The geography of corporate fake news

• Published in: PloS one 2024-04, Vol.19 (4), p.e0301364-e0301364
• Main Authors: Darendeli, Alper, Sun, Aixin, Tay, Wee Peng
• Format: Article
• Language: English
• Subjects: Actors; Actresses; Biology and Life Sciences; Capital market; Computer and Information Sciences; Deception; Disinformation; Earth Sciences; Geopolitics; International aspects; Machine learning; People and Places; Political aspects; Social aspects; Social media; Social networks; Social Sciences
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0301364

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.