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 ↩︎
Best Paper Honorable Mention Award Shagun Jhaver, Christian Boylston, Diyi Yang, and Amy Bruckman, “Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter,” Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 381 (October 2021), 30 pages, DOI:
10.1145/3479525Deplatforming disrupts / ideas and support for / offensive influencers.
Best Paper Honorable Mention Award Manoel Horta Ribeiro, Shagun Jhaver, Savvas Zannettou, Jeremy Blackburn, Gianluca Stringhini, Emiliano De Cristofaro, and Robert West, “Do Platform Migrations Harm the Effectiveness of Content Moderation? Evidence from r/The_Donald and r/Incels,” Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 316 (October 2021), 24 pages, DOI:
10.1145/3476057Moderation reduces activity / but at the expense of / radicalizing migrated users.
Shagun Jhaver*, Eshwar Chandrasekharan*, Amy Bruckman, and Eric Gilbert (2021), “Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Reddit,” (* co-primary) Accepted at ACM Transactions on Computer-Human Interaction (TOCHI) , DOI:
10.1145/3490499Design friction— / Quarantining communities / reduces new user influx.
Best Paper Award Shagun Jhaver, Amy Bruckman, and Eric Gilbert, “Does Transparency in Moderation Really Matter?: User Behavior After Content Removal Explanations on Reddit,” Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 150 (November 2019), 27 pages. DOI:
10.1145/3359252Transparency / Removal explanations / improve user behaviors.
Best Paper Honorable Mention Award Shagun Jhaver, Darren Scott Appling, Eric Gilbert, and Amy Bruckman, ““Did You Suspect the Post Would be Removed?”: Understanding User Reactions to Content Removals on Reddit,” Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 192 (November 2019), 33 pages. DOI:
10.1145/3359294Moderation fairness / Educational approach / Community guidelines.
Shagun Jhaver, Iris Birman, Eric Gilbert, and Amy Bruckman (2019), “Human-Machine Collaboration for Content Regulation: The Case of Reddit Automoderator,” ACM Trans. Comput.-Hum. Interact. (TOCHI) 26, 5, Article 31 (September 2019), 35 pages. DOI:
10.1145/3338243Sociotechnical process / Automod role / Control versus effort tradeoff.
Maya Holikatti, Shagun Jhaver, and Neha Kumar, “Learning to Airbnb by Engaging in Online Communities of Practice” Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 228 (November 2019), 19 pages. DOI:
10.1145/3359330How hosts learn / Novice-to-expert / LPP.
Shagun Jhaver, Justin Cranshaw, and Scott Counts, “Measuring Professional Skill Development in U.S. Cities Using Internet Search Queries,” Proceedings of the International AAAI Conference on Web and Social Media, 13 (01):267-77.Online skill development / increases disparities / across 400 US cities.
Featured in Editor's Spotlight Shagun Jhaver, Sucheta Ghoshal, Eric Gilbert, and Amy Bruckman (2018), “Online Harassment and Content Moderation: The Case of Blocklists,” ACM Trans. Comput.-Hum. Interact. (TOCHI) 25, 2, Article 12 (March 2018), 33 pages. DOI:
10.1145/3185593Harassment tactics / Who is vulnerable? / Algorithmic solutions.
Shagun Jhaver, Yoni Karpfen, and Judd Antin (2018), “Algorithmic Anxiety and Coping Strategies of Airbnb Hosts,” In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ‘18). Association for Computing Machinery, New York, NY, USA, Paper 421, 1–12. DOI:
10.1145/3173574.3173995Double negotiation / Anxiety and uncertainty / Coping strategies.
Shagun Jhaver, Larry Chan, and Amy Bruckman (2018), “The view from the other side: The border between controversial speech and harassment on Kotaku in Action,” First Monday, DOI:
10.5210/fm.v23i2.8232Theorizing controversial speech / GamerGate / Understanding harassment.
Eshwar Chandrasekharan, Mattia Samory, Shagun Jhaver, Hunter Charvat, Amy Bruckman, Cliff Lampe, Jacob Eisenstein, and Eric Gilbert, “The Internet’s Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales,” Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 32 (November 2018), 25 pages. DOI:
10.1145/3274301What Reddit values / Normative guidelines / Automated moderation
Best Paper Award Munmun De Choudhury, Shagun Jhaver, Benjamin Sugar, and Ingmar Weber, “Social Media Participation in an Activist Movement for Racial Equality,” In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM 2016) (Acceptance rate: 17%).Black Lives Matter / Twitter predicts protests / Social movements.
Shagun Jhaver, Latifur Khan, and Bhavani Thuraisingham (2014), “Calculating Edit Distance for Large Sets of String Pairs using MapReduce,” In Proceedings of the ASE International Conference on Big Data.Levenshtein distance / Dynamic programming / MapReduce.
Working papers ↩︎
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:
Workshop papers ↩︎
Charles Kiene, Shagun Jhaver, Eshwar Chandrasekharan, Bryan Dosono, Brianna Dym, Sarah Gilbert, Aaron Jiang, Kat Lo, Joseph Seering, Kenny Shores, and Donghee Yvette Wohn (2019), “Volunteer Work: Mapping the Future of Moderation Research,” In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing (CSCW ‘19). Association for Computing Machinery, New York, NY, USA, 492–497. DOI:
Shagun Jhaver (2019) “Leveraging Focus Theory of Normative Conduct to Shape User Behavior," Managing and Designing for Norms in Online Communities Workshop. In Proceedings of the 13th International AAAI Conference on Web and Social Media (ICWSM 2019)
Shagun Jhaver (2018) “Designing ‘Understanding Mechanisms’ to Fight Online Harassment," In Proceedings of the 35th Annual ACM Conference on Human Factors in Computing Systems (CHI 2018)
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.