Call for Contributions:

Information on studies for a meta-analysis of deepfake vs. authentic video effects
Posted February 21, 2026 by Bumju Jung on the International Communication Association (ICA) Public Channel
https://link.icahdq.org/discussion/call-for-studies-for-a-meta-analysis-deepfakevs-authentic-video-effects

Hello ICA colleagues,

My name is Bumju Jung (@ U of Southern California). Dr. Lynn Miller and I are conducting a meta-analysis examining how deepfake, compared to authentic videos, shape credibility-related evaluations (e.g., perceived credibility, accuracy, authenticity, believability).

First – Are we missing your study?
If you have a study that matches the criteria below (published, in press, working paper, or unpublished), I would be grateful if you could contact me. This will help us ensure we don’t miss your work and that we can accurately include and cite it in our meta-analysis. Unpublished and null findings are especially valuable for reducing publication bias.

Second – If the paper/repository does not include complete statistics:
If you’re willing, it would be incredibly helpful to receive the minimum information needed to compute effect sizes, ideally:

• Sample size per condition (deepfake/synthetic vs. authentic; N per cell)
• Means and SDs for relevant outcomes (or equivalent statistics: t/F, SE, CI, etc.)

When you do not need to send anything:
If all necessary statistics are already available in the paper, appendix, OSF, or another repository, you don’t need to forward numbers-a link or citation is enough (so we don’t miss it).

High-level inclusion criteria:

• Experimental or quasi-experimental design
• Video stimuli: deepfake/AI synthesizedvs. authentic video comparison
• Measures: perceived credibility / accuracy / authenticity / believability (or closely related outcomes)

Please email me at bumjujun@usc.edu

Many thanks!

—
Bumju Jung (he/him/his)
Annenberg School for Communication and Journalism
U of Southern California
United States