Extremism på digitala plattformar : En kvalitativ studie av TikToks rekommendationsalgoritm

Detta är en Kandidat-uppsats från Högskolan i Halmstad/Akademin för informationsteknologi

Författare: Johanna Kahlqvist; Ebba Falk; [2022]

Nyckelord: ;

Sammanfattning: The threat of violent extremism is considered by authorities as one of the largest today. Political extremism has increased over the years and the number of politically motivated terrorist incidents in the Western world is higher than religiously motivated. The role of digital platforms when it comes to recruitment and radicalization is widely debated. This study specifically examines TikTok which is one of the fastest growing and leading digital platforms. TikTok's recommendation system differs from other social media by being the main product for the platform. Experiments show how TikTok's algorithms recommend hateful content exponentially, and that the different types of hateful content that are examined have a high correlation to one another. In some cases, extremist content was also recommended. Furthermore, it is stated that TikTok does not take enough action when videos and/or profiles are being reported for hateful and/or extremist content. The literature study also showed that the Swedish Police Authority's handling of hate crimes on the Internet is insufficient despite pressure to improve from the government.

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