Community Moderation and the New Epistemology of Fact Checking on Social Media
Journal:
arXiv
Published Date:
May 26, 2025
Abstract
Social media platforms have traditionally relied on internal moderation teams
and partnerships with independent fact-checking organizations to identify and
flag misleading content. Recently, however, platforms including X (formerly
Twitter) and Meta have shifted towards community-driven content moderation by
launching their own versions of crowd-sourced fact-checking -- Community Notes.
If effectively scaled and governed, such crowd-checking initiatives have the
potential to combat misinformation with increased scale and speed as
successfully as community-driven efforts once did with spam. Nevertheless,
general content moderation, especially for misinformation, is inherently more
complex. Public perceptions of truth are often shaped by personal biases,
political leanings, and cultural contexts, complicating consensus on what
constitutes misleading content. This suggests that community efforts, while
valuable, cannot replace the indispensable role of professional fact-checkers.
Here we systemically examine the current approaches to misinformation detection
across major platforms, explore the emerging role of community-driven
moderation, and critically evaluate both the promises and challenges of
crowd-checking at scale.
