Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms. - Snehalkumar (Neil) S. Gaikwad; Durim Morina; Adam Ginzberg; Catherine A. Mullings; Shirish Goyal; Dilrukshi Gamage; Christopher Diemert; Mathias Burton; Sharon Zhou; Mark E. Whiting; Karolina R. Ziulkoski; Alipta Ballav; et al. (UIST, 2016)

The Daemo Crowdsourcing Marketplace. - Snehalkumar (Neil) S. Gaikwad; Mark E. Whiting; Dilrukshi Gamage; Catherine A. Mullings; Dinesh Majeti; Shirish Goyal; Aaron Gilbee; Nalin Chhibber; Adam Ginzberg; Angela Richmond-Fuller; Sekandar Matin; Vibhor Sehgal; et al. (CSCW Companion, 2017)

Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms. - Mark E. Whiting; Dilrukshi Gamage; Snehalkumar (Neil) S. Gaikwad; Aaron Gilbee; Shirish Goyal; Alipta Ballav; Dinesh Majeti; Nalin Chhibber; Angela Richmond-Fuller; Freddie Vargus; Tejas Seshadri Sarma; Varshine Chandrakanthan; et al. (CSCW, 2017)

Improving Assessment on MOOCs Through Peer Identification and Aligned Incentives. - Dilrukshi Gamage; Mark E. Whiting; Thejan Rajapakshe; Haritha Thilakarathne; Indika Perera; Shantha Fernando (L@S, 2017)

Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design. - Snehalkumar (Neil) S. Gaikwad; Nalin Chhibber; Vibhor Sehgal; Alipta Ballav; Catherine A. Mullings; Ahmed Nasser; Angela Richmond-Fuller; Aaron Gilbee; Dilrukshi Gamage; Mark E. Whiting; Sharon Zhou; Sekandar Matin; et al. (CoRR, 2017)

Improving Feedback and Discussion in MOOC Peer Assessement Using Introduced Peers. - Dilrukshi Gamage; Mark E. Whiting; Indika Perera; Shantha Femando (TALE, 2018)

Efficient probabilistic grammar induction for design. - Mark E. Whiting; Jonathan Cagan; Philip R. Leduc (Artif. Intell. Eng. Des. Anal. Manuf., 2018)

Fair Work: Crowd Work Minimum Wage with One Line of Code. - Mark E. Whiting; Grant Hugh; Michael S. Bernstein (HCOMP, 2019)

Did It Have To End This Way?: Understanding The Consistency of Team Fracture. - Mark E. Whiting; Allie Blaising; Chloe Barreau; Laura Fiuza; Nik Marda; Melissa A. Valentine; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 2019)

Empirica: a virtual lab for high-throughput macro-level experiments. - Abdullah Almaatouq; Joshua Becker; James P. Houghton; Nicolas Paton; Duncan J. Watts; Mark E. Whiting (CoRR, 2020)

My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction. - Hancheng Cao; Vivian Yang; Victor Chen; Yu Jin Lee; Lydia Stone; N'godjigui Junior Diarrassouba; Mark E. Whiting; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 2020)

Parallel Worlds: Repeated Initializations of the Same Team to Improve Team Viability. - Mark E. Whiting; Irena Gao; Michelle Xing; N'godjigui Junior Diarrassouba; Tonya Nguyen; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 2020)

Together we learn better: leveraging communities of practice for MOOC learners. - Dilrukshi Gamage; Mark E. Whiting (AsianCHI@CHI, 2021)

Can Online Juries Make Consistent, Repeatable Decisions? - Xinlan Emily Hu; Mark E. Whiting; Michael S. Bernstein (CHI, 2021)

Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report. - Jacob Ritchie; Mark E. Whiting; Sorathan Chaturapruek; J. D. Zamfirescu-Pereira; Madhav V. Marathe; Achla Marathe; Stephen G. Eubank; Michael S. Bernstein (CoRR, 2021)

Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications. - Dilrukshi Gamage; Piyush Ghasiya; Vamshi Krishna Bonagiri; Mark E. Whiting; Kazutoshi Sasahara (CHI, 2022)

Empirically evaluating commonsense intelligence in large language models with large-scale human judgments. - Tuan Dung Nguyen; Duncan J. Watts; Mark E. Whiting (CoRR, 2025)