The Claim
In a sample of 988 adults, the willingness to share AI-generated fake news does not differ significantly from the willingness to share human-generated fake news, despite differences in perceived accuracy, indicating that factors such as emotional arousal or social norms may be stronger predictors of sharing behavior than truth perception.
What the research says
Supports is higher
Support is ahead, but a single strong opposing study can change this.
These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.
In a group of 988 adults, people are equally likely to share fake news created by AI and fake news created by humans, even when they perceive one as more accurate than the other, suggesting that emotions or social pressures influence sharing more than whether something is true.
See the scientific wording
The willingness to share AI-generated and human-generated fake news does not differ significantly in a sample of 988 adults, despite differences in perceived accuracy, suggesting that other factors—such as emotional arousal or social norms—may drive sharing behavior more than truth perception.
When people see fake news, their brain reacts more to how exciting or emotionally charged the content feels, and whether it fits what others around them would share, rather than whether it seems true. This emotional and social response pushes them to share the content, even if they know it might not be real.
What the research says
1 studyStudy: Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News
People thought AI-made fake news was less believable, but they still shared it just as much as fake news written by humans — so it’s not about whether something seems true, but how exciting or social it feels.
Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies
Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.