Michael Bernstein · Publications

Flash Teams: Leading the Future of AI-Enhanced, On-Demand Work

Melissa Valentine and

Michael Bernstein

MIT Press 2025national bestseller

Creating General User Models from Computer Use

Omar Shaikh, Shardul Sapkota, Shan Rizvi, Eric Horvitz,

Joon Sung Park, Diyi Yang,

Michael Bernstein

UIST 2025best paper honorable mention

Knoll: Creating a Knowledge Ecosystem for Large Language Models

Dora Zhao, Diyi Yang,

Michael Bernstein

UIST 2025

Burst: Collaborative Curation in Connected Social Media Communities

Yutong Zhang, Taeuk Kang, Sydney Yeh, Anavi Baddepudi,

Lindsay Popowski,

Tiziano Piccardi,

Michael Bernstein

CSCW 2025

LLM Social Simulations Are a Promising Research Method

Jacy Reese Anthis, Ryan Liu, Sean M. Richardson, Austin C. Kozlowski, Bernard Koch, James Evans, Erik Brynjolfsson,

Michael Bernstein

ICML Position Papers 2025

Aligning Language Models with Demonstrated Feedback

Omar Shaikh,

Michelle Lam, Joey Hejna, Yijia Shao, Justin Cho,

Michael Bernstein, and Diyi Yang

ICLR 2025

Balancing Producer Fairness and Efficiency via Prior-Weighted Rating System Design

Thomas Ma,

Michael Bernstein, Ramesh Johari, and Nikhil Garg.

ICWSM 2025

More than Marketing? On the Information Value of AI Benchmarks for Practitioners

Amelia Hardy, Anka Reuel, Kiana Jafari Meimandi, Lisa Soder, Allie Griffith, Dylan M. Asmar, Sanmi Koyejo,

Michael Bernstein, Mykel J. Kochenderfer

IUI 2025

Commit: Online Groups with Participation Commitments

Lindsay Popowski, Yutong Zhang,

Michael Bernstein

CSCW 2024best paper honorable mention

Chillbot: Content Moderation in the Backchannel

Joseph Seering, Manas Khadka, Nava Haghighi, Tanya Yang, Zachary Xi,

Michael Bernstein

CSCW 2024best paper honorable mention

The Algorithm and the Org Chart: How Algorithms Can Conflict with Organizational Structures

Melissa A. Valentine, Amanda L. Pratt, Rebecca Hinds,

Michael S. Bernstein

CSCW 2024

Constructing a Classification Scheme - and Its Consequences: A Field Study of Learning to Label Data for Computer Vision in a Hospital Intensive Care Unit

Melissa A. Valentine, Roger E. Bohn, Amanda L. Pratt, Prachee Jain, Sara J. Singer,

Michael Bernstein

CSCW 2024

Clarify: Improving Model Robustness With Natural Language Corrections

Yoonho Lee,

Michelle Lam, Helena Vasconcelos,

Michael Bernstein, Chelsea Finn

UIST 2024

Internal Fractures: The Competing Logics of Social Media Platforms

Angèle Christin,

Michael S. Bernstein, Jeffrey T. Hancock,

Chenyan Jia, Marijn N. Mado, Jeanne L. Tsai, and Chunchen Xu

SM+S 2024

Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM

Michelle S. Lam, Janice Teoh, James Landay, Jeffrey Heer,

Michael Bernstein

CHI 2024

Rehearsal: Simulating Conflict to Teach Conflict Resolution

Omar Shaikh, Valentino Chai, Michele Gelfand, Diyi Yang, and Michael Bernstein

CHI 2024

Form-From: A Design Space of Social Media Systems

Amy X. Zhang,

Michael Bernstein, David Karger, and Mark Ackerman

CSCW 2024

Embedding Democratic Values into Social Media AIs via Societal Objective Functions

