Vol-2758
urn:nbn:de:0074-2758-1

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).

OHARS 2020
Online Misinformation- and Harm-Aware Recommender Systems 2020

Proceedings of the Workshop on Online Misinformation- and Harm-Aware Recommender Systems
co-located with 14th ACM Conference on Recommender Systems (RecSys 2020)

Rio de Janeiro, Brazil, September 25, 2020.

Edited by

Antonela Tommasel *
Daniela Godoy *
Arkaitz Zubiaga **

* ISISTAN Research Institute (CONICET / UNICEN), Tandil, Argentina
** Queen Mary University of London, UK

Table of Contents

Workshop on Online Misinformation- and Harm-Aware Recommender Systems: Preface i-v
Antonela Tommasel, Daniela Godoy, Arkaitz Zubiaga

Invited talks

Mining Social Networks to Learn about Rumors, Hate Speech, Bias and Polarization - Abstract 1-2
Bárbara Poblete
Moderation Meets Recommendation: Perspectives on the Role of Policies in Harm-Aware Recommender Ecosystems - Abstract 3-3
Martha Larson

Research papers

TexTrolls: Identifying Trolls on Twitter with Textual and Affective Features 4-22
Bilal Ghanem, Davide Buscaldi, Paolo Rosso
A Nudge-based Recommender System Towards Responsible Online Socializing 23-39
Rim Ben Salem, Esma Aïmeur, Hicham Hage
Recommender Systems and Misinformation: The Problem or the Solution? 40-50
Miriam Fernandez, Alejandro Bellogín
Botcha: Detecting Malicious Non-Human Traffic in the Wild 51-59
Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova
Making Session-based News Recommenders Diversity-aware 60-66
Alireza Gharahighehi, Celine Vens

2020-11-13: submitted by Daniela Godoy, metadata incl. bibliographic data published under Creative Commons CC0
2020-12-03: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|