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 Digital sanctions won’t solve the problem of war propaganda online. Robust platform regulations will European officials urged Big Tech to ban Kremlin-related accounts in the effort to tackle the propaganda online, as the Internet – and particularly the social media – became an important front of Russian invasion on Ukraine. But such “digital sanctions” are just a Band-Aid on a bullet wound. Yet… 14.03.2022 Text Article Monologue of the Algorithm: how Facebook turns users data into its profit. Video explained Does Facebook identify and manipulate your feelings? Is it able to recognize your personality type, habits, interests, political views, level of income? Does it use all the information in order to reach you with personalized ads or sponsored content? You bet! 13.01.2018 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
