Below is a list of my publications (see also my Google Scholar profile.). Papers marked with a š emoji have won Best Paper Awards at their respective venues, š„ emojis stand for Best Paper Honorable Mentions.
2024
Rieger, Alisa, Draws, Tim, Mattis, Nicolas, Maxwell, David, Elsweiler, David, Gadiraju, Ujwal, McKay, Dana, Bozzon, Alessandro, and Pera, Maria Soledad. 2023. āResponsible Opinion Formation on Debated Topics in Web Search.ā ECIR 2024.
2023
Draws, Tim. 2023. āUnderstanding Viewpoint Biases in Web Search Results.ā PhD Thesis, Delft University of Technology. DOI: 10.4233/uuid:1b177026-6af7-48f3-ba04-ab7109db3c36. Full Version PDF
Rieger, Alisa, Draws, Tim, Theune, MariĆ«t, and Tintarev, Nava. 2023. āNudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. Manipulation.ā ACM Trans. Web (November 2023). https://doi.org/10.1145/3635034
š„ Inel, Oana, Draws, Tim, & Aroyo, Lora. 2023. Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 11(1), 51-64. https://doi.org/10.1609/hcomp.v11i1.27547
Barile, Francesco, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, and Nava Tintarev. 2023. āEvaluating Explainable Social Choice-Based Aggregation Strategies for Group Recommendation.ā User Modeling and User-Adapted Interaction, June. https://doi.org/10.1007/s11257-023-09363-0.
Bink, Markus, Sebastian Schwarz, Tim Draws, and David Elsweiler. 2023. āInvestigating the Influence of Featured Snippets on User Attitudes.ā In ACM SIGIR Conference on Human Information Interaction and Retrieval. CHIIR ā23. New York, NY, USA: ACM. https://doi.org/10.1145/3576840.3578323.
Draws, Tim, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, and Nava Tintarev. 2023. āExplainable Cross-Topic Stance Detection for Search Results.ā In ACM SIGIR Conference on Human Information Interaction and Retrieval. CHIIR ā23. New York, NY, USA: ACM. https://doi.org/10.1145/3576840.3578296.
Draws, Tim, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, and Nava Tintarev. 2023. āViewpoint Diversity in Search Results.ā In Advances in Information Retrieval, edited by Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, and Annalina Caputo, 13980:279ā97. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-28244-7_18.
Wu, Zhangyi, Draws, Tim, Cau, Federico, Barile, Francesco, Rieger, Alisa, Tintarev, Nava. 2023. āExplaining Search Result Stances to Opinionated People.ā In: Longo, L. (eds) Explainable Artificial Intelligence. xAI 2023. Communications in Computer and Information Science, vol 1902. Springer, Cham. https://doi.org/10.1007/978-3-031-44067-0_29
š Yurrita, Mireia, Tim Draws, Agathe Balayn, Dave Murray-Rust, Nava Tintarev, and Alessandro Bozzon. 2023. āDisentangling Fairness Perceptions in Algorithmic Decision-Making: The Effects of Explanations, Human Oversight, and Contestability.ā In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. CHI ā23. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3544548.3581161.
2022
Draws, Tim, David La Barbera, Michael Soprano, Kevin Roitero, Davide Ceolin, Alessandro Checco, and Stefano Mizzaro. 2022. āThe Effects of Crowd Worker Biases in Fact-Checking Tasks.ā In 2022 ACM Conference on Fairness, Accountability, and Transparency, 2114ā24. Seoul, Republic of Korea: ACM. https://doi.org/10.1145/3531146.3534629.
Van Lissa, Caspar J., Wolfgang Stroebe, Michelle R. vanDellen, N. Pontus Leander, Maximilian Agostini, Tim Draws, Andrii Grygoryshyn, Ben GĆ¼tzgow, and others. 2022. āUsing Machine Learning to Identify Important Predictors of COVID-19 Infection Prevention Behaviors during the Early Phase of the Pandemic.ā Patterns 3 (4): 100482. https://doi.org/10.1016/j.patter.2022.100482.
