Telling Fact From Fiction With Online Misinformation
- 听, research professor in the , provides some tips to think about before sharing information on social media.
- Know the warning signs of false information. Emotional manipulation, lack of credible sourcing and urgency tactics like “share now” or “they’re hiding this” are the clearest red flags. Strong fear or anger-inducing language is often a deliberate attempt to bypass critical thinking.
- Verify before you trust or share. Check claims by searching independently, checking established news sources, tracing content to its origin and using reverse-image tools to confirm images aren’t recycled or taken out of context.
- Critical thinking matters more than ever. Generative AI enables polished, scalable fake content鈥攑hotorealistic images, cloned voices, convincing video鈥攁t low cost. Since there’s often little visible to “catch,” the responsibility shifts to the consumer: think critically before sharing, because sharing is a personal endorsement.
It can be hard to discern misinformation from truth, especially on social media. The platforms are designed for speed and emotion鈥攚here users are scrolling fast, reacting quickly and the algorithms reward content that triggers strong feelings. Misinformation is often engineered to exploit that dynamic and false information is quickly shared.
Jason Davis, research professor in the Newhouse School of Public Communication,听 specializes in the detection of disinformation and misinformation in the media. In this Q&A, Davis shares some advice on how to discover fact from fiction when it comes to misinformation on social media.
From a research perspective, the clearest signals are emotional manipulation, lack of credible sourcing and claims that appear nowhere else in reputable reporting. Posts that demand urgency like 鈥渟hare now,鈥 or those that suggest unconfirmable information like 鈥渢hey鈥檙e hiding this鈥 often aim to bypass critical thinking rather than inform. These tactics combined with strong emotional language designed to make you feel fear or anger are common indicators that something isn鈥檛 right.
The fastest method is triangulation: search the claim independently, check whether established news organizations or official agencies confirm it, and trace the content back to its original source. A quick reverse-image search using tools like TinEye or Google Lens can also reveal whether visuals are recycled or taken out of context.
I advise students and the public to ask three questions: Who produced this? What evidence supports it? Where else is it reported? Reliable journalism shows sourcing, context and accountability; misinformation tends to rely on assertion, anonymity or selective facts.
Visuals are powerful because they trigger emotion and credibility simultaneously. Even when inaccurate, an image or short clip can feel like 鈥減roof.鈥 Cropping, editing or reusing old footage can dramatically change meaning without viewers noticing and entirely synthetic images can be generated to support absolutely any narrative in real time.
We鈥檙e seeing recurring waves of health misinformation, politically charged narratives, AI-generated imagery tied to current events, and scams posing as breaking news or charitable appeals. Much of it is designed for engagement rather than persuasion alone but there is still a continuous stream of malicious disinformation being created with the intent to do real societal damage and not just to monetize clicks and likes.
Over the last couple of years, we have seen this become particularly prevalent around natural disasters like the wildfires in California or weather events like approaching hurricanes.听 The underlying truth of these events make it easy to fabricate and manipulate specific details to support alternative malicious agendas.
The shift is from amateur manipulation to highly polished, scalable production. Generative AI enables the creation of high-quality photorealistic images, compelling text, cloned voices and convincing video at low cost, making misinformation faster to produce and harder to detect.
The challenge isn鈥檛 just about spotting fakes, the AI tools are so good now that there just isn鈥檛 much to catch. To break the misinformation amplification cycle, media consumers need to look a little deeper and apply critical thinking before they decide to pass something on. Remember you are putting your personal stamp of approval on content when you share it with your trusted friend groups.