Chenyan Jia*,

Michelle S. Lam*, Minh Chau Mai, Jeff Hancock,

Michael S. Bernstein

CSCW 2024best paper

Full professor promotion materials

Michael Bernstein

2024

research statement · teaching statement

Generative Agents: Interactive Simulacra of Human Behavior

Joon Sung Park, Joseph O'Brien, Carrie Cai, Meredith Ringel Morris, Percy Liang,

Michael Bernstein

UIST 2023best paper

Cura: Curation at Social Media Scale

Wanrong He,

Mitchell L. Gordon,

Lindsay Popowski,

Michael Bernstein

CSCW 2023best paper

Commentary: Embedding Societal Values into Social Media Algorithms

Michael Bernstein, Angèle Christin, Jeffrey Hancock, Tatsunori Hashimoto,

Chenyan Jia,

Michelle S. Lam, Nicole Meister, Nathaniel Persily,

Tiziano Piccardi, Martin Saveski, Jeanne Tsai, Johan Ugander, Chunchen Xu

JOTS 2023

On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning

Omar Shaikh, Hongxin Zhang, William Held,

Michael Bernstein, and Diyi Yang

ACL 2023

Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design

Michelle S. Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, James A. Landay,

Michael S. Bernstein

CHI 2023

Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research

Hancheng Cao, Yujie Lu, Yuting Deng, Daniel McFarland,

Michael Bernstein

CHI 2023best paper

Explanations Can Reduce Overreliance on AI Systems During Decision-Making

Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg,

Michael Bernstein,

Ranjay Krishna

CSCW 2023best paper honorable mention

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward

Zixian Ma, Rose Wang, Li Fei-Fei,

Michael Bernstein,

Ranjay Krishna

NeurIPS 2022

End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior

Michelle S. Lam,

Mitchell L. Gordon, Danaë Metaxa, Jeffrey T. Hancock, James A. Landay,

Michael S. Bernstein

CSCW 2022

Measuring the Prevalence of Anti-Social Behavior in Online Communities

Joon Sung Park,

Joseph Seering,

Michael S. Bernstein

CSCW 2022

Social Simulacra: Creating Populated Prototypes for Social Computing Systems

Joon Sung Park,

Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang,

Michael S. Bernstein

UIST 2022

Socially Situated Artificial Intelligence Enables Learning From Human Interaction

Ranjay Krishna, Donsuk Li, Li Fei-Fei,

Michael S. Bernstein

PNAS 2022

Jury Learning: Integrating Dissenting Voices into Machine Learning Models

Mitchell L. Gordon,

Michelle S. Lam,

Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto,

Michael S. Bernstein

CHI 2022Best Paper

A Web-Scale Analysis of the Community Origins of Image Memes

Durim Morina and

Michael S. Bernstein

CSCW 2022

Comparing the Perceived Legitimacy of Content Moderation Processes: Contractors, Algorithms, Expert Panels, and Digital Juries

Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick,

Amy X. Zhang,

Michael S. Bernstein

CSCW 2022

A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration

Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine,

Michael S. Bernstein

CSCW 2022

Pride and Professionalization in Volunteer Moderation: Lessons for Effective Platform–User Collaboration

Joseph Seering, Brianna Dym, Geoff Kaufman,

Michael Bernstein

JOTS 2022

Ethics and Society Review: Ethics Reflection As A Precondition to Research Funding

Michael Bernstein, Margaret Levi, David Magnus, Betsy Rajala, Debra Satz,

Quinn Waeiss

PNAS 2021

Visual Intelligence through Human Interaction

Ranjay Krishna,

Mitchell Gordon, Li Fei-Fei,

Michael Bernstein

AI for HCI: Modern Approach 2021

On the Opportunities and Risks of Foundation Models: §2.5 Interaction

Joon Sung Park, Chris Donahue, Mina Lee, Siddharth Karamcheti, Dorsa Sadigh,

Michael S. Bernstein

arXiv 2021

ESR: Ethics and Society Review of Artificial Intelligence Research

Michael Bernstein, Margaret Levi, David Magnus, Betsy Rajala, Debra Satz,

Quinn Waeiss

arXiv 2021

Understanding the Representation and Representativeness of Age in AI Data Sets

Joon Sung Park,

Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris

AIES 2021

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality

Mitchell Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto,

Michael Bernstein

CHI 2021

Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently

Geza Kovacs, Zhengxuan Wu,

Michael Bernstein

CHI 2021

Can Online Juries Make Consistent, Repeatable Decisions?

