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DTSTART;TZID=Europe/Paris:20260915T000000
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SUMMARY:SEASON 2026 Conference | Search Engines and Society Network
DESCRIPTION:Search Engines and Society Annual Conference (SEASON 2026) brings together researchers\, practitioners\, and policymakers to discuss the societal impact of search technologies. The conference offers keynotes\, panels\, workshops\, and networking opportunities. \nSome of the themes for this year’s conference include: \n\nPolitical bias and elections\nLiteracy and education\nAI overviews and trust\nHealth and high-stakes information\nAI answers\, podcasts\, and behavior\nMethods and infrastructure\n\nExplore the full conference program here.
URL:https://mediawell.ssrc.org/event/season-2026-conference-search-engines-and-society-network/
LOCATION:HAW Hamburg – Finkenau Campus\, Finkenau 35\, Hamburg\, 22081\, Germany
CATEGORIES:Conference
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DTSTART;TZID=America/New_York:20260917T000000
DTEND;TZID=America/New_York:20260918T235959
DTSTAMP:20261104T134800
CREATED:20260702T151408Z
LAST-MODIFIED:20260702T151640Z
UID:516613-1789603200-1789775999@mediawell.ssrc.org
SUMMARY:27th International Symposium on Journalism (ISOJ)
DESCRIPTION:The 27th International Symposium on Journalism (ISOJ) will take place Sept. 17-18\, 2026\, online and in person at the University of Texas at Austin. Stay up to date with important announcements about the conference by subscribing to our newsletter. \nEl 27º Simposio Internacional de Periodismo (ISOJ) se  llevará a cabo los días 17 y 18 de septiembre de 2026\, de forma virtual y presencial en la Universidad de Texas en Austin. Para no perderte los anuncios y novedades más importantes del evento\, suscríbete a nuestro boletín. \nISOJ is organized by the Knight Center for Journalism in the Americas.\n\nClick here to learn more and to register to attend. \nNote: This is a hybrid event taking place in CDT  (UTC-5). 
URL:https://mediawell.ssrc.org/event/international-symposium-on-journalism-isoj/
LOCATION:University of Texas at Austin\, United States
CATEGORIES:Symposium
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DTSTART;TZID=Europe/Helsinki:20260917T143000
DTEND;TZID=Europe/Helsinki:20260917T153000
DTSTAMP:20261104T134800
CREATED:20260903T152439Z
LAST-MODIFIED:20260903T152439Z
UID:517736-1789655400-1789659000@mediawell.ssrc.org
SUMMARY:Reject then launder: Catching AI Models validating extremist narratives in crisis | EU Disinfo Lab
DESCRIPTION:What happens when you ask AI chatbots about a crisis or terror attack? While models are programmed to block violent content\, real-world audits reveal a concerning phenomenon: “Reject then launder.” \nChatbots initially condemn the violence to pass safety filters\, only to immediately validate and whitewash the underlying extremist ideology in their response. Crucially\, this is not a real-time data gap where models simply lack confirmed facts during a breaking story. Through real-world case studies\, including an audit of nine frontier LLMs on the 2011 Norway terror attack and social feed dynamics from the Bondi Beach shooting\, this session proves the core issue is not a shortage of information\, but a fundamental flaw in how LLMs process and reason through ideology. \nIn this webinar\, speakers from Factiverse and SimPPL will dive into these real case study findings. Beyond LLM vulnerabilities\, the session will explore how unverified viral posts and faulty AI outputs rapidly become the “accepted record” during high-stakes crises\, providing practical\, cost-effective frameworks for researchers\, fact-checkers\, and policymakers to audit these environments. \nNote: Event details are listed in CEST (UTC+2).
URL:https://mediawell.ssrc.org/event/reject-then-launder-catching-ai-models-validating-extremist-narratives-in-crisis-eu-disinfo-lab/
LOCATION:Virtual
CATEGORIES:Webinar
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