We are excited to announce the Call for Abstracts for the upcoming 10th STS Italia Conference “Technoscience for Good: Designing, Caring and Reconfiguring” which will be held on 11-13 June 2025 at the Politecnico di Milano, Milan (Italy) – ( https://stsitalia.org/news/10th-sts-italia-conference-technoscience-for-good...). In particular, we invite you to submit an abstract to our panel: *Human-AI feedback loops in platformized consumption* (Convenors: Massimo Airoldi, Alessandro Gandini, Gabriella Punziano & Alessandro Caliandro) (further details here: https://stsitalia.org/wp-content/uploads/2024/12/23.Human-AI-feedback-loops-...). The panel encourages the study of platformized human-AI interactions in light of the notion of ‘*feedback loop*’. From a cybernetic perspective, feedback mechanisms make learning possible to both humans and machines. When platform users and recommender systems interact, feedback-based learning regularly happens both ways: on the one hand, AI recommendations expose users to selections of content they “may also like”, orchestrating their digital consumption habits; on the other, based on users’ datafied behaviour, machine learning systems iteratively update their parameters, aiming to better anticipate future consumption desires. Focusing on this complex phenomenon, the panel tries to address some key questions, such as: *What are the effects of human-AI feedback loops on platformized consumption and “consumer culture” more broadly?* *How does the accelerated temporality of online content consumption habits intersect with the predictive habits (and habitus) of machines? In what ways can we trace and interpret the recursive interactions between the users of TikTok, Instagram, YouTube or Spotify, and the opaque recommender algorithms at work within such data-intensive infrastructures?* Contributions may cover, from both a theoretical and methodological perspective, the following topics (but are not limited to): · feedback loops, AI recommendations and the platformization of consumer culture; · the interplay between platform personalization and (more-than-human) habits; · how feedback loops vary across social categories and platformized cultures; · market infrastructures and the engineering of feedback loops; · platform-based feedback loops in music streaming and cultural consumption; · cross-platform analyses of human-AI feedback loops; · innovative methodological solutions in the study of platformized consumption. Abstracts (500 words max) are due by February 3, 2025. Further information about the submission process and key deadlines can be found here: https://stsitalia.org/call-for-abstracts/ We look forward to receiving your contributions and seeing you in Milano! Best Wishes Massimo Airoldi, Alessandro Gandini, Gabriella Punziano, Alessandro Caliandro -- -------------------------------------------------------------------------------------------- Alessandro Caliandro Associate Professor in Sociology of Culture and Communication Researcher V-DATA project (Surveillance Capitalism in Italy): https://vdataresearch.com/ Research Stream 3 Leader of ACTIVE-IT: https://ageingsocieties.unimib.it/active-it/ Member of Ageing Societies: https://ageingsocieties.unimib.it/ Università degli Studi di Pavia Dipartimento di Scienze Politiche e Sociali Strada Nuova 65 27100 Pavia phone: 0382 984325 e-mail: alessandro.caliandro@unipv.it Alessandro Caliandro's Personal Meeting Room (ZOOM) https://us02web.zoom.us/j/8629741587 *If you please, check out my most recent publications ; ) * Caliandro, A., Gandini, A., Bainotti, L., & Anselmi, G. (2024). The Platformization of Consumer Culture: A Digital Methods Guide. Amsterdam University Press [OPEN ACCESS]. https://library.oapen.org/handle/20.500.12657/90094 Caliandro, A., Gandini, A., Bainotti, L., & Anselmi, G. (2024). The platformization of consumer culture: A theoretical framework. *Marketing Theory*, https://journals.sagepub.com/doi/10.1177/14705931231225537