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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Hide and seek with algorithm : En intervjustudie av cosplay-kreatörers "folk" teorier i förhållande till TikToks algoritm / Hide and seek with algorithm : An interview study of cosplay creators "folk" theories regarding TikToks algorithm

Reje Franzén, Fanny, Gardelin, Saga January 2021 (has links)
This essay aims to study the relationship between cosplay content creators and TikTok’s algorithm. To study this relationship the essay will conduct a qualitative semi-structured interviews with creators from the cosplay community on TikTok. Since the rise of digital plattforms the media and the role of producer as well as consumer has changed drastically. TikTok has been growing rapidly in popularity since its entry on the market, and by 2020 it had 500 million active users. Since many of today's digital platforms have consumer produced content, the consumer of today has taken on a mixed role between consuming and creating content, which creates a new relationship. The content consumers produce vary vastly on TikTok but one kind that has been present in much of TikTok’s existence is cosplay content. Cosplayers are creators who design costumes to already established characters or franchises. Since a discourse has started in the cosplay community on TikTok about the algorithm suppressing their content the study found it to be a good way to start examining content creators as individuals and how they behave towards an algorithm in their content creation process. The study aims to use algorithmic “folk” theory to examine what theories have been created in the community and how the theories affect the creators. The study also applies gatekeeping theory and social cognitive theory (SCT) to paint a clearer picture in how these creators view the algorithm. Seven interviews with cosplay content creators were conducted and with the help of a thematic analysis method the study found several themes in how the creators view and behave in relation to TikTok and its algorithm. The results of our study shows that there’s a definite present of “folk” theories created inside of the community. The most distinct behaviour relating to “folk” theory among the creators was that they can’t use the hashtag cosplay in the belief that the algorithm would suppress the content. This study concludes that the creators are more aware of the algorithm then they themself know and have different ways of working with and around it.
2

The Algorithm Made Me a Le$bean : Algoritmic "Folk Theory" Within the Lesbian Community on TikTok

Reje Franzén, Fanny January 2022 (has links)
Based on the news coverage published 2020 that exposed practices of censorship and shadowbanning of LGBTQ+ creators implemented with the help of the TikTok algorithm the aim of this thesis was established (Ryan et al., 2020). The thesis analyze communication published on the Reddit forum r/actuallesbians regarding the lesbian community on TikTok to examine if there had been algorithmic “folk theories” created regarding the platform’s algorithm. This was done by performing a qualitative thematic content analysis of posts dedicated to the subject of TikTok’s algorithm and lesbian TikTok creators sourced from the Reddit forum. The data sample collected was 4 Reddit posts and their 116 subsequential comments published by 68 users. This analysis found that there were two main themes present in the user’s algorithmic theories; algorithm as it is and algorithm as you make it. Depending on the individuals’ beliefs regarding the algorithm it also affected their belief on the platforms ability to host a diverse lesbian community. The study found that the community had created opposing “folk theories” regarding the function of the algorithm and to what extent the community could create narratives representing the whole community. Depending on the “folk theory” the users were analyzed to fit into, they exhibited different behaviors and beliefs on how community could be created on the platform.

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