IA generativa em campanhas eleitorais: mapeamento de padrões globais

The report finds that GenAI was present in 80% of competitive national elections in 2024, primarily used for creating synthetic content like deepfakes. While some beneficial uses for civic outreach were noted, 69% of incidents were categorized as harmful. A significant portion of GenAI content (46%) remains unattributable to a known source, complicating electoral governance and transparency.

• Generative AI was present in the vast majority of competitive national elections in 2024, with 80% of the 50 analyzed countries experiencing GenAI use during campaign periods. The highest volume of incidents occurred in India and the United States, with 30 incidents recorded in each.
• The primary application of GenAI in elections is content creation, accounting for 90% of recorded incidents. This includes the production of synthetic audio, images, videos, and social media posts, often used to impersonate public figures or manipulate narratives.
• Attributing the source of GenAI content is a major challenge, as 46% of incidents have no known source. Among identified sources, candidates and political parties accounted for 25%, while foreign actors were responsible for 20%.
• Most GenAI applications in elections are detrimental, with 69% of incidents categorized as harmful. Notably, 100% of GenAI use attributed to foreign agents served harmful purposes, such as interfering in electoral processes.
• There are limited but documented beneficial uses of GenAI, particularly by national candidates and parties, where 38% of their uses were categorized as beneficial. Examples include using chatbots in Japan to engage voters and using GenAI for civic outreach and accessibility (16% of incidents).
• The report highlights specific high-impact cases, such as in Romania, where coordinated GenAI use contributed to the annulment of presidential election results, and in Bangladesh, where a synthetic video falsely announced a candidate's withdrawal.

APA

International Panel on the Information Environment (2025). IA generativa em campanhas eleitorais: mapeamento de padrões globais. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cbc67ee8b8ecfd81f08_Final%20PTB%20Elections%20SFP.pdf

Chicago

International Panel on the Information Environment. IA generativa em campanhas eleitorais: mapeamento de padrões globais. 2025. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cbc67ee8b8ecfd81f08_Final%20PTB%20Elections%20SFP.pdf.

Wikipedia

{{cite report |author=International Panel on the Information Environment |title=IA generativa em campanhas eleitorais: mapeamento de padrões globais |date=2025 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cbc67ee8b8ecfd81f08_Final%20PTB%20Elections%20SFP.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{internationalpanelontheinformationenvironment2025generativa, author = {{International Panel on the Information Environment}}, title = {{IA generativa em campanhas eleitorais: mapeamento de padrões globais}}, institution = {International Panel on the Information Environment}, year = {2025}, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cbc67ee8b8ecfd81f08_Final%20PTB%20Elections%20SFP.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }