Why am I reading this? Explaining Personalized News Recommender Systems

Abstract
Social media and online platforms significantly impact what millions of people get exposed to daily, mainly through recommended content. Hence, recommendation processes have to benefit individuals and society. With this in mind, we present the visual workspace NewsRecXplain, with the goals of (1) explaining and raising awareness about recommender systems, (2) enabling individuals to control and customize news recommendations, and (3) empowering users to contextualize their news recommendations to escape from their filter bubbles. This visual workspace achieves these goals by allowing users to configure their own individualized recommender system, whose news recommendations can then be explained within the workspace by way of embeddings and statistics on content diversity.
Description

        
@inproceedings{
10.2312:eurova.20231099
, booktitle = {
EuroVis Workshop on Visual Analytics (EuroVA)
}, editor = {
Angelini, Marco
and
El-Assady, Mennatallah
}, title = {{
Why am I reading this? Explaining Personalized News Recommender Systems
}}, author = {
Arnórsson, Sverrir
and
Abeillon, Florian
and
Al-Hazwani, Ibrahim
and
Bernard, Jürgen
and
Hauptmann, Hanna
and
El-Assady, Mennatallah
}, year = {
2023
}, publisher = {
The Eurographics Association
}, ISSN = {
2664-4487
}, ISBN = {
978-3-03868-222-6
}, DOI = {
10.2312/eurova.20231099
} }
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