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Follow Nudges without Budges: A Field Experiment on Misinformation Followers Didn't Change Follow Networks

Published: December 15, 2025 | arXiv ID: 2512.13643v1

By: Laura Kurek , Joshua Ashkinaze , Ceren Budak and more

Potential Business Impact:

Ads can't easily fix fake news online.

Business Areas:
Ad Retargeting Advertising

Can digital ads encourage users exposed to inaccurate information sources to follow accurate ones? We conduct a large-scale field experiment (N=28,582) on X, formerly Twitter, with users who follow accounts that spread health misinformation. Participants were exposed to four ad treatments varied on two dimensions: a neutral message versus a persuasive message appealing to values of independence, and a request to follow a health institution versus a request to follow a health influencer. We term this ad-based, social network intervention a follow nudge. The ad with a persuasive message to follow a well-known health institution generated significantly higher click-through rates than all other conditions (Bonferroni-corrected pairwise tests, all p<0.001). Given the overall low click-through rate across treatments and the high cost of digital advertising infrastructure on X, however, we conclude that our proposed intervention -- at least in its current ad-based format -- is not a cost-effective means to improve information environments online. We discuss challenges faced when conducting large-scale experiments on X following the platform's ownership change and subsequent restrictions on data access for research purposes.

Country of Origin
🇺🇸 United States

Page Count
10 pages

Category
Computer Science:
Social and Information Networks