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2020 – today
- 2024
[j4]Alisa Rieger
, Tim Draws, Mariët Theune, Nava Tintarev:
Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. Manipulation. ACM Trans. Web 18(2): 27:1-27:27 (2024)- [j3]Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev:
Evaluating explainable social choice-based aggregation strategies for group recommendation. User Model. User Adapt. Interact. 34(1): 1-58 (2024) - [c17]Alisa Rieger, Tim Draws, Nicolas Mattis, David Maxwell, David Elsweiler, Ujwal Gadiraju, Dana McKay, Alessandro Bozzon, Maria Soledad Pera:
Responsible Opinion Formation on Debated Topics in Web Search. ECIR (4) 2024: 437-465 - 2023
- [c16]Mireia Yurrita, Tim Draws, Agathe Balayn, Dave Murray-Rust, Nava Tintarev, Alessandro Bozzon:
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability. CHI 2023: 134:1-134:21 - [c15]Markus Bink, Sebastian Schwarz, Tim Draws, David Elsweiler:
Investigating the Influence of Featured Snippets on User Attitudes. CHIIR 2023: 211-220 - [c14]Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev:
Explainable Cross-Topic Stance Detection for Search Results. CHIIR 2023: 221-235 - [c13]Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, Nava Tintarev:
Viewpoint Diversity in Search Results. ECIR (1) 2023: 279-297 - [c12]Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev:
Explaining Search Result Stances to Opinionated People. xAI (2) 2023: 573-596 - [i5]Oana Inel, Tim Draws, Lora Aroyo:
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection. CoRR abs/2308.12885 (2023) - [i4]Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev:
Explaining Search Result Stances to Opinionated People. CoRR abs/2309.08460 (2023) - 2022
- [j2]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:
Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic. Patterns 3(4): 100482 (2022) - [c11]Tim Draws, Oana Inel, Nava Tintarev, Christian Baden, Benjamin Timmermans:
Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics. CHIIR 2022: 135-145 - [c10]Tim Draws, David La Barbera, Michael Soprano, Kevin Roitero, Davide Ceolin, Alessandro Checco, Stefano Mizzaro:
The Effects of Crowd Worker Biases in Fact-Checking Tasks. FAccT 2022: 2114-2124 - 2021
- [j1]Tim Draws, Nava Tintarev, Ujwal Gadiraju:
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics. SIGKDD Explor. 23(1): 50-58 (2021) - [c9]Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev:
A Checklist to Combat Cognitive Biases in Crowdsourcing. HCOMP 2021: 48-59 - [c8]Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev:
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. HT 2021: 155-164 - [c7]Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev:
This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias. HT 2021: 189-199 - [c6]Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind:
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. PERSUASIVE 2021: 135-149 - [c5]Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev:
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation. Perspectives@RecSys 2021 - [c4]Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans:
This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics. SIGIR 2021: 295-305 - [c3]Tim Draws:
Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics. SIGIR 2021: 2709 - [c2]Fausto Giunchiglia, Styliani Kleanthous, Jahna Otterbacher, Tim Draws:
Transparency Paths - Documenting the Diversity of User Perceptions. UMAP (Adjunct Publication) 2021: 415-420 - [i3]Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind:
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. CoRR abs/2101.12715 (2021) - 2020
- [c1]Tim Draws, Jody Liu, Nava Tintarev:
Helping users discover perspectives: Enhancing opinion mining with joint topic models. ICDM (Workshops) 2020: 23-30 - [i2]Tim Draws, Jody Liu, Nava Tintarev:
Helping users discover perspectives: Enhancing opinion mining with joint topic models. CoRR abs/2010.12505 (2020) - [i1]Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans:
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics. CoRR abs/2010.14531 (2020)
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