.com/Iaminwhere/status/2014411375007908042)  2026-01-22T18:54Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas. (Xu et al. from. #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014412572720836697)  2026-01-22T18:59Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users during political discourse (Xu et al. from USTC) #SocialMedia #PoliticalPolarization #CSCW #AcademicTwitter https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014413813001695462)  2026-01-22T19:04Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #SocialMedia #PoliticalPolarization #CSCW #AcademicTwitter https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014414429824421998)  2026-01-22T19:06Z [--] followers, [--] engagements


"BREAKING: Left-leaning Twitter users face significantly more toxic replies than Right or Center users new study of 500M posts reveals (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014415247529173045)  2026-01-22T19:09Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas. (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014416969630679438)  2026-01-22T19:16Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down human anger and fear in climate discussions (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014424372212334892)  2026-01-22T19:46Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean toward mainstream (Xu et al. from USTC) #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014426726181503230)  2026-01-22T19:55Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically neutralizing anger and fear in climate discussions (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014434725759533513)  2026-01-22T20:27Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning Twitter users receive significantly more toxic replies than right-leaning or centrist users (Xu et al. from USTC). Analysis of over [---] mil. #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014436959666798791)  2026-01-22T20:36Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones favor mainstream (Xu et al. from USTC) #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014438426742014193)  2026-01-22T20:42Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically toning down human anger and fear (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014446413728645386)  2026-01-22T21:13Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014447947531035109)  2026-01-22T21:19Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from U. #AIethics #LLM #Bias #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014449583770984650)  2026-01-22T21:26Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators consistently softening negative social media posts with neutral or positive replies study finds (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014457782515466537)  2026-01-22T21:58Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014460960648642841)  2026-01-22T22:11Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014464183618978085)  2026-01-22T22:24Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down negative posts and steering conversations toward neutrality study finds (Xu et al. #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014475895491469701)  2026-01-22T23:10Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning users receive significantly more toxic replies than right or center users on Twitter (Xu et al. from USTC). Analysis of over [---] million po. #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014478343656374320)  2026-01-22T23:20Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning users face significantly more toxic replies than right or center users on Twitter (Xu et al. from USTC). Analysis of over [---] million posts. #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014492529883066673)  2026-01-23T00:17Z [--] followers, [--] engagements


"BREAKING: Study reveals AI models show systematic bias in ethical decisions with open-source LLMs favoring marginalized groups while closed-source models prefer mainstream choices. #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014493253450780690)  2026-01-23T00:19Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically neutralizing anger and fear in climate discussions (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014497840769417687)  2026-01-23T00:38Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014499154807161097)  2026-01-23T00:43Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from US. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014500251638657300)  2026-01-23T00:47Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically toning down negative human anger and fear (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014504961992954336)  2026-01-23T01:06Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014505725901557933)  2026-01-23T01:09Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas. (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014507045488361499)  2026-01-23T01:14Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives across languages (Xu et al. from USTC) #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014509487563186612)  2026-01-23T01:24Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down human anger and fear in conversations (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014512055165034917)  2026-01-23T01:34Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014513574522290252)  2026-01-23T01:40Z [--] followers, [--] engagements


"BREAKING: Left-leaning Twitter users receive significantly more toxic replies than Right or Center users reveals study of 500M+ posts (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014520468162936933)  2026-01-23T02:08Z [--] followers, [--] engagements


"BREAKING: New method tracks social media polarization more effectively than traditional AI using shared website links to map user beliefs during heated events like COVID-19 debate. #SocialMedia #Misinformation #ComputationalSocialScience #Research https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014522383676408182)  2026-01-23T02:15Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically neutralizing anger and fear in online climate debates (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014526442273665125)  2026-01-23T02:31Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users during political discourse (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014527748476436884)  2026-01-23T02:36Z [--] followers, [--] engagements


