| Fair work: Crowd work minimum wage with one line of code ME Whiting, G Hugh, MS Bernstein Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019 | 109 | 2019 |
| Crowd guilds: Worker-led reputation and feedback on crowdsourcing platforms ME Whiting, D Gamage, SNS Gaikwad, A Gilbee, S Goyal, A Ballav, ... Proceedings of the 2017 acm conference on computer supported cooperative …, 2017 | 65* | 2017 |
| Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences A Almaatouq, TL Griffiths, JW Suchow, ME Whiting, J Evans, DJ Watts Behavioral and Brain Sciences 47, e33, 2024 | 60 | 2024 |
| Empirica: a virtual lab for high-throughput macro-level experiments A Almaatouq, J Becker, JP Houghton, N Paton, DJ Watts, ME Whiting Behavior Research Methods 53 (5), 2158-2171, 2021 | 59 | 2021 |
| Peer assessment in MOOCs: Systematic literature review D Gamage, T Staubitz, M Whiting Distance Education 42 (2), 268-289, 2021 | 54 | 2021 |
| Are deepfakes concerning? analyzing conversations of deepfakes on reddit and exploring societal implications D Gamage, P Ghasiya, V Bonagiri, ME Whiting, K Sasahara Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 50 | 2022 |
| Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms 29th Annual Symposium on User Interface Software and Technology, 625-637, 2016 | 43 | 2016 |
| My team will go on: Differentiating high and low viability teams through team interaction H Cao, V Yang, V Chen, YJ Lee, L Stone, NJ Diarrassouba, ME Whiting, ... Proceedings of the ACM on Human-Computer Interaction 4 (CSCW3), 1-27, 2021 | 39 | 2021 |
| Searching of data structures in pre-processing data for a machine learning classifier J Cagan, P LeDuc, M Whiting US Patent 11,899,669, 2024 | 36 | 2024 |
| Did It Have To End This Way? Understanding the Consistency of Team Fracture ME Whiting, A Blaising, C Barreau, L Fiuza, N Marda, M Valentine, ... Proceedings of the ACM Human-Computer Interaction 3 (209), 23, 2019 | 32 | 2019 |
| Improving assessment on MOOCs through peer identification and aligned incentives D Gamage, ME Whiting, T Rajapakshe, H Thilakarathne, I Perera, ... Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 315-318, 2017 | 27 | 2017 |
| The daemo crowdsourcing marketplace SNS Gaikwad, ME Whiting, D Gamage, CA Mullings, D Majeti, S Goyal, ... Companion of the 2017 ACM conference on computer supported cooperative work …, 2017 | 19 | 2017 |
| Parallel Worlds: Repeated Initializations of the Same Team To Improve Team Viability ME WHITING, I GAO, M XING, JD N’GODJIGUI, T NGUYEN, ... | 18 | 2020 |
| Insights into the accuracy of social scientists’ forecasts of societal change TF Collective Nature Human Behaviour, 2023 | 15* | 2023 |
| Improving feedback and discussion in MOOC peer assessement using introduced peers D Gamage, ME Whiting, I Perera, S Fernando 2018 IEEE international conference on teaching, assessment, and learning for …, 2018 | 13 | 2018 |
| Efficient probabilistic grammar induction for design ME Whiting, J Cagan, P LeDuc AI EDAM 32 (2), 177-188, 2018 | 11 | 2018 |
| Can Online Juries Make Consistent, Repeatable Decisions? XE Hu, ME Whiting, MS Bernstein Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 10 | 2021 |
| Prototype tasks: improving crowdsourcing results through rapid, iterative task design S Gaikwad, N Chhibber, V Sehgal, A Ballav, C Mullings, A Nasser, ... arXiv preprint arXiv:1707.05645, 2017 | 10 | 2017 |
| Beyond Zooming there: Understanding nonverbal interaction online SY Park, ME Whiting The New Future of Work Symposium, 2020 | 9 | 2020 |
| Decoding nonverbal online actions: how they are used and interpreted SY Park, ME Whiting, M Shanks Design Thinking Research: Translation, Prototyping, and Measurement, 61-88, 2021 | 8 | 2021 |
Michael S. BernsteinAssociate Professor, Stanford UniversityVerified email at cs.stanford.edu
