What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work L Michiels, J Leysen, A Smets, B Goethals Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022 | 38 | 2022 |
We’re in This Together: A Multi-Stakeholder Approach for News Recommenders A Smets, J Hendrickx, P Ballon Digital Journalism, 1-19, 2022 | 22 | 2022 |
Serendipity in the city: User evaluations of urban recommender systems A Smets, J Vannieuwenhuyze, P Ballon Journal of the Association for Information Science and Technology 73 (1), 19-30, 2021 | 20 | 2021 |
News Recommender Systems and News Diversity, Two of a Kind? A Case Study from a Small Media Market J Hendrickx, A Smets, P Ballon Journalism and Media 2 (3), 515-528, 2021 | 12 | 2021 |
Blind spots in AI: the role of serendipity and equity in algorithm-based decision-making C van Leeuwen, A Smets, A Jacobs, P Ballon ACM SIGKDD Explorations Newsletter 23 (1), 42-49, 2021 | 10 | 2021 |
Human Sensemaking in the Smart City: A Research Approach Merging Big and Thick Data A Smets, B Lievens Ethnographic Praxis in Industry Conference Proceedings 2018 (1), 179-194, 2018 | 10 | 2018 |
Serendipity in Recommender Systems Beyond the Algorithm: A Feature Repository and Experimental Design A Smets, L Michiels, T Bogers, L Björneborn 16th ACM Conference on Recommender Systems, 44-66, 2022 | 9 | 2022 |
Designing for serendipity: a means or an end? A Smets Journal of Documentation 79 (3), 589-607, 2023 | 7 | 2023 |
Mediated by Code: Unpacking Algorithmic Curation of Urban Experiences A Smets, P Ballon, N Walravens Media and Communication 9 (3), 2021 | 6 | 2021 |
Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble A Smets, E Montero, P Ballon | 6* | 2019 |
15 Challenges and opportunities for recommender systems in media markets H Ranaivoson, A Smets, P Ballon De Gruyter Handbook of Media Economics, 215, 2024 | 5 | 2024 |
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News L Michiels, J Vannieuwenhuyze, J Leysen, R Verachtert, A Smets, ... Proceedings of the 17th ACM Conference on Recommender Systems, 640-651, 2023 | 4 | 2023 |
Designing Recommender Systems for the Common Good A Smets, N Walravens, P Ballon Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation …, 2020 | 4 | 2020 |
Context-Aware Experience Sampling Method to Understand Human Behavior in a Smart City: a Case Study A Smets, B Lievens, R D’Hauwers Measuring Behavior 2018, 2018 | 4 | 2018 |
Nudging Sustainable Behaviour: The Use of Data-driven Nudges to Support a Circular Economy in Smart Cities A Smets, B Lievens Smart Cities in Smart Regions 2018, 151, 2018 | 3 | 2018 |
Serendipity as a Shared Value in Urban Recommender Systems A Smets Phd thesis, Vrije Universiteit Brussel, 2022 | 2 | 2022 |
Behaviour Monitoring in Context: a Methodology for Measuring the Impact of the Human Factor on Smart Cities Big Data and Technologies F Spagnoli, S van der Graaf, A Smets Measuring Behavior 2018, 2018 | 2 | 2018 |
Using Regions of Interest for Personalized Route Planning H Delva, A Smets, P Colpaert, P Ballon, R Verborgh Proceedings of the 2nd International Workshop on Semantics for Transport, 47-52, 2020 | 1 | 2020 |
Newsroom Realities: An Exploration of Changing Dynamics in News Organizations in Relation to Recommender Systems H Vandenbroucke, A Smets DBWRS: Dutch-Belgian workshop on Recommender Systems, 2023 | | 2023 |
Zomerblog: De gespannen relatie tussen digitalisering en serendipiteit B Binst, A Smets | | 2023 |