Article 11.05.2023 1 min. read Text We found an essential mistake in the Polish official translation of the Article 27 of Digital Services Act: Recommender system transparency 1. Providers of online platforms that use recommender systems shall set out in their terms and conditions, in plain and intelligible language, the main parameters used in their recommender systems, as well as any options for the recipients of the service to modify or influence those main parameters. Polish translation narrows the application of this article to very large online platforms (VLOPs). Indeed, during legislative works the article was previously considered to apply to VLOPs, however in the course of the negotiations it was changed and in the final, approved version of the art. Article 27 applies to all online platforms. The mistake in the Polish translation should be corrected as soon as possible. Otherwise it may cause some stir on the Polish market (one of the biggest in the European Union), as some companies with millions of users may believe that obligations regarding the transparency of recommender system do not apply to them – while in fact they do. All language versions of the act Fundacja Panoptykon Author Topic algorithms Previous Next See also Article Can the EU Digital Services Act contest the power of Big Tech’s algorithms? A progressive report on the Digital Services Act (DSA) adopted by the Committee on Civil Liberties, Justice and Home Affairs (LIBE) in the European Parliament in July is the first major improvement of the draft law presented by the European Commission in December. MEPs expressed support for default… 03.08.2021 Text Article Three layers of your digital profile Your online profile is not always built on facts. It is shaped by technology companies and advertisers who make key decisions based on their interpretation of seemingly benign data points: what movies you choose watch, the time of day you tweet, or how long you take to click on a cat video. 18.03.2019 Text Report Algorithms of trauma: new case study shows that Facebook doesn’t give users real control over disturbing surveillance ads A case study examined by Panoptykon Foundation and showcased by the Financial Times, demonstrates how Facebook uses algorithms to deliver personalised ads that may exploit users’ mental vulnerabilities. The experiment shows that users are unable to get rid of disturbing content: disabling sensitive… 28.09.2021 Text
