14 million people heard a lie before science could respond

Real-time AI monitoring is the only way to stop misinformation from spreading faster than facts

In today’s fast-paced media landscape, misinformation spreads faster than ever—and few platforms rival the reach and influence of Joe Rogan’s podcast. When Joe Rogan falsely claimed the Earth was cooling, citing a misinterpreted scientific paper, millions heard misinformation before the study's author could publicly correct him (SOURCE).

This cycle repeats daily across digital platforms but Rogan's visibility makes him the symptom, not the disease. This instance is just one example among many where Rogan or his guests have shared misleading or false information, particularly on critical topics like climate change. 

When Rogan's 14.5 million Spotify listeners hear that 'global warming is a hoax,' it doesn't just spread misinformation. It mainly undermines decades of scientific consensus at the moment when climate action is most critical.

What’s an even greater concern lies in what misinformation goes unchecked on smaller platforms lacking active scrutiny.

Is he the only one doing this?

Rogan’s massive audience means his claims often gain immediate and widespread attention. But let’s remember that is one of many examples. 

Let’s put this into a wider perspective of what is common on social media right now:

  • 81 per cent of cancer cures touted by TikTok videos are fake (SOURCE). 
  • Researchers analysed 100 viral posts on each of three major platforms during recent extreme weather events, including the LA fires and Hurricanes Helene and Milton and found nearly 98% were factually incorrect (SOURCE).
  • TikTok users are exposed to false information about mainstream topics like the Ukraine War within 40 minutes of signing up to the app (SOURCE). 

While these instances notoriety invites fact-checking and correction, it also normalizes misinformation within public discourse until those corrections take effect. 

Contrast this with countless smaller channels and accounts on TikTok, X, and other social media platforms, where misinformation flourishes largely unchallenged because there is no large, engaged community to contest it. 

MIT research found false news spreads six times faster than true stories on X/Twitter. Users encounter it especially early in their engagement with these apps (SOURCE).

This raises alarms about the long-term impact on public understanding of vital issues like climate change, public health, and geopolitical conflicts.

Why does the situation call for change?

Social media companies have largely abandoned meaningful moderation, creating a vacuum that governments and responsible media organizations must fill to preserve truth and trust.

If left unchecked it can lead to devastating scenarios that will negatively impact society. Think of a scenario where a parent who delays vaccinating their child after hearing vaccine misinformation on a podcast, or the voter who believes climate action is unnecessary after consuming hours of denialist content.

These actions and mindset could result in irreversible damage both on a personal and societal level.

This problem is a tough one to solve however. Countering misinformation manually in real time across vast and dynamic content ecosystems is impossible without advanced technological support. That’s why real-time monitoring systems powered by AI are essential. 

These systems can detect emerging misinformation trends, flag suspicious content before it explodes, and empower fact-checkers and journalists with timely, actionable insights.

What is the best method to neutralize and counter this issue?

The future of credible journalism depends on newsrooms having real-time tools to identify emerging false narratives before they dominate social feeds.

Such tools must complement human judgment, preserving the human-in-the-loop to avoid overreach while scaling efforts to identify falsehoods rapidly.

Only through coordinated, technology-enabled vigilance can society hope to keep misinformation at bay, especially on critical issues like climate change where the stakes are existential.

The standard of neutralising misinformation will not be done by any individual or single platform alone. It requires collaborative commitment, rapid detection, and persistent verification efforts to safeguard facts and empower citizens, journalists, and policymakers alike.

Factiverse develops AI-powered monitoring tools to support this mission. Together, we can uphold the truth and ensure conversations that contain false or misleading information do not dominate the internet.

Source List

  1. The Guardian – Joe Rogan accused of spreading 'climate cooling' misinformation - Read more
  2. MIT News – Study: False news spreads more rapidly on Twitter than true stories - Read more
  3. CNN – TikTok’s role as a search engine raises concerns over misinformation - Read more
  4. NewsGuard – Misinformation Monitor: Key trends from March 2022 - Read more
  5. JMIR Infodemiology – Study on the spread and detection of health misinformation (2024) - Read more
  6. St George’s, University of London – TikTok’s fake cancer cures linked to radicalisation risks - Read more
  7. PreventionWeb – Meta, X, and YouTube accused of enabling false claims during catastrophic events- Read more
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Sean Jacob
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