output
20192026
most citedBetween Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision

26 citations

Showing 2025Show all

7 papers · 1 filter

cs.CY2025★ 2 cited

Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency

Jan Batzner, Volker Stocker, Bingjun Tang +4

Synthetic personae experiments have become a prominent method in Large Language Model alignment research, yet the representativeness and ecological validity of these personae vary…

cs.CY2025★ 5 cited

Analysis and Constructive Criticism of the Official Data Protection Impact Assessment of the German Corona-Warn-App

Rainer Rehak, Christian R. Kühne, Kirsten Bock

On June 15, 2020, the official data protection impact assessment (DPIA) for the German Corona-Warn-App (CWA) was made publicly available. Shortly thereafter, the app was made avail…

cs.SI2025★ 4 cited

Exploring temporal dynamics in digital trace data: mining user-sequences for communication research

Yangliu Fan, Jakob Ohme, Lion Wedel

Communication is commonly considered a process that is dynamically situated in a temporal context. However, there remains a disconnection between such theoretical dynamicality and…

cs.CY2025★ 2 cited

The Processing goes far beyond "the app" -- Privacy issues of decentralized Digital Contact Tracing using the example of the German Corona-Warn-App (CWA)

Rainer Rehak, Christian R. Kuehne

Since SARS-CoV-2 started spreading in Europe in early 2020, there has been a strong call for technical solutions to combat or contain the pandemic, with contact tracing apps at the…

cs.CY2025

On the (im)possibility of sustainable artificial intelligence. Why it does not make sense to move faster when heading the wrong way

Rainer Rehak

Artificial intelligence (AI) is currently considered a sustainability "game-changer" within and outside of academia. In order to discuss sustainable AI this article draws from insi…

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…