1.9k citations · 16k across the 151 of their papers we have counts for
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Tracking the 2024 US Presidential Election Chatter on TikTok: A Public Multimodal Dataset
Gabriela Pinto, Charles Bickham, Tanishq Salkar +3
This paper presents the TikTok 2024 U.S. Presidential Election Dataset, a large-scale, resource designed to advance research into political communication and social media dynamics.…
Hybrid Forecasting of Geopolitical Events
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas +26
Sound decision-making relies on accurate prediction for tangible outcomes ranging from military conflict to disease outbreaks. To improve crowdsourced forecasting accuracy, we deve…
Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges
Emilio Ferrara
The proliferation of wearable technology enables the generation of vast amounts of sensor data, offering significant opportunities for advancements in health monitoring, activity r…
Tracking the 2024 US Presidential Election Chatter on Tiktok: A Public Multimodal Dataset
Gabriela Pinto, Charles Bickham, Tanishq Salkar +2
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 vi…
The Susceptibility Paradox in Online Social Influence
Luca Luceri, Jinyi Ye, Julie Jiang +1
Understanding susceptibility to online influence is crucial for mitigating the spread of misinformation and protecting vulnerable audiences. This paper investigates susceptibility…
FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs
Eun Cheol Choi, Emilio Ferrara
Our society is facing rampant misinformation harming public health and trust. To address the societal challenge, we introduce FACT-GPT, a system leveraging Large Language Models (L…