My research builds a foundation for designing fair and efficient content moderation systems. I have contributed in-depth descriptions of how moderation systems on Twitter, Reddit and YouTube are constituted and how they affect platform owners, content moderators, and end-users. My recent projects emphasize the following themes:

  • Building systems to counteract hate speech and empower content creators
  • Characterizing the landscape of multi-level governance structures in online social platforms, drawing from taxonomies of offline institutions, including administrative hierarchy, federalism and polycentricity
  • Developing evidence-backed solutions for platforms to incorporate fairness and transparency in their communications with end-users
  • Contributing new computational frameworks to evaluate the effectiveness of moderation strategies on social media sites
  • Deriving empirical insights on the use of blocking tools and restorative justice practices to address online harassment

Check out my Medium Blog for summaries of my published work.

Please find below my published dissertation research and other papers.

Peer reviewed articles ↩︎

Working papers ↩︎

  • Shagun Jhaver, Seth Frey, and Amy Zhang (2021), “Designing for Multiple Centers of Power: A Taxonomy of Multi-level Governance in Online Social Platforms,” arXiv preprint arXiv:2108.12529 (2021).

    Horizontal and vertical / levels of governance / on online platforms.

Technical reports ↩︎

  • Shagun Jhaver, Pranil Vora and Amy Bruckman (2017) “Designing for Civil Conversations: Lessons Learned from ChangeMyView,” GVU Technical Report.

  • Shagun Jhaver*, Larry Chan*, and Sandeep Soni* (2017) “PostScholar: Surfacing Social Signals in Google Scholar Search,” (* co-primary). In Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW ‘16 Companion). Association for Computing Machinery, New York, NY, USA, 17–20. DOI: 10.1145/2818052.2874314

Workshop papers ↩︎

Theses ↩︎

  • Shagun Jhaver, (2020) “Identifying Opportunities to Improve Content Moderation,” PhD Thesis, Georgia Institute of Technology.

  • Shagun Jhaver, (2014) “Large Scale Data Mining with Applications in Social Computing,” Masters Thesis, The University of Texas at Dallas.