activity
20202026
most citedPolitical Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19

15 citations · 28 across the 20 of their papers we have counts for

collaborators

21 papers

cs.CL2026

How Far Will They Go? Red-Teaming Online Influence with Large Language Models

Daniel C. Ruiz, Anna Serbina, Ashwin Rao +2

As large language model (LLM)-based agents increasingly participate in online discourse, red-teaming their capacity to support political influence campaigns is critical for informa…

cs.CL2025

Gendered Divides in Online Discussions about Reproductive Rights

Ashwin Rao, Sze Yuh Nina Wang, Kristina Lerman

The U.S. Supreme Court's 2022 ruling in Dobbs v. Jackson Women's Health Organization marked a turning point in the national debate over reproductive rights. While the ideological d…

cs.SI2024

In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions

Buddhika Nettasinghe, Ashwin Rao, Bohan Jiang +2

Affective polarization, the emotional divide between ideological groups marked by in-group love and out-group hate, has intensified in the United States, driving contentious issues…

cs.CL2024

Assessing the Impact of Conspiracy Theories Using Large Language Models

Bohan Jiang, Dawei Li, Zhen Tan +5

Measuring the relative impact of CTs is important for prioritizing responses and allocating resources effectively, especially during crises. However, assessing the actual impact of…

cs.CL2024

#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic

Ashwin Rao, Nazanin Sabri, Siyi Guo +2

Effective communication during health crises is critical, with social media serving as a key platform for public health experts (PHEs) to engage with the public. However, it also a…

cs.CL2024

Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations

Abhishek Anand, Negar Mokhberian, Prathyusha Naresh Kumar +5

Researchers have raised awareness about the harms of aggregating labels especially in subjective tasks that naturally contain disagreements among human annotators. In this work we…

cs.CL2024★ 1 cited

Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities

Zihao He, Ashwin Rao, Siyi Guo +2

Recent advances in NLP have improved our ability to understand the nuanced worldviews of online communities. Existing research focused on probing ideological stances treats liberal…

cs.CL2024

Whose Emotions and Moral Sentiments Do Language Models Reflect?

Zihao He, Siyi Guo, Ashwin Rao +1

Language models (LMs) are known to represent the perspectives of some social groups better than others, which may impact their performance, especially on subjective tasks such as c…

cs.SI2024★ 1 cited

The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape

Siyi Guo, Zihao He, Ashwin Rao +3

The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely m…

cs.CL2023

Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies

Zihao He, Siyi Guo, Ashwin Rao +1

Social media platforms are rife with politically charged discussions. Therefore, accurately deciphering and predicting partisan biases using Large Language Models (LLMs) is increas…

cs.CY2023★ 2 cited

Polarized Online Discourse on Abortion: Frames and Hostile Expressions among Liberals and Conservatives

Ashwin Rao, Rong-Ching Chang, Qiankun Zhong +2

Abortion has been one of the most divisive issues in the United States. Yet, missing is comprehensive longitudinal evidence on how political divides on abortion are reflected in pu…

cs.SI2023★ 1 cited

Affective Polarization and Dynamics of Information Spread in Online Networks

Kristina Lerman, Dan Feldman, Zihao He +1

Members of different political groups not only disagree about issues but also dislike and distrust each other. While social media can amplify this emotional divide -- called affect…

cs.CY2023★ 1 cited

Transcribing Educational Videos Using Whisper: A preliminary study on using AI for transcribing educational videos

Ashwin Rao

Videos are increasingly being used for e-learning, and transcripts are vital to enhance the learning experience. The costs and delays of generating transcripts can be alleviated by…

cs.SI2023★ 2 cited

Measuring Online Emotional Reactions to Events

Siyi Guo, Zihao He, Ashwin Rao +5

The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely m…

cs.SI2023

Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts

Keith Burghardt, Ashwin Rao, Siyi Guo +6

Online manipulation is a pressing concern for democracies, but the actions and strategies of coordinated inauthentic accounts, which have been used to interfere in elections, are n…

cs.SI2023★ 2 cited

Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions

Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang +2

Effective response to pandemics requires coordinated adoption of mitigation measures, like masking and quarantines, to curb a virus's spread. However, as the COVID-19 pandemic demo…

cs.CY2023★ 3 cited

#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy

Rong-Ching Chang, Ashwin Rao, Qiankun Zhong +2

On June 24, 2022, the United States Supreme Court overturned landmark rulings made in its 1973 verdict in Roe v. Wade. The justices by way of a majority vote in Dobbs v. Jackson Wo…

cs.SI2022

Retweets Amplify the Echo Chamber Effect

Ashwin Rao, Fred Morstatter, Kristina Lerman

The growing prominence of social media in public discourse has led to a greater scrutiny of the quality of online information and the role it plays in amplifying political polariza…

cs.SI2022

Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic

Siyi Guo, Keith Burghardt, Ashwin Rao +1

The COVID-19 pandemic has upended daily life around the globe, posing a threat to public health. Intuitively, we expect that surging cases and deaths would lead to fear, distress a…

cs.SI2022

Partisan Asymmetries in Exposure to Misinformation

Ashwin Rao, Fred Morstatter, Kristina Lerman

Health misinformation is believed to have contributed to vaccine hesitancy during the Covid-19 pandemic, highlighting concerns about the role of social media in polarization and so…

cs.SI2020★ 15 cited

Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19

Ashwin Rao, Fred Morstatter, Minda Hu +4

The novel coronavirus pandemic continues to ravage communities across the US. Opinion surveys identified importance of political ideology in shaping perceptions of the pandemic and…