The geography of corporate fake news.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 30 10 2023
accepted: 08 03 2024
medline: 17 4 2024
pubmed: 17 4 2024
entrez: 17 4 2024
Statut: epublish

Résumé

Although a rich academic literature examines the use of fake news by foreign actors for political manipulation, there is limited research on potential foreign intervention in capital markets. To address this gap, we construct a comprehensive database of (negative) fake news regarding U.S. firms by scraping prominent fact-checking sites. We identify the accounts that spread the news on Twitter (now X) and use machine-learning techniques to infer the geographic locations of these fake news spreaders. Our analysis reveals that corporate fake news is more likely than corporate non-fake news to be spread by foreign accounts. At the country level, corporate fake news is more likely to originate from African and Middle Eastern countries and tends to increase during periods of high geopolitical tension. At the firm level, firms operating in uncertain information environments and strategic industries are more likely to be targeted by foreign accounts. Overall, our findings provide initial evidence of foreign-originating misinformation in capital markets and thus have important policy implications.

Identifiants

pubmed: 38630681
doi: 10.1371/journal.pone.0301364
pii: PONE-D-23-35668
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0301364

Informations de copyright

Copyright: © 2024 Darendeli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Alper Darendeli (A)

Nanyang Business School, Division of Accounting, Nanyang Technological University, Singapore, Singapore.

Aixin Sun (A)

School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.

Wee Peng Tay (WP)

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.

Classifications MeSH