Xinlan Emily Hu,

Mark Whiting,

Michael Bernstein

CHI 2021

PolicyKit: Building Governance in Online Communities

Amy X. Zhang, Grant Hugh,

Michael Bernstein

UIST 2020

video · slides · project site

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, Ngodjigui Junior Diarrassouba,

Mark Whiting,

Michael Bernstein

CSCW 2020best paper honorable mention

video · slides · project site

Conceptual Metaphors Impact Perceptions of Human-AI Collaboration

Pranav Khadpe,

Ranjay Krishna, Li Fei-Fei, Jeffrey Hancock,

Michael Bernstein

CSCW 2020best paper honorable mention

Parallel Worlds: Repeated Initializations of the Same Team To Improve Team Viability

Mark Whiting, Irena Gao, Michelle Xing, N'godjigui Junior Diarrassouba, Tonya Nguyen,

Michael Bernstein

CSCW 2020

HYPE: Human eYe Perceptual Evaluation of Generative Models

Sharon Zhou*,

Mitchell Gordon*,

Ranjay Krishna, Austin Narcomey, Li Fei-Fei,

Michael Bernstein

NeurIPS 2019Oral (top 0.5%)

Did It Have To End This Way? Understanding the Consistency of Team Fracture

Mark Whiting, Allie Blaising, Chloe Barreau, Laura Fiuza, Nik Marda, Melissa Valentine,

Michael Bernstein

CSCW 2019

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

Mark Whiting, Grant Hugh,

Michael Bernstein

HCOMP 2019best paper honorable mention

AI-based Request Augmentation to Increase Crowdsourcing Participation

Junwon Park,

Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael Bernstein

HCOMP 2019

Scene Graph Prediction with Limited Labels

Vincent Chen, Paroma Varma,

Ranjay Krishna,

Michael Bernstein, Christopher Re, Li Fei-Fei

ICCV 2019

Information Maximizing Visual Question Generation

Ranjay Krishna,

Michael Bernstein, Li Fei-Fei

CVPR 2019

Street-Level Algorithms: A Theory At The Gaps Between Policy and Decisions

Ali Alkhatib and

Michael Bernstein

CHI 2019Best Paper

Conservation of Procrastination: Do Productivity Interventions Save Time or Just Redistribute It?

Geza Kovacs, Drew Mylander Gregory, Zilin Ma, Zhengxuan Wu, Golrokh Emami, Jacob Ray,

Michael Bernstein

CHI 2019

Hive: Collective Design Through Network Rotation

Tenure Materials

Michael Bernstein

2019

research statement · teaching statement

Niloufar Salehi and

Michael Bernstein

CSCW 2018

Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition

Geza Kovacs, Zhengxuan Wu,

Michael Bernstein

CSCW 2018

Referring Relationships

Ranjay Krishna, Ines Chami,

Michael Bernstein, Li Fei-Fei

CVPR 2018

Ink: Increasing Worker Agency to Reduce Friction in Hiring Crowd Workers

Niloufar Salehi and

Michael Bernstein

TOCHI 2018

In Search of the Dream Team: Temporally Constrained Multi-Armed Bandits for Identifying Effective Team Structures

Sharon Zhou, Melissa Valentine,

Michael S. Bernstein

CHI 2018best paper honorable mention

Iris: A Conversational Agent for Complex Tasks

Ethan Fast, Binbin Chen, Julia Mendelsohn, Jonathan Bassen,

Michael S. Bernstein

CHI 2018

No Workflow Can Ever Be Enough: How Crowdsourcing Workflows Constrain Complex Work

Daniela Retelny, Melissa Valentine,

Michael Bernstein

CSCW 2018

Crowd Research: Open and Scalable University Laboratories

Rajan Vaish, Snehalkumar (Neil) S. Gaikwad,

Geza Kovacs, Andreas Veit,

Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael Wilber, Serge Belongie, Sharad Goel, James Davis,

Michael S. Bernstein

UIST 2017best paper honorable mention

Flash Organizations: Crowdsourcing Complex Work by Structuring Crowds As Organizations

