ChatBench: From Static Benchmarks to Human-AI Evaluation
Serina Chang, Ashton Anderson, Jake Hofman
April 2025
Return to Microsoft Research Lab – New York City
Computational Social Science
论文与出版物
按年份分类的论文与出版物
-
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An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability
Sam Zhang, Patrick R. Heck, Michelle N. Meyer, Christopher F. Chabris, Daniel G. Goldstein, Jake M. Hofman
Proceeding of the National Academy of Sciences | August 2023, 第 120 卷(33)
-
Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts.
Nikhil Garg, Wes Gurnee, David Rothschild, David Shmoys
July 2021
Integrating explanation and prediction in computational social science
Jake Hofman, Duncan J Watts, Susan Athey, Filiz Garip, Thomas L Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J Salganik, Simine Vazire, Alessandro Vespignani, Tal Yarkoni
Nature | June 2021, 第 595 卷(7866): pp. 181-188
American Politicians Diverge Systematically, Indian Politicians do so Chaotically: Text Embeddings as a Window into Party Polarization
Amar Budhiraja, Ankur Sharma, Rahul Agrawal, Monojit Choudhury, Joyojeet Pal
Proceedings of the International AAAI Conference on Web and Social Media | June 2021
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach
CHI 2021 | May 2021
-
How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Jake Hofman, Daniel G. Goldstein, Jessica Hullman
CHI 2020 | April 2020
-
Toward Fairness in AI for People with Disabilities: A Research Roadmap
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris
ASSETS 2019 Workshop on AI Fairness for People with Disabilities | October 2019
Learning When to Stop Searching
Daniel G. Goldstein, Siddharth Suri
Management Science | August 2019
Improving fairness in machine learning systems: What do industry practitioners need?
Ken Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miro Dudík, Hanna Wallach
2019 ACM CHI Conference on Human Factors in Computing Systems | June 2019
Using Search Queries to Understand Health Information Needs in Africa
Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz
Proceedings of the International AAAI Conference on Web and Social Media | June 2019
Competitive Advertising on Brand Search: Traffic Stealing and Customer Selection
Andrey Simonov, Shawndra Hill
SSRN Electronic Journal | May 2019
Understanding the Effect of Accuracy on Trust in Machine Learning Models
Ming Ying, Jennifer Wortman Vaughan, Hanna Wallach
2019 ACM CHI Conference on Human Factors in Computing Systems | May 2019
Honorable Mention Award at CHI 2019
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alex Chouldechova, Sahin Geyik, krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
NAACL 2019 | April 2019
Best Paper Award, NAACL 2019
President Trump Stress Disorder: Partisanship, Ethnicity, and Expressive Reporting of Mental Distress After the 2016 Election
David Rothschild, Elad Yom-Tov, Shawndra Hill
SAGE Open | March 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alex Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai
FAT* ’19: Conference on Fairness, Accountability, and Transparency | January 2019
-
Perspective annotation for numerical representations
Jake Hofman, Miro Dudík, Daniel G. Goldstein
December 2018
Split-door criterion: Identification of causal effects through auxiliary outcomes
Amit Sharma, Jake Hofman, Duncan Watts
Annals of Applied Statistics | December 2018, 第 12 卷(4): pp. 2699-2733
Explanation, Prediction, And Causality: Three Sides Of The Same Coin?
