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About this paper
Mohit Singhal, Chen Ling, Pujan Paudel, Poojitha Thota, Nihal Kumarswamy, Gianluca Stringhini, Shirin Nilizadeh
Researchers from The University of Texas at Arlington and Boston University provide a comprehensive synthesis of content moderation in social media, systematically mapping academic research against the real-world practices of diverse platforms. The work identifies significant discrepancies and critical research gaps between theoretical understanding and operational challenges, offering insights for improved moderation strategies.
Key insights
- Content moderation is an interdisciplinary field, yet significant gaps exist in research, particularly regarding dataset quality, fairness, and generalizable multi-modal detection.
- Mainstream and fringe social media platforms exhibit vastly different approaches to content moderation, especially for "gray area" content like hate speech and misinformation.
- User understanding of moderation decisions is often low, contributing to perceptions of bias and frustration, highlighting a need for more transparent and comprehensible guidelines.
Summary by alphaXiv.
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