"BREAKING: New AI method tracks social media polarization faster and more accurately than traditional approaches (Xu et al. from USTC) #ComputationalSocialScience #SocialMedia #Misinformation #AIResearch https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014529666393285004)  2026-01-23T02:44Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically neutralizing negative posts about climate change (Xu et al. from USTC) #AI #LLM #SocialMedia #AcademicTwitter https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014532352480051707)  2026-01-23T02:55Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning users face significantly more toxic replies than right or center users on Twitter (Xu et al. from USTC). Analysis of over 500M posts shows. #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014533108801143102)  2026-01-23T02:58Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014534073767858196)  2026-01-23T03:02Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" systematically toning down negative human emotions in social media replies (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014538753327685815)  2026-01-23T03:20Z [--] followers, [--] engagements


"BREAKING: Left-leaning users face significantly more toxic replies than Right or Center users on Twitter new study of 500M posts reveals (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014540250136326388)  2026-01-23T03:26Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014541759565726206)  2026-01-23T03:32Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically toning down human anger and fear (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014546828117868773)  2026-01-23T03:52Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014548305334960608)  2026-01-23T03:58Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean toward mainstream (Xu et al. from USTC) #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014549079402152196)  2026-01-23T04:01Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically toning down negative feelings in social media replies new study finds (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014553601193242680)  2026-01-23T04:19Z [--] followers, [--] engagements


"BREAKING: Left-leaning users face significantly more toxic replies than Right or Center users on Twitter reveals massive study of 500M posts (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014554287519760574)  2026-01-23T04:22Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas. (Xu et al. from. #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014555863588200954)  2026-01-23T04:28Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" systematically toning down negative human anger and fear in online discussions (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014559729427874236)  2026-01-23T04:44Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014560362285416841)  2026-01-23T04:46Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas. (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014561872880795977)  2026-01-23T04:52Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically toning down negative posts about climate change (Xu et al. from USTC) #AI #LLM #SocialMedia #AcademicTwitter https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014566846096457855)  2026-01-23T05:12Z [--] followers, [--] engagements


"BREAKING: Left-leaning users receive significantly more toxic replies than Right or Center users on Twitter reveals analysis of 500M+ posts (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014568176160477691)  2026-01-23T05:17Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014569389052563555)  2026-01-23T05:22Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically neutralizing anger and fear in climate discussions (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014573524103659693)  2026-01-23T05:38Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014574952515829850)  2026-01-23T05:44Z [--] followers, [--] engagements


"BREAKING: New study reveals AI ethics vary dramaticallyopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014576485764628506)  2026-01-23T05:50Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in online info war over Ukraine (Xu et al. from USTC). English posts found to drive toxicity & shape narratives. #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014578784310292732)  2026-01-23T05:59Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically toning down negative posts about climate change (Xu et al. from USTC) #AI #LLM #SocialMedia #AcademicTwitter https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014580459968373233)  2026-01-23T06:06Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014581540580426122)  2026-01-23T06:10Z [--] followers, [--] engagements


"BREAKING: Study reveals AI models show systematic bias in ethical decisions favoring different groups based on whether they are open or closed-source (Xu et al. from USTC) #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014582560903561498)  2026-01-23T06:14Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in Russo-Ukrainian war discourse with English content driving toxicity and narrative spread to other languages. #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014584837856972956)  2026-01-23T06:23Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators consistently turning negative social media posts into neutral or positive responses (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014587796854604092)  2026-01-23T06:35Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning users face significantly more toxic attacks than right or center users on Twitter (Xu et al. from USTC). Analysis of over [---] million posts. #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014588675414429950)  2026-01-23T06:39Z [--] followers, [--] engagements


"BREAKING: AI ethics study reveals open-source models favor marginalized groups while closed-source models lean toward mainstream choices in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014589965175509023)  2026-01-23T06:44Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives across languages (Xu et al. from USTC). English posts found to drive toxicity and. #SocialMedia #Disinformation #DataScience #DigitalWarfare https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014592324886790234)  2026-01-23T06:53Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically toning down negative feelings in social media conversations (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014593973420228794)  2026-01-23T07:00Z [--] followers, [--] engagements


