687 citations · 1.4k across the 9 of their papers we have counts for
9 papers
Embedding Democratic Values into Social Media AIs via Societal Objective Functions
Chenyan Jia, Michelle S. Lam, Minh Chau Mai +2
Can we design artificial intelligence (AI) systems that rank our social media feeds to consider democratic values such as mitigating partisan animosity as part of their objective f…
Hate Raids on Twitch: Echoes of the Past, New Modalities, and Implications for Platform Governance
Catherine Han, Joseph Seering, Deepak Kumar +2
In the summer of 2021, users on the livestreaming platform Twitch were targeted by a wave of "hate raids," a form of attack that overwhelms a streamer's chatroom with hateful messa…
Understanding Longitudinal Behaviors of Toxic Accounts on Reddit
Deepak Kumar, Jeff Hancock, Kurt Thomas +1
Toxic comments are the top form of hate and harassment experienced online. While many studies have investigated the types of toxic comments posted online, the effects that such con…
Human heuristics for AI-generated language are flawed
Maurice Jakesch, Jeffrey Hancock, Mor Naaman
Human communication is increasingly intermixed with language generated by AI. Across chat, email, and social media, AI systems suggest words, complete sentences, or produce entire…
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park +4
Whose labels should a machine learning (ML) algorithm learn to emulate? For ML tasks ranging from online comment toxicity to misinformation detection to medical diagnosis, differen…
Artificial intelligence in communication impacts language and social relationships
Jess Hohenstein, Dominic DiFranzo, Rene F. Kizilcec +6
Artificial intelligence (AI) is now widely used to facilitate social interaction, but its impact on social relationships and communication is not well understood. We study the soci…
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration
Pranav Khadpe, Ranjay Krishna, Li Fei-Fei +2
With the emergence of conversational artificial intelligence (AI) agents, it is important to understand the mechanisms that influence users' experiences of these agents. We study a…
Estimating the Prevalence of Deception in Online Review Communities
Myle Ott, Claire Cardie, Jeff Hancock
Consumers' purchase decisions are increasingly influenced by user-generated online reviews. Accordingly, there has been growing concern about the potential for posting "deceptive o…
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Myle Ott, Yejin Choi, Claire Cardie +1
Consumers increasingly rate, review and research products online. Consequently, websites containing consumer reviews are becoming targets of opinion spam. While recent work has foc…