| Vol-2741 urn:nbn:de:0074-2741-3 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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).

# BIRDS 2020
Bridging the Gap between Information Science, Information Retrieval and Data Science

### Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020)
co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)

### Xi'an, China (online only), July 30th, 2020.

Edited by

### Ingo Frommholz *
Haiming Liu *
Massimo Melucci **

* University of Bedfordshire, Luton, UK
** University of Padua, Padua, Italy

## Table of Contents

- BIRDS 2020 - Bridging the Gap between Information Science, Information Retrieval and Data Science: Preface 1-3
  Ingo Frommholz, Haiming Liu, Massimo Melucci

### Session 1: Keynotes

- Fairness and Transparency in Ranking 4-4
  Carlos Castillo
- Challenges and Opportunities for IS, IR & DS in an Era of Information Ubiquity 5-5
  Nicholas J. Belkin

### Session 2: Invited Talks

- Explaining Explanation Methods 6-13
  Riccardo Guidotti
- Understanding Faceted Search from Information Retrieval, Information Science and Data Science Perspectives 14-15
  Xi Niu

### Session 3: Research Papers Session 1

- Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach 16-29
  Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
- Towards a Framework for Harm Prevention in Web Search 30-46
  Steven Zimmerman, Stefan Herzog, Jon Chamberlain, David Elsweiler, Udo Kruschwitz
- Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems 47-54
  Kritika Agrawal, Vikram Pudi
- Exploring the Impact on User Information Search Behaviour of Affective Design: An Eye-Tracking Study 55-69
  Sehrish Sher Khan, Haiming Liu

### Session 4: Research Papers Session 2

- Extracting and Representing Causal Knowledge of Health Condition 70-78
  Hong Qing Yu
- BM25-FIC: Information Content-based Field Weighting for BM25F 79-85
  Tuomas Ketola, Thomas Roelleke
- Content-based Image Search System Design for Capturing User Preferences during Query Formulation 86-99
  Mahmoud Artemi, Haiming Liu
- Some Reflections on the Use of Structural Equation Modeling for Investigating the Causal Relationships that Affect Search Engine Results 100-109
  Massimo Melucci

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2020-11-03: submitted by Ingo Frommholz, metadata incl. bibliographic data published under Creative Commons CC0
2020-11-15: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|