14.00 - 14.10 Introduction
14.10 - 14.45 Keynote speech: "Practices of Data Analytics and Machine Learning in News Service", Hiroto Nakajima
14.45 - 15.00 Break
15.00 - 16.05 Paper presentations
15.00 - 15.15 Multi-Stakeholder News Recommendation using Hypergraph Learning, Alireza Gharahighehi, Celine Vens and Konstantinos Pliakos (paper #4, 10+5 minutes)
15.15 - 15.35 Monitoring Technoscientific Issues in the News, Alberto Cammozzo, Emanuele Di Buccio and Federico Neresini (paper #6, 15+5 minutes)
15.35 - 15.50 Recommenders with a mission: assessing diversity in news recommendations, Sanne Vrijenhoek and Natali Helberger (paper #1, 10+5 minutes)
15.50 - 16.05 An Educational News Dataset for Recommender Systems, Jon Atle Gulla, Özlem Özgöbek, Yujie Xing and Itishree Mohallick (paper #9, 10+5 minutes)
16.05 - 16.15 Break
16.15 - 17.10 Paper presentations
16.15 - 16.30 Exploring Thematic Coherence in Fake News, Martins Samuel Dogo, Deepak Padmanabhan and Anna Jurek-Loughrey (paper #8, 10+5 minutes)
16.30 - 16.50 Media Bias in German News Articles: A Combined Approach, Timo Spinde, Felix Hamborg and Bela Gipp (paper #3, 15+5 minutes)
16.50 - 17.10 On the Coherence of Fake News Articles, Iknoor Singh, Deepak P and Anoop K (paper #5, 15+5 minutes)
17.10 - 17.20 Break
17.20 - 18.00 Interactive session