Duncan Watts, Emorie D Beck, Elisa Jayne Bienenstock, Jake Bowers, Aaron Frank, Anthony Grubesic, Jake Hofman, Julia M. Rohrer, Matthew Salganik
October 2018
The Influence of Context on Online Shopping Behavior: The Case of Concurrent TV Consumption
Oliver Hinz, Shawndra Hill, Amit Sharma
SSRN Electronic Journal | August 2018
The Hyperedge Event Model
Bomin Kim, Aaron Schein, Bruce A. Desmarais, Hanna Wallach
July 2018
Transaction Analyzer Using Graph-Oriented Data Structures
Abhishek Banerjee, Daniel G. Goldstein, Roberto Arnetoli, Pravin Darbare, Kevin Lai, Sanjay Saraf
July 2018
US Patent Application
To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand
Christopher Riederer, Jake Hofman, Daniel G. Goldstein
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems | April 2018
A Reductions Approach to Fair Classification
Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik, John Langford, Hanna Wallach
FATML’17 | March 2018
-
Learning in the Repeated Secretary Problem
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James Wright
ACM Economics & Computation 2017 (EC’17) | June 2017
VoxPL: Programming with the Wisdom of the Crowd
Daniel W. Barowy, Emery D. Berger, Daniel G. Goldstein, Siddharth Suri
Proceedings of CHI 2017 | May 2017
ISBN: 978-1-4503-4655-9/17/05
Auditing Search Engines for Differential Satisfaction Across Demographics
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna Wallach, Emine Yilmaz
Proceedings of the 26th International Conference on World Wide Web (Industry Track) | April 2017
Prediction and explanation in social systems
Jake Hofman, Amit Sharma, Duncan Watts
Science | February 2017, 第 355 卷: pp. 486-488
Transparency by Conformity: A Field Experiment Evaluating Openness in Local Governments
James ben-Aaron, Matthew Denny, Bruce Desmarais, Hanna Wallach
Public Administration Review | February 2017, 第 77 卷: pp. 68-77
-
Detecting and Characterizing Events
Allison June-Barlow Chaney, Hanna Wallach, Matthew Connelly, David M. Blei
EMNLP | November 2016
Flexible Models for Microclustering with Application to Entity Resolution
Glacomo Zanella, Brenda Betancourt, Hanna Wallach, Jeffrey Miller, Abbas Zaidi, Rebecca C. Steorts
30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain | October 2016
Television and Digital Advertising: Second Screen Response and Coordination with Sponsored Search
Shawndra Hill, Gordon Burtch, Michael Barto
SSRN Electronic Journal | October 2016
The Social Dynamics of Language Change in Online Networks
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Fernando Diaz, Hanna Wallach, Jacob Eisenstein
International Conference on Social Informatics: SocInfo 2016 | October 2016
Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI
Sarah Bird, Solon Barocas, Kate Crawford, Hanna Wallach
Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), New York University | October 2016
Subjective beliefs about the income distribution and preferences for redistribution
Social Choice and Welfare | September 2016, pp. 25-61
Assessing Human Error Against a Benchmark of Perfection
Ashton Anderson, Jon Kleinberg, Sendhil Mullainathan
KDD 2016 | June 2016
Improving Comprehension of Numbers in the News
Pablo J. Barrio, Daniel G. Goldstein, Jake Hofman
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
ISBN: 978-1-4503-3362-7
Poisson–Gamma Dynamical Systems
Aaron Schein, Hanna Wallach, Mingyuan Zhou
Advances in Neural Information Processing Systems 29 (NIPS 2016) | May 2016
The Big Distraction: The Impact of Popular TV on Online Retail Sales
Oliver Hinz, Shawndra Hill, Ju-Young Kim
Management Information Systems Quarterly | May 2016
An Experimental Study of Team Size and Performance on a Complex Task
Duncan Watts, Andrew Mao, Siddharth Suri
PLoS One | April 2016, 第 11 卷
The Communication Network Within the Crowd
Ming Yin, Mary L. Gray, Siddharth Suri, Jennifer Wortman Vaughan
25th International World Wide Web Conference (WWW) 2016 | April 2016
Bag of What? Simple Noun Phrase Extraction for Text Analysis
Abram Handler, Matthew Denny, Hanna Wallach, Brendan T. O'Connor
NLP+CSS@EMNLP | April 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna Wallach
33rd International Conference on Machine Learning (ICML 2016) | April 2016
Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter
Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts
Proceedings of the 25th International Conference on World Wide Web | April 2016
