Content Warning Detection - Einzelansicht

Content warnings are often assigned to online content to give vulnerable groups an opportunity to avoid potentially discomforting or distressing content. However, most online content requires the creator to add warning labels, which is often not done. We have previously created a large datasets (300k+) fanfiction stories with warning labels. In this project, we want to develop (one or more) machine learning models that add content warnings automatically. Depending on our success, we might submit the best model to a scientific competition on this dataset.

Time and place will be announced at the project fair.

Abschlusspräsentation und Ausarbeitung

B.Sc. Informatik/ B. Sc. Medieninformatik

M.Sc. Computer Science for Digital Media /Computer Science and Media

M.Sc. Human-Computer Interaction

M.Sc. Digital Engineering