| 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|