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, 🄈 emojis stand for Best Paper Honorable Mentions.

2023

Tim Draws. 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) | Compact Version (PDF)

🄈 Inel, Oana, Tim Draws, and Lora Aroyo. 2023. ā€œCollect, Measure, Repeat: Reliability Factors for Responsible Data Collection.ā€ In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. HCOMP ’23.

Wu, Zhangyi, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, and Nava Tintarev. 2023. ā€œExplaining Search Result Stances to Opinionated People.ā€ In XAI World Conference.

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 ’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 ’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, 13980:279–97. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-28244-7_18.

Wu, Zhangyi, Tim Draws, Francesco Barile, and Nava Tintarev. 2023. ā€œExplaining Search Result Stances to Opinionated People.ā€ In XAI World Conference.

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 ’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, 2114–24. 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 Gützgow, 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, 135–45. 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, 1–13. 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): 1–47. 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, 295–305. SIGIR ’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, 415–20. UMAP ’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): 813–26. 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): 50–58. 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 ’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 ’21, 9 (1): 48–59.

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, 12684:135–49. 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, 155–64. HT ’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, 189–99. HT ’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), 23–30. 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): 73–96. https://doi.org/10.3917/anpsy1.201.0073.

privacy