"BREAKING: Left-leaning users receive significantly more toxic replies than Right or Center users on Twitter reveals study of 500M+ posts (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014594707465420989)  2026-01-23T07:03Z [--] followers, [--] engagements


"BREAKING: New study reveals AI models show systematic bias in ethical decisions with open-source LLMs favoring marginalized groups while closed-source models prefer mainstream cho. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014595599300231346)  2026-01-23T07:06Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically toning down negative feelings in social media conversations (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014600492845089104)  2026-01-23T07:26Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014601378103230534)  2026-01-23T07:29Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014602341794934955)  2026-01-23T07:33Z [--] followers, [--] engagements


"BREAKING: New method tracks social media polarization faster & more accurately than traditional AI analyzing links shared during events like COVID-19 & elections (Xu et al. from U. #ComputationalSocialScience #SocialMedia #Misinformation #Research https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2014603285760811195)  2026-01-23T07:37Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down negative posts and favoring neutral responses study finds (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014614215726924188)  2026-01-23T08:20Z [--] followers, [--] engagements


"BREAKING: Left-leaning users receive significantly more toxic replies than Right or Center users on Twitter study of 500M posts reveals (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014615476375323085)  2026-01-23T08:25Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014616245916860912)  2026-01-23T08:28Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down human anger and fear in climate discussions (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014620882996740099)  2026-01-23T08:47Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas. (Xu et al. from. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2014623329483948373)  2026-01-23T08:56Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014650024995782664)  2026-01-23T10:42Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically neutralizing anger and fear in climate discussions (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014654377769005221)  2026-01-23T11:00Z [--] followers, [--] engagements


"BREAKING: Left-leaning Twitter users receive significantly more toxic replies than Right or Center users new study of 500M posts reveals (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014655457974222907)  2026-01-23T11:04Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning Twitter users receive significantly more toxic replies than right or center users (Xu et al. from USTC). Analysis of 500M+ posts shows a cl. #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014703190231629931)  2026-01-23T14:14Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users during political discourse (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014703608433148177)  2026-01-23T14:15Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014703875903922557)  2026-01-23T14:16Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014721961524592837)  2026-01-23T15:28Z [--] followers, [--] engagements


"BREAKING: New study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014733149679583400)  2026-01-23T16:13Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users face significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014751098561851675)  2026-01-23T17:24Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning users face significantly more toxic replies than right or center users on Twitter (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014755182203322535)  2026-01-23T17:40Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users face significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014755770341204296)  2026-01-23T17:43Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning Twitter users receive significantly more toxic replies than right or center users (Xu et al. from USTC). Analysis of over 500M posts shows. #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014756473679839293)  2026-01-23T17:45Z [--] followers, [--] engagements


"BREAKING: Left-leaning Twitter users receive significantly more toxic replies than Right or Center users new study of 500M posts reveals (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014758405106500016)  2026-01-23T17:53Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014815546559299716)  2026-01-23T21:40Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down human anger and fear in conversations (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014840640451051843)  2026-01-23T23:20Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning users face significantly more toxic replies than right or center users on Twitter (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014844333250510981)  2026-01-23T23:34Z [--] followers, [--] engagements


"BREAKING: Left-leaning users receive significantly more toxic replies than Right or Center users on Twitter reveals analysis of 500M+ posts (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014857454241382843)  2026-01-24T00:27Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014874293910610206)  2026-01-24T01:34Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in Russo-Ukrainian war discourse with English content driving toxicity and influencing other languages. (Xu et. #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014878128058073519)  2026-01-24T01:49Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014881196740862107)  2026-01-24T02:01Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users during political discourse (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014890871343481105)  2026-01-24T02:39Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives across languages (Xu et al. from USTC) #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014911853798044090)  2026-01-24T04:03Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping war narratives across languages (Xu et al. from USTC) #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2014950490266861917)  2026-01-24T06:36Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically neutralizing anger and fear in online climate debates (Xu et al. from USTC) #LLM #AI #SocialMedia #AcademicTwitter https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2014960359837454462)  2026-01-24T07:16Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users face significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014975178955227269)  2026-01-24T08:14Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2014990262553165861)  2026-01-24T09:14Z [--] followers, [--] engagements


