{"query_echo":{"q":"","filters":{"geography":["India"]},"warnings":[]},"total":{"value":4960,"relation":"eq"},"page":31,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=India&page=31","next":"https://climateinsightsdirectory.org/api/v1/search?geography=India&page=32","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-000027","url":"https://climateinsightsdirectory.org/document/ipie-000027","title":"Trends in the Information environment: 2025 Expert Survey Results","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://www.ipie.info/research/sr2025-2","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report presents findings from the 2025 IPIE Expert Survey, highlighting a growing pessimism about the future of the information environment. It identifies the availability of accurate information and diverse voices as essential for a healthy environment, while citing lack of platform accountability as a primary threat. The document also examines the mixed impact of social media, the negative perceptions of generative AI, and the increasing barriers faced by researchers, particularly regarding funding and academic freedom.","ai_generated":true,"unit":"ipie-000027#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Experts consistently identify the availability of accurate information and the presence of diverse voices as the most critical components of a healthy information environment. Specifically, 67% of experts view the availability of accurate information as \"absolutely essential\".","ai_generated":true,"unit":"ipie-000027#insight-1","date_modified":"2026-10-23"},{"text":"There is a significant regional divide regarding the primary barriers to media diversity. Experts focusing on developed countries primarily cite the \"dominance of large private media companies\" (32%), whereas those studying developing countries identify \"political control or censorship\" as the top barrier (32%).","ai_generated":true,"unit":"ipie-000027#insight-2","date_modified":"2026-10-23"},{"text":"Lack of platform accountability is viewed as a major threat, with 76% of experts classifying it as a \"big or extreme threat\". Other significant threats include mis/disinformation, polarization, and concentrated media ownership.","ai_generated":true,"unit":"ipie-000027#insight-3","date_modified":"2026-10-23"},{"text":"Generative AI is perceived as having a mostly negative impact on the information environment, with experts expecting these negative effects to increase over the next five years. AI-generated videos are considered more threatening than AI-generated text.","ai_generated":true,"unit":"ipie-000027#insight-4","date_modified":"2026-10-23"},{"text":"Social media is viewed as a double-edged sword: over 75% of experts believe it has increased polarization, populism, and mental health issues, yet more than half believe it has increased political participation.","ai_generated":true,"unit":"ipie-000027#insight-5","date_modified":"2026-10-23"},{"text":"Research barriers have shifted, with funding opportunities (62%) now overtaking data access (49%) as the most frequently mentioned obstacle. US-based experts are particularly likely to report \"government control of funding\" (48%) as a barrier.","ai_generated":true,"unit":"ipie-000027#insight-6","date_modified":"2026-10-23"},{"text":"Researchers face significant personal and professional risks; 23% reported being \"harassed or doxed\", and one-third of experts reported self-censoring on social media due to career concerns.","ai_generated":true,"unit":"ipie-000027#insight-7","date_modified":"2026-10-23"},{"text":"Expert pessimism regarding the future of the information environment has risen steadily from 54% in 2023 to 72% in 2025. In 2025, experts in developed countries (76%) were more pessimistic than those in developing countries (67%).","ai_generated":true,"unit":"ipie-000027#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Brazil","People's Republic of China","Kenya","India","Mexico"],"frame_perspective":[],"analysis_type":["expert survey","comparative analysis","trend analysis"]},{"id":"ipie-000083","url":"https://climateinsightsdirectory.org/document/ipie-000083","title":"L'IA générative dans les campagnes électorales : cartographie des tendances mondiales","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"fr","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c8b6525d26d8c8c7906_Final%20FR%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report finds that 80% of countries with competitive national elections in 2024 experienced GenAI-related incidents, with 69% of these incidents having a harmful impact. The majority of GenAI use focused on content creation (90%), and nearly half of the incidents (46%) had unknown sources. While some positive uses for civic engagement were noted, the document emphasizes the risks of disinformation and foreign interference, calling for mandatory disclosure standards and improved detection mechanisms.","ai_generated":true,"unit":"ipie-000083#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was prevalent in the majority of competitive national elections in 2024, with 80% of the 50 analyzed countries experiencing GenAI-related incidents. India and the United States recorded the highest number of incidents, with 30 each.","ai_generated":true,"unit":"ipie-000083#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is the production of synthetic content, including audio, images, videos, and social media posts, which accounted for 90% of recorded incidents. These tools are often integrated into broader influence operations using personalized messaging and targeted distribution.","ai_generated":true,"unit":"ipie-000083#insight-2","date_modified":"2026-10-23"},{"text":"Attributing GenAI content to a specific source is difficult, as 46% of incidents had unknown origins. Among identifiable sources, candidates and political parties were responsible for 25%, foreign actors for 20%, and other groups (such as lobbyists or individuals) for 9%.","ai_generated":true,"unit":"ipie-000083#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in elections were harmful, with 69% of incidents categorized as having a detrimental role. Notably, 100% of incidents attributed to foreign actors were found to be harmful, such as the coordinated use of AI-generated voice content by Russian and Chinese actors during the Solomon Islands elections.","ai_generated":true,"unit":"ipie-000083#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively for civic engagement and accessibility. For example, 38% of uses by national political parties and candidates were beneficial, including the use of AI chatbots in Japan to answer voter questions and encourage turnout.","ai_generated":true,"unit":"ipie-000083#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific cases where GenAI significantly impacted electoral outcomes or perceptions, such as in Romania, where coordinated AI manipulation contributed to the annulment of presidential election results, and in Bangladesh, where