The concept of data justice has been used to denote a shift in understanding of what is at stake with datafication beyond digital rights. This essay speaks to different interpretations of the substance of data justice (ontology), who it applies to (scope), and how it should be upheld (procedure).
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Recommendation algorithms potentially amplifying extremist content has become a policy concern in recent years. We conduct a novel empirical experiment on three platforms (YouTube, Reddit, and Gab) to test this phenomenon. We find that YouTube’s “Recommended for you” system does promote extreme content. We synthesise the findings into the policy
This article proposes the concept of platform observability to help systematically study complex algorithmic systems. It sets out three broad principles as guidelines for making platforms more accountable.
Algorithmic processing of personal data is challenging the role of consent. Which are the necessary adaptations to maintain this important tool in data protection regulation?
This paper analyses the aftermath of the advertiser revolt on YouTube to draw out the broader implications of the controversy as it relates to the algorithmic gatekeeping of culture. It argues that the event shows as never before that decisions about categorisation and classification of cultural content invariably affect the financial trajectory
Algorithms are hidden everywhere in our daily lives. They regulate us, in a sense. How can we, then, take part in the governance by algorithms?