Melissa Valentine,

Daniela Retelny, Alexandra To, Negar Rahmati, Tulsee Doshi, Michael Kim, Maxine Fonua,

Michael Bernstein

CHI 2017Best Paper

slides · additional materials

Examining Crowd Work and Gig Work Through The Historical Lens of Piecework

Ali Alkhatib,

Michael Bernstein, Margaret Levi

CHI 2017best paper honorable mention

MyriadHub: Efficiently Scaling Personalized Email Conversations with Valet Crowdsourcing

Nicolas Kokkalis, Chengdiao Fan, Johannes Roith,

Michael S. Bernstein, Scott R. Klemmer

CHI 2017best paper honorable mention

video · project site

Better When It Was Smaller? Community Content and Behavior After Massive Growth

Zhiyuan Lin,

Niloufar Salehi, Bowen Yao, Yiqi Chen,

Michael Bernstein

ICWSM 2017

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li Jia-Li, David Ayman Shamma,

Michael Bernstein, Li Fei-Fei

IJCV 2017

Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions

Justin Cheng,

Michael Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec

CSCW 2017Best Paper

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 Ziulkoski, Dinesh Dhakal, Alexander Stolzoff, Senadhipathige S. Niranga, Mohamed Salih, Akshansh Sinha, Rajan Vaish, Michael S. Bernstein

CSCW 2017

Founder Center: Enabling Access to Collective Social Capital

Nicolas Kokkalis, Chengdiao Fan, Thomas Breier,

Michael Bernstein

CSCW 2017

Mosaic: Designing Online Creative Communities for Sharing Works-in-Progress

Joy Kim, Maneesh Agrawala,

Michael S. Bernstein

CSCW 2017best paper honorable mention

Mechanical Novel: Crowdsourcing Complex Workthrough Reflection and Revision

Joy Kim, Sarah Sterman, Allegra Argent Beal Cohen,

Michael S. Bernstein

CSCW 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, Teogenes 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

CSCW 2017

Huddler: Convening Stable and Familiar Crowd Teams Despite Unpredictable Availability

Niloufar Salehi, Andrew McCabe, Melissa Valentine,

Michael Bernstein

CSCW 2017

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality

Kenji Hata,

Ranjay Krishna, Li Fei-Fei,

Michael Bernstein

CSCW 2017

Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms

Snehalkumar (Neil) S. Gaikwad, Durim Morina, Adam Ginzberg, Catherine Mullings, Shirish Goyal, Dilrukshi Gamage, Christopher Diemert, Mathias Burton, Sharon Zhou, Mark Whiting, Karolina 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

UIST 2016

Meta: Enabling Programming Languages to Learn from the Crowd

Ethan Fast and

Michael Bernstein

UIST 2016

Visual Relationship Detection with Language Priors

Cewu Lu*,

Ranjay Krishna*,

Michael Bernstein, Li Fei-Fei

ECCV 2016oral

Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community

Ethan Fast, Tina Vachovsky,

Michael Bernstein

ICWSM 2016

The Web Is Flat: The Inflation of Uncommon Experiences Online

Danaë Metaxa-Kakavouli, Gili Rusak, Jaime Teevan,

Michael Bernstein

CHI 2016Best Paper (Late-Breaking Work)

Pay It Backward: Per-Task Payments on Crowdsourcing Platforms Reduce Productivity