Computational Social Science: Toward a Collaborative Future
Computational Social Science: Discovery and Prediction | 作者：Cambridge University Press | 2016 | Computational Social Science: Discovery and Prediction edition
The Crowd is a Collaborative Network
Mary L. Gray, Siddharth Suri, Syed Shoaib Ali, Deepti Kulkarni
Computer-Supported Cooperative Work and Social Computing | February 2016
Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
PlosONE | January 2016, 第 11 卷
-
Accounting for Market Frictions and Power Asymmetries in Online Labor Markets
Sara C. Kingsley, Mary L. Gray, Siddharth Suri
Policy and Internet | December 2015, 第 7 卷: pp. 383-400
Human Judgments In Hiring Decisions Based On Online Social Network Profiles
Yoram Bachrach
DSAA (Data Science and Advanced Analytics) | October 2015
Expertise in the Field Fades in the Lab
Etan Green, Justin Rao, David Rothschild
September 2015
Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department
Kevin A Padrez, Lyle Ungar, Hansen Andrew Schwartz, Robert J Smith, Shawndra Hill, Tadas Antanavicius, Dana M Brown, Patrick Crutchley, David A Asch, Raina M Merchant
BMJ quality & safety | September 2015, pp. bmjqs–2015
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts
Aaron Schein, John Paisley, David M. Blei, Hanna Wallach
Proceedings of the Twenty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2015
Also presented at the Tenth Conference on Bayesian Nonparametrics, 2015
The Structural Virality of Online Diffusion
Sharad Goel, Jake Hofman, Duncan Watts, Ashton Anderson
Management Science | July 2015, 第 62 卷(1): pp. 180-196
Estimating the Causal Impact of Recommendation Systems from Observational Data
Amit Sharma, Jake Hofman, Duncan Watts
Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
ISBN: 978-1-4503-3410-5
Incentivizing High Quality Crowdwork
Chien-Ju Jo, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan
International World Wide Web Conference | May 2015
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
F. Guo, C. Blundell, Hanna Wallach, K. Heller
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics | May 2015
Also presented at the Tenth Conference on Bayesian Nonparametrics, 2015; the Fifth Annual Text as Data Conference, 2014
-
The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
Forecasting elections with non-representative polls
Wei Wang, David Rothschild, Sharad Goel, Andrew Gelman
International Journal of Forecasting | September 2014
Online And Social Media Data As A Flawed Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
MSR-TR-2014-159 | May 2014
Predicting Individual Behavior with Social Networks
Sharad Goel, Daniel G. Goldstein
January 2014
-
Better Human Computation Through Principled Voting.
Andrew Mao, Ariel D. Procaccia, Yiling Chen
AAAI | June 2013
AAAI
Volunteering Versus Work for Pay: Incentives and Tradeoffs In Crowdsourcing
Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E Schwamb, Chris J Lintott, Arfon M Smith
First AAAI Conference on Human Computation and Crowdsourcing | March 2013
Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing
Andrew Mao, Ece Kamar, Eric Horvitz
First AAAI Conference on Human Computation and Crowdsourcing | March 2013
Talkographics: Using What Viewers Say Online to Calculate Audience Affinity Networks for Social TV-based Recommendations
Shawndra Hill, Adrian Benton
Wharton School of Business | January 2013
(SSRN 2273381 )
-
Topic-Partitioned Multinetwork Embeddings
P. Krafft, J. Moore, B. Desmarais, H. Wallach
Advances in Neural Information Processing Systems Twenty-Five | December 2012
Advances in Neural Information Processing Systems Twenty-Five
Also presented at the Workshop on Information in Networks, 2012; the Third New Directions in Analyzing Text as Data Conference, 2012; the Fifth Annual Political Networks Conference, 2012
按研究领域分类的论文与出版物
-
ChatBench: From Static Benchmarks to Human-AI Evaluation
Serina Chang, Ashton Anderson, Jake Hofman
April 2025
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach
CHI 2021 | May 2021
How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
Toward Fairness in AI for People with Disabilities: A Research Roadmap
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris
ASSETS 2019 Workshop on AI Fairness for People with Disabilities | October 2019
Improving fairness in machine learning systems: What do industry practitioners need?
