| Bias in data‐driven artificial intelligence systems—An introductory survey E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal, S Ruggieri, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 2020 | 997 | 2020 |
| Understanding Malicious Behavior in Crowdsourcing Platforms: The Case of Online Surveys U Gadiraju, R Kawase, S Dietze, G Demartini CHI 2015. Proceedings of the 33rd Annual ACM Conference on Human Factors in …, 2015 | 343 | 2015 |
| A taxonomy of microtasks on the web U Gadiraju, R Kawase, S Dietze HT 2014. Proceedings of the 25th ACM conference on Hypertext and social …, 2014 | 180 | 2014 |
| Understanding and Mitigating Worker Biases in the Crowdsourced Collection of Subjective Judgments C Hube, B Fetahu, U Gadiraju CHI 2019. Proceedings of the 2019 {CHI} Conference on Human Factors in …, 2019 | 155 | 2019 |
| 🏆 Clarity is a Worthwhile Quality: On the Role of Task Clarity in Microtask Crowdsourcing U Gadiraju, J Yang, A Bozzon HT 2017. In Proceedings of the 28th ACM Conference on Hypertext and Social …, 2017 | 145 | 2017 |
| Analyzing knowledge gain of users in informational search sessions on the web U Gadiraju, R Yu, S Dietze, P Holtz CHIIR 2018. Proceedings of the 2018 Conference on Human Information …, 2018 | 125 | 2018 |
| Predicting user knowledge gain in informational search sessions R Yu, U Gadiraju, P Holtz, M Rokicki, P Kemkes, S Dietze SIGIR 2018. The 41st International ACM SIGIR Conference on Research …, 2018 | 106 | 2018 |
| Groundhog day: near-duplicate detection on twitter K Tao, F Abel, C Hauff, GJ Houben, U Gadiraju WWW 2013. Proceedings of the 22nd international conference on World Wide Web …, 2013 | 98 | 2013 |
| 🏆A Checklist to Combat Cognitive Biases in Crowdsourcing T Draws, A Rieger, O Inel, U Gadiraju, N Tintarev HCOMP 2021. In Proceedings of the 9th AAAI Conference on Human Computation …, 2021 | 94 | 2021 |
| Improving Worker Engagement Through Conversational Microtask Crowdsourcing S Qiu, U Gadiraju, A Bozzon CHI 2020. Proceedings of the 2020 CHI Conference on Human Factors in …, 2020 | 83 | 2020 |
| Training workers for improving performance in crowdsourcing microtasks U Gadiraju, B Fetahu, R Kawase ECTEL 2015. Design for Teaching and Learning in a Networked World, 100-114, 2015 | 77 | 2015 |
| Dissonance Between Human and Machine Understanding Z Zhang, J Singh, U Gadiraju, A Anand CSCW 2019. Proc. ACM Hum.-Comput. Interact. 3, CSCW 3 (56), 23, 2019 | 76 | 2019 |
| All those wasted hours: On task abandonment in crowdsourcing L Han, K Roitero, U Gadiraju, C Sarasua, A Checco, E Maddalena, ... WSDM 2019. Proceedings of the Twelfth ACM International Conference on Web …, 2019 | 75 | 2019 |
| Using worker self-assessments for competence-based pre-selection in crowdsourcing microtasks U Gadiraju, B Fetahu, R Kawase, P Siehndel, S Dietze ACM Transactions on Computer-Human Interaction (TOCHI) 24 (4), 1-26, 2017 | 74 | 2017 |
| Second Chance for a First Impression? Trust Development in Intelligent System Interaction S Tolmeijer, U Gadiraju, R Ghantasala, A Gupta, A Bernstein UMAP 2021. Proceedings of the 29th ACM Conference on User Modeling …, 2021 | 73 | 2021 |
| Modus operandi of crowd workers: The invisible role of microtask work environments U Gadiraju, A Checco, N Gupta, G Demartini UBICOMP 2017. Proceedings of the ACM on Interactive, Mobile, Wearable and …, 2017 | 67 | 2017 |
| Human beyond the machine: Challenges and opportunities of microtask crowdsourcing U Gadiraju, G Demartini, R Kawase, S Dietze IEEE Intelligent Systems 30 (4), 81-85, 2015 | 64 | 2015 |
| Note the Highlight: Incorporating Active Reading Tools in a Search as Learning Environment N Roy, MV Torre, U Gadiraju, D Maxwell, C Hauff CHIIR 2021. Proceedings of the 2021 Conference on Human Information …, 2021 | 63 | 2021 |
| Crowdsourcing versus the laboratory: towards human-centered experiments using the crowd U Gadiraju, S Möller, M Nöllenburg, D Saupe, S Egger-Lampl, ... Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments …, 2017 | 63 | 2017 |
| Bias in data‐driven artificial intelligence systems—An introductory survey E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 0 | 63 | |
Stefan DietzeFull Professor (Heinrich-Heine-University Düsseldorf) & Scientific Director (KTS, GESIS)在 l3s.de 的電子郵件地址已通過驗證