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Know your algorithm: what media organizations need to explain to their users about news personalization
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Know your algorithm: what media organizations need to explain to their users about news personalization (2019)Know your algorithm: what media organizat…Doomscrolling: A Review (2024)Doomscrolling: A ReviewEmbedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle (2022)Embedding artificial intellig…Challenges in enabling user control over algorithm-based services (2022)Challenges in enabling user c…Explanations of news personalisation across countries and media types (2020)Explanations of news personal…Comparing Media Systems (2004)Document Analysis as a Qualitative Research Method (2009)The Filter Bubble: What the Internet Is Hiding from You (2011)AI in the Newsroom: Lessons from the Adoption of The Globe and Mail's Sophi (2025)Cultures and Selves (2010)Trust in Automation (2014)The social dilemma of autonomous vehicles (2016)Embedding AI in society: ethics, policy, governance, and impacts (2023)Modeling AI Trust for 2050: perspectives from media and info-communication experts (2024)The Black Box Society (2015)The ethics of algorithms: Mapping the debate (2016)Principles alone cannot guarantee ethical AI (2019)ARTIFICIAL INTELLIGENCE (AI) BIAS IMPACTS: CLASSIFICATION FRAMEWORK FOR EFFECTIVE MITIGATION (2023)Cross-national evidence of a negativity bias in psychophysiological reactions to news (2019)Daily emotional well‐being during the COVID‐19 pandemic (2020)Factors Associated With Mental Health Disorders Among University Students in France Confined During the COVID-19 Pandemic (2020)
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  • 2022Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle36 cited
  • 2024Doomscrolling: A Review21 cited
  • 2020Explanations of news personalisation across countries and media types21 cited
  • 2022Challenges in enabling user control over algorithm-based services16 cited

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