Ken Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miro Dudík, Hanna Wallach
2019 ACM CHI Conference on Human Factors in Computing Systems | June 2019
Understanding the Effect of Accuracy on Trust in Machine Learning Models
Ming Ying, Jennifer Wortman Vaughan, Hanna Wallach
2019 ACM CHI Conference on Human Factors in Computing Systems | May 2019
Honorable Mention Award at CHI 2019
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alex Chouldechova, Sahin Geyik, krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
NAACL 2019 | April 2019
Best Paper Award, NAACL 2019
Perspective annotation for numerical representations
Jake Hofman, Miro Dudík, Daniel G. Goldstein
December 2018
Split-door criterion: Identification of causal effects through auxiliary outcomes
Amit Sharma, Jake Hofman, Duncan Watts
Annals of Applied Statistics | December 2018, 第 12 卷(4): pp. 2699-2733
To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand
Christopher Riederer, Jake Hofman, Daniel G. Goldstein
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems | April 2018
A Reductions Approach to Fair Classification
Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik, John Langford, Hanna Wallach
FATML’17 | March 2018
Flexible Models for Microclustering with Application to Entity Resolution
Glacomo Zanella, Brenda Betancourt, Hanna Wallach, Jeffrey Miller, Abbas Zaidi, Rebecca C. Steorts
30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain | October 2016
The Social Dynamics of Language Change in Online Networks
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Fernando Diaz, Hanna Wallach, Jacob Eisenstein
International Conference on Social Informatics: SocInfo 2016 | October 2016
Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI
Sarah Bird, Solon Barocas, Kate Crawford, Hanna Wallach
Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), New York University | October 2016
Assessing Human Error Against a Benchmark of Perfection
Ashton Anderson, Jon Kleinberg, Sendhil Mullainathan
KDD 2016 | June 2016
Poisson–Gamma Dynamical Systems
Aaron Schein, Hanna Wallach, Mingyuan Zhou
Advances in Neural Information Processing Systems 29 (NIPS 2016) | May 2016
The Communication Network Within the Crowd
Ming Yin, Mary L. Gray, Siddharth Suri, Jennifer Wortman Vaughan
25th International World Wide Web Conference (WWW) 2016 | April 2016
Human Judgments In Hiring Decisions Based On Online Social Network Profiles
Yoram Bachrach
DSAA (Data Science and Advanced Analytics) | October 2015
-
ChatBench: From Static Benchmarks to Human-AI Evaluation
Serina Chang, Ashton Anderson, Jake Hofman
April 2025
How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Jake Hofman, Daniel G. Goldstein, Jessica Hullman
CHI 2020 | April 2020
Toward Fairness in AI for People with Disabilities: A Research Roadmap
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris
ASSETS 2019 Workshop on AI Fairness for People with Disabilities | October 2019
Improving fairness in machine learning systems: What do industry practitioners need?
Ken Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miro Dudík, Hanna Wallach
2019 ACM CHI Conference on Human Factors in Computing Systems | June 2019
Understanding the Effect of Accuracy on Trust in Machine Learning Models
Ming Ying, Jennifer Wortman Vaughan, Hanna Wallach
2019 ACM CHI Conference on Human Factors in Computing Systems | May 2019
Honorable Mention Award at CHI 2019
VoxPL: Programming with the Wisdom of the Crowd
Daniel W. Barowy, Emery D. Berger, Daniel G. Goldstein, Siddharth Suri
Proceedings of CHI 2017 | May 2017
ISBN: 978-1-4503-4655-9/17/05
The Big Distraction: The Impact of Popular TV on Online Retail Sales
Oliver Hinz, Shawndra Hill, Ju-Young Kim
Management Information Systems Quarterly | May 2016
Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department
Kevin A Padrez, Lyle Ungar, Hansen Andrew Schwartz, Robert J Smith, Shawndra Hill, Tadas Antanavicius, Dana M Brown, Patrick Crutchley, David A Asch, Raina M Merchant
BMJ quality & safety | September 2015, pp. bmjqs–2015
Estimating the Causal Impact of Recommendation Systems from Observational Data
Amit Sharma, Jake Hofman, Duncan Watts
Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
ISBN: 978-1-4503-3410-5
The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
Better Human Computation Through Principled Voting.
