publications

Below is a list of my publications (see also my Google Scholar profile.). Papers marked with a šŸ† emoji have won Best Paper Awards at their respective venues, šŸ„ˆ 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. ā€œResponsible Opinion Formation on Debated Topics in Web Search.ā€ ECIR 2024.

2023

Draws, Tim. 2023. ā€œUnderstanding 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. ā€œNudges 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

šŸ„ˆ 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. ā€œEvaluating 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. ā€œInvestigating the Influence of Featured Snippets on User Attitudes.ā€ In ACM SIGIR Conference on Human Information Interaction and Retrieval. CHIIR ā€™23. 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. ā€œExplainable Cross-Topic Stance Detection for Search Results.ā€ In ACM SIGIR Conference on Human Information Interaction and Retrieval. CHIIR ā€™23. 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. ā€œViewpoint 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, 13980:279ā€“97. 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. ā€œExplaining 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

šŸ† Yurrita, Mireia, Tim Draws, Agathe Balayn, Dave Murray-Rust, Nava Tintarev, and Alessandro Bozzon. 2023. ā€œDisentangling 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 ā€™23. 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. ā€œThe Effects of Crowd Worker Biases in Fact-Checking Tasks.ā€ In 2022 ACM Conference on Fairness, Accountability, and Transparency, 2114ā€“24. 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. ā€œUsing 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.

šŸ† Draws, Tim, Oana Inel, Nava Tintarev, Christian Baden, and Benjamin Timmermans. 2022. ā€œComprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics.ā€ In ACM SIGIR Conference on Human Information Interaction and Retrieval, 135ā€“45. 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. ā€œCombine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project.ā€ Psychology Learning & Teaching, February, 1ā€“13. 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. ā€œA Many-Analysts Approach to the Relation between Religiosity and Well-Being.ā€ Religion, Brain & Behavior 0 (0): 1ā€“47. https://doi.org/10.1080/2153599X.2022.2070255.

2021

Draws, Tim, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, and Benjamin Timmermans. 2021a. ā€œThis 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, 295ā€“305. SIGIR ā€™21. 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. ā€œTransparency Paths – Documenting the Diversity of User Perceptions.ā€ In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 415ā€“20. UMAP ā€™21. 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. ā€œThe JASP Guidelines for Conducting and Reporting a Bayesian Analysis.ā€ Psychonomic Bulletin & Review 28 (3): 813ā€“26. https://doi.org/10.3758/s13423-020-01798-5.

Draws, Tim, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, and Benjamin Timmermans. 2021b. ā€œAssessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics.ā€ ACM SIGKDD Explorations Newsletter 23 (1): 50ā€“58. https://doi.org/10.1145/3468507.3468515.

Barile, Francesco, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, and Nava Tintarev. 2021. ā€œToward 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. ā€œUnderstanding 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 ā€™21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3404835.3463273.

šŸ† Draws, Tim, Alisa Rieger, Oana Inel, Ujwal Gadiraju, and Nava Tintarev. 2021. ā€œA Checklist to Combat Cognitive Biases in Crowdsourcing.ā€ Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, HCOMP ā€™21, 9 (1): 48ā€“59.

Draws, Tim, ZoltĆ”n SzlĆ”vik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, and Michael Hind. 2021. ā€œDisparate Impact Diminishes Consumer Trust Even for Advantaged Users.ā€ In Persuasive Technology, edited by Raian Ali, Birgit Lugrin, and Fred Charles, 12684:135ā€“49. 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. ā€œExploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations.ā€ In Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 155ā€“64. HT ā€™21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3465336.3475104.

šŸ† Rieger, Alisa, Tim Draws, Nava Tintarev, and Mariet Theune. 2021. ā€œThis 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, 189ā€“99. HT ā€™21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3465336.3475101.

2020

Draws, Tim, Jody Liu, and Nava Tintarev. 2020. ā€œHelping Users Discover Perspectives: Enhancing Opinion Mining with Joint Topic Models.ā€ In 2020 International Conference on Data Mining Workshops (ICDMW), 23ā€“30. 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. ā€œA Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP.ā€ Annee Psychologique 120 (1): 73ā€“96. https://doi.org/10.3917/anpsy1.201.0073.

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