JOURNAL ARTICLE
Economics of Social Media Fake Accounts.
Published In: Management Science (INFORMS), 2025, v. 71, n. 10. P. 8865 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Huang, Zihong; Liu, De 3 of 3
Abstract
This article analyzes the problem of fake social media accounts within the influencer economy, where influencers may purchase fake followers to artificially boost their perceived popularity. Using a game-theoretical signaling model involving consumers, influencers (categorized as high- or low-quality), advertisers, and a social media platform, the study examines influencers' fake account purchasing behaviors, the platform's antifake efforts, and their effects on consumer welfare and platform profitability. It identifies three equilibrium regimes—pooling (low-quality influencers mimic high-quality ones by buying fake accounts), costly separating (high-quality influencers buy fake accounts defensively to prevent mimicry), and naturally separating (no fake accounts purchased)—and shows that increasing antifake efforts can paradoxically increase fake account prevalence before eventually reducing it. The research finds that purely profit-driven platforms prefer no antifake effort and pooling equilibria, while consumer-oriented platforms may invest in antifake measures but generally less than what consumers would prefer; additionally, improving antifake technology benefits both platforms and consumers, whereas raising social media literacy or fake account costs can have complex, sometimes counterintuitive effects. Extensions to multiple influencer types and repeated interactions suggest the robustness of these insights, which have implications for platform policies, regulatory approaches, and consumer protection strategies.
Additional Information
- Source:Management Science (INFORMS). 2025/10, Vol. 71, Issue 10, p8865
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2025
- ISSN:0025-1909
- DOI:10.1287/mnsc.2022.02616
- Accession Number:188352039
- Copyright Statement:Copyright of Management Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.