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TRUVACE RECORD VERSION
record: TRV-2026-0109
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-07-13T05:22:43.999763Z
status: published
lens: trace
sector: education
headline: Party Equalization or Normalization Through Visual Generative AI in the 2025 German Federal Election
dek: This study examines whether visual generative artificial intelligence (VGenAI) serves as an equalizing force for minor parties or reinforces existing power asymmetries in political communication. Drawing on equalization and normalization theory, we investigate party differences in VGenAI adoption, content strategies, and user engagement during the 2025 German federal election. Using a semi-automated AI detection method combining automated classification with manual validation, we analyzed Facebook and Instagram…
gain_title: Minor parties adopted visual generative AI at higher rates than major parties during the 2025 German federal election, gaining broader access to professional campaign visual production.
problem_title: VGenAI content did not provide resource-constrained minor parties with competitive engagement benefits, leaving engagement asymmetries between major and minor parties intact.
trace_subject: VGenAI use by German parties in 2025 federal election and its effect on competitive benefits and engagement asymmetries
gain_reading: Minor parties adopted visual generative AI at higher rates than major parties during the 2025 German federal election, gaining broader access to professional campaign visual production.
gain_evidence: minor parties used VGenAI at higher rates than major parties | broader access to professional visual production
problem_reading: VGenAI content did not provide resource-constrained minor parties with competitive engagement benefits, leaving engagement asymmetries between major and minor parties intact.
problem_evidence: leaving engagement asymmetries intact | this advantage accrues equally to major and minor parties rather than providing resource-constrained actors with competitive benefits | transparency divide, with mainstream major parties disclosing AI origins more frequently than minor parties
quick_read: During the four weeks before the 2025 German federal election, 37 parties' Facebook and Instagram accounts published nearly 1,000 VGenAI images and videos. Minor parties used VGenAI at higher rates than major parties, consistent with lower-cost access to professional visuals, while mainstream major parties disclosed AI origins more frequently than minor parties and the AfD, which used more photorealistic, citizen, criminal, and negative-tone imagery.

VGenAI posts were associated with higher user engagement than non-AI posts, but that advantage accrued equally to major and minor parties rather than providing resource-constrained actors with competitive benefits, leaving engagement asymmetries intact. This suggests equalization in production access alongside normalization in audience attention.
limitation: Engagement advantage of VGenAI content accrued equally to major and minor parties, so findings do not show a measured reduction in engagement inequality
tag: Automated dual reading
key_points: Analysis covered Facebook and Instagram posts from 37 German parties during the four weeks preceding election day | Researchers identified nearly 1,000 VGenAI images and videos published by approximately 400 party accounts using semi-automated detection with manual validation | Mainstream major parties disclosed AI origins more frequently than minor parties or the AfD, indicating a transparency divide | The AfD was the only major party to make extensive use of photorealistic imagery, citizen depictions, criminal portrayals, and negative tone
rundown: Researchers analyzed Facebook and Instagram posts from 37 German parties in the four weeks before the 2025 federal election, using semi-automated AI detection with manual validation to identify nearly 1,000 VGenAI images and videos from about 400 accounts. They compared adoption rates, content strategies including disclosure and depiction choices, and user engagement between major and minor parties.

The study matters because it tests whether low-cost visual generative AI equalizes campaign capacity or normalizes existing power structures. It finds broader access to professional visuals for minor parties but no competitive engagement gain, and a transparency divide in disclosure, with the AfD's distinct use of photorealistic and negative imagery. Uncertainty remains about causal effects on votes, longer-term platform effects, and generalizability beyond this election and platforms.
sources:
- peer_reviewed | Media and Communication | https://doi.org/10.17645/mac.11859 | 2026-07-02
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