Vol-3143
urn:nbn:de:0074-3143-3

Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

INRA 2021
News Recommendation and Analytics 2021

Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021)
co-located with 15th ACM Conference on Recommender Systems (RecSys 2021)

Amsterdam, Netherlands, September 27, 2021.

Edited by

Özlem Özgöbek *
Andreas Lommatzsch **
Benjamin Kille *
Peng Liu *
Zhixin Pu ***
Jon Atle Gulla *

* Norwegian University of Science and Technology, Department of Computer Science, Trondheim, Norway
** Berlin Institute of Technology, Berlin, Germany
*** Penn State University, Pennsylvania, USA

Table of Contents

Preface
Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume.

Workshop Papers

Predicting Feature-based Similarity in the News Domain Using Human Judgments 1-18
Alain D. Starke, Sebastian Øverhaug, Christoph Trattner
How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption? (short paper) 19-28
Felix Hamborg, Timo Spinde, Kim Heinser, Karsten Donnay, Bela Gipp
Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method 29-42
Fatih Gedikli, Anne Stockem Novo, Dietmar Jannach
Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract) 43-46
Joseph A. Konstan, Robin Burke, Edward C. Malthouse
Information Overload and User Satisfaction: Balance Between Reliance on Recommendations and Deliberate News Selection 47-61
Zhixin Pu, Michael A. Beam
Interactive Visualization of the Polarity-based Stance of News Websites using News Genres (short paper) 62-69
Masaharu Yoshioka, Norihiko Tatsunami, Masahiko Itoh, Noriko Kando, James Allan

2022-04-29: submitted by Özlem Özgöbek, Peng Liu metadata incl. bibliographic data published under Creative Commons CC0
2022-05-27: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|