activity
20242026
most citedLost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations

16 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation

Dimitri Staufer, David Hartmann, Ibrahim Baroud

Person names are widely used as prompt variables in LLM evaluations of factuality, privacy leakage, bias and abstention, but when a name's evidential status is uncontrolled, measur…

cs.CL2026

Bye Bye Perspective API: Lessons for Building and Governing Measurement Infrastructure

David Hartmann, Manuel Tonneau, Angelie Kraft +7

Perspective API closes at the end of 2026, removing the de facto standard for toxicity measurement and exposing researchers' dependence on a tool they did not control. Drawing on t…

cs.HC2026

Human-Centred LLM Privacy Audits: Findings and Frictions

Dimitri Staufer, Kirsten Morehouse, David Hartmann +1

Large language models (LLMs) learn statistical associations from massive training corpora and user interactions, and deployed systems can surface or infer information about individ…

cs.HC2025★ 16 cited

Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations

David Hartmann, Amin Oueslati, Dimitri Staufer +3

Commercial content moderation APIs are marketed as scalable solutions to combat online hate speech. However, the reliance on these APIs risks both silencing legitimate speech, call…

cs.CY2024

Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services

David Hartmann, Amin Oueslati, Dimitri Staufer

Online platforms face the challenge of moderating an ever-increasing volume of content, including harmful hate speech. In the absence of clear legal definitions and a lack of trans…