Can Computer Vision Find the Style of Misleading Videos about Cancer?

Alternative health and conventional medicine discourse about cancer on TikTok: A computer vision analysis of TikTok videos Roxana Muenster and Drew Margolin This study sought to examine how cancer discourse on TikTok differs between conventional medicine and...

Who is Allowed to Speak About THIS

Topic territoriality and the cost of civility: examining the impact of IP address disclosure on Weibo Chao Yu and Drew Margolin This article introduces the concept of “topic territoriality,” a mechanism that governs participation in conversational spaces. When a...

What Kind of Corrections and Admonitions Do Other People Want to See?

Standing up to problematic content on social media: which objection strategies draw the audience’s approval? Pengfei Zhao, Natalie Bazarova, Dominic DiFranzo, Winice Hui, Rene Kizilcec, and Drew Margolin Problematic content on social media can be countered through...

Can Fake News Convey Some Kind of Truth??

The Theory of Informative Fictions: A Character-Based Approach to False News and other Misinformation Drew B. Margolin This article derives a theory of informative fictions (TIF). Common forms of misinformation—fake news, rumors, and conspiracy theories—while...

Encouraging Symbiosis in Computational Communication Science

Computational Contributions: A Symbiotic Approach to Integrating Big, Observational Data Studies into the Communication Field Drew B. Margolin Though there is growing enthusiasm for computational research methods in the field of communication, research using...

About

The internet, and social media in particular, have made individual and institutional discourse visible like never before. Yet the production of discourse — what leads individuals or institutions to speak up, whom do they address, what do they say — is not yet well understood. Our research focuses on understanding these dynamics through the quantitative aggregation of collective communication behavior.