The Roll-Out of Community Notes Did Not Reduce Engagement With Misinformation on Twitter

07/16/2023
by   Yuwei Chuai, et al.
0

Developing interventions that successfully reduce engagement with misinformation on social media is challenging. One intervention that has recently gained great attention is Twitter's Community Notes (previously known as "Birdwatch"). Community Notes is a crowdsourced fact-checking approach that allows users to write textual notes to inform others about potentially misleading posts on Twitter. Yet, empirical evidence regarding its effectiveness in reducing engagement with misinformation on social media is missing. In this paper, we perform a large-scale empirical study to analyze whether the introduction of the Community Notes feature and its roll-out to users in the U. S. and around the world have reduced engagement with misinformation on Twitter in terms of retweet volume and likes. We employ Difference-in-Difference (DiD) models and Regression Discontinuity Design (RDD) to analyze a comprehensive dataset consisting of all fact-checking notes and corresponding source tweets since the launch of Community Notes in early 2021. Although we observe a significant increase in the volume of fact-checks carried out via Community Notes, particularly for tweets from verified users with many followers, we find no evidence that the introduction of Community Notes significantly reduced engagement with misleading tweets on Twitter. Rather, our findings suggest that Community Notes might be too slow to effectively reduce engagement with misinformation in the early (and most viral) stage of diffusion. Our work emphasizes the importance of evaluating fact-checking interventions in the field and offers important implications to enhance crowdsourced fact-checking strategies on social media.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/15/2021

Community-Based Fact-Checking on Twitter's Birdwatch Platform

Misinformation undermines the credibility of social media and poses sign...
research
08/10/2019

Human-Computer Insurrection: Notes on an Anarchist HCI

The HCI community has worked to expand and improve our consideration of ...
research
01/18/2021

"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twitter

Over the past few years, there is a heated debate and serious public con...
research
07/21/2023

Friction Interventions to Curb the Spread of Misinformation on Social Media

Social media has enabled the spread of information at unprecedented spee...
research
05/17/2023

Predicting Tweet Engagement with Graph Neural Networks

Social Networks represent one of the most important online sources to sh...
research
04/01/2021

Choice-Aware User Engagement Modeling andOptimization on Social Media

We address the problem of maximizing user engagement with content (in th...
research
11/17/2022

Did They Really Tweet That? Querying Fact-Checking Sites and Politwoops to Determine Tweet Misattribution

Screenshots of social media posts have become common place on social med...

Please sign up or login with your details

Forgot password? Click here to reset