'When people gather in groups, bizarre behaviors often emerge': How the rise of online social networks has catapulted dysfunctional thinking

The pervasive spread of misinformation can be tracked to cognitive limitations, social influence and the global spread of online networks. Combatting it has become an "arms race" between truth and lies.

a 5g cell tower with green waves coming out
During the COVID-19 pandemic, people started attacking 4G and 5G over the false belief radio-frequency emissions was causing the disease.
(Image credit: Busà Photography/Getty Images)

When the COVID-19 pandemic broke out, a bizarre conspiracy theory swept through global social media: that the disease was caused by radio-frequency emissions from 5G cell phone towers. The wild theories spread across social media platforms. The belief in this conspiracy was so fervent that the media reported more than 100 incidents of arson and vandalism against 5G (and 4G) infrastructure, as well as numerous instances of abusive or threatening behavior against telecommunications workers.

Why do bizarre events like this happen? In our recent review article, published May 19 in the journal Frontiers in Communication, we showed that conspiracy theories and other widespread incorrect beliefs emerge from complex interactions involving people's cognitive limitations, social influence in groups, and the global-scale spread of ideas across social networks.

Author bio image
Fatima Seeme

Fatima Seeme is an academic in the Data Science and AI Department, Faculty of Information Technology, at Monash University in Melbourne, Australia. She completed her PhD at Monash University in 2021, specializing in agent-based modeling of social dilemmas. Her doctoral research explored how individuals conform to group norms that differ from their personal beliefs, investigating the emergence and spread of pluralistic ignorance through computational models. Her interdisciplinary work bridges computer science, social psychology, and behavioral modeling.

Author bio image
David Green

David Green is Adjunct Professor of Computer Science at Monash University. During a long career, his research has contributed many insights about the nature of complexity, including the role of network phase changes in criticality. He has also applied insights about complex networks to real-world systems, including ecology, proteins, geographic information, computer science, and social networks. His books include: Of Ants and MenThe Serendipity Machine, Dual Phase Evolution, and Complexity in Landscape Ecology.

Carlo Kopp is an academic in the Cybersecurity Group, Faculty of Information Technology, at Monash University in Melbourne, Australia. He received his PhD and MSc degrees in computer science from Monash University. His prior experience spans computer industry appointments as a hardware designer and code developer, appointments in military analysis and strategic studies think tanks, and academic research spanning multiple areas, with well over 500 publications. He is best known as one of the first generation of Information Warfare researchers, for his work on infrastructure vulnerability to electromagnetic threats, and the co-discovery of the Borden-Kopp information-theoretic model of deception.

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