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DTSTART;TZID=Europe/Rome:20250611T170000
DTEND;TZID=Europe/Rome:20250611T190000
DTSTAMP:20260418T212028
CREATED:20250511T124033Z
LAST-MODIFIED:20250530T132022Z
UID:229251-1749661200-1749668400@stsitalia.org
SUMMARY:Panel 23. Human-AI feedback Loops in Platformized Consumption – Session 2
DESCRIPTION:Convenors\nMassimo Airoldi\, Università degli Studi di Milano\nAlessandro Caliandro\, Università di Pavia\nAlessandro Gandini\, Università degli Studi di Milano\nGabriella Punziano\, Università di Napoli\, Federico II \nSee Panels and Abstracts Details \nID 631 – Adding fuel to the fire: Feedback loops and platformised cultural production\nTuukka Lehtiniemi\, Helsingin yliopisto\nLaura Savolainen\, Helsingin yliopisto\nHanna Reinikainen\, Helsingin yliopisto\nJesse Haapoja\, Aalto-yliopisto \nID 616 – Cultural filter bubbles? The effect of personalized recommendations on cultural diversity and inequalities on a music streaming platform\nSamuel Coavoux\, Institut Polytechnique de Paris \nID 195 – Adapting the Futures Cone for platformised human-AI feedback loops found in FemTech apps\nJennifer Pybus\, York University\nPushpi Bagchi\, Edinburgh Futures Institute\nAdam Jenkins\, King’s College London \nID 711 – Algorithmic Medias Res: A Longitudinal Study of Platformised Consumption on YouTube\nIlir Rama\, Università degli Studi di Milano Statale\nAndrea Russo\, Università di Pavia \nID 832 – Technoscience of cultural taste\nRobert Bobnič\, Univerza v Ljubljani
URL:https://stsitalia.org/event/panel-23-session-2/
LOCATION:Room B5.1
CATEGORIES:Artificial Intelligence (AI),consumer culture,feedback loop,platformization,recommendation systems
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DTSTART;TZID=Europe/Rome:20250611T143000
DTEND;TZID=Europe/Rome:20250611T163000
DTSTAMP:20260418T212028
CREATED:20250511T124003Z
LAST-MODIFIED:20250530T110119Z
UID:229233-1749652200-1749659400@stsitalia.org
SUMMARY:Panel 23. Human-AI feedback Loops in Platformized Consumption – Session 1
DESCRIPTION:Convenors\nMassimo Airoldi\, Università degli Studi di Milano\nAlessandro Caliandro\, Università di Pavia\nAlessandro Gandini\, Università degli Studi di Milano\nGabriella Punziano\, Università di Napoli\, Federico II \nSee Panels and Abstracts Details \nID 660 – Exploring Feedback Loops with the Lens of Autonomy\nMinna Ruckenstein\, Helsingin yliopisto \nID 461 – User Autonomy in Human-AI Feedback Loops: A Study of the Rednote Platform\nYiran Gao\, University of Illinois at Urbana-Champaign \nID 534 – The sanitisation of data in AI-driven market research\nLaura Bruschi\, Università degli Studi di Milano Statale \nID 231 – The Scope of Algorithmic Fairness and What Lies Beyond: On the Sociotechnical Affordances of Recommender Systems\nBernhard Wieser\, Technische Universität Graz \nID 675 – When feedback fails: broken loops in insurance and healthcare\nMaiju Tanninen\, KU Leuven \nID 577 – “Where Every Need Has Been Anticipated”: An Antidichotomic Account of Digital Habits and Algorithmic Prediction\nSimone Bernardi Della Rosa\, Università del Molise
URL:https://stsitalia.org/event/panel-23-session-1/
LOCATION:Room B5.1
CATEGORIES:Artificial Intelligence (AI),consumer culture,feedback loop,platformization,recommendation systems
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