Behavioural influence of TikTok’s algorithm recommendations on users’ engagement and users’ self-persuasion / Siti Khadijah Amir Hamzah, Ahlam Abdul Aziz and Shazleen Mohamed

This study examines how TikTok's algorithm influences user behaviour, particularly in user engagement and self-persuasion. The algorithm recommends content based on user interactions, but its opaque nature complicates understanding of how it prioritizes content and potential biases. These biase...

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Bibliographic Details

Main Authors:	Amir Hamzah, Siti Khadijah, Abdul Aziz, Ahlam, Mohamed, Shazleen
Format:	Article
Language:	en
Published:	Universiti Teknologi Mara Cawangan Pulau Pinang 2025
Subjects:	Pulau Pinang Universiti Teknologi MARA
Online Access:	https://ir.uitm.edu.my/id/eprint/115511/1/115511.pdf https://ir.uitm.edu.my/id/eprint/115511/ https://ejssh.uitm.edu.my
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