Algorithm Bias: The Reality of Black Users on TikTok

[10 Minute Lightning Talk]

There is a growing concern about fairness and representation in social media, particularly on TikTok. With the rise of this platform among ‘Gen Z’, it is necessary to understand how algorithmic biases might influence what content is seen and by whom. In my recent work, I conducted an analysis of how TikTok’s algorithms influence the experiences of Black Gen Z users. By performing controlled simulations, I compared the types of content shown to two profiles of one representing a Black user and the other representing a user from a different racial background and mapped out how algorithmic biases influence the types of content each profile is exposed to. In addition, I also spoke directly with Black content creators to hear about their personal experiences with their visibility, engagement, and overall platform interaction. Join me as I share these findings, offering a closer look at how these biases impact black users and why it is important for us to create digital spaces that truly serves everyone.

About the speaker:

Inemesit Emmanuel is currently based in London and graduated with a Master’s in Human-Computer Interaction Design from City, University of London in 2023. Prior to this, Inemesit completed an undergraduate degree in Computer Science at the University of East London which laid a solid technical foundation and sparked a keen interest in user-technology interactions. She is currently working at City Interaction Lab, where she has been collaborating with the Interaction Lab Manager and City, University of London web team on a comprehensive redesign of the university’s website. Her role focuses on enhancing the online experience to be more intuitive and engaging for both current and prospective students.