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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Why am I reading this? Explaining Personalized News Recommender Systems |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| ISBN | 978-3-03868-222-6 |
| ISSN | 2664-4487 |
| Page Range | 67 - 72 |
| Event Title | EuroVis Workshop on Visual Analytics (EuroVA) |
| Event Type | conference |
| Event Location | Leipzig |
| Event Start Date | June 12 - 2023 |
| Event End Date | June 12 - 2023 |
| Series Name | EuroVis Workshop on Visual Analytics (EuroVA) |
| Publisher | The Eurographics Association |
| Abstract Text | 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. |
| Free access at | DOI |
| Digital Object Identifier | 10.2312/eurova.20231099 |
| Other Identification Number | merlin-id:24324 |
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| Additional Information | Interactive Machine Learning, Explainable AI, Recommender Systems, Personalization |