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ALEX SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 ALEX project word cloud

Explore the words cloud of the ALEX project. It provides you a very rough idea of what is the project "ALEX" about.

words    unmasking    silently    auditing    pursue    consumption    industry    monitor    practices    infringe    analyze    someone    publicly    restricting    launch    analyzing    scandal    cambridge    experiments    profile    rumors    scalable    web    inaccessible    shape    hardly    browser    algorithms    few    news    forging    consultancy    facebook    goals    alex    patterns    media    feed    models    software    analytica    uses    individual    filtering    prototype    empowerment    alpha    realitycheck    sharing    spin    opinions    citizen    proprietary    off    google    feasibility    fbtrex    ultimately    social    personalization    audit    tool    exposed    algorithmic    agency    customized    literacy    basis    content    platform    companies    platforms    modules    core    stabilization    outcomes    rely    activism    organization    seat    themselves    driver    biases    possibilities    service    twitter    put    mediate    adapting    functioning    diets    expert    extension    business    fail    data    questionable    release    version    building    tracking    sustainability   

Project "ALEX" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT VAN AMSTERDAM 

Organization address
address: SPUI 21
city: AMSTERDAM
postcode: 1012WX
website: www.uva.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 149˙922 €
 EC max contribution 149˙922 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-PoC
 Funding Scheme ERC-POC
 Starting year 2018
 Duration (year-month-day) from 2018-12-01   to  2020-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT VAN AMSTERDAM NL (AMSTERDAM) coordinator 149˙922.00

Map

 Project objective

Personalization algorithms—filtering content on the basis of someone's profile—increasingly mediate the web experience of users. By forging a specific reality for each individual, they silently shape customized 'information diets': in other words, they determine which news, opinions and rumors users are exposed to. Restricting users’ possibilities, they ultimately infringe on their agency. As exposed by the recent Cambridge Analytica scandal, they are supported by questionable data sharing practices at the core of the business models of the social media industry. Yet, personalization algorithms are proprietary and thus remain inaccessible to end users. The few experiments auditing these algorithms rely on data provided by platform companies themselves. They are highly technical, hardly scalable, and fail to put social media users in the driver seat. The ALgorithms EXposed (ALEX) project aims at unmasking the functioning of personalization algorithms on social media platforms, taking Facebook as a test case. It is 'data activism' in practice, as it uses publicly available data for awareness raising and citizen empowerment. ALEX will pursue five goals: 1) software development and stabilization, building on the alpha version of facebook.tracking.exposed (fbtrex), a working prototype of a browser extension analyzing the outcomes of Facebook's News Feed algorithms; 2) the release of two spin-off products building on fbtrex, namely AudIT, enabling researchers to do expert analysis on algorithmic biases, and RealityCheck, allowing users to monitor their own social media consumption patterns; 3) testing the technical feasibility of adapting the ALEX approach to analyze algorithmic personalization on other platforms such as Twitter and Google; 4) the design and organization of data literacy modules on algorithmic personalization, and 5) the launch of a consultancy service to promote tool take-up and the future sustainability of the project.

 Publications

year authors and title journal last update
List of publications.
2020 Nina Altmaier, Davide Beraldo, Maria Castaldo, Daniel Jurg, Salvatore Romano, Matteo Renoldi, Tatiana Smirnova, Natacha Seweryn, Luukas Veivo
YouTube Tracking Exposed: Investigating polarization via YouTube ’s Recommender Systems
published pages: , ISSN: , DOI:
Digital Methods Winter School 2020 Proceedings 2020-03-05
2020 Deirdre Murphy, Margaux Reynders, Joana Stockmeyer, Romane Donadini
Is Amazon.com the Same Everywhere? A Regional Comparison of Product Diversity on Amazon.com in California and Missouri.
published pages: , ISSN: , DOI:
Digital Methods Winter School 2020 Proceedings 2020-03-05
2020 Nicol Cheung, Paul Dunshirn, Qianyu Feng, Ziyi Liu, Josh McDonald, Bryan Steffen, Zoe Tang
Does Amazon know your wealth? Tracking perceived purchase power and algorithmic bias on Amazon.com
published pages: , ISSN: , DOI:
Digital Methods Winter School 2020 Proceedings 2020-03-05
2020 Alicja Zak, Elise Olthof, Dimitri Koehorst, Ola Bonati, Zdzich Heydel, Aymann Khatib
Amazon’s Choice. An inquiry into Amazon’s Algorithms
published pages: , ISSN: , DOI:
Digital Methods Winder School 2020 Proceedings 2020-03-05
2020 Urbano Reviglio, Claudio Agosti
Thinking Outside the Black-Box: The Case for ‘Algorithmic Sovereignty’ in Social Media
published pages: , ISSN: 2056-3051, DOI:
Social Media + Society 2020 2020-03-05
2020 Hailey Beaman, Tommaso Campagna, Aikaterini Mniestri, Giovanni Rossetti, Xiao Wang, Romain Durand
Tracking Gender Bias in Amazon Search Results. Ingrained biases & algorithmic complexities
published pages: , ISSN: , DOI:
Digital Methods Winter School 2020 Proceedings 2020-03-05
2020 Cem Akca, Alexander Bernevega, Shivani Gore, Boy Singmanee & Yonathan Tesfai
Choose Your Price: Windows 10 vs. macOS. Examining price discrimination among dierent operating systems
published pages: , ISSN: , DOI:
Digital Methods Winter School 2020 Proceedings 2020-03-05
2019 Davide Beraldo, Stefania Milan
From data politics to the contentious politics of data
published pages: 205395171988596, ISSN: 2053-9517, DOI: 10.1177/2053951719885967
Big Data & Society 6/2 2019-11-22
2019 Jeroen de Vos
Spotting Sharks: ALEX’s Competitor analysis
published pages: , ISSN: 2666-0733, DOI:
DATACTIVE Working Paper Series 2/2019 2019-10-29
2019 Stefania Milan, Claudio Agosti
Personalisation algorithms and elections: breaking free of the filter bubble
published pages: , ISSN: , DOI:
Internet Policy Review: Journal of Internet Regulation 2019-10-29
2019 Davide Beraldo
Does Facebook’s NewsFeed Algorithm Reinforce Filter Bubbles? An Experimental Methodology Using fbtrex
published pages: , ISSN: , DOI:
ALEX Working Paper Series 1/2019 2019-10-29
2019 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
Algorithms exposed: Investigating Youtube personalization with yTREX
published pages: , ISSN: , DOI:
Digital Methods Summer School 2019 2019-10-29
2019 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
Facebook Algorithm Exposed. Or, how to keep your bot alive
published pages: , ISSN: , DOI:
Digital Methods Winter School and Data Sprint 2019 2019-10-29

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The information about "ALEX" are provided by the European Opendata Portal: CORDIS opendata.

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