The Claim

In an online survey of 988 adults, AI-generated fake news is perceived as less accurate than human-generated fake news, but both are shared with equal willingness, indicating that perceived accuracy does not directly determine sharing behavior on social media.

Source: Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News

What the research says

Supports is higher

Support is ahead, but a single strong opposing study can change this.

Supports
44score
Challenges
0score

These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.

Correlation
1 study reviewed
In plain English

In a survey of 988 adults, people rated AI-generated fake news as less accurate than human-generated fake news, but they shared both types at the same rate, showing that perceived accuracy does not control whether people share fake news on social media.

See the scientific wording

AI-generated fake news is perceived as less accurate than human-generated fake news, yet both are shared with equal willingness by adults in an online survey of 988 participants, suggesting that perceived accuracy does not directly determine sharing behavior on social media.

Why this might work

When people see something that looks false, their brain recognizes it as unreliable, but this recognition does not stop them from passing it on because sharing is driven by emotional or social cues, not by how true something seems.

Suggested mechanismbased on 1 study

What the research says

1 study
  1. Study: Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News

    People thought AI-made fake news was less believable, but they were just as likely to share it as human-made fake news — meaning just because something seems fake doesn’t stop people from passing it along.

Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies

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