Zusammenfassung
Die Bedeutung des Umgangs mit Fake News hat sowohl im politischen als auch im sozialen Kontext zugenommen: Während sich bestehende Studien vor allem darauf konzentrieren, wie man gefälschte Nachrichten erkennt und kennzeichnet, fehlen Ansätze zur Unterstützung der NutzerInnen bei der eigenen Einschätzung weitgehend. Dieser Artikel stellt bestehende Black-Box- und White-Box-Ansätze vor und vergleicht Vor- und Nachteile. Dabei zeigen sich White-Box-Ansätze insbesondere als vielversprechend, um gegen Reaktanzen zu wirken, während Black-Box-Ansätze Fake News mit deutlich größerer Genauigkeit detektieren. Vorgestellt wird auch das von uns entwickelte Browser-Plugin TrustyTweet, welches die BenutzerInnen bei der Bewertung von Tweets auf Twitter unterstützt, indem es politisch neutrale und intuitive Warnungen anzeigt, ohne Reaktanz zu erzeugen.
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Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) – SFB 1119 – 236615297 (CROSSING) sowie vom Bundesministerium für Bildung und Forschung (BMBF) und vom Hessischen Ministerium für Wissenschaft und Kunst (HMWK) im Rahmen ihrer gemeinsamen Förderung für das Nationale Forschungszentrum für angewandte Cybersicherheit ATHENE.
Dieser Artikel basiert in Teilen auf dem Artikel „Fake News Perception in Germany: A Representative Study of People’s Attitudes and Approaches to Counteract Disinformation“ (Reuter et al. 2019) sowie „TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter“ (Hartwig und Reuter 2019). Überdies basiert er in Teilen auf dem Konferenzbeitrag „Countering Fake News: A Comparison of Possible Solutions Regarding User Acceptance and Effectiveness“ (Kirchner und Reuter 2020). Wir bedanken uns bei Jan Kirchner für seine Unterstützung.
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Hartwig, K., Reuter, C. (2021). Fake News technisch begegnen – Detektions- und Behandlungsansätze zur Unterstützung von NutzerInnen. In: Klimczak, P., Zoglauer, T. (eds) Wahrheit und Fake im postfaktisch-digitalen Zeitalter. ars digitalis. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-32957-0_7
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