Tim Draws

According to our database, Tim Draws authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. Manipulation.

Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev

ACM Trans. Web, May, 2024

Evaluating explainable social choice-based aggregation strategies for group recommendation.

Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev

User Model. User Adapt. Interact., March, 2024

Responsible Opinion Formation on Debated Topics in Web Search.

Alisa Rieger, Tim Draws, Nicolas Mattis, David Maxwell, David Elsweiler, Ujwal Gadiraju, Dana McKay, Alessandro Bozzon, Maria Soledad Pera

Proceedings of the Advances in Information Retrieval, 2024

2023

Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection.

Oana Inel, Tim Draws, Lora Aroyo

CoRR, 2023

Explaining Search Result Stances to Opinionated People.

Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev

Proceedings of the Explainable Artificial Intelligence, 2023

Viewpoint Diversity in Search Results.

Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, Nava Tintarev

Proceedings of the Advances in Information Retrieval, 2023

Explainable Cross-Topic Stance Detection for Search Results.

Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Investigating the Influence of Featured Snippets on User Attitudes.

Markus Bink, Sebastian Schwarz, Tim Draws, David Elsweiler

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability.

Mireia Yurrita, Tim Draws, Agathe Balayn, Dave Murray-Rust, Nava Tintarev, Alessandro Bozzon

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic.

Caspar J. van Lissa, Wolfgang Stroebe, Michelle R. vanDellen, N. Pontus Leander, Maximilian Agostini, Tim Draws, Andrii Grygoryshyn, Ben Gützgow, Jannis Kreienkamp, Clara S. Vetter, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjolica Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B. I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanovic, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane Gracieli Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding-Yu Jiang, Veljko Jovanovic, Zeljka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanksi, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Edward P. Lemay, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton P. Martinez, Kira O. McCabe, Jasmina Mehulic, Mirra Noor Milla, Idris Mohammed, Erica Molinario, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyúl, Paul A. O'Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas H. Rees, Anne Margit Reitsema, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta M. Sasin, Birga M. Schumpe, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Kees van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai-lan Yeung, Somayeh Zand, Iris Lav Zezelj, Bang Zheng, Andreas Zick, Claudia Zuniga, Jocelyn J. Bélanger

Patterns, 2022

The Effects of Crowd Worker Biases in Fact-Checking Tasks.

Tim Draws, David La Barbera, Michael Soprano, Kevin Roitero, Davide Ceolin, Alessandro Checco, Stefano Mizzaro

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics.

Tim Draws, Oana Inel, Nava Tintarev, Christian Baden, Benjamin Timmermans

Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021

Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics.

Tim Draws, Nava Tintarev, Ujwal Gadiraju

SIGKDD Explor., 2021

Transparency Paths - Documenting the Diversity of User Perceptions.

Fausto Giunchiglia, Styliani Kleanthous, Jahna Otterbacher, Tim Draws

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics.

Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics.

Tim Draws

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation.

Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Disparate Impact Diminishes Consumer Trust Even for Advantaged Users.

Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind

Proceedings of the Persuasive Technology - 16th International Conference, 2021

This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias.

Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev

Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations.

Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev

Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

A Checklist to Combat Cognitive Biases in Crowdsourcing.

Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev

Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021

2020

Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics.

Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans

CoRR, 2020

Helping users discover perspectives: Enhancing opinion mining with joint topic models.

Tim Draws, Jody Liu, Nava Tintarev

Proceedings of the 20th International Conference on Data Mining Workshops, 2020