The Effects of Identity Characteristics in Online Community Intervention Design

Scott Appling

HCC PhD Candidate

Ubicomp Health and Wellness Lab

School of Interactive Computing

Georgia Institute of Technology

Date/Time: Nov 6, 2023, 4:00 PM to 6:00 PM Eastern Time (US and Canada)

Location: GVU Cafe in TSRB or Virtual (Additional details below)

Committee

Dr. Rosa Arriaga (advisor), School of Interactive Computing, Georgia Institute of Technology

Dr. Munmun De Choudhury, School of Interactive Computing, Georgia Institute of Technology

Dr. Neha Kumar, School of Interactive Computing, Georgia Institute of Technology

Dr. Thomas Ploetz, School of Interactive Computing, Georgia Institute of Technology 

Dr. Erica Briscoe, Defense Advanced Projects Research Agency, United States Government

Dr. Andrew Sherrill, Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine

Abstract  

Online communities are spaces where some people go to engage in meaningful personal and business-related endeavors. One way to increase the quality of individuals’ online experience is through the research, design, and application of interventions. However, prior work has suggested that one-size-fits-all interventions are not suitable. In my research, I study individual-level factors and identity characteristics, that can inform the design of online system affordances and interventions. First, I studied personality characteristics and derived a set of personas that can be used to design future interventions in the domain of online misinformation. Next, I studied clinical indicators of post-traumatic stress disorder on Reddit (/r/ptsd) and provide design implications that can be used to provide improved online experiences for individuals seeking mental health information, as well as novel clinical decision-making tools. In my last study I design, develop, and evaluate a computational intersectional identity framework (CIIF) for use with online communities to describe post authors in terms of their intersectional identity disclosures at scale. The CIIF provides a new intersectional term dictionary, identity detection approach, and a new methodology that can be used to continuously update it for use in intervention design research.

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