Peers Emerge as Most Effective Online Fact-Checkers, Study Finds

A study by researchers from three major American universities has found that “crowdchecking” on social media platform X (formerly Twitter) is remarkably effective at combating misinformation, challenging initial skepticism about the platform’s community-based fact-checking system.

The research, published in the journal Information Systems Research, reveals that posts flagged with public correction notes through X’s Community Notes feature were 32 percent more likely to be deleted by their authors compared to posts with only private notes.

“Trying to define objectively what misinformation is and then removing that content is controversial and may even backfire,” explained co-author Huaxia Rui, the Xerox Professor of Information Systems and Technology at the University of Rochester’s Simon Business School. “In the long run, I think a better way for misleading posts to disappear is for the authors themselves to remove those posts.”

The study leveraged a causal inference method called regression discontinuity to analyze 264,600 posts on X that received community notes during two distinct time periods – before the 2024 U.S. presidential election (June-August) and two months after the election (January-February 2025). These periods were strategically chosen to capture dynamics during a time when misinformation typically surges and during a more normal period.

Community Notes operates through a threshold mechanism where corrective notes must earn a “helpfulness” score of at least 0.4 to appear publicly. The system uses a bridging algorithm that prioritizes ratings from users with diverse viewpoints to prevent partisan manipulation. Notes falling below this threshold remain hidden from the general public but visible to Community Notes contributors.

This design created a natural experiment, allowing researchers to compare posts with notes just above and below the visibility threshold, effectively measuring the causal impact of public exposure.

The results demonstrated that reputation concerns drive authors’ decisions to delete misleading content. “You worry that it’s going to hurt your online reputation if others find your information misleading,” Rui noted. Public notes highlighting factual inaccuracies signal to the audience that both the content and its author are untrustworthy.

The study also found that public notes not only increased deletion likelihood but accelerated the retraction process. Among posts that were eventually deleted, those with notes that appeared faster were removed sooner by their authors.

Users with verified status (indicated by a blue check mark) were particularly quick to delete flagged posts, suggesting heightened reputational concerns among those with larger followings or public profiles. This pattern indicates that social media’s inherent dynamics – status, visibility, and peer feedback – can be leveraged to improve information accuracy.

The researchers initially wondered if correction mechanisms might backfire, causing users to become defensive rather than receptive to feedback. “For people to be willing to retract, it’s like admitting their mistakes or wrongdoing, which is difficult for anyone, especially in today’s super polarized environment with all its echo chambers,” Rui said.

The findings come at a critical moment in the battle against online misinformation, as social media platforms face increasing pressure to address false content without resorting to censorship. Traditional approaches have relied on either platform-based moderation or third-party fact-checking organizations, both of which have limitations in scale and acceptance across political divides.

Crowdchecking offers a promising middle path that engages users themselves in improving information quality. The researchers conclude that this approach “strikes a balance between protecting First Amendment rights and the urgent need to curb misinformation” by relying on collective judgment rather than top-down censorship.

The research team, which included scholars from the University of Illinois Urbana-Champaign and the University of Virginia alongside the University of Rochester, suggests that community-based fact-checking could be a more sustainable solution to misinformation than content removal policies.

“Ultimately, the voluntary removal of misleading or false information is a more civic and possibly more sustainable way to resolve problems,” Rui concluded.

As social media platforms continue evolving their approaches to content moderation, this research suggests that empowering users to help each other identify misleading information might be more effective than previously thought – demonstrating that sometimes the best fact-checkers are our peers.