In addition to our esteemed keynote speakers Esther Paniagua and Ricardo Baeza-Yates, we will also have the pleasure of presenting Marija Slavkovik and Andreas Bengtsson. The panel discussion will be moderated by Nick Diakopoulos, a researcher at MediaFutures.
We are proud to announce that MediaFutures researchers will present a total of five papers at RecSys ’23, the 17th ACM Conference on Recommendation Systems which will take place in Singapore from September 18-22, 2023.
We have the honour to announce Esther Paniagua as our second keynote speaker for the Annual Meeting 2023. With her outstanding contributions to science, technology, and cybersecurity she will be an enrichment for our Meeting. Esther Paniagua is journalist, author,...
We are thrilled to announce Ricardo Baeza-Yates as one of two high-profile keynote speakers at Media Futures Annual Meeting 2023. He will set the basis for a truly inspirational meeting on AI. Baeza-Yates is Director of Research at the Institute for Experiential AI of...
MediaFutures Research Centre for Responsible Media Technology & Innovation invites Master students to submit poster abstracts!
MediaFutures is a centre for research-based innovation with the goal to develop responsible media technology, leveraging AI technology, for the media sector. The centre is a consortium of the most important media players in Norway. The University of Bergen is the host...
Activities at MediaFutures are increasing and the center has just announced seven new positions. The positions in questions are all recruitement positions within media studies and information science.
We are delighted to announce the official signing of a partnership between MediaFututres and Faktisk.no. Effective Autumn, 2023, the alliance marks a significant stride in advancing research and innovation in the realm of fact-checking.
The Centre will close for summer break on July 1st. Activities will resume on August 1st.
We wish you a safe and relaxing summer!
Embarking on uncharted terrain, MediaFutures scientists conducted a study to assess the effectiveness of Norwegian pre-trained language models (LMs) in discerning veracity of claims. The results demonstrate that Norwegian pre-trained LMs outperform a SVM baseline system. Their research yields valuable insights into the future of automated claim detection tools for fact-checking in low-and medium-resourced languages.