A dynamic flow of unstructured, fragmentary, and potentially unreliable stories characterizes the news landscape. Quickly finding relevant information challenges readers, who rely on tools to filter the stream of news. The spread of increasing concerns about disinformation coupled with privacy concerns necessitate improving these tools.
This workshop primarily addresses news recommender systems and analytics. The news streams may originate in large media companies, but may also come from social sites, where user models are needed to decide how user generated content is to be taken into account while minimizing the privacy concerns and the spread of disinformation. In this workshop we aim to bring researchers, media companies, and practitioners together, in order to exchange ideas about how to create and maintain a trusted and sustainable environment for digital news production and consumption. This year, we also provide the opportunity for the researchers who would like to test their ideas on real world news settings by using our datasets and evaluation platforms.
Topics of interests for this workshop include but are not limited to:
• News Recommendation
• News Analytics
• Fake News and Disinformation
• User Experience Issues
• Evaluation Platforms, Methods and Datasets
For a more enhanced research and the reproducibility of research results, we believe the importance of readily available datasets and evaluation platforms. In this context, we provide the opportunity for our participants to evaluate their systems by using the following datasets and platforms if they would like to: