21008 7 111811 2 337879 document 111811 Real-Time AI Monitoring of Online Discourse for Crisis.pdf application/pdf 959790c30d8278ae1bbdc2b7c492a052 MD5 2990646 2025-11-21 10:01:30 https://pure.iiasa.ac.at/id/eprint/21008/1/Real-Time%20AI%20Monitoring%20of%20Online%20Discourse%20for%20Crisis.pdf 21008 1 1 application/pdf text en public cc_by_nc_4

Real-Time AI Monitoring of Online Discourse for Crisis.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/111811 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/111811 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/111811 111816 2 337889 document 111816 small.jpg image/png 5246986e2934c9d1def3cd9a93312c17 MD5 1651 2025-11-21 10:12:00 https://pure.iiasa.ac.at/id/eprint/21008/6/small.jpg 21008 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/111811 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/111811 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/111811 archive 353 disk0/00/02/10/08 2025-11-21 10:04:46 2025-11-21 10:04:46 2025-11-21 10:04:46 conference_item show 1 Erokhin D. 9200 0000-0002-5191-0579 pub ASA CAT Crisis communication, real‑time monitoring, artificial intelligence, sentiment analysis, topic modeling, misinformation detection, online discourse, resilience, public institutions This talk demonstrates how artificial intelligence can be harnessed to analyze online discussions in real time, providing actionable insights for crisis communication. The presentation outlines a workflow in which data is continuously gathered from social media platforms, video sites, and news feeds. Advanced natural language processing techniques are then applied to detect sudden surges in topic mentions, map shifts in public sentiment, and identify dominant narratives without manual intervention. Misinformation detector highlights emerging rumors that require rapid correction. Through illustrations across multiple crisis scenarios such as natural disasters, public health threats, and geopolitical events the talk shows how an AI‑powered dashboard can visualize trending concerns, emotional tone changes, and disinformation hotspots. The session advocates for organizations and governments to integrate such systems into their crisis protocols, enabling teams to anticipate public anxieties, tailor messages dynamically, and allocate resources more effectively. Attendees will gain a practical framework for designing the necessary data pipelines, deploying sentiment and topic analysis at scale, and embedding real‑time monitoring into existing communication strategies. 2025-11-20 published 3134 public paper KI Navigator Nuremburg 19-20 November 2025 conference FALSE info:eu-repo/semantics/conferenceObject