Deepfake behaviours show gender patterns: males more likely to have shared deepfakes, females more likely to have reported them¶
Claim · All claims
Evidence · 1 study · associationalr2·q3
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person · recheck by 2031: baselines and conditions change
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Males were significantly more likely to have shared a deepfake (23.2% vs. 10.0%, OR=0.34, p=.010), while females were significantly more likely to have reported one (14.1% vs. 24.0%, OR=2.14, p=.046). → Jake Renzella 2026
q3 i? Males trended toward creating deepfakes (10.1% vs. 4.0%) or being the subject of one (12.1% vs. 6.0%), though not statistically significant. → Jake Renzella 2026
Evidence¶
Jake Renzella 2026¶
Jake Renzella, Christian Bergh, Natasha Banks, and Alexandra Vassar. (2026). Gender Differences in AI Literacy Workshop Outcomes and Deepfake Engagement. https://arxiv.org/abs/2606.14718 doi:10.48550/arxiv.2606.14718
q3 · i? · associational · r2
Pre-survey logistic regression (Table 2) controlling for year level and school on multi-select deepfake experience items. The article reports "OR=0.34" for sharing and "OR=2.14" for reporting; seen-deepfake rates were similar (71.7% vs. 74.0%).
"While males were significantly more likely to haveshareda deepfake (23.2% vs. 10.0%, OR=0.34,p=.010), females were significantly more likely to havereporteda deepfake (14.1% vs.24.0%, OR=2.14,p=.046)."
Discussion¶
Learner Variables¶
- Gender — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause
Related Claims¶
- Female students are significantly more likely than male students to use AI for schoolwork and to seek advice from AI tools — related
- Male secondary students report significantly higher STEM career interest than female students across AI, computer science, and engineering at baseline — related
- Both genders improve in recognising AI's role in entertainment platforms after the workshop, with females additionally gaining in identifying TikTok — related
- Both male and female students show statistically significant medium-sized gains in AI knowledge and confidence after a one-day AI literacy workshop — related
- Female students show broader post-workshop gains than males, including significant increases in AI and computer science career interest, while male career interest remains unchanged — related
- At-risk identification is demographically patterned, with Black, Hispanic, and male students more likely to be identified — related
- Males were significantly more likely than females to report probable ADHD in the young adult sample (OR=1.56) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
gender-patterns-deepfake-behaviours |
title |
Deepfake behaviours show gender patterns: males more likely to have shared deepfakes, females more likely to have reported them |
description |
Deepfake behaviours show gender patterns: males more likely to have shared deepfakes, females more likely to have reported them |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — jake-renzella-2026 |
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