26 citations
- Technische Universität BerlinDE11 papers
- Humboldt-Universität zu BerlinDE8 papers
- Freie Universität BerlinDE4 papers
- KU LeuvenBE3 papers
- Fraunhofer Institute for Open Communication SystemsDE2 papers
- George Mason UniversityUS2 papers
- HAW HamburgDE2 papers
- Heilbronn UniversityDE2 papers
- Technical University of MunichDE2 papers
- Zuse Institute BerlinDE2 papers
- Art Institutes International MinnesotaUS1 paper
- Boston UniversityUS1 paper
6 papers · 1 filter
AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act
Marie-Therese Sekwenz, Shreyan Biswas, Rita Hermann-Gsenger +1
Illegal content reporting mechanisms are a key technical and organizational measure through which online platforms address illegal content under the European Union Digital Services…
Beyond Content Exposure: Systemic Factors Driving Moderators' Mental Health Crisis in Africa
Nuredin Ali Abdelkadir, Tianling Yang, Shivani Kapania +6
Content moderators review disturbing content to protect social media users, often at significant cost to their mental health. Recent reports document the mental health conditions o…
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…
Human-AI Co-Creativity: Exploring Synergies Across Levels of Creative Collaboration
Jennifer Haase, Sebastian Pokutta
Human-AI co-creativity represents a transformative shift in how humans and generative AI tools collaborate in creative processes. This chapter explores the synergies between human…
Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision
Milagros Miceli, Martin Schuessler, Tianling Yang
The interpretation of data is fundamental to machine learning. This paper investigates practices of image data annotation as performed in industrial contexts. We define data annota…
Minimalistic Explanations: Capturing the Essence of Decisions
Martin Schuessler, Philipp Weiß
The use of complex machine learning models can make systems opaque to users. Machine learning research proposes the use of post-hoc explanations. However, it is unclear if they giv…