Kazushi Ikeda and

Michael Bernstein

CHI 2016

Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships

Ryo Suzuki,

Niloufar Salehi,

Michelle S. Lam, Juan C. Marroquin,

Michael S. Bernstein

CHI 2016

Embracing Error to Enable Rapid Crowdsourcing

Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei,

Michael Bernstein

CHI 2016

Augur: Mining Human Behaviors from Fiction to Power Interactive Systems

Ethan Fast, William McGrath, Pranav Rajpurkar,

Michael Bernstein

CHI 2016best paper honorable mention

Empath: Understanding Topic Signals in Large-Scale Text

Ethan Fast, Binbin Chen,

Michael Bernstein

CHI 2016Best Paper

Daemo: a Self-Governed Crowdsourcing Marketplace

Reappointment materials

Michael Bernstein

2015

research statement · teaching statement

S. Gaikwad, D. Morina, R. Nistala, M. Agarwal, A. Cossette, R. Bhanu, S. Savage, V. Narwal, K. Rajpal, J. Regino, A. Mithal, A. Ginzberg, A. Nath, K. R. Ziulkoski, T. Cossette, D. Gamage, A. Richmond-Fuller, R. Suzuki, J. Herrejon, K. V. Le, C. Flores-Saviaga, H. Thilakarathne, K. Gupta, W. Dai, A. Sastry, S. Goyal, T. Rajapakshe, N. Abolhassani, A. Xie, A. Reyes, S. Ingle, V. Jaramillo, M.D. Godinez, W. Angel, M. Godinez, C. Toxtli, J. Flores, A. Gupta, V. Sethia, D. Padilla, K. Milland, K. Setyadi, N. Wajirasena, M. Batagoda, R. Cruz, J. Damon, D. Nekkanti, T. Sarma, M.H. Saleh, G. Gongora-Svartzman, S. Bateni, G. Toledo-Barrera, A. Pena, R. Compton, D. Aariff, L. Palacios, M. P. Ritter, Nisha K.K., A. Kay, J. Uhrmeister, S. Nistala, M. Esfahani, E. Bakiu, C. Diemert, L. Matsumoto, M. Singh, V. Jaramillo-Lopez, K. Patel, R. Krishna, G. Kovacs, R. Vaish, M. Bernstein

UIST 2015

Human-Computer Interaction and Collective Intelligence

Jeffrey Bigham and Michael Bernstein and Eytan Adar

MIT Press 2015

online chapters · project site

Handbook of Collective Intelligence

Thomas Malone and

Michael Bernstein

MIT Press 2015

online chapters

Soylent: A Word Processor with a Crowd Inside

Michael S. Bernstein, Greg Little, Robert C. Miller, Bjoern Hartmann, Mark Ackerman, David R. Karger, David Crowell, and Katrina Panovich

CACM 2015research highlight

Image Retrieval using Scene Graphs

Justin Johnson,

Ranjay Krishna, Michael Stark, Li-Jia Li, David Ayman Shamma,

Michael Bernstein, Li Fei-Fei

CVPR 2015

Motif: Supporting Novice Creativity through Expert Patterns

Joy Kim, Mira Dontcheva, Wilmot Li,

Michael S. Bernstein, Daniela Steinsapir

CHI 2015best paper honorable mention

Apparition: Crowdsourced User Interfaces That Come To Life As You Sketch Them

W.L., Juho Kim, Nicholas Rafter, Onkur Sen, Jeffrey Bigham,

Michael Bernstein

CHI 2015best paper honorable mention

Measuring Crowdsourcing Effort with Error-Time Curves

Justin Cheng, Jaime Teevan,

Michael Bernstein

CHI 2015best paper honorable mention

Break It Down: A Comparison of Macro- and Microtasks

Justin Cheng, Jaime Teevan, Shamsi Iqbal,

Michael Bernstein

CHI 2015best paper honorable mention

We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers

Niloufar Salehi, Lilly Irani,

Michael Bernstein,

Ali Alkhatib, Eva Ogbe, Kristy Milland, Clickhappier

CHI 2015best paper honorable mention

Structure and messaging techniques for online peer learning systems that increase stickiness

Yasmine Kotturi, Chinmay Kulkarni, Michael S. Bernstein, Scott Klemmer

L@S 2015

PeerStudio: Rapid Peer Feedback Emphasizes Revision and Improves Performance

Chinmay Kulkarni, Michael S. Bernstein, Scott Klemmer

L@S 2015

project site · additional materials

Flock: Hybrid Crowd-Machine Learning Classifiers

Justin Cheng and

Michael Bernstein

CSCW 2015best paper honorable mention

Talkabout: Making Distance Matter with Small Groups in Massive Classes

Chinmay Kulkarni, Julia Cambre, Yasmine Kotturi, Michael S. Bernstein, Scott Klemmer

