Vol-3012
urn:nbn:de:0074-3012-6

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).

OHARS 2021
Online Misinformation- and Harm-Aware Recommender Systems

Proceedings of the Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems
co-located with 15th ACM Conference on Recommender Systems (RecSys 2021)

Virtual Event, Amsterdam, The Netherlands, October 2, 2021.

Edited by

Antonela Tommasel *
Daniela Godoy *
Arkaitz Zubiaga **

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

Table of Contents

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

Research Papers

“To trust a LIAR”: Does Machine Learning Really Classify Fine-grained, Fake News Statements? 1-13
Mark Mifsud, Colin Layfield, Joel Azzopardi, John Abela
The Privacy versus Disclosure Appetite Dilemma: Mitigation by Recommendation 14-32
Rim Ben Salem, Esma Aïmeur, Hicham Hage
Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity 33-44
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Daniele Malitesta, Felice Antonio Merra
An Empirical Analysis of Collaborative Recommender Systems Robustness to Shilling Attacks 45-57
Anu Shrestha, Francesca Spezzano, Maria Soledad Pera
User Polarization Aware Matrix Factorization for Recommendation Systems 58-67
Wenlong Sun, Olfa Nasraoui
PaRIS: Polarization-aware Recommender Interactive System 68-75
Mahsa Badami, Olfa Nasraoui

2021-11-10: submitted by Daniela Godoy, metadata incl. bibliographic data published under Creative Commons CC0
2021-11-16: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|