pilot media literacy training on personalisation algorithms

Algorithms Exposed partnered with Medialab SETUP and KOisNieuwgierig to develop a media literacy training module devoted to educating high school pupels in personalisation algorithms and its politics. It draws on practical excersizes, engaging questions and insights from academic research. It will be piloted soon and is disseminated and embedded by the Dutch Informatica Actief foundation. …

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Algorithms Exposed (ALEX) @MediaLiteracy Challenge

The ‘ALEX’s angels’ team, consisting of a team of five with DATACTIVE, medialab SETUP and user experience designer from ‘KO nieuwsgierig‘, made it to the next round of the MediaDiamond Challenge with their pitch to work on a game for young adults to facilitate critical engagement with social media personalisation algorithms. The game would build on the …

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We are happy to announce the ALEX’s Competitor analysis, published as part of the DATACTIVE Working Paper Series, by Jeroen de Vos: Vos, J. de (2019) “Spotting Sharks: ALEX’s Competitor analysis”, DATACTIVE Working paper series, No 2/2019 ISSN: 2666-0733. (DOWNLOAD THE PAPER HERE) Abstract This paper summarizes the output of the competitor analysis for fbTREX conducted as part of the …

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op-ed: Personalisation algorithms and elections

On February 7, 2019 the Internet Policy Review published an op-ed by Stefania Milan and Claudio Agosti. We reflect on personalization algorithms and elections, and share some ideas about algorithmic sovereignty and literacy. Thanks to Frédéric Dubois for the invitation. “Personalisation algorithms allow platforms to carefully target web content to the tastes and interests of …

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Hell0 w0rld!

Welcome to the web self of the project Algorithms Exposed (AKA ALEX). ALEX is meant to provide researchers, advocates, policymakers and journalists with reliable and accessible algorithmic auditing methods and data. In our view, it empowers users to independently monitor, compare, and reflect upon their information diets. It is innovative because: It puts the user …

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