3 papers
cs.SI2025
Coordinated Inauthentic Behavior on TikTok: Challenges and Opportunities for Detection in a Video-First Ecosystem
Luca Luceri, Tanishq Vijay Salkar, Ashwin Balasubramanian +3
Detecting coordinated inauthentic behavior (CIB) is central to the study of online influence operations. However, most methods focus on text-centric platforms, leaving video-first…
cs.CL2025
Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection
Eun Cheol Choi, Ashwin Balasubramanian, Jinhu Qi +1
Misinformation surrounding emerging outbreaks poses a serious societal threat, making robust countermeasures essential. One promising approach is stance detection (SD), which ident…
cs.SI2024
A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X
Ashwin Balasubramanian, Vito Zou, Hitesh Narayana +3
In this paper, we introduce the first release of a large-scale dataset capturing discourse on (a.k.a., Twitter) related to the upcoming 2024 U.S. Presidential Election…