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dc.contributor.advisorYamashita, Aiko
dc.contributor.authorPathak, Ananta
dc.date.accessioned2021-12-01T12:00:42Z
dc.date.available2021-12-01T12:00:42Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/11250/2832345
dc.description.abstractThe purpose of this thesis is to find out the effect of such AI algorithms used in social media like TikTok on the mental health/wellbeing of Norwegian children and young adults. To answer our research questions, we used a systematic literature review (SLR) approach. After analyzing all the 36 studies in a systematic literature review, We concluded with a hypothesis that AI algorithms might negatively affect the mental well-being and mental health of young and teenage users who are addicted to social media like TikTok in the form of anxiety, depression, lower self-esteem while, the reasons behind those problems are body image dissatisfaction, cyberbullying, fear of missing out, stranger danger, social isolation, social comparison, and being disconnected from social media.en_US
dc.language.isoengen_US
dc.publisherOsloMet - storbyuniversiteteten_US
dc.relation.ispartofseriesACIT;2021
dc.subjectArtificial intelligenceen_US
dc.subjectAlgorithmsen_US
dc.subjectSocial mediaen_US
dc.subjectMental healthen_US
dc.subjectWellbeingen_US
dc.titleDissecting social media and TikTok for children and young adultsen_US
dc.typeMaster thesisen_US
dc.description.versionpublishedVersionen_US


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