Michael S. Bernstein

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 143

Top Venues

CoRR

CHI

Proc. ACM Hum. Comput. Interact.

CSCW

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn
Clarify: Improving Model Robustness With Natural Language Corrections. CoRR (2024)
Amy X. Zhang, Michael S. Bernstein, David R. Karger, Mark S. Ackerman
Form-From: A Design Space of Social Media Systems. CoRR (2024)
Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein
Generative Agents: Interactive Simulacra of Human Behavior. CoRR (2023)
Elisa Kreiss, Krishna Srinivasan, Tiziano Piccardi, Jesus Adolfo Hermosillo, Cynthia L. Bennett, Michael S. Bernstein, Meredith Ringel Morris, Christopher Potts
Characterizing Image Accessibility on Wikipedia across Languages. CoRR (2023)
Gionnieve Lim, Hyunwoo Kim, Yoonseo Choi, Toby Jia-Jun Li, Chinmay Kulkarni, Hariharan Subramonyam, Joseph Seering, Michael S. Bernstein, Amy X. Zhang, Elena L. Glassman, Simon T. Perrault, Juho Kim
Designing for AI-Powered Social Computing Systems. CSCW Companion (2023)
Wanrong He, Mitchell L. Gordon, Lindsay Popowski, Michael S. Bernstein
Cura: Curation at Social Media Scale. CoRR (2023)
Michelle S. Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, James A. Landay, Michael S. Bernstein
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. CoRR (2023)
Joon Sung Park, Joseph C. O'Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein
Generative Agents: Interactive Simulacra of Human Behavior. UIST (2023)
Chenyan Jia, Michelle S. Lam, Minh Chau Mai, Jeff T. Hancock, Michael S. Bernstein
Embedding Democratic Values into Social Media AIs via Societal Objective Functions. CoRR (2023)
Wanrong He, Mitchell L. Gordon, Lindsay Popowski, Michael S. Bernstein
Cura: Curation at Social Media Scale. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Omar Shaikh, Valentino Chai, Michele J. Gelfand, Diyi Yang, Michael S. Bernstein
Rehearsal: Simulating Conflict to Teach Conflict Resolution. CoRR (2023)
Michael S. Bernstein, Joon Sung Park, Meredith Ringel Morris, Saleema Amershi, Lydia B. Chilton, Mitchell L. Gordon
Architecting Novel Interactions with Generative AI Models. UIST (Adjunct Volume) (2023)
Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael S. Bernstein, Ranjay Krishna
Explanations Can Reduce Overreliance on AI Systems During Decision-Making. Proc. ACM Hum. Comput. Interact. 7 (CSCW1) (2023)
Hancheng Cao, Yujie Lu, Yuting Deng, Daniel A. McFarland, Michael S. Bernstein
Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research. CoRR (2023)
Hancheng Cao, Yujie Lu, Yuting Deng, Daniel A. McFarland, Michael S. Bernstein
Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research. CHI (2023)
Michelle S. Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, James A. Landay, Michael S. Bernstein
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. CHI (2023)
Zixian Ma, Rose Wang, Fei-Fei Li, Michael S. Bernstein, Ranjay Krishna
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. NeurIPS (2022)
Durim Morina, Michael S. Bernstein
A Web-Scale Analysis of the Community Origins of Image Memes. CoRR (2022)
Michelle S. Lam, Mitchell L. Gordon, Danaë Metaxa, Jeffrey T. Hancock, James A. Landay, Michael S. Bernstein
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick, Amy X. Zhang, Michael S. Bernstein
Comparing the Perceived Legitimacy of Content Moderation Processes: Contractors, Algorithms, Expert Panels, and Digital Juries. CoRR (2022)
Joon Sung Park, Joseph Seering, Michael S. Bernstein
Measuring the Prevalence of Anti-Social Behavior in Online Communities. CoRR (2022)
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CoRR (2022)
Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick, Amy X. Zhang, Michael S. Bernstein
Comparing the Perceived Legitimacy of Content Moderation Processes: Contractors, Algorithms, Expert Panels, and Digital Juries. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI (2022)
Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine, Michael S. Bernstein
A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. UIST (2022)
Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. CoRR (2022)
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
Evaluating Human-Language Model Interaction. CoRR (2022)
Zixian Ma, Rose Wang, Li Fei-Fei, Michael S. Bernstein, Ranjay Krishna
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. CoRR (2022)
Joon Sung Park, Joseph Seering, Michael S. Bernstein
Measuring the Prevalence of Anti-Social Behavior in Online Communities. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine, Michael S. Bernstein
A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration. CoRR (2022)