"BREAKING: Left-leaning users face significantly more toxic replies than Right or Center users on X/Twitter new study of 500M+ posts reveals (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015005336927948819)  2026-01-24T10:14Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users during political discourse (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015016957347762231)  2026-01-24T11:00Z [--] followers, [--] engagements


"BREAKING: New method tracks social media polarization better than traditional networks by analyzing shared website links (Xu et al. from USTC) #ComputationalSocialScience #SocialMedia #Misinformation #Research https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2015034943941009813)  2026-01-24T12:12Z [--] followers, [--] engagements


"BREAKING: New method maps social media polarization faster & more accurately than traditional AI using shared website links instead of retweets or language analysis (Xu et al. fro. #ComputationalSocialScience #SocialMedia #Misinformation #Research https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2015040228709556323)  2026-01-24T12:33Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down human anger and fear in conversations (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2015043130538782892)  2026-01-24T12:44Z [--] followers, [--] engagements


"BREAKING: New study of 500M+ tweets reveals left-leaning users receive significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015043864441303284)  2026-01-24T12:47Z [--] followers, [--] engagements


"BREAKING: New method maps social media polarization faster and more accurately than traditional AI using shared website links to reveal divided user groups (Xu et al. from USTC) #ComputationalSocialScience #SocialMedia #Misinformation #Research https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2015045890227282190)  2026-01-24T12:55Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives across languages (Xu et al. from USTC) #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2015047083032760572)  2026-01-24T13:00Z [--] followers, [--] engagements


"BREAKING: Study of 500M+ tweets reveals left-leaning users face significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015063159498039424)  2026-01-24T14:04Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down human anger and fear in conversations (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2015087122546557406)  2026-01-24T15:39Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users during political discourse (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015108742619304198)  2026-01-24T17:05Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from U. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2015130058420273216)  2026-01-24T18:30Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in online warfare over Ukraine conflict (Xu et al. from USTC). English content drives toxicity and influences d. #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2015135259889909891)  2026-01-24T18:51Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically toning down negative posts and anger. (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2015162584320954446)  2026-01-24T20:39Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning Twitter users receive significantly more toxic replies than right or center users (Xu et al. from USTC). Analysis of over [---] million posts. #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015165640055931155)  2026-01-24T20:51Z [--] followers, [--] engagements


"BREAKING: New study reveals left-leaning users face significantly more toxic attacks than right or center users on Twitter (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalScience #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015186178467832161)  2026-01-24T22:13Z [--] followers, [--] engagements


"BREAKING: Study reveals AI ethical bias: Open-source models favor marginalized groups while closed-source ones favor mainstream groups in life-or-death dilemmas. (Xu et al. from U. #AI #Ethics #LLM #AcademicTwitter https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2015190224742265147)  2026-01-24T22:29Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators consistently turning negative social media posts into neutral or positive responses (Xu et al. from USTC) #LLM #AI #SocialMedia #AcademicTwitter https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2015202290421113299)  2026-01-24T23:17Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users during political discourse (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015204478346305930)  2026-01-24T23:26Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean mainstream in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2015206357562175592)  2026-01-24T23:33Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives across languages (Xu et al. from USTC) #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2015214432750805237)  2026-01-25T00:05Z [--] followers, [--] engagements


"BREAKING: Study reveals AI chatbots act as "emotional moderators" on social media systematically toning down negative posts about climate change (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2015216545472090127)  2026-01-25T00:14Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users during political discourse (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015217482232189251)  2026-01-25T00:17Z [--] followers, [--] engagements


"BREAKING: New AI method maps social media polarization faster and more accurately than traditional networks by analyzing shared website links (Xu et al. from USTC) #ComputationalSocialScience #SocialMedia #Misinformation #AI https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2015220199554003048)  2026-01-25T00:28Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives across languages (Xu et al. from USTC). English content drives toxicity and influ. #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2015221468809072825)  2026-01-25T00:33Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as emotional moderators systematically calming down negative social media posts study finds (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2015224782066008233)  2026-01-25T00:46Z [--] followers, [--] engagements


