Conspiracy theories rage online over coronavirus

Episode Summary

Executive Summary: This Tech Tent episode examines how coronavirus misinformation is spreading on social platforms, why it matters for public health, and how Facebook and YouTube are responding. It also covers canceled tech events, a hack of facial-recognition firm Clearview AI, Tesla automation concerns, Silicon Valley critics calling for antitrust action, and a behavioral-science approach to password security.

Main Topics: Coronavirus misinformation on social media: The hosts discuss conspiracy theories about COVID-19 circulating in Facebook groups and YouTube videos, and why false claims can alter behavior in dangerous ways. Platform responsibility and moderation: Facebook and YouTube describe their efforts to label, reduce, or remove harmful misinformation, but the segment questions whether these measures are sufficient. Tech event cancellations due to coronavirus: Major conferences including Facebook’s developer event and other global gatherings are being postponed or canceled amid the outbreak. Facial recognition, privacy, and hacking: Clearview AI is discussed after hackers reportedly accessed its client list, adding to concerns about its controversial data-scraping practices. Tesla Autopilot and automation complacency: A fatal Tesla crash investigation highlights distraction, system design limits, and the risks of overtrusting driver-assistance systems. Rethinking Silicon Valley economics: Cory Doctorow and Yancey Strickler argue that tech concentration and pure profit-maximization are no longer adequate models for regulation or innovation. Psychology of passwords and nudging: Dr. Jessica Barker explains how social proof, positive reinforcement, and behavioral nudges may be more effective than fear-based cybersecurity messaging.

Key Arguments: Misinformation during a fast-moving outbreak can directly increase risk by shaping unsafe public behavior. Social media has made the information environment around epidemics far more confusing than in previous outbreaks like SARS. Facebook and YouTube are taking steps against misinformation, but their current interventions appear incomplete and inconsistent. Data from the web can help detect outbreaks early if analysts can distinguish reliable information from misleading noise. Tech giants grew through classic monopoly tactics—acquisitions, consolidation, and anti-competitive conduct—rather than any special “tech exception.” The future of capitalism may involve using financial systems to optimize broader social and environmental values, not just profit. Fear-based cybersecurity messaging can backfire because people mimic what seems normal; positive examples and nudges are likely more effective. Automation systems can create complacency when users trust them too much, especially when product names imply more capability than actually exists.

Data Points: Public health example: Ebola epidemic in West Africa in 2016 - Used by Professor Paul Hunter to show how conspiracy beliefs reduce safe practices and increase infection risk. Facebook and YouTube outbreak: Coronavirus misinformation spread in early 2020 - Referenced as the first major outbreak of the social media era. Clearview AI image database: 3 billion images - The company was described as scraping images from Facebook, YouTube, and Twitter. Tesla crash year: March 2020 - The crash investigated by the U.S. National Transportation Safety Board. Driver age: 38-year-old - Walter Huang, the driver in the Tesla crash, was 38. Facebook user loss: 50 million 13-to-34-year-olds - Cory Doctorow cited this as the largest U.S. exodus of Facebook users in 2018. Capital in the world: $140-some trillion - Yancey Strickler used this figure to argue that global capital could be redirected toward bigger problems. Norovirus lead time: A few weeks earlier - Paul Hunter said Google data seemed to predict a norovirus epidemic weeks ahead of official surveillance. Conference timing: Facebook developer conference canceled months ahead of May - Illustrates the extent of coronavirus-driven event planning changes.

Pivotal Quotes: "It does indeed matter." — Professor Paul Hunter: Response to the idea that conspiracy theories are harmless talk in small online groups. "When industries become concentrated, they converge on lobbying positions." — Cory Doctorow: Explaining why concentrated tech markets make evidence-based regulation harder. "According to social proof, what we're actually doing is saying to people, there's all these terrible passwords out there, and people think, oh, okay, everyone else is using a terrible password." — Dr. Jessica Barker: Describing why negative security messaging can unintentionally normalize weak passwords.

Implications: Listeners are urged to treat online health claims cautiously, expect tougher scrutiny of tech platforms and automation, and consider behaviorally informed approaches to security and trust. The episode suggests big tech’s rules, incentives, and public messaging all need significant reform.