As part of the discussion series »Digiloglounge Digital«, Dr. Michael Färber and Frederic Bartscherer of the KIT research group Web Science talk to Sabine Faller about media consumption and the distortion of news texts by AI.

The Internet is massively changing media consumption and increasingly influencing public opinion.
Considering the large number of news texts published every day, a manual analysis by experts is no longer possible. Our research is therefore concerned with the question on how artificial intelligence can be used to automatically identify biases in news texts and thus reveal, for example, one-sided reporting on people and events.

The event is part of the #digiloglounge discussion series. Once a month, experts from digilog@bw will give an insight into their digital research topics and answer questions in the video livestream!

Dr. Michael Färber is Substitute Professor of the Web Science research group at the Institute for Applied Informatics and Formal Description Methods (AIFB) of the KIT. His research is at the intersection of Natural Language Processing, Machine Learning, and Knowledge Representation and focuses on trustworthy Artificial Intelligence for research and society.

Frederic Bartscherer is doing his PhD at AIFB and researches at the interface of Machine Learning and Knowledge Representation. His research focuses on the design of fair recommendation systems for research and society.

Sabine Faller is a research associate in the department of museum communication at ZKM | Karlsruhe. Her focus is on the conception and implementation of workshops, projects and educational programs in the fields of media art, digital education as well as online learning - currently for the research project »Digitalization in Dialog – digilog@bw«.

Website

The event via live stream

Credits

• Sabine Faller (Moderation)

Organization / Institution

ZKM | Center for Art and Media