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 Anxious about your health? Facebook won’t let you forget There is little point in telling Facebook which posts you do not want to see – it will not listen. 07.12.2023 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
