Tracking the 2024 US Presidential Election Chatter on Tiktok: A Public Multimodal Dataset
Gabriela Pinto, Charles Bickham, Tanishq Salkar — This paper documents our release of a large-scale data collection of TikTok posts related to the upcoming 2024 U.S. Presidential Election. Our current data comprises 1.8 million videos published between November 1, 2023, and May 26, 2024. Its exploratory analysis identifies the most common keywords, hashtags, and bigra
Examining the Implications of Deepfakes for Election Integrity
Hriday Ranka, Mokshit Surana, Neel Kothari — It is becoming cheaper to launch disinformation operations at scale using AI-generated content, in particular 'deepfake' technology. We have observed instances of deepfakes in political campaigns, where generated content is employed to both bolster the credibility of certain narratives (reinforcing outcomes) and manipu
Unfiltered Conversations: A Dataset of 2024 U.S. Presidential Election Discourse on Truth Social
Kashish Shah, Patrick Gerard, Luca Luceri — Truth Social, launched as a social media platform with a focus on free speech, has become a prominent space for political discourse, attracting a user base with diverse, yet often conservative, viewpoints. As an emerging platform with minimal content moderation, Truth Social has facilitated discussions around contentio
Nonparametric Detection of Gerrymandering in Multiparty Elections
Wojciech Słomczyński, Dariusz Stolicki, Stanisław Szufa — Partisan gerrymandering, i.e., manipulation of electoral district boundaries for political advantage, is one of the major challenges to election integrity in modern day democracies. Yet most of the existing methods for detecting partisan gerrymandering are narrowly tailored toward fully contested two-party elections, a