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ALgorithms EXposed. Investigating Automated Personalization and Filtering for Research and Activism

Pubblicazioni

Personalisation algorithms and elections: breaking free of the filter bubble

Autori: Stefania Milan, Claudio Agosti
Pubblicato in: Internet Policy Review: Journal of Internet Regulation, 2019, ISSN 2197-6775
Editore: Alexander von Humboldt Center for Internet and Society

Spotting Sharks: ALEX’s Competitor analysis

Autori: Jeroen de Vos
Pubblicato in: DATACTIVE Working Paper Series, Issue 2/2019, 2019, ISSN 2666-0733
Editore: DATACTIVE/University of Amsterdam

Does Facebook’s NewsFeed Algorithm Reinforce Filter Bubbles? An Experimental Methodology Using fbtrex

Autori: Davide Beraldo
Pubblicato in: ALEX Working Paper Series 1/2019, Issue 1/2019, 2019
Editore: DATACTIVE/University of Amsterdam

Lesbrief 'Online Contentmanipulatie'

Autori: SETUP, INFORMATICA-Actief
Pubblicato in: 2020
Editore: Stichting INFORMATICA-Actief

Report: Algorithms Exposed Design Workshop

Autori: SimplySecure
Pubblicato in: 2020
Editore: SimplySecure

Facebook Algorithm Exposed. Or, how to keep your bot alive

Autori: Giovanni Rossetti, Bilel Benbouzid, Davide Beraldo, Giulia Corona, Leonardo Sanna, Iain Emsley, Fatma Yalgin, Hannah Vischer, Victor Pak, Mathilde Simon, Victor Bouwmeester, Yao Chen, Sophia Melanson, Hanna Jemmer, Patrick Kapsch, Claudio Agosti, Jeroen de Vos
Pubblicato in: Digital Methods Winter School and Data Sprint 2019 Proceedings, 2019
Editore: Digital Methods Initiative/University of Amsterdam

Algorithms exposed: Investigating Youtube personalization with yTREX

Autori: Claudio Agosti, Davide Beraldo, Stefano Calzati, Zoé Charpentier, SeongIn Choi, Luca Del Fabbro, Anja Groten, Concetta La Mattina, Salvatore Romano, Giovanni Rossetti, Laura Swietlicki, Jeroen de Vos
Pubblicato in: Digital Methods Summer School 2019 Proceedings, 2019
Editore: Digital Methods Initiative/University of Amsterdam

Is Amazon.com the Same Everywhere? A Regional Comparison of Product Diversity on Amazon.com in California and Missouri.

Autori: Deirdre Murphy, Margaux Reynders, Joana Stockmeyer, Romane Donadini
Pubblicato in: Digital Methods Winter School 2020 Proceedings, 2020
Editore: Digital Methods Initiative, University of Amsterdam

Choose Your Price: Windows 10 vs. macOS. Examining price discrimination among dierent operating systems

Autori: Cem Akca, Alexander Bernevega, Shivani Gore, Boy Singmanee & Yonathan Tesfai
Pubblicato in: Digital Methods Winter School 2020 Proceedings, 2020
Editore: Digital Methods Initiative, University of Amsterdam

Tracking Gender Bias in Amazon Search Results. Ingrained biases & algorithmic complexities

Autori: Hailey Beaman, Tommaso Campagna, Aikaterini Mniestri, Giovanni Rossetti, Xiao Wang, Romain Durand
Pubblicato in: Digital Methods Winter School 2020 Proceedings, 2020
Editore: Digital Methods Initiative, University of Amsterdam

Does Amazon know your wealth? Tracking perceived purchase power and algorithmic bias on Amazon.com

Autori: Nicol Cheung, Paul Dunshirn, Qianyu Feng, Ziyi Liu, Josh McDonald, Bryan Steffen, Zoe Tang
Pubblicato in: Digital Methods Winter School 2020 Proceedings, 2020
Editore: Digital Methods Initiative, University of Amsterdam

Amazon’s Choice. An inquiry into Amazon’s Algorithms

Autori: Alicja Zak, Elise Olthof, Dimitri Koehorst, Ola Bonati, Zdzich Heydel, Aymann Khatib
Pubblicato in: Digital Methods Winder School 2020 Proceedings, 2020
Editore: Digital Methods Initiative, University of Amsterdam

YouTube Tracking Exposed: Investigating polarization via YouTube ’s Recommender Systems

Autori: Nina Altmaier, Davide Beraldo, Maria Castaldo, Daniel Jurg, Salvatore Romano, Matteo Renoldi, Tatiana Smirnova, Natacha Seweryn, Luukas Veivo
Pubblicato in: Digital Methods Winter School 2020 Proceedings, 2020
Editore: Digital Methods Initiative, University of Amsterdam

From data politics to the contentious politics of data

Autori: Davide Beraldo, Stefania Milan
Pubblicato in: Big Data & Society, Issue 6/2, 2019, Page(s) 205395171988596, ISSN 2053-9517
Editore: Sage
DOI: 10.1177/2053951719885967

Thinking Outside the Black-Box: The Case for “Algorithmic Sovereignty” in Social Media

Autori: Urbano Reviglio, Claudio Agosti
Pubblicato in: Social Media + Society, Issue 6/2, 2020, Page(s) 205630512091561, ISSN 2056-3051
Editore: Sage
DOI: 10.1177/2056305120915613

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