CSCW 2015

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla,

Michael Bernstein, Alexander C. Berg, Li Fei-Fei

IJCV 2015

Context Trees: Crowdsourcing Global Understanding from Local Views

Vasilis Verroios and

Michael Bernstein

HCOMP 2014

Learning Perceptual Kernels for Visualization Design

Çağatay Demiralp,

Michael Bernstein, Jeffrey Heer

InfoVis 2014

Expert Crowdsourcing with Flash Teams

Daniela Retelny, Sebastien Robaszkiewicz, Alexandra To, W.L., Jay Patel, Negar Rahmati, Tulsee Doshi, Melissa Valentine,

Michael Bernstein

UIST 2014best paper award

video · slides · project site

Designing and Deploying Online Field Experiments

Eytan Bakshy, Dean Eckles,

Michael Bernstein

WWW 2014

Scalable Multi-label Annotation

Jia Deng, Olga Russakovsky, Jonathan Krause,

Michael Bernstein, Alex Berg, and Li Fei-Fei

CHI 2014

Twitch Crowdsourcing: Crowd Contributions in Short Bursts of Time

Rajan Vaish, Keith Wyngarden, Jingshu Chen, Brandon Cheung,

Michael Bernstein

CHI 2014

Emergent, Crowd-scale Programming Practice in the IDE

Ethan Fast, Daniel Steffee, Lucy Wang, Joel Brandt,

Michael Bernstein

CHI 2014

Talkabout: Small-group Discussions in Massive Global Classes

Julia Cambre,

Chinmay Kulkarni,

Michael S. Bernstein, Scott R. Klemmer

L@S 2014

Scaling Short-answer Grading by Combining Peer Assessment with Algorithmic Scoring

Chinmay Kulkarni, Richard Socher,

Michael S. Bernstein, Scott R. Klemmer

L@S 2014

Ensemble: Exploring Complementary Strengths of Leaders and Crowds in Creative Collaboration

Joy Kim,

Justin Cheng,

Michael Bernstein

CSCW 2014

Catalyst: Triggering Collective Action with Thresholds

Justin Cheng and

Michael Bernstein

CSCW 2014

Crowd-scale Interactive Formal Reasoning and Analytics

Ethan Fast, Colleen Lee, Alex Aiken,

Michael Bernstein, Daphne Koller, Eric Smith

UIST 2013

Quantifying the Invisible Audience in Social Networks

Michael S. Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer

CHI 2013best paper honorable mention

The Future of Crowd Work

Aniket Kittur, Jeffrey V. Nickerson,

Michael S. Bernstein, Elizabeth M. Gerber, Aaron Shaw, John Zimmerman, Matthew Lease, and John J. Horton

CSCW 2013

EmailValet: Managing Email Overload through Private, Accountable Crowdsourcing

Nicolas Kokkalis, Thomas Köhn, Carl Pfeiffer, Dima Chornyi,

Michael S. Bernstein, Scott R. Klemmer

CSCW 2013

video · slides · project site

Crowd-Powered Systems

Michael Bernstein

PhD 2012George M. Sprowls Award for best doctoral thesis in Computer Science at MIT

job talk video · job talk slides · research statement · teaching statement

Direct Answers for Search Queries in the Long Tail

Michael Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling and Eric Horvitz

chi 2012best paper honorable mention

Analytic Methods for Optimizing Realtime Crowdsourcing

Michael Bernstein, David Karger, Rob Miller, and Joel Brandt

Collective Intelligence 2012

Who Gives A Tweet? Evaluating Microblog Content Value

Paul Andre,

Michael Bernstein, and Kurt Luther

cscw 2012best paper honorable mention

Crowds in Two Seconds: Enabling Realtime Crowd-Powered Interfaces

Michael Bernstein, Joel Brandt, Rob Miller, and David Karger

UIST 2011

video · slides

4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community

Michael Bernstein, Andres Monroy-Hernandez, Drew Harry, Paul Andre, Katrina Panovich, and Greg Vargas