Joon Sung Park, Joseph Seering, Michael S. Bernstein
Measuring the Prevalence of Anti-Social Behavior in Online Communities. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Durim Morina, Michael S. Bernstein
A Web-Scale Analysis of the Community Origins of Image Memes. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Michelle S. Lam, Mitchell L. Gordon, Danaë Metaxa, Jeffrey T. Hancock, James A. Landay, Michael S. Bernstein
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris
Understanding the Representation and Representativeness of Age in AI Data Sets. CoRR (2021)
Jacob Ritchie, Mark E. Whiting, Sorathan Chaturapruek, J. D. Zamfirescu-Pereira, Madhav Marathe, Achla Marathe, Stephen G. Eubank, Michael S. Bernstein
Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report. CoRR (2021)
Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein
Visual Intelligence through Human Interaction. CoRR (2021)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris
Understanding the Representation and Representativeness of Age in AI Data Sets. AIES (2021)
Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CoRR (2021)
Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. CHI (2021)
Xinlan Emily Hu, Mark E. Whiting, Michael S. Bernstein
Can Online Juries Make Consistent, Repeatable Decisions? CHI (2021)
Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CHI (2021)
Michael S. Bernstein, Margaret Levi, David Magnus, Betsy Rajala, Debra Satz, Charla Waeiss
ESR: Ethics and Society Review of Artificial Intelligence Research. CoRR (2021)
Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. CoRR (2020)
Michael S. Bernstein, Irene Greif, Wendy E. Mackay, Hiroshi Ishii, Jonathan Grudin, Karrie Karahalios, Meredith Ringel Morris, Aniket Kittur, Jaime Teevan, Amy X. Zhang, Niloufar Salehi
UIST+CSCW: A Celebration of Systems Research in Collaborative and Social Computing. UIST (2020)
Amy X. Zhang, Grant Hugh, Michael S. Bernstein
PolicyKit: Building Governance in Online Communities. UIST (2020)
Mark E. Whiting, Irena Gao, Michelle Xing, N'godjigui Junior Diarrassouba, Tonya Nguyen, Michael S. Bernstein
Parallel Worlds: Repeated Initializations of the Same Team to Improve Team Viability. Proc. ACM Hum. Comput. Interact. 4 (CSCW) (2020)
Amy X. Zhang, Grant Hugh, Michael S. Bernstein
PolicyKit: Building Governance in Online Communities. CoRR (2020)
Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N'godjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein
My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction. Proc. ACM Hum. Comput. Interact. 4 (CSCW3) (2020)
Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio
Establishing an evaluation metric to quantify climate change image realism. Mach. Learn. Sci. Technol. 1 (2) (2020)
Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N'godjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein
My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction. CoRR (2020)
Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Information Maximizing Visual Question Generation. CVPR (2019)
Geza Kovacs, Drew Mylander Gregory, Zilin Ma, Zhengxuan Wu, Golrokh Emami, Jacob Ray, Michael S. Bernstein
Conservation of Procrastination: Do Productivity Interventions Save Time Or Just Redistribute It? CHI (2019)
Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Deep Bayesian Active Learning for Multiple Correct Outputs. CoRR (2019)
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. NeurIPS (2019)
Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio
Establishing an Evaluation Metric to Quantify Climate Change Image Realism. CoRR (2019)
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
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms. CoRR (2019)
Ali Alkhatib, Michael S. Bernstein
Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions. CHI (2019)
Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
Scene Graph Prediction with Limited Labels. ICCV Workshops (2019)
Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. CoRR (2019)
Mark E. Whiting, Allie Blaising, Chloe Barreau, Laura Fiuza, Nik Marda, Melissa A. Valentine, Michael S. Bernstein
Did It Have To End This Way?: Understanding The Consistency of Team Fracture. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Information Maximizing Visual Question Generation. CoRR (2019)
Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. ICCV Workshops (2019)
Michelle S. Lam, Grace B. Young, Catherine Y. Xu, Ranjay Krishna, Michael S. Bernstein
Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations. CHI Extended Abstracts (2019)
