1 citations · 2 across the 5 of their papers we have counts for
5 papers
Characterizing AI Fact-Checkers and Their Contributions on Community Notes
Yilin Gong, Siqi Wu
Recent advances in artificial intelligence (AI) have made timely, scalable, and effective fact-checking increasingly feasible. One such deployment is X's Community Notes, which pro…
Examining Community-Requested Fact-Checking: Request Alerts Are Associated with Greater Diversity and Visibility of Community Notes
Yilin Gong, Siqi Wu
Crowdsourced fact-checking systems such as Community Notes are increasingly used on social media platforms, yet concerns remain about which content receives scrutiny and how visibl…
Community Notes are Vulnerable to Rater Bias and Manipulation
Bao Tran Truong, Siqi Wu, Alessandro Flammini +2
Social media platforms increasingly rely on crowdsourced moderation systems like Community Notes to combat misinformation at scale. However, these systems face challenges from rate…
Preliminary Explorations with GPT-4o(mni) Native Image Generation
Pu Cao, Feng Zhou, Junyi Ji +8
Recently, the visual generation ability by GPT-4o(mni) has been unlocked by OpenAI. It demonstrates a very remarkable generation capability with excellent multimodal condition unde…
How We Define Harm Impacts Data Annotations: Explaining How Annotators Distinguish Hateful, Offensive, and Toxic Comments
Angela Schöpke-Gonzalez, Siqi Wu, Sagar Kumar +2
Computational social science research has made advances in machine learning and natural language processing that support content moderators in detecting harmful content. These adva…