*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Title: Identifying Opportunities to Improve Content Moderation
Shagun Jhaver
Ph.D. Candidate in Computer Science
School of Interactive Computing
College of Computing
Georgia Institute of Technology
Date: Wednesday, March 4th, 2020
Time: 2:00 pm – 5:00 pm (EST)
Location: GVU café (TSRB)
Committee:
Dr. Amy Bruckman (Advisor, School of Interactive Computing, Georgia Tech)
Dr. Eric Gilbert (Advisor, School of Interactive Computing, Georgia Tech; School of Information, University of Michigan)
Dr. Neha Kumar (School of Interactive Computing, Georgia Tech)
Dr. W. Keith Edwards (School of Interactive Computing, Georgia Tech)
Dr. Scott Counts (Microsoft Research)
--------------------------------------------------------------------------------------------------------------------------------
Abstract:
This thesis contributes a nuanced understanding of the challenges inherent in the design and implementation of fair and efficient content moderation systems. Using large-scale data analyses, participant observations, survey data and in-depth qualitative interviews, this research describes the perspectives and practices of different stakeholders - users who suffer online harassment, individuals whose posts get removed, people who rely on blocking tools to censor others, and community managers who volunteer time to regulate content. This work provides theoretical and practical guidelines for moderating against online harassment without impinging on free speech, for designing solutions that incorporate the needs of different user groups, and for adopting automated moderation tools that provide explanations of their decisions and that remain sensitive to localized contexts.