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein
HYPE: Human eYe Perceptual Evaluation of Generative Models. CoRR (2019)
Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
Scene Graph Prediction with Limited Labels. CoRR (2019)
Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
Scene Graph Prediction With Limited Labels. ICCV (2019)
Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael S. Bernstein
AI-Based Request Augmentation to Increase Crowdsourcing Participation. HCOMP (2019)
Mark E. Whiting, Grant Hugh, Michael S. Bernstein
Fair Work: Crowd Work Minimum Wage with One Line of Code. HCOMP (2019)
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein
HYPE: Human-eYe Perceptual Evaluation of Generative Models. DGS@ICLR (2019)
Ranjay Krishna, Donsuk Lee, Li Fei-Fei, Michael S. Bernstein
Engagement Learning: Expanding Visual Knowledge by Engaging Online Participants. UIST (Adjunct Volume) (2018)
Niloufar Salehi, Michael S. Bernstein
Hive: Collective Design Through Network Rotation. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein
Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Ethan Fast, Binbin Chen, Julia Mendelsohn, Jonathan Bassen, Michael S. Bernstein
Iris: A Conversational Agent for Complex Tasks. CHI (2018)
Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei
Referring Relationships. CoRR (2018)
Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei
Referring Relationships. CVPR (2018)
Niloufar Salehi, Michael S. Bernstein
Ink: Increasing Worker Agency to Reduce Friction in Hiring Crowd Workers. ACM Trans. Comput. Hum. Interact. 25 (2) (2018)
Sharon Zhou, Tong Mu, Karan Goel, Michael S. Bernstein, Emma Brunskill
Shared Autonomy for an Interactive AI System. UIST (Adjunct Volume) (2018)
Sharon Zhou, Melissa A. Valentine, Michael S. Bernstein
In Search of the Dream Team: Temporally Constrained Multi-Armed Bandits for Identifying Effective Team Structures. CHI (2018)
Daniela Retelny, Michael S. Bernstein, Melissa A. Valentine
No Workflow Can Ever Be Enough: How Crowdsourcing Workflows Constrain Complex Work. Proc. ACM Hum. Comput. Interact. 1 (CSCW) (2017)
Nicolas Kokkalis, Chengdiao Fan, Johannes Roith, Michael S. Bernstein, Scott R. Klemmer
MyriadHub: Efficiently Scaling Personalized Email Conversations with Valet Crowdsourcing. CHI (2017)
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
Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design. CoRR (2017)
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. Int. J. Comput. Vis. 123 (1) (2017)
Nicolas Kokkalis, Chengdiao Fan, Thomas Breier, Michael S. Bernstein
Founder Center: Enabling Access to Collective Social Capital. CSCW (2017)
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
Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms. CSCW (2017)
Justin Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. CoRR (2017)
Melissa A. Valentine, Daniela Retelny, Alexandra To, Negar Rahmati, Tulsee Doshi, Michael S. Bernstein
Flash Organizations: Crowdsourcing Complex Work by Structuring Crowds As Organizations. CHI (2017)
Niloufar Salehi, Andrew McCabe, Melissa A. Valentine, Michael S. Bernstein
Huddler: Convening Stable and Familiar Crowd Teams Despite Unpredictable Availability. CSCW (2017)
Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality. CSCW (2017)
Ethan Fast, Binbin Chen, Michael S. Bernstein
Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis. IJCAI (2017)
Zhiyuan Lin, Niloufar Salehi, Bowen Yao, Yiqi Chen, Michael S. Bernstein
Better When It Was Smaller? Community Content and Behavior After Massive Growth. ICWSM (2017)
Joy Kim, Maneesh Agrawala, Michael S. Bernstein
Mosaic: Designing Online Creative Communities for Sharing Works-in-Progress. CSCW (2017)
Ethan Fast, Binbin Chen, Julia Mendelsohn, Jonathan Bassen, Michael S. Bernstein
Iris: A Conversational Agent for Complex Tasks. CoRR (2017)
Ali Alkhatib, Michael S. Bernstein, Margaret Levi
Examining Crowd Work and Gig Work Through The Historical Lens of Piecework. CHI (2017)
Joy Kim, Sarah Sterman, Allegra Argent Beal Cohen, Michael S. Bernstein
Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision. CSCW (2017)
Justin Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. CSCW (2017)
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
The Daemo Crowdsourcing Marketplace. CSCW Companion (2017)
Rajan Vaish, Snehalkumar (Neil) S. Gaikwad, Geza Kovacs, Andreas Veit, Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael J. Wilber, Serge J. Belongie, Sharad Goel, James Davis, Michael S. Bernstein
Crowd Research: Open and Scalable University Laboratories. UIST (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael S. Bernstein