{"query_echo":{"q":"","filters":{"analysis_type":["cross-case comparison"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'cross-case comparison' 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=cross-case+comparison","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-000025","url":"https://climateinsightsdirectory.org/document/ipie-000025","title":"The Role of Generative AI Use in 2024 Elections Worldwide","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"research paper","language":"en","date_published":"2025","source_url":"https://www.ipie.info/research/tp2025-2","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The IPIE analyzed GenAI usage across 50 countries with competitive national elections in 2024. Findings show that GenAI was reported in 80% of these countries, primarily for content creation (90% of cases). While 69% of instances served malicious ends, 16% were benevolent. The study highlights a significant challenge in actor identification, with 46% of cases remaining unclear, and notes that foreign actors were involved in 20% of reported incidents, all for nefarious purposes.","ai_generated":true,"unit":"ipie-000025#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"GenAI was utilized in national elections in 80% of the 50 competitive countries tracked in the IPIE database. The countries with the highest number of recorded instances were India and the USA, with 30 occurrences each.","ai_generated":true,"unit":"ipie-000025#insight-1","date_modified":"2026-10-23"},{"text":"Content creation—including audio, images, videos, and text—was the dominant application of GenAI, accounting for 90% of all recorded usage in 2024 elections worldwide.","ai_generated":true,"unit":"ipie-000025#insight-2","date_modified":"2026-10-23"},{"text":"The majority of GenAI applications in elections were malicious, with 69% serving apparently nefarious ends, while 16% were used for benevolent purposes.","ai_generated":true,"unit":"ipie-000025#insight-3","date_modified":"2026-10-23"},{"text":"Identifying the actors behind GenAI usage is difficult; in 46% of the recorded incidents, the identity of the actor remained unclear.","ai_generated":true,"unit":"ipie-000025#insight-4","date_modified":"2026-10-23"},{"text":"Foreign actors were involved in 20% of reported incidents, and all such instances of foreign interference were conducted for nefarious purposes.","ai_generated":true,"unit":"ipie-000025#insight-5","date_modified":"2026-10-23"},{"text":"Hypertargeting—the use of GenAI to direct specific content to particular demographics to tilt political preferences—was the least common application, appearing in only 4% of recorded instances.","ai_generated":true,"unit":"ipie-000025#insight-6","date_modified":"2026-10-23"},{"text":"Political parties and candidates were responsible for 25% of the recorded GenAI usage, with 38% of their applications deemed benevolent.","ai_generated":true,"unit":"ipie-000025#insight-7","date_modified":"2026-10-23"},{"text":"The 'liar's dividend' is a significant risk, where the prevalence of deepfakes allows politicians to dismiss authentic content as being AI-generated.","ai_generated":true,"unit":"ipie-000025#insight-8","date_modified":"2026-10-23"},{"text":"In Romania, a sophisticated and coordinated GenAI campaign was perceived to have significantly influenced the national election, contributing to the annulment of the presidential results.","ai_generated":true,"unit":"ipie-000025#insight-9","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Indonesia","Bangladesh","Taiwan","Namibia","Ghana","Lithuania","Mexico","Tunisia"],"frame_perspective":[],"analysis_type":["descriptive analysis","cross-case comparison","content analysis"]}]}