ICWSM 2011best paper award

video · slides · project site

TwitInfo: Aggregating and Visualizing Microblogs for Event Exploration

Adam Marcus,

Michael Bernstein, Osama Badar, David Karger, Samuel Madden, and Rob Miller

CHI 2011

The Trouble with Social Computing Systems Research

Michael Bernstein, Mark Ackerman, Ed H. Chi, and Rob Miller

CHI 2011

PingPong++: Community Customization in Games and Entertainment

Xiao Xiao,

Michael Bernstein, Lining Yao, David Lakatos, Lauren Gust, Kojo Acquah, and Hiroshi Ishii

ACE 2011

Eddi: Interactive Topic-Based Browsing of Social Status Streams

Michael Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, and Ed H. Chi

UIST 2010

video · slides · project site

Soylent: A Word Processor with a Crowd Inside

Michael Bernstein, Greg Little, Rob Miller, Bjoern Hartmann, Mark Ackerman, David Karger, David Crowell, and Katrina Panovich

UIST 2010best student paper lasting impact award

video · slides · project site

Personalization via Friendsourcing

Michael Bernstein, Desney Tan, Greg Smith, Mary Czerwinski, and Eric Horvitz

TOCHI 2010

video · slides · project site

Short and Tweet: Experiments on Recommending Content from Information Streams

Jilin Chen, Rowan Nairn, Les Nelson,

Michael Bernstein, and Ed Chi

CHI 2010

Enhancing Directed Content Sharing on the Web

Michael Bernstein, Adam Marcus, David Karger, and Rob Miller

CHI 2010

A Torrent of Tweets: Managing Information Overload in Online Social Streams

Michael Bernstein, Sanjay Kairam, Bongwon Suh, Lichan Hong, and Ed H. Chi

CHI 2010

Who Am I? Two-Four-Six-Oh-One!

Michael Bernstein, Adam Marcus, David Karger, and Rob Miller

cscw 2010

Collabio: A Game for Annotating People within Social Networks

Michael Bernstein, Desney Tan, Greg Smith, Mary Czerwinski, and Eric Horvitz

UIST 2009

video · slides · project site

Note to Self: Examining Personal Information Keeping in a Lightweight Note-Taking Tool

Max Van Kleek,

Michael Bernstein, Katrina Panovich, Greg Vargas, David Karger, and mc schraefel

CHI 2009best paper honorable mention

CHIstory

Michael Bernstein, Paul Andre, Kurt Luther, Erika Shehan Poole, Erin Solovey, Sharoda Paul, Shaun Kane, and Jonathan Grudin

CHI 2009golden mouse award

Inky: A Sloppy Command Line for the Web with Rich Visual Feedback

Rob Miller, Vikki Chou,

Michael Bernstein, Greg Little, Max Van Kleek, David Karger, and mc schraefel

UIST 2008

video · slides · project site

Taskpose: Exploring Fluid Boundaries via an Associative Window Visualization

Michael Bernstein, Jeff Shrager, and Terry Winograd

UIST 2008

Information Scraps: How and Why Information Eludes our Personal Information Management Tools

Michael Bernstein, Max Van Kleek, David Karger, and mc schraefel

TOIS 2008

Information Scraps: Understanding and Design

Michael Bernstein

Masters Thesis 2008

Simplifying Knowledge Creation and Access for End-Users on the Semantic Web

Max Van Kleek,

Michael Bernstein, Paul Andre, Mikko Pertunnen, David Karger, and mc schraefel

CHI 2008

Evolution and Evaluation of an Information Scrap Manager

Michael Bernstein, Max Van Kleek, mc schraefel, and David Karger

CHI 2008

Wicked Problems and Gnarly Results: Reflecting on Design and Evaluation Methods for Idiosyncratic Personal Information Management Tasks

Michael Bernstein, Max Van Kleek, Deepali Khushraj, Rajeev Nayak, Curtis Liu, David Karger, and mc schraefel

MIT CSAIL 2008

GUI — Phooey!: The Case for Text Input

Max Van Kleek,

Michael Bernstein, David Karger, and mc schraefel

UIST 2007

video · slides · project site

Personal Information Management, Personal Information Retrieval?

Michael Bernstein, Max Van Kleek, David Karger, and mc schraefel

HCIR 2007