a deepfake video falsely announced a candidate's withdrawal.","ai_generated":true,"unit":"ipie-000083#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["trend analysis","incident mapping","policy assessment"]},{"id":"ipie-000084","url":"https://climateinsightsdirectory.org/document/ipie-000084","title":"IA generativa en campañas electorales: identificación de patrones globales","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"es","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c9286759bdd611e2a47_Final%20ES%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 incidents of generative AI use across 50 countries that held competitive national elections in 2024. It finds that GenAI was present in 80% of these countries, primarily used for creating synthetic content such as deepfake audio and video. A significant majority (69%) of these incidents were categorized as harmful to the electoral process, with 20% attributed to foreign actors, all of whom demonstrated harmful intent. The document emphasizes the challenge of anonymity, as 46% of incidents had unidentifiable authors, and recommends mandatory disclosure norms and improved detection methods to protect democratic integrity.","ai_generated":true,"unit":"ipie-000084#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI (GenAI) was utilized in the campaign phases of 80% of the countries that held competitive national elections in 2024. India and the United States were particularly prominent, with 30 documented incidents each.","ai_generated":true,"unit":"ipie-000084#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 designed to be realistic and misleading.","ai_generated":true,"unit":"ipie-000084#insight-2","date_modified":"2026-10-23"},{"text":"Attributing the source of GenAI content is difficult, as 46% of incidents have no identifiable author. Among those that could be traced, candidates and political parties were responsible for 25%, foreign operators for 20%, and other groups for 9%.","ai_generated":true,"unit":"ipie-000084#insight-3","date_modified":"2026-10-23"},{"text":"A majority of GenAI applications in electoral contexts are detrimental, with 69% of incidents categorized as harmful. All documented uses by foreign actors were found to have harmful intentions, such as interfering in processes or manipulating voter perception.","ai_generated":true,"unit":"ipie-000084#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively by 38% of national political parties and candidates. Examples include the use of chatbots in Japan to interact with voters and the use of GenAI for civic outreach and accessibility (16% of incidents).","ai_generated":true,"unit":"ipie-000084#insight-5","date_modified":"2026-10-23"},{"text":"Specific instances of GenAI-driven electoral interference include the invalidation of presidential election results in Romania due to coordinated manipulation, a deepfake video of a candidate withdrawing in Bangladesh, and a fake audio clip of US President Joe Biden supporting local parties in Namibia.","ai_generated":true,"unit":"ipie-000084#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["empirical analysis","global trend analysis","policy review"]},{"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"]},{"id":"ipie-000086","url":"https://climateinsightsdirectory.org/document/ipie-000086","title":"الذكاء الاصطناعي التوليدي في الانتخابات: رؤى للأنماط العالمية لصانعي السياسات 2025","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ar","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0ca048177b5b2af84666_Final%20AR%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 generative AI (GenAI) use during 2024 national elections across 50 countries. It finds that 80% of these countries experienced GenAI-related incidents, with 90% of cases involving the creation of synthetic content such as audio, images, and video. Approximately 69% of these incidents were classified as harmful, often involving impersonation or disinformation. While 38% of uses were deemed useful—such as for civic outreach or simplifying communications—nearly half of all incidents (46%) came from unknown sources, complicating accountability and transparency.","ai_generated":true,"unit":"ipie-000086#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was present in the vast majority of analyzed national elections in 2024, with 80% of the 50 countries that held competitive elections recording related incidents. The highest volume of incidents occurred in India and the United States, with 30 recorded cases each.","ai_generated":true,"unit":"ipie-000086#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of generative AI in elections is content creation, accounting for 90% of recorded incidents. This includes the production of synthetic audio, images, videos, and social media posts designed to be realistic and misleading.","ai_generated":true,"unit":"ipie-000086#insight-2","date_modified":"2026-10-23"},{"text":"A significant portion of generative AI use in elections is anonymous or unattributable. In 46% of cases, the source was unknown; 25% were produced by political candidates and parties, 20% by foreign actors, and 9% by other sources such as lobby groups or individuals.","ai_generated":true,"unit":"ipie-000086#insight-3","date_modified":"2026-10-23"},{"text":"Most generative AI applications in the studied elections had a negative impact, with 69% of incidents described as playing a harmful role. Harmful uses included adversarial impersonation, automated disinformation, and the use of bots to amplify low-quality content. Notably, 100% of the GenAI use attributed to foreign actors was reported as serving harmful purposes.","ai_generated":true,"unit":"ipie-000086#insight-4","date_modified":"2026-10-23"},{"text":"Generative AI also had constructive applications in 38% of reported cases, including civic awareness (16%) and improving accessibility for marginalized or illiterate populations. For example, candidates in Japan used GenAI chatbots to interact with voters.","ai_generated":true,"unit":"ipie-000086#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific instances where GenAI severely impacted electoral integrity, such as in Romania, where coordinated efforts to distort national elections led to the annulment of presidential election results.","ai_generated":true,"unit":"ipie-000086#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Taiwan","Japan"],"frame_perspective":[],"analysis_type":["data analysis","global assessment","policy recommendation"]},{"id":"ipie-000087","url":"https://climateinsightsdirectory.org/document/ipie-000087","title":"Generative KI in Wahlkampagnen: Kartierung globaler Muster","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"de","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0ca6fcede156eee4ac8e_Final%20DE%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, finding that 80% of countries with competitive elections experienced such incidents. The majority of these cases involved content creation (90%) and were deemed harmful to the electoral process (69%). A significant portion of the sources remain unknown (46%), while political candidates (25%) and foreign actors (20%) are the primary identified sources. The document recommends transparency standards and disclosure requirements to protect electoral integrity.","ai_generated":true,"unit":"ipie-000087#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was utilized in 80% of the countries that held competitive national elections in 2024. The highest number of recorded incidents occurred in India and the United States, with 30 cases each.","ai_generated":true,"unit":"ipie-000087#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is content creation, accounting for 90% of reported incidents. This includes the production of audio messages, images, videos, and social media posts.","ai_generated":true,"unit":"ipie-000087#insight-2","date_modified":"2026-10-23"},{"text":"Attributing the source of GenAI content is difficult, as the origin was unknown in 46% of cases. Among identified sources, political candidates and parties accounted for 25%, and foreign actors accounted for 20%.","ai_generated":true,"unit":"ipie-000087#insight-3","date_modified":"2026-10-23"},{"text":"The majority of GenAI applications in elections are detrimental, with 69% of recorded incidents classified as harmful. Notably, 100% of the GenAI use attributed to foreign actors served harmful purposes.","ai_generated":true,"unit":"ipie-000087#insight-4","date_modified":"2026-10-23"},{"text":"While largely harmful, GenAI has been used constructively by some political actors. In Japan, candidates used GenAI-powered chatbots to engage with voters, and 38% of reported uses by national political parties and candidates were classified as useful.","ai_generated":true,"unit":"ipie-000087#insight-5","date_modified":"2026-10-23"},{"text":"Specific examples of harmful GenAI use include a deepfake video in Bangladesh falsely announcing a candidate's withdrawal, a manipulated video in Taiwan targeting a presidential candidate, and cloned audio of US President Joe Biden in Namibia to support local parties.","ai_generated":true,"unit":"ipie-000087#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":["data-driven analysis","mapping of global patterns"]},{"id":"ipie-000088","url":"https://climateinsightsdirectory.org/document/ipie-000088","title":"選挙キャンペーンにおける 成AI： 国際的パターンのマッピング 政策立案者向けサマリー 2025.1","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ja","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cad92d810a0f2eb7909_Final%20JP%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that 80% of countries with competitive national elections in 2024 experienced GenAI-related incidents, with 69% of these being harmful. Most incidents involved content creation, such as deepfakes, and nearly half had unknown sources. While some candidates used GenAI for positive voter outreach, the majority of use—especially by foreign actors—was deceptive or malicious.","ai_generated":true,"unit":"ipie-000088#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI (GenAI) was present in the vast majority of competitive national elections in 2024, with 80% of the 50 countries studied experiencing GenAI-related incidents. The highest number of recorded incidents occurred in India and the United States, with 30 cases each.","ai_generated":true,"unit":"ipie-000088#insight-1","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Bangladesh","Namibia"],"frame_perspective":[],"analysis_type":["empirical analysis","incident mapping","policy review"]},{"id":"ipie-000090","url":"https://climateinsightsdirectory.org/document/ipie-000090","title":"IA generativa em campanhas eleitorais: mapeamento de padrões globais","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"policy brief","language":"pt","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cbc67ee8b8ecfd81f08_Final%20PTB%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed"],"summary":{"text":"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.","ai_generated":true,"unit":"ipie-000090#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 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.","ai_generated":true,"unit":"ipie-000090#insight-1","date_modified":"2026-10-23"},{"text":"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.","ai_generated":true,"unit":"ipie-000090#insight-2","date_modified":"2026-10-23"},{"text":"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%.","ai_generated":true,"unit":"ipie-000090#insight-3","date_modified":"2026-10-23"},{"text":"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.","ai_generated":true,"unit":"ipie-000090#insight-4","date_modified":"2026-10-23"},{"text":"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).","ai_generated":true,"unit":"ipie-000090#insight-5","date_modified":"2026-10-23"},{"text":"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.","ai_generated":true,"unit":"ipie-000090#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":[]},{"id":"ipie-000091","url":"https://climateinsightsdirectory.org/document/ipie-000091","title":"Uzalishaji wa AI katika Kampeni za Uchaguzi: Kuchora Miundo ya Ulimwenguni","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"sw","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cc4817fd01ff7f2b539_Final%20SW%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document analyzes the role of Generative AI in 2024 national elections across 50 countries. It finds that 80% of these countries experienced GenAI incidents, with 90% of those cases involving content creation such as audio, images, and video. A significant portion of these incidents (69%) were classified as harmful to electoral integrity, and nearly half (46%) originated from unknown sources. The report highlights specific examples of misuse in countries like Romania, Bangladesh, and Taiwan, while noting some beneficial uses in Japan. It concludes by recommending mandatory disclosure standards and increased transparency to protect democratic processes.","ai_generated":true,"unit":"ipie-000091#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was prevalent in the majority of competitive national elections in 2024, with 80% of the 50 analyzed countries recording GenAI incidents. The highest volume of incidents occurred in India and the United States, with 30 cases recorded in each.","ai_generated":true,"unit":"ipie-000091#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in these contexts is content generation, accounting for 90% of recorded incidents. This includes the creation of synthetic audio, images, videos, and social media posts used for both authentic and misleading communication.","ai_generated":true,"unit":"ipie-000091#insight-2","date_modified":"2026-10-23"},{"text":"A large proportion of GenAI content sources are anonymous, with 46% of cases having no identifiable source. Among identified sources, political candidates and parties accounted for 25%, while foreign actors accounted for 20%.","ai_generated":true,"unit":"ipie-000091#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in elections were deemed harmful, with 69% of incidents described as playing a negative role in the electoral process. Notably, 100% of reported GenAI use by foreign actors was classified as having harmful objectives.","ai_generated":true,"unit":"ipie-000091#insight-4","date_modified":"2026-10-23"},{"text":"GenAI has been used to disrupt specific national elections, such as in Romania, where coordinated AI efforts contributed to the annulment of presidential election results. Other examples include deepfake videos in Bangladesh and Taiwan, and fake audio of US President Joe Biden in Namibia.","ai_generated":true,"unit":"ipie-000091#insight-5","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI also had constructive applications; 38% of reported use by national political parties and candidates was classified as beneficial. For example, candidates in Japan used GenAI chatbots to engage voters and answer basic questions.","ai_generated":true,"unit":"ipie-000091#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Solomon Islands","Japan","Switzerland"],"frame_perspective":[],"analysis_type":["data-driven analysis","global assessment","policy recommendation"]},{"id":"ipie-000098","url":"https://climateinsightsdirectory.org/document/ipie-000098","title":"2025 年全球信息环境专家 调查： 保障认知安全","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"vi","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/69f477a1fb36421adeccb464_Expert%20Survey%202025%20SPF%20Final%20Chinese.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2025 IPIE expert survey reveals growing pessimism about the global information environment, with 72% of respondents expecting it to worsen. The report highlights a 'chilling effect' on researchers, the complex dual role of social media in promoting political participation while increasing polarization, and a strong expert consensus on the need for clear labeling of AI-generated content and regular algorithmic audits to safeguard cognitive security.","ai_generated":true,"unit":"ipie-000098#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Social media has a contradictory impact on society: while 88% of experts believe it exacerbates social polarization, 61% acknowledge that it promotes political participation. In contrast, 80% of respondents view search engines as having an overall positive effect, particularly when compared to AI and recommendation systems.","ai_generated":true,"unit":"ipie-000098#insight-1","date_modified":"2026-10-23"},{"text":"Researchers studying the information environment are experiencing a significant 'chilling effect' and institutional barriers. Approximately 73% of experts report experiencing harassment, interference, or self-censorship. Specifically, 34% admit to self-censoring on social media due to professional concerns (rising to 40% for experts in developing countries), and 23% fear the loss of research funding or have suffered harassment and doxing.","ai_generated":true,"unit":"ipie-000098#insight-2","date_modified":"2026-10-23"},{"text":"There is a strong expert consensus on policy measures for the AI era to ensure cognitive security. 60% of experts recommend that AI-generated content must be clearly labeled, and over 75% agree that algorithms should be audited regularly to identify and reduce bias.","ai_generated":true,"unit":"ipie-000098#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Western Europe","Brazil","People's Republic of China","Kenya","India","Mexico"],"frame_perspective":[],"analysis_type":["expert survey","executive summary"]},{"id":"ipie-000099","url":"https://climateinsightsdirectory.org/document/ipie-000099","title":"Опрос экспертов о глобальной информационной среде, 2025 г.","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/69f4782a66854fb8c921b7de_Expert%20Survey%202025%20SPF%20Final%20Russian.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2025 IPIE expert survey reveals growing pessimism regarding the global information environment, with 72% of experts expecting further deterioration. While social networks are seen as drivers of both political polarization and engagement, researchers face significant barriers including self-censorship and harassment. The report advocates for systemic safeguards in the AI era, such as mandatory content labeling and algorithmic audits, to protect the integrity of information supply chains.","ai_generated":true,"unit":"ipie-000099#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Expert sentiment regarding the global information environment is increasingly pessimistic, with 72% of respondents expecting it to worsen, compared to 54% in 2023. Three-quarters (75%) of experts identify the lack of accountability for digital platforms as the most severe global threat.","ai_generated":true,"unit":"ipie-000099#insight-1","date_modified":"2026-10-23"},{"text":"Social media has a contradictory impact on society: 88% of experts believe it has increased polarization, yet 61% acknowledge it has fostered political engagement. In contrast, over 75% of experts view search engines as having a positive influence on society.","ai_generated":true,"unit":"ipie-000099#insight-2","date_modified":"2026-10-23"},{"text":"Researchers studying the information environment face significant professional risks and pressures. Approximately 73% report experiencing demotivating effects, including self-censorship, harassment, or political interference. Specifically, 34% admit to self-censoring on social media due to career concerns, a figure that rises to 40% for specialists in developing countries.","ai_generated":true,"unit":"ipie-000099#insight-3","date_modified":"2026-10-23"},{"text":"There is a strong expert consensus on policy measures to mitigate AI-related risks. 60% of experts recommend the clear labeling of AI-generated content, and 83% believe such labeling would improve the information environment. Additionally, over two-thirds support regular algorithmic audits to eliminate bias and promote a diversity of viewpoints.","ai_generated":true,"unit":"ipie-000099#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Western Europe","Brazil","People's Republic of China","Kenya","India","Mexico"],"frame_perspective":[],"analysis_type":["expert survey","policy analysis"]},{"id":"ipie-000100","url":"https://climateinsightsdirectory.org/document/ipie-000100","title":"Enquête auprès d’experts sur l’environnement mondial de l’information 2025","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"fr","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/69f478afc3636239dea02997_Expert%20Survey%202025%20SPF%20Final%20French.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The 2025 IPIE Expert Survey reveals increasing pessimism about the global information environment, with 72% of experts expecting further degradation. While social media is seen to both increase political participation and exacerbate polarization, there is a strong expert consensus on the need for AI-generated content labeling and algorithmic auditing. Additionally, the report highlights significant systemic pressures on researchers, including harassment and self-censorship, particularly in developing economies.","ai_generated":true,"unit":"ipie-000100#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Expert pessimism regarding the global information environment has increased significantly, with 72% of respondents expecting it to degrade, compared to 54% in 2023. Additionally, 75% of those surveyed identify the lack of platform accountability as the most severe global threat.","ai_generated":true,"unit":"ipie-000100#insight-1","date_modified":"2026-10-23"},{"text":"Social media platforms have a contradictory impact on society: 88% of experts believe they have increased polarization, yet 61% state they have fostered political participation. In contrast, over 80% of respondents view search engines positively, especially when compared to AI, social networks, and recommendation systems.","ai_generated":true,"unit":"ipie-000100#insight-2","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["United States","Brazil","People's Republic of China","Kenya","India","Mexico","Western Europe"],"frame_perspective":[],"analysis_type":["expert survey"]},{"id":"ipie-000101","url":"https://climateinsightsdirectory.org/document/ipie-000101","title":"Encuesta de 2025 a expertos sobre el entorno global de la información: Salvaguardar la seguridad","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"es","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/69f4791816494217abdb4650_Expert%20Survey%202025%20SPF%20Final%20Spanish.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2025 IPIE Expert Survey reveals increasing pessimism regarding the global information environment, with 72% of experts expecting it to worsen. While social media is seen as a driver of both political polarization and participation, researchers face significant barriers, including harassment and self-censorship. Experts advocate for specific AI safeguards, such as mandatory labeling of synthetic content and periodic algorithmic audits, to protect the reliability of information supply chains.","ai_generated":true,"unit":"ipie-000101#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Expert pessimism regarding the global information environment has increased significantly, with 72% of respondents expecting it to worsen in 2025, compared to 54% in 2023.","ai_generated":true,"unit":"ipie-000101#insight-1","date_modified":"2026-10-23"},{"text":"The lack of platform accountability is identified by 75% of experts as the most severe global threat to the information environment.","ai_generated":true,"unit":"ipie-000101#insight-2","date_modified":"2026-10-23"},{"text":"Social media platforms have a contradictory impact: 88% of experts believe they have increased polarization, yet 61% state they have fostered political participation.","ai_generated":true,"unit":"ipie-000101#insight-3","date_modified":"2026-10-23"},{"text":"Search engines are viewed more positively than other technologies, with over 80% of experts stating they have positive effects, especially when compared to AI, social media, and recommendation systems.","ai_generated":true,"unit":"ipie-000101#insight-4","date_modified":"2026-10-23"},{"text":"Researchers studying the information environment face substantial professional risks; 73% report chilling effects such as self-censorship, harassment, or fear of losing funding, with 34% admitting to self-censoring on social media for career reasons.","ai_generated":true,"unit":"ipie-000101#insight-5","date_modified":"2026-10-23"},{"text":"There is a strong expert consensus on policy responses for AI, with 60% recommending that AI-generated content be clearly labeled and over 75% agreeing that such labeling would improve the information environment.","ai_generated":true,"unit":"ipie-000101#insight-6","date_modified":"2026-10-23"},{"text":"Experts advocate for systemic safeguards including periodic algorithmic audits to mitigate bias and the protection of journalists and freedom of information standards.","ai_generated":true,"unit":"ipie-000101#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Brazil","People's Republic of China","Kenya","India","Mexico","Western Europe"],"frame_perspective":[],"analysis_type":["expert survey","executive summary"]},{"id":"ipie-000102","url":"https://climateinsightsdirectory.org/document/ipie-000102","title":"Expert Survey on the Global Information Environment 2025","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"en","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/69f47a4fcc6e5160630122df_Expert%20Survey%202025%20SPF%20Final%20English.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2025 Expert Survey on the Global Information Environment reveals growing pessimism, with 72% of experts expecting the information environment to worsen. The report highlights a complex relationship with social media, where platforms are seen to increase polarization while promoting political participation. It also documents significant 'chilling effects' on researchers, with 73% reporting harassment, self-censorship, or funding fears. To safeguard epistemic security in the AI era, experts recommend clear labeling of AI-generated content and regular algorithmic audits.","ai_generated":true,"unit":"ipie-000102#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Expert pessimism regarding the global information environment has increased significantly, with 72% of respondents expecting it to worsen in 2025, compared to 54% in 2023. Three-quarters (75%) of experts identify the lack of platform accountability as the most severe global threat.","ai_generated":true,"unit":"ipie-000102#insight-1","date_modified":"2026-10-23"},{"text":"Social media has contradictory effects on the information environment: 88% of experts believe it has increased polarization, yet 61% state it has promoted political participation. In contrast, 80% of respondents view search engines as having a positive impact on society.","ai_generated":true,"unit":"ipie-000102#insight-2","date_modified":"2026-10-23"},{"text":"Researchers studying the information environment face substantial professional risks and 'chilling effects.' Overall, 73% of experts report experiencing harassment, intervention, or self-censorship. Specifically, 34% admit to self-censoring on social media due to career concerns, a figure that rises to 40% for experts in developing countries. Additionally, 23% fear the loss of research funding or report being doxed or harassed.","ai_generated":true,"unit":"ipie-000102#insight-3","date_modified":"2026-10-23"},{"text":"There is a strong expert consensus on policy safeguards for the AI era. 60% of experts recommend that AI-generated content be clearly labeled, and 83% believe such labeling would improve the information environment. Furthermore, over two-thirds of experts support the regular auditing of algorithms to mitigate biases and promote a diversity of perspectives.","ai_generated":true,"unit":"ipie-000102#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Western Europe","Brazil","People's Republic of China","Kenya","India","Mexico"],"frame_perspective":[],"analysis_type":["expert survey","meta-analysis"]},{"id":"ipie-000110","url":"https://climateinsightsdirectory.org/document/ipie-000110","title":"استطالع آراء الخرباء حول البيئة المعلوماتية العالمية لعام 2025 حماية األمن المعرف","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"policy brief","language":"ar","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6a465a1f0bc22c3e9dc00dc2_Expert%20Survey%202025%20SPF%20Arabic%20Final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2025 IPIE expert survey reveals a growing pessimism regarding the global information environment, with 72% of experts believing it is deteriorating. The document highlights the dual nature of social media—increasing both political polarization and engagement—and reports significant pressures on researchers, including self-censorship and harassment. It advocates for 'epistemic security' through measures such as clear labeling of AI-generated content and regular algorithmic audits.","ai_generated":true,"unit":"ipie-000110#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Expert pessimism regarding the state of the global information environment has increased, with 72% of experts now believing it is deteriorating, compared to 54% in 2023.","ai_generated":true,"unit":"ipie-000110#insight-1","date_modified":"2026-10-23"},{"text":"Three-quarters of experts (75%) identify the lack of platform accountability as the most severe threat to the information environment.","ai_generated":true,"unit":"ipie-000110#insight-2","date_modified":"2026-10-23"},{"text":"Social media has a contradictory impact: 88% of participants believe it has increased polarization, while 61% believe it enhances political participation.","ai_generated":true,"unit":"ipie-000110#insight-3","date_modified":"2026-10-23"},{"text":"Search engines are perceived more positively than recommendation systems, social media, and AI, with over 75% of experts viewing their societal impact as positive.","ai_generated":true,"unit":"ipie-000110#insight-4","date_modified":"2026-10-23"},{"text":"Researchers face significant professional risks; 73% reported experiencing negative effects such as self-censorship, harassment, or fear of funding loss. Specifically, 34% of experts practice self-censorship on social media due to concern for their careers, a figure that rises to 40% for those in developing countries.","ai_generated":true,"unit":"ipie-000110#insight-5","date_modified":"2026-10-23"},{"text":"There is strong expert consensus on policy responses to AI-generated content: 60% support clear labeling of such content, and over 75% (83%) believe this labeling would improve the information environment.","ai_generated":true,"unit":"ipie-000110#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Brazil","People's Republic of China","Kenya","India","Mexico","Western Europe"],"frame_perspective":[],"analysis_type":["expert survey","policy brief"]},{"id":"isdglo-000086","url":"https://climateinsightsdirectory.org/document/isdglo-000086","title":"Assessing and Mitigating Conflict-Related Online Risks","publisher":{"name":"Institute for Strategic Dialogue","organization":"institute-for-strategic-dialogue"},"document_type":"policy brief","language":"en","date_published":"2025","source_url":"https://www.isdglobal.org/wp-content/uploads/2026/03/DPL-Assessing-Mitigating-Conflict-Related-Online-Risks.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document analyzes the spillover of conflict-related online risks—such as disinformation, hate speech, and technology-facilitated gender-based violence—into domestic environments. It argues that while the EU's Digital Services Act (DSA) and UK's Online Safety Act (OSA) were not primarily designed for conflict settings, their systemic risk assessments and crisis protocols can be leveraged to hold platforms accountable. The brief highlights critical gaps, including the erasure of war crime evidence due to over-moderation and the role of engagement-driven algorithms in amplifying harmful content. It recommends structured cross-border cooperation, the development of evidence-preservation protocols, and a shift toward outcome-based metrics in platform risk reporting.","ai_generated":true,"unit":"isdglo-000086#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Conflict-related online risks frequently transcend borders, impacting diaspora and minority communities in countries far from the actual fighting and fueling domestic polarization and offline tensions.","ai_generated":true,"unit":"isdglo-000086#insight-1","date_modified":"2026-10-23"},{"text":"Generative AI is increasingly used in wartime information operations to distort public perception, as seen during the June 2025 Iran-Israel war and the 2025 India-Pakistan confrontation.","ai_generated":true,"unit":"isdglo-000086#insight-2","date_modified":"2026-10-23"},{"text":"Over-moderation by platforms creates a significant accountability gap by erasing digital evidence of war crimes and human rights abuses, which is often the same content that triggers automated takedowns.","ai_generated":true,"unit":"isdglo-000086#insight-3","date_modified":"2026-10-23"},{"text":"Platform design and business models, specifically engagement-based recommender systems and advertising, can financially reward and amplify divisive or misleading conflict narratives.","ai_generated":true,"unit":"isdglo-000086#insight-4","date_modified":"2026-10-23"},{"text":"The EU's Digital Services Act (DSA) provides tools such as the Article 36 Crisis Response Mechanism, which allows the Commission to require Very Large Online Platforms and Search Engines (VLOPSEs) to take proportionate measures during extraordinary circumstances like armed conflict.","ai_generated":true,"unit":"isdglo-000086#insight-5","date_modified":"2026-10-23"},{"text":"The UK's Online Safety Act (OSA) lacks a formal crisis response mechanism similar to the DSA, leaving platforms unprepared to respond swiftly to rapidly evolving threats, such as the 2024 Southport riots.","ai_generated":true,"unit":"isdglo-000086#insight-6","date_modified":"2026-10-23"},{"text":"An analysis of VLOPSE risk assessment reports under the DSA reveals a transparency gap; most platforms provide vague process descriptions and output metrics (e.g., number of removals) rather than outcome-based indicators of effectiveness.","ai_generated":true,"unit":"isdglo-000086#insight-7","date_modified":"2026-10-23"},{"text":"Platforms often fail to provide adequate local-language moderation in conflict zones, relying on poorly trained AI tools, as evidenced by Meta's delayed response to ethnic violence in Ethiopia.","ai_generated":true,"unit":"isdglo-000086#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["Myanmar","Ethiopia","Ukraine","Israel","Iran","India","Pakistan","Eritrea","Colombia","Ecuador","Peru","Syria"],"frame_perspective":[],"analysis_type":["policy analysis","regulatory review","case study"]},{"id":"prio-000981","url":"https://climateinsightsdirectory.org/document/prio-000981","title":"Bridging Gaps in Water Governance: Addressing Conflict and Climate Challenges","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"policy brief","language":"en","date_published":"2025","source_url":"https://cdn.cloud.prio.org/files/5aba794e-2b79-4e45-b1c0-9bc29aecc0ab/PRIO Policy Brief 1 2025.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document identifies a critical disconnect between macro-level transboundary water treaties and the lived realities of local water users, particularly in conflict-prone and climate-stressed regions. It argues that while 'water wars' are rare, the failure to integrate grassroots concerns into national strategies can exacerbate local tensions and undermine regional stability. The brief highlights how armed conflict destroys infrastructure and how climate-induced scarcity can reduce altruism and increase in-group bias. It recommends bridging these gaps through inclusive governance, technological innovation, and evidence-based policymaking to foster resilience and peacebuilding.","ai_generated":true,"unit":"prio-000981#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A significant governance gap exists between national-level water diplomacy and unresolved local disputes, where macro-level treaties often fail to address specific local allocation issues between agricultural, urban, and rural populations.","ai_generated":true,"unit":"prio-000981#insight-1","date_modified":"2026-10-23"},{"text":"Regions experiencing both armed conflict and climate change are at a higher risk of water scarcity, as conflict destroys vital infrastructure and environmental stressors like drought amplify intergroup tensions.","ai_generated":true,"unit":"prio-000981#insight-2","date_modified":"2026-10-23"},{"text":"Armed conflict causes immediate health crises by targeting water infrastructure—such as dams and treatment plants—and creates long-term vulnerabilities by contaminating aquifers and hindering economic recovery.","ai_generated":true,"unit":"prio-000981#insight-3","date_modified":"2026-10-23"},{"text":"Resource scarcity driven by climate change can negatively impact social behavior by reducing altruism and increasing in-group biases, leading individuals to prioritize their own community over others.","ai_generated":true,"unit":"prio-000981#insight-4","date_modified":"2026-10-23"},{"text":"Grassroots initiatives, such as community-led irrigation in Burkina Faso or rotational sharing in India, demonstrate the potential for local cooperation, but these efforts often lack the formal recognition and funding needed to scale.","ai_generated":true,"unit":"prio-000981#insight-5","date_modified":"2026-10-23"},{"text":"Technological tools like satellite monitoring and AI can bridge governance gaps by providing real-time data, but they are not a complete solution if systemic issues like corruption and low trust in governance are not addressed.","ai_generated":true,"unit":"prio-000981#insight-6","date_modified":"2026-10-23"}],"climate_tags":["water-management","climate change","water scarcity","climate resilience","drought","desertification"],"geography_discussed":["Nile River Basin","Mekong River","Ethiopia","Rwanda","Uganda","Egypt","Sudan","Sahel","India","South Sudan","Syria","Ukraine","Iraq","Burkina Faso"],"frame_perspective":[],"analysis_type":["policy analysis","socio-psychological analysis"]},{"id":"prio-001571","url":"https://climateinsightsdirectory.org/document/prio-001571","title":"Migration rhythms in trajectories of upward social mobility in Asia: Survey documentation","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2025","source_url":"https://cdn.cloud.prio.org/files/0ad90514-b3b5-4c60-bb59-e4776004d6db/Migration Rhythms - Survey documentation PRIO Paper 2025.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The MigrationRhythms project conducted a face-to-face survey in Hanoi, Karachi, Manila, and Mumbai to investigate the relationship between migration and upward social mobility among the lower-to-middle-middle class. The documentation describes a probability-based sampling method using random walks to identify 500 respondents per city. It details the use of SurveyCTO CAPI software for data collection, the development of a structured questionnaire covering socio-economic status and multi-generational migration histories, and the rigorous data cleaning and anonymization processes required to produce an open-access dataset for publication on Zenodo.","ai_generated":true,"unit":"prio-001571#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The survey targeted middle-middle and lower-middle class residents in four specific Asian cities: Karachi (Pakistan), Mumbai (India), Hanoi (Vietnam), and Manila (Philippines).","ai_generated":true,"unit":"prio-001571#insight-1","date_modified":"2026-10-23"},{"text":"The project defined 'middle class' based on living standards rather than income alone, incorporating factors such as housing type, vehicle ownership, education, and asset ownership.","ai_generated":true,"unit":"prio-001571#insight-2","date_modified":"2026-10-23"},{"text":"A probability-based sampling strategy was employed, utilizing stratified random sampling and random walks to select households in areas identified as 'predominantly middle class'.","ai_generated":true,"unit":"prio-001571#insight-3","date_modified":"2026-10-23"},{"text":"The survey instrument was designed as a quasi-longitudinal tool to capture the migration and socio-economic histories of respondents, their parents, and their grandparents.","ai_generated":true,"unit":"prio-001571#insight-4","date_modified":"2026-10-23"},{"text":"Data collection was conducted via face-to-face interviews using SurveyCTO Computer Assisted Personal Interviewing (CAPI) software on tablets, with an average interview duration of approximately 40 minutes.","ai_generated":true,"unit":"prio-001571#insight-5","date_modified":"2026-10-23"},{"text":"To ensure data quality, the project implemented automated skip-logics, duration flags for unusually short or long interviews, and manual checks for contradictory responses.","ai_generated":true,"unit":"prio-001571#insight-6","date_modified":"2026-10-23"},{"text":"The final dataset underwent a rigorous anonymization process, removing metadata, specific birthplaces, and individual-level household member data to protect participant privacy before public release.","ai_generated":true,"unit":"prio-001571#insight-7","date_modified":"2026-10-23"},{"text":"The resulting open-access dataset, to be published on Zenodo after April 2026, consists of 2,016 respondents across the four cities.","ai_generated":true,"unit":"prio-001571#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate migration","urbanization"],"geography_discussed":["Vietnam","Pakistan","India","Philippines"],"frame_perspective":[],"analysis_type":["survey documentation","methodological report"]},{"id":"prio-001716","url":"https://climateinsightsdirectory.org/document/prio-001716","title":"Conflict Trends: A Global Overview, 1946–2024","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2025","source_url":"https://cdn.cloud.prio.org/files/31b69202-0728-4852-94e9-a08bdf662fe9/Rustad - Conflict Trends 1946-2024 - PRIO Paper.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report identifies 2024 as the year with the highest number of state-based conflicts since 1946, with 61 conflicts across 36 countries. While the total number of battle-related deaths in 2024 (approximately 129,000) was similar to 2023, it remains the fourth most violent year since 1989, driven primarily by wars in Ukraine, Gaza, and Ethiopia's Tigray region. The paper notes a growing complexity in conflict dynamics, where a higher share of conflict-affected countries now host multiple simultaneous conflicts. Non-state conflicts decreased slightly to 74 in 2024, with Africa becoming the region with the highest number of such conflicts. One-sided violence increased to 14,000 fatalities in 2024, with non-state actors responsible for the majority of deaths, although 14 governments also perpetrated such violence.","ai_generated":true,"unit":"prio-001716#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2024, the number of state-based conflicts reached 61 across 36 countries, marking the highest number of such conflicts recorded since 1946.","ai_generated":true,"unit":"prio-001716#insight-1","date_modified":"2026-10-23"},{"text":"The year 2024 was the fourth most violent year since 1989, with approximately 129,000 battle-related deaths. This high toll was primarily driven by the Russian invasion of Ukraine (approximately 76,000 deaths) and the war in Gaza (approximately 26,000 deaths in 2023).","ai_generated":true,"unit":"prio-001716#insight-2","date_modified":"2026-10-23"},{"text":"There is a trend of increasing conflict complexity, characterized by a widening gap between the number of conflicts and the number of affected countries. In 2024, over half of conflict-affected countries experienced more than one conflict, and nine countries faced three or more.","ai_generated":true,"unit":"prio-001716#insight-3","date_modified":"2026-10-23"},{"text":"Interstate wars—conflicts between states—are increasing, with four recorded in 2024, the highest number since 1987. These included conflicts involving Russia–Ukraine, Iran–Israel, UK/USA–Yemen, and Pakistan–Afghanistan.","ai_generated":true,"unit":"prio-001716#insight-4","date_modified":"2026-10-23"},{"text":"Non-state conflicts decreased from 80 in 2023 to 74 in 2024, resulting in approximately 17,500 battle-related deaths. Africa became the region with the highest number of non-state conflicts (37), while the Americas saw a decrease from 41 to 29.","ai_generated":true,"unit":"prio-001716#insight-5","date_modified":"2026-10-23"},{"text":"Fatalities from one-sided violence rose to 14,000 in 2024. Non-state actors were the primary perpetrators, causing 10,300 fatalities, while government actors caused 3,400 fatalities.","ai_generated":true,"unit":"prio-001716#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Ukraine","Israel","Ethiopia","Sudan","Africa","Americas","Asia","Middle East","Europe","Haiti","Burkina Faso","Pakistan","Democratic Republic of the Congo","India"],"frame_perspective":[],"analysis_type":["trend analysis","statistical overview"]},{"id":"saiia-001217","url":"https://climateinsightsdirectory.org/document/saiia-001217","title":"G20 Climate, Sustainability, Energy and Climate Finance Commitments","publisher":{"name":"South African Institute of International Affairs","organization":"south-african-institute-of-international-affairs"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://saiia.org.za/wp-content/uploads/2025/08/SAIIA_Synthesis_1_G20ClimateEnergy.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report tracks G20 climate commitments from 2008 to 2024, noting a shift from general statements to specific goals like phasing out inefficient fossil fuel subsidies and implementing the Paris Agreement. It highlights the disruptive impact of US withdrawals from the Paris Agreement under the Trump administration and the challenges of institutional memory within the G20. For its 2025 presidency, South Africa focuses on 'solidarity, equality and sustainability', with specific priorities for Africa-focused energy access, climate-resilient agriculture, and scaling adaptation finance.","ai_generated":true,"unit":"saiia-001217#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"G20 commitments to phase out inefficient fossil fuel subsidies began at the 2009 Pittsburgh Summit, with a joint report indicating that doing so by 2020 could reduce greenhouse gas emissions by 10% by 2050. However, progress has been varied; a 2012 compliance report showed member countries collectively scored 0.58 out of a possible +1 rating.","ai_generated":true,"unit":"saiia-001217#insight-1","date_modified":"2026-10-23"},{"text":"The United States has repeatedly dissented from G20 consensus on climate action during the Trump administration, withdrawing from the Paris Agreement in 2017 and again on 20 January 2025.","ai_generated":true,"unit":"saiia-001217#insight-2","date_modified":"2026-10-23"},{"text":"Climate finance commitments for developing countries have evolved from a goal of jointly mobilising $100 billion annually by 2020 to a 'floor' of $100 billion annually as of the 2023 New Delhi Summit. By 2024, developed nations settled on a target of $300 billion per year by 2035.","ai_generated":true,"unit":"saiia-001217#insight-3","date_modified":"2026-10-23"},{"text":"The G20 suffers from a structural lack of institutional memory due to the absence of a permanent secretariat or centralised archive, leading to fragmented work and the tendency for annual agendas to revisit previously addressed topics.","ai_generated":true,"unit":"saiia-001217#insight-4","date_modified":"2026-10-23"},{"text":"South Africa's 2025 G20 presidency, themed 'solidarity, equality and sustainability', prioritises the Global South through initiatives such as an Africa-focused roadmap for decentralised energy access, the establishment of climate financing for small farmers, and the development of a 10-year infrastructure plan for Africa.","ai_generated":true,"unit":"saiia-001217#insight-5","date_modified":"2026-10-23"}],"climate_tags":["fossil fuel subsidy","climate finance","Paris Agreement","energy transition","renewable energy","green growth","climate change adaptation","carbon neutrality","energy security","energy efficiency","nature-based solutions","biodiversity conservation","sustainable agriculture"],"geography_discussed":["United States","Africa","Brazil","India","Indonesia","Italy","Saudi Arabia","Japan","Argentina","Germany","People's Republic of China","Turkey","Australia","Russia","Mexico","France","South Korea","Canada","United Kingdom"],"frame_perspective":[],"analysis_type":["policy review","historical synthesis"]}]}