{"query_echo":{"q":"","filters":{"analysis_type":["global trend mapping"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'global trend mapping' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=global+trend+mapping","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"ipie-000085","url":"https://climateinsightsdirectory.org/document/ipie-000085","title":"Генеративный ИИ в избирательных кампаниях: составление карты глобальных закономерностей","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ru","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c994389c3a190966c3b_Final%20RU%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 incidents of GenAI use in 2024 elections across 50 countries, finding that 80% of these countries experienced GenAI-related incidents. The vast majority of use (90%) focused on content creation, and 69% of incidents were classified as harmful. A significant portion of GenAI content (46%) remains unattributed, while 20% is linked to foreign actors, all of whom were found to have harmful intentions. The document advocates for mandatory disclosure and transparency standards to protect electoral processes.","ai_generated":true,"unit":"ipie-000085#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was present in the vast majority of competitive national elections in 2024, with 80% of the 50 studied countries recording incidents. The highest volume of incidents occurred in India and the United States, with 30 incidents each.","ai_generated":true,"unit":"ipie-000085#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is the production of synthetic content, accounting for 90% of recorded incidents. This includes the creation of audio messages, images, videos, and social media posts, often used to fabricate statements or impersonate figures.","ai_generated":true,"unit":"ipie-000085#insight-2","date_modified":"2026-10-23"},{"text":"Attribution of GenAI content is frequently impossible, with 46% of incidents having an unknown source. Among known sources, political candidates and parties were responsible for 25%, while foreign actors accounted for 20%.","ai_generated":true,"unit":"ipie-000085#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in the studied elections were harmful, with 69% of incidents classified as having a negative role. Notably, 100% of GenAI use attributed to foreign actors was intended to be harmful.","ai_generated":true,"unit":"ipie-000085#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively by some political parties (38% of their cases were 'useful'), such as using chatbots in Japan to engage voters or creating content in local dialects to reach underserved populations.","ai_generated":true,"unit":"ipie-000085#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific high-impact cases, such as in Romania, where coordinated GenAI and information campaigns contributed to the annulment of presidential election results.","ai_generated":true,"unit":"ipie-000085#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["incident analysis","global trend mapping","policy recommendation"]}]}