This analysis uncovers algorithmic bias in social media, suggesting implications for privacy and public opinion.
This article attempts to answer the question, 'Are algorithms neutral in digitally mediated environments, particularly social media networks?' By using the digital platform as a sort of place emergent for content sorting and directing, the paper will use social media algorithms as an example of the multiple forms of algorithmic bias. I will attempt to introduce notions of 'alienated/viewed bias' meaning an algorithm privileges some opinions or interests over others, while also considering the 'hidden bias' of users who can't see any bias towards their own opinions. In the conclusion, I will discuss alternate ways of thinking about algorithmic bias in terms of the nature of bias itself, as well as the implications of that bias regarding privacy, transparency, forming public opinion and shaping online behavior.
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Dahmar et al. (2025) studied this question.
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