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In algorithm we trust - (Des-)Information auf Empfehlung?

Neue Studie zum YouTube-Algorithmus: Kaum Desinformation, kaum vertiefende Information

(PresseBox) (München, )
Wie funktionieren Empfehlungen bei YouTube in Krisenzeiten? Werden bei Themen wie „Covid-19-Pandemie“, „Klimawandel“ oder „Flüchtlinge“ desinformierende Videos empfohlen oder ermöglichen die Empfehlungen vertiefend informierte Meinungsbildung? Diese Fragen untersucht die neue Studie „Empfehlungen in Krisenzeiten – Welche Inhalte machen die Empfehlungsalgorithmen von YouTube sichtbar?“ der Medienanstalt Berlin-Brandenburg (mabb), der Senatskanzlei Berlin, der Bayerischen Landeszentrale für neue Medien (BLM), der Landesanstalt für Medien NRW und der Medienanstalt Rheinland-Pfalz. Anhand von systematischen Videoaufrufen wurde im Rahmen der Studie erforscht, inwieweit die nicht personalisierten Empfehlungen von YouTube dazu beitragen, dass Nutzerinnen und Nutzer auf Quellen und Informationen hingewiesen werden, die journalistische Sorgfaltspflichten einhalten und mrg soeyzmgvwfxoxkqong Ngzfruo zivyfpcfvgs emrwcy.

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The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.