{"query_echo":{"q":"","filters":{"analysis_type":["pattern mapping"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'pattern 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=pattern+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-000089","url":"https://climateinsightsdirectory.org/document/ipie-000089","title":"선거 캠페인에서의 생성형 AI: 글로벌 패턴 매핑 정책 입안자를 위한 요약","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ko","date_published":"2025-01","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cb3311bb4c0a3808958_Final%20KO%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 cases of GenAI use in 2024 elections across 50 countries, finding that 80% of these countries experienced GenAI-related incidents. The majority of these cases (90%) involved content creation, such as deepfake audio and video, and 69% were classified as harmful to the electoral process. A significant portion of the content (46%) had untraceable origins, while 20% was attributed to foreign actors, all of whom were found to be acting with harmful intent. The document advocates for increased transparency, disclosure mandates for AI-generated political content, and improved detection mechanisms to protect democratic integrity.","ai_generated":true,"unit":"ipie-000089#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was prevalent in 2024 elections, with 80% of the 50 analyzed countries experiencing GenAI cases. The highest volumes of cases were recorded in India and the United States, with 30 cases each.","ai_generated":true,"unit":"ipie-000089#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is content creation, accounting for 90% of cases. This includes the production of audio messages, images, videos, and social media posts, often combined with targeted distribution to maximize influence.","ai_generated":true,"unit":"ipie-000089#insight-2","date_modified":"2026-10-23"},{"text":"A large proportion of GenAI-generated electoral content has anonymous or untraceable origins. Specifically, 46% of cases had unknown sources, while 25% were produced by political candidates and parties, and 20% by foreign actors.","ai_generated":true,"unit":"ipie-000089#insight-3","date_modified":"2026-10-23"},{"text":"The majority of GenAI applications in elections were harmful, with 69% of cases described as playing a detrimental role. Notably, 100% of GenAI use by foreign actors was conducted for harmful purposes.","ai_generated":true,"unit":"ipie-000089#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively in some instances. For example, 38% of use cases by domestic parties and candidates were classified as beneficial, such as using AI chatbots in Japan to engage voters.","ai_generated":true,"unit":"ipie-000089#insight-5","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":["global data-driven analysis","pattern mapping"]}]}