My ideas for ‘Theory-Driven Interface Design Strategies to Address ‘False News’ on Social Media’

I have enjoyed my work for the past two years on our Social Cybersecurity project at the Human-Computer Interaction Institute at Carnegie Mellon University. Building on my news and social media background, I’ve also been working on some specific ideas for design strategies to address viral hoaxes, rumors and disinformation/misinformation in social computing systems. Many thanks to HCI faculty Niki Kittur and Geoff Kaufman for providing ideas for prior work to incorporate into these strategies, and to Kathleen M. Carley for her perspective as a computational sociologist.

Poster for Knight Foundation site visit to Carnegie Mellon University, April 8, 2019. Abstract: Non-expert users and experts such as journalists alike can have trouble judging the quality of the content and sources that they encounter in social media. Current interface designs may not be leveraging what we know about how users perceive and judge information when they are multitasking or quickly scanning a display. Our work aims to create new design guidelines for helping busy users to assess false news, unverified rumors and hoaxes in two contexts: (1) Helping users to make their own judgment of 
which specific content should not be trusted; (2) Aiding users in judging the credibility of information sources found in social media.

Today I will debut these for the first time in public and speak with people from the Knight Foundation about some of my ideas. Onward!

Author: Cori

Cori Faklaris (aka "HeyCori") is an assistant professor at the University of North Carolina at Charlotte, Department of Software and Information Systems, College of Computing. Faklaris received her PhD in human-computer interaction in 2022 from Carnegie Mellon University's Human-Computer Interaction Institute, School of Computer Science, in Pittsburgh, PA, USA. She also is a social media expert and longtime journalist, and/or "Doer of Things No One Else Wants to Do."

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