Vol-3011⫷ Vol-3012 ⫸Vol-3013
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 |