Tom Sühr
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POLICING PLATFORMS: ADDRESSING POWER AND INEQUALITIES IN PLATFORM POLICIES Open
Social media platforms had for a long time successfully positioned themselves in the “sweet spot” between beneficial legislative protections and a remarkable absence of obligations (Gillespie 2010: 348), yielding little need to take direct…
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring Open
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undes…
The Platform Governance Archive (PGA) Open
The Platform Governance Archive (PGA) is a data repository and platform that collects and curates policies of major social media platforms in a long-term perspective. When have YouTube and Instagram introduced hate speech policies? How hav…
A Note on the Significance Adjustment for FA*IR with Two Protected Groups Open
In this report we provide an improvement of the significance adjustment from the FA*IR algorithm of Zehlike et al., which did not work for very short rankings in combination with a low minimum proportion $p$ for the protected group. We sho…
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets Open
Ride hailing platforms, such as Uber, Lyft, Ola or DiDi, have traditionally focused on the satisfaction of the passengers, or on boosting successful business transactions. However, recent studies provide a multitude of reasons to worry abo…