"BREAKING: Study reveals AI ethical bias: Open-source models favor marginalized groups while closed-source models favor mainstream groups in life-or-death dilemmas (Xu et al. from. #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2015227664609726692)  2026-01-25T00:58Z [--] followers, [--] engagements


"BREAKING: New AI method maps social media polarization faster and more accurately than traditional networks (Xu et al. from USTC) #ComputationalSocialScience #SocialMedia #Misinformation #DataScience https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2015229031525109845)  2026-01-25T01:03Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives across languages (Xu et al. from USTC) #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2015230713772359857)  2026-01-25T01:10Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down negative posts and steering conversations toward neutrality (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2015233735554396521)  2026-01-25T01:22Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users face significantly more toxic replies than right or center users (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015235354023088236)  2026-01-25T01:28Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean toward mainstream (Xu et al. from USTC) #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2015237058865098898)  2026-01-25T01:35Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" systematically toning down negative feelings in social media replies new study finds (Xu et al. from USTC) #AI #LLM #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2015242088175296547)  2026-01-25T01:55Z [--] followers, [--] engagements


"BREAKING: New method maps social media polarization faster & more accurately than traditional AI using shared website links to reveal divides in politics and health crises (Xu et. #ComputationalSocialScience #Misinformation #SocialMedia #DataScience https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2015245818887037263)  2026-01-25T02:10Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead Reddit in shaping wartime narratives across languages (Xu et al. from USTC) #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2015246818918175193)  2026-01-25T02:14Z [--] followers, [--] engagements


"BREAKING: New study reveals a faster more effective way to track political and health misinformation online by analyzing the links users share (Xu et al. from USTC) #SocialMedia #Misinformation #ComputationalSocialScience #Research https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2015254141418062242)  2026-01-25T02:43Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives across languages (Xu et al. from USTC) #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2015255224152412667)  2026-01-25T02:47Z [--] followers, [--] engagements


"BREAKING: Study of 500M tweets reveals left-leaning users receive significantly more toxic replies than right or center users during political discourse (Xu et al. from USTC) #antiICE #SocialMedia #PoliticalPolarization #CSCW https://doi.org/qnts https://doi.org/qnts"  
[X Link](https://x.com/Iaminwhere/status/2015260132402450621)  2026-01-25T03:07Z [--] followers, [--] engagements


"BREAKING: Study reveals bots dominate Twitter humans lead on Reddit in shaping wartime narratives across languages (Xu et al. from USTC) #SocialMedia #Disinformation #DataScience #AcademicTwitter https://doi.org/qntm https://doi.org/qntm"  
[X Link](https://x.com/Iaminwhere/status/2015263967200059766)  2026-01-25T03:22Z [--] followers, [--] engagements


"BREAKING: AI chatbots act as "emotional moderators" on social media systematically toning down anger and fear in user posts (Xu et al. from USTC) #LLM #AI #SocialMedia #NLP https://doi.org/qntp https://doi.org/qntp"  
[X Link](https://x.com/Iaminwhere/status/2015266608122671499)  2026-01-25T03:32Z [--] followers, [--] engagements


"BREAKING: Study reveals AI's hidden ethical biasesopen-source models favor marginalized groups while closed-source ones lean toward mainstream (Xu et al. from USTC) #AI #Ethics #LLM #Research https://doi.org/qntn https://doi.org/qntn"  
[X Link](https://x.com/Iaminwhere/status/2015268754792567254)  2026-01-25T03:41Z [--] followers, [--] engagements


"BREAKING: New study reveals a faster more effective way to track political and health misinformation online by analyzing the links users share. (Xu et al. from USTC) #SocialMedia #Misinformation #ComputationalSocialScience #Research https://rdcu.be/eZ7J1 https://rdcu.be/eZ7J1"  
[X Link](https://x.com/Iaminwhere/status/2015269982918373857)  2026-01-25T03:46Z [--] followers, [--] engagements

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