5 papers
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…
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…
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…
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…
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…