Conceptualizing Visual Analytic Interventions for Content Moderation

Sahaj Vaidya, Jie Cai, Soumyadeep Basu, Azadeh Naderi, Donghee Yvette Wohn, Aritra Dasgupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


Modern social media platforms like Twitch, YouTube, etc., embody an open space for content creation and consumption. However, an unintended consequence of such content democratization is the proliferation of toxicity and abuse that content creators get subjected to. Commercial and volunteer content moderators play an indispensable role in identifying bad actors and minimizing the scale and degree of harmful content. Moderation tasks are often laborious, complex, and even if semi-automated, they involve high-consequence human decisions that affect the safety and popular perception of the platforms. In this paper, through an interdisciplinary collaboration among researchers from social science, human-computer interaction, and visualization, we present a systematic understanding of how visual analytics can help in human-in-the-loop content moderation. We contribute a characterization of the data-driven problems and needs for proactive moderation and present a mapping between the needs and visual analytic tasks through a task abstraction framework. We discuss how the task abstraction framework can be used for transparent moderation, design interventions for moderators' well-being, and ultimately, for creating futuristic human-machine interfaces for data-driven content moderation.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE Visualization Conference - Short Papers, VIS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781665433358
StatePublished - 2021
Externally publishedYes
Event2021 IEEE Visualization Conference, VIS 2021 - Virtual, Online, United States
Duration: Oct 24 2021Oct 29 2021

Publication series

NameProceedings - 2021 IEEE Visualization Conference - Short Papers, VIS 2021


Conference2021 IEEE Visualization Conference, VIS 2021
Country/TerritoryUnited States
CityVirtual, Online

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Media Technology
  • Modeling and Simulation


  • Content Moderation
  • Real-time Decision-Making
  • Social Media
  • Task Abstractions


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