š Draws, Tim, Oana Inel, Nava Tintarev, Christian Baden, and Benjamin Timmermans. 2022. āComprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics.ā In ACM SIGIR Conference on Human Information Interaction and Retrieval, 135ā45. Regensburg Germany: ACM. https://doi.org/10.1145/3498366.3505812.
Sarafoglou, Alexandra, Anna van der Heijden, Tim Draws, Joran Cornelisse, Eric-Jan Wagenmakers, and Maarten Marsman. 2022. āCombine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project.ā Psychology Learning & Teaching, February, 1ā13. https://doi.org/10.1177/14757257221077307.
Hoogeveen, Suzanne, Alexandra Sarafoglou, Balazs Aczel, Yonathan Aditya, Alexandra J. Alayan, Peter J. Allen, Sacha Altay, et al. 2022. āA Many-Analysts Approach to the Relation between Religiosity and Well-Being.ā Religion, Brain & Behavior 0 (0): 1ā47. https://doi.org/10.1080/2153599X.2022.2070255.
2021
Draws, Tim, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, and Benjamin Timmermans. 2021a. āThis Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics.ā In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 295ā305. SIGIR ā21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3404835.3462851.
Giunchiglia, Fausto, Styliani Kleanthous, Jahna Otterbacher, and Tim Draws. 2021. āTransparency Paths – Documenting the Diversity of User Perceptions.ā In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 415ā20. UMAP ā21. Utrecht Netherlands: ACM. https://doi.org/10.1145/3450614.3463292.
Doorn, Johnny van, Don van den Bergh, Udo Bƶhm, Fabian Dablander, Koen Derks, Tim Draws, Alexander Etz, et al. 2021. āThe JASP Guidelines for Conducting and Reporting a Bayesian Analysis.ā Psychonomic Bulletin & Review 28 (3): 813ā26. https://doi.org/10.3758/s13423-020-01798-5.
Draws, Tim, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, and Benjamin Timmermans. 2021b. āAssessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics.ā ACM SIGKDD Explorations Newsletter 23 (1): 50ā58. https://doi.org/10.1145/3468507.3468515.
Barile, Francesco, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, and Nava Tintarev. 2021. āToward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation.ā Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop (PERSPECTIVES 2021). http://ceur-ws.org/Vol-2955/paper11.pdf.
Draws, Tim. 2021. āUnderstanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics.ā In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2709. SIGIR ā21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3404835.3463273.
š Draws, Tim, Alisa Rieger, Oana Inel, Ujwal Gadiraju, and Nava Tintarev. 2021. āA Checklist to Combat Cognitive Biases in Crowdsourcing.ā Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP ā21, 9 (1): 48ā59.
Draws, Tim, ZoltĆ”n SzlĆ”vik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, and Michael Hind. 2021. āDisparate Impact Diminishes Consumer Trust Even for Advantaged Users.ā In Persuasive Technology, edited by Raian Ali, Birgit Lugrin, and Fred Charles, 12684:135ā49. Lecture Notes in Computer Science. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-79460-6_11.
Najafian, Shabnam, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, and Nava Tintarev. 2021. āExploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations.ā In Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 155ā64. HT ā21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3465336.3475104.
š Rieger, Alisa, Tim Draws, Nava Tintarev, and Mariet Theune. 2021. āThis Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias.ā In Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 189ā99. HT ā21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3465336.3475101.
2020
Draws, Tim, Jody Liu, and Nava Tintarev. 2020. āHelping Users Discover Perspectives: Enhancing Opinion Mining with Joint Topic Models.ā In 2020 International Conference on Data Mining Workshops (ICDMW), 23ā30. Sorrento, Italy: IEEE. https://doi.org/10.1109/ICDMW51313.2020.00013.
Bergh, Don van den, Johnny van Doorn, Maarten Marsman, Tim Draws, Erik-Jan van Kesteren, Koen Derks, Fabian Dablander, et al. 2020. āA Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP.ā Annee Psychologique 120 (1): 73ā96. https://doi.org/10.3917/anpsy1.201.0073.