ALGOFEED
Feedback culture: assessing the effects of algorithmic recommendations on platformized consumption
The ALGOFEED project aims at understanding and assessing the impact of recommender algorithms on cultural consumption (e.g., music, movies, etc.) within social media platforms in Italy – (with a specific focus on YouTube and TikTok). Specifically, ALGOFEED overarching goal is to shed light on the socio-cultural effects of platform-based feedback loops.
The main research question the project asks is: how does the automated recommendation of content on digital platforms affect users’ individual and collective cultural consumption patterns over time?
As a result, the three main research objectives the ALGOFEED project will achieve are: 1) to produce unique empirical findings about platformized cultural consumption in Italy, 2) to develop a new methodological and theoretical framework for the sociological study of algorithmic consumer culture, and 3) to increase the algorithmic awareness of Italian consumers by engaging in dissemination and impact activities according to a transformative paradigm.
We happily welcome Andrea Russo to the team, as the new postdoc from the University of Pavia. Andrea will join us to help with the analysis of digital data.
Read moreThe ALGOFEED project was at the 6th International Conference on Advanced Research Methods and Analytics (CARMA), focusing on Internet and Big Data in Economics and Social Sciences, and held in Valencia, Spain,...
Read moreThe ALGOFEED project will be at the 6th International Conference on Advanced Research Methods and Analytics, held in Valencia, Spain, 26 – 28 June, 2024. The submission, The Algofeed project....
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