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

Project Information

ALEX

Grant agreement ID: 825974

DOI 10.3030/825974

Project closed

EC signature date 19 November 2018

Start date 1 December 2018

End date 29 February 2020

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 149 922,00

EU contribution € 149 922,00

Coordinated by

UNIVERSITEIT VAN AMSTERDAM
Netherlands

Publications

Non-peer reviewed articles (1)

Personalisation algorithms and elections: breaking free of the filter bubble

Author(s): Stefania Milan, Claudio Agosti
Published in: Internet Policy Review: Journal of Internet Regulation, 2019, ISSN 2197-6775
Publisher: Alexander von Humboldt Center for Internet and Society

Other (4)

Spotting Sharks: ALEX’s Competitor analysis

Author(s): Jeroen de Vos
Published in: DATACTIVE Working Paper Series, Issue 2/2019, 2019, ISSN 2666-0733
Publisher: DATACTIVE/University of Amsterdam

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

Author(s): Davide Beraldo
Published in: ALEX Working Paper Series 1/2019, Issue 1/2019, 2019
Publisher: DATACTIVE/University of Amsterdam

Lesbrief 'Online Contentmanipulatie'

Author(s): SETUP, INFORMATICA-Actief
Published in: 2020
Publisher: Stichting INFORMATICA-Actief

Report: Algorithms Exposed Design Workshop

Author(s): SimplySecure
Published in: 2020
Publisher: SimplySecure

Conference proceedings (8)

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

Author(s): 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
Published in: Digital Methods Winter School and Data Sprint 2019 Proceedings, 2019
Publisher: Digital Methods Initiative/University of Amsterdam

Algorithms exposed: Investigating Youtube personalization with yTREX

Author(s): 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
Published in: Digital Methods Summer School 2019 Proceedings, 2019
Publisher: 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.

Author(s): Deirdre Murphy, Margaux Reynders, Joana Stockmeyer, Romane Donadini
Published in: Digital Methods Winter School 2020 Proceedings, 2020
Publisher: Digital Methods Initiative, University of Amsterdam

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

Author(s): Cem Akca, Alexander Bernevega, Shivani Gore, Boy Singmanee & Yonathan Tesfai
Published in: Digital Methods Winter School 2020 Proceedings, 2020
Publisher: Digital Methods Initiative, University of Amsterdam

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

Author(s): Hailey Beaman, Tommaso Campagna, Aikaterini Mniestri, Giovanni Rossetti, Xiao Wang, Romain Durand
Published in: Digital Methods Winter School 2020 Proceedings, 2020
Publisher: Digital Methods Initiative, University of Amsterdam

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

Author(s): Nicol Cheung, Paul Dunshirn, Qianyu Feng, Ziyi Liu, Josh McDonald, Bryan Steffen, Zoe Tang
Published in: Digital Methods Winter School 2020 Proceedings, 2020
Publisher: Digital Methods Initiative, University of Amsterdam

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

Author(s): Alicja Zak, Elise Olthof, Dimitri Koehorst, Ola Bonati, Zdzich Heydel, Aymann Khatib
Published in: Digital Methods Winder School 2020 Proceedings, 2020
Publisher: Digital Methods Initiative, University of Amsterdam

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

Author(s): Nina Altmaier, Davide Beraldo, Maria Castaldo, Daniel Jurg, Salvatore Romano, Matteo Renoldi, Tatiana Smirnova, Natacha Seweryn, Luukas Veivo
Published in: Digital Methods Winter School 2020 Proceedings, 2020
Publisher: Digital Methods Initiative, University of Amsterdam

Peer reviewed articles (2)

From data politics to the contentious politics of data

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

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

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