| 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 …, 2015 | 201 | 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 | 119 | 2014 |
| 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 | 81 | 2013 |
| 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 | 73 | 2017 |
| 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 | 66 | 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 | 50 | 2015 |
| 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 | 49 | 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 | 48 | 2018 |
| 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, 6-26, 2017 | 37 | 2017 |
| 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 | 35 | 2017 |
| Improving learning through achievement priming in crowdsourced information finding microtasks U Gadiraju, S Dietze LAK 2017. Proceedings of the Seventh International Learning Analytics …, 2017 | 35 | 2017 |
| 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 | 34 | 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 | 34 | 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 | 31 | 2015 |
| 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 | 28 | 2019 |
| Balancing novelty and salience: Adaptive learning to rank entities for timeline summarization of high-impact events TA Tran, C Niederee, N Kanhabua, U Gadiraju, A Anand CIKM 2017. Proceedings of the 24th ACM International on Conference on …, 2015 | 28 | 2015 |
| An introduction to hybrid human-machine information systems G Demartini, DE Difallah, U Gadiraju, M Catasta Foundations and Trends in Web Science 7 (1), 1-87, 2017 | 25 | 2017 |
| 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 | 21 | 2019 |
| In What Mood Are You Today?: An Analysis of Crowd Workers' Mood, Performance and Engagement M Zhuang, U Gadiraju Web Science 2019. Proceedings of the 10th ACM Conference on Web Science, 373-382, 2019 | 20 | 2019 |
| Crowd Anatomy Beyond the Good and Bad: Behavioral Traces for Crowd Worker Modeling and Pre-selection U Gadiraju, G Demartini, R Kawase, S Dietze CSCW Journal 2018. Computer Supported Cooperative Work (CSCW), 1-27, 2018 | 19 | 2018 |
Stefan DietzeFull Professor (Heinrich-Heine-University Düsseldorf) & Scientific Director (WTS/GESIS)Verified email at l3s.de