Andrew Mao, Ariel D. Procaccia, Yiling Chen
AAAI | June 2013
AAAI
Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing
Andrew Mao, Ece Kamar, Eric Horvitz
First AAAI Conference on Human Computation and Crowdsourcing | March 2013
-
An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability
Sam Zhang, Patrick R. Heck, Michelle N. Meyer, Christopher F. Chabris, Daniel G. Goldstein, Jake M. Hofman
Proceeding of the National Academy of Sciences | August 2023, 第 120 卷(33)
Integrating explanation and prediction in computational social science
Jake Hofman, Duncan J Watts, Susan Athey, Filiz Garip, Thomas L Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J Salganik, Simine Vazire, Alessandro Vespignani, Tal Yarkoni
Nature | June 2021, 第 595 卷(7866): pp. 181-188
American Politicians Diverge Systematically, Indian Politicians do so Chaotically: Text Embeddings as a Window into Party Polarization
Amar Budhiraja, Ankur Sharma, Rahul Agrawal, Monojit Choudhury, Joyojeet Pal
Proceedings of the International AAAI Conference on Web and Social Media | June 2021
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach
CHI 2021 | May 2021
How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Jake Hofman, Daniel G. Goldstein, Jessica Hullman
CHI 2020 | April 2020
Using Search Queries to Understand Health Information Needs in Africa
Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz
Proceedings of the International AAAI Conference on Web and Social Media | June 2019
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alex Chouldechova, Sahin Geyik, krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
NAACL 2019 | April 2019
Best Paper Award, NAACL 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alex Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai
FAT* ’19: Conference on Fairness, Accountability, and Transparency | January 2019
Explanation, Prediction, And Causality: Three Sides Of The Same Coin?
Duncan Watts, Emorie D Beck, Elisa Jayne Bienenstock, Jake Bowers, Aaron Frank, Anthony Grubesic, Jake Hofman, Julia M. Rohrer, Matthew Salganik
October 2018
The Influence of Context on Online Shopping Behavior: The Case of Concurrent TV Consumption
Oliver Hinz, Shawndra Hill, Amit Sharma
SSRN Electronic Journal | August 2018
Transaction Analyzer Using Graph-Oriented Data Structures
Abhishek Banerjee, Daniel G. Goldstein, Roberto Arnetoli, Pravin Darbare, Kevin Lai, Sanjay Saraf
July 2018
US Patent Application
Prediction and explanation in social systems
Jake Hofman, Amit Sharma, Duncan Watts
Science | February 2017, 第 355 卷: pp. 486-488
Transparency by Conformity: A Field Experiment Evaluating Openness in Local Governments
James ben-Aaron, Matthew Denny, Bruce Desmarais, Hanna Wallach
Public Administration Review | February 2017, 第 77 卷: pp. 68-77
Detecting and Characterizing Events
Allison June-Barlow Chaney, Hanna Wallach, Matthew Connelly, David M. Blei
EMNLP | November 2016
Television and Digital Advertising: Second Screen Response and Coordination with Sponsored Search
Shawndra Hill, Gordon Burtch, Michael Barto
SSRN Electronic Journal | October 2016
Improving Comprehension of Numbers in the News
Pablo J. Barrio, Daniel G. Goldstein, Jake Hofman
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
ISBN: 978-1-4503-3362-7
The Big Distraction: The Impact of Popular TV on Online Retail Sales
Oliver Hinz, Shawndra Hill, Ju-Young Kim
Management Information Systems Quarterly | May 2016
An Experimental Study of Team Size and Performance on a Complex Task
Duncan Watts, Andrew Mao, Siddharth Suri
PLoS One | April 2016, 第 11 卷
The Communication Network Within the Crowd
Ming Yin, Mary L. Gray, Siddharth Suri, Jennifer Wortman Vaughan
25th International World Wide Web Conference (WWW) 2016 | April 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna Wallach
33rd International Conference on Machine Learning (ICML 2016) | April 2016
Bag of What? Simple Noun Phrase Extraction for Text Analysis
Abram Handler, Matthew Denny, Hanna Wallach, Brendan T. O'Connor
NLP+CSS@EMNLP | April 2016
Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter
Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts
Proceedings of the 25th International Conference on World Wide Web | April 2016
Computational Social Science: Toward a Collaborative Future
Computational Social Science: Discovery and Prediction | 作者：Cambridge University Press | 2016 | Computational Social Science: Discovery and Prediction edition
The Crowd is a Collaborative Network
Mary L. Gray, Siddharth Suri, Syed Shoaib Ali, Deepti Kulkarni
Computer-Supported Cooperative Work and Social Computing | February 2016
Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
PlosONE | January 2016, 第 11 卷
Accounting for Market Frictions and Power Asymmetries in Online Labor Markets
Sara C. Kingsley, Mary L. Gray, Siddharth Suri
Policy and Internet | December 2015, 第 7 卷: pