{"query_echo":{"q":"","filters":{"analysis_type":["ethical"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'ethical' 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=ethical","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":"isdglo-000123","url":"https://climateinsightsdirectory.org/document/isdglo-000123","title":"Analysing New Zealand Online Extremism","publisher":{"name":"Institute for Strategic Dialogue","organization":"institute-for-strategic-dialogue"},"document_type":"research paper","language":"en","date_published":"2021","source_url":"https://www.isdglobal.org/wp-content/uploads/2021/06/NZ-methodology-paper.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The document outlines a two-pronged research architecture designed to analyze New Zealand-specific online extremism and international extremist activity targeting New Zealand. It defines extremism based on 'social identity' and the pursuit of in-group supremacy, focusing on far-right, far-left, and Islamist ideologies. The methodology employs a combination of qualitative ethnographic research, API-based data collection, and Natural Language Processing (NLP) for thematic classification. The authors emphasize a strict ethical framework prioritizing anonymity, the use of public data only, and the production of aggregated outputs to balance individual privacy with public safety.","ai_generated":true,"unit":"isdglo-000123#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The research defines extremism as the active pursuit of systemic political and societal change based on an ideology claiming the supremacy of one 'in-group' over 'out-groups' and the dehumanization of those out-groups.","ai_generated":true,"unit":"isdglo-000123#insight-1","date_modified":"2026-10-23"},{"text":"Consultations and ethnographic research identified three primary extremist ideologies with an established presence in New Zealand: far-right, far-left, and Islamist. While misogynistic narratives were present, the researchers did not find cohesive New Zealand online communities for phenomena such as Incel movements.","ai_generated":true,"unit":"isdglo-000123#insight-2","date_modified":"2026-10-23"},{"text":"The study utilized two distinct data pipelines: a 'New Zealand pipeline' to measure activity from domestic extremists and an 'international collection' to measure activity about New Zealand from extremists globally.","ai_generated":true,"unit":"isdglo-000123#insight-3","date_modified":"2026-10-23"},{"text":"For the New Zealand pipeline, the researchers developed an automated thematic classification system using NLP to categorize content into six themes: the economy, the environment, health, politics, race, and religion.","ai_generated":true,"unit":"isdglo-000123#insight-4","date_modified":"2026-10-23"},{"text":"The performance of the NLP classifiers varied by theme, with 'Religion' achieving the highest F-score (81.6%) and 'Race' the lowest (65.6%).","ai_generated":true,"unit":"isdglo-000123#insight-5","date_modified":"2026-10-23"},{"text":"The international pipeline processed over 26 million records, including 16 million from 4Chan's /pol/ board, using a geo-parsing architecture (incorporating the CLIFF tool and GeoNames database) to identify mentions of New Zealand locations with 96% precision.","ai_generated":true,"unit":"isdglo-000123#insight-6","date_modified":"2026-10-23"},{"text":"The research adhered to a strict ethical framework that prohibited the study of non-public spaces, such as password-protected areas or private Facebook groups, and ensured all outputs were aggregated and anonymous.","ai_generated":true,"unit":"isdglo-000123#insight-7","date_modified":"2026-10-23"},{"text":"The project was explicitly designed as a research effort to identify broad trends rather than a law enforcement investigation, though a referral process was established for credible, immediate threats to life or safety.","ai_generated":true,"unit":"isdglo-000123#insight-8","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodological","ethical"]}]}