Mark E. Whiting

According to our database, Mark E. Whiting authored at least 16 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

Can Online Juries Make Consistent, Repeatable Decisions?

Xinlan Emily Hu, Mark E. Whiting, Michael S. Bernstein

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Together we learn better: leveraging communities of practice for MOOC learners.

Dilrukshi Gamage, Mark E. Whiting

Proceedings of the AsianCHI '21: 5th Asian CHI Symposium, 2021

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

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

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

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

Fair Work: Crowd Work Minimum Wage with One Line of Code.

Mark E. Whiting, Grant Hugh, Michael S. Bernstein

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

2018

Efficient probabilistic grammar induction for design.

Mark E. Whiting, Jonathan Cagan, Philip R. Leduc

Artif. Intell. Eng. Des. Anal. Manuf., 2018

Improving Feedback and Discussion in MOOC Peer Assessement Using Introduced Peers.

Dilrukshi Gamage, Mark E. Whiting, Indika Perera, Shantha Femando

Proceedings of the IEEE International Conference on Teaching, 2018

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, Senadhipathige S. Niranga, Shirish Goyal, Dinesh Majeti, Preethi Srinivas, Adam Ginzberg, Kamila Mananova, Karolina R. Ziulkoski, Jeff Regino, Tejas Sarma, Akshansh Sinha, Abhratanu Paul, Christopher Diemert, Mahesh Murag, William Dai, Manoj Pandey, Rajan Vaish, Michael S. Bernstein

CoRR, 2017

Improving Assessment on MOOCs Through Peer Identification and Aligned Incentives.

Dilrukshi Gamage, Mark E. Whiting, Thejan Rajapakshe, Haritha Thilakarathne, Indika Perera, Shantha Fernando

Proceedings of the Fourth ACM Conference on Learning @ Scale, 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, Teógenes Moura, Mohamed Hashim Salih, Gabriel Bayomi Tinoco Kalejaiye, Adam Ginzberg, Catherine A. Mullings, Yoni Dayan, Kristy Milland, Henrique Orefice, Jeff Regino, Sayna Parsi, Kunz Mainali, Vibhor Sehgal, Sekandar Matin, Akshansh Sinha, Rajan Vaish, Michael S. Bernstein

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

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, Tejas Seshadri Sarma, Ahmed Nasser, Alipta Ballav, Jeff Regino, Sharon Zhou, Kamila Mananova, Preethi Srinivas, Karolina R. Ziulkoski, Dinesh Dhakal, Alexander Stolzoff, Senadhipathige S. Niranga, Mohamed Hashim Salih, Akshansh Sinha, Rajan Vaish, Michael S. Bernstein

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016

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, Aaron Gilbee, Senadhipathige S. Niranga, Vibhor Sehgal, Jasmine Lin, Leonardy Kristianto, Angela Richmond-Fuller, Jeff Regino, Nalin Chhibber, Dinesh Majeti, Sachin Sharma, Kamila Mananova, Dinesh Dhakal, William Dai, Victoria Purynova, Samarth Sandeep, Varshine Chandrakanthan, Tejas Sarma, Sekandar Matin, Ahmed Nasser, Rohit Nistala, Alexander Stolzoff, Kristy Milland, Vinayak Mathur, Rajan Vaish, Michael S. Bernstein

Proceedings of the 29th Annual Symposium on User Interface Software and Technology, 2016