Abstract
Deepfakes dominate discussions about manipulated videos, but other forms of visual disinformation are more prevalent and less understood. Moreover, deception is often assessed through measuring credibility, overlooking cognitive effects like misperceptions and attitude changes. To address these gaps, an online experiment (N = 802) examined visual disinformation’s effects on credibility, misperceptions, and perceptions of a politician. The study compared a deepfake (machine learning manipulation), a cheapfake (rudimentary manipulation), and a decontextualized video (false context), all portraying the same politician and false message. Despite low in credibility, the deepfake and cheapfake caused a misperception, with the deepfake harming perceptions of the politician.
| Original language | English |
|---|---|
| Pages (from-to) | 1020 - 1043 |
| Journal | Journalism & Mass Communication Quarterly |
| Volume | 102 |
| Issue number | 4 |
| Early online date | 30 Nov 2025 |
| Publication status | Published - Dec 2025 |
Austrian Fields of Science 2012
- 508020 Political communication
- 508012 Media impact studies
Keywords
- Deepfakes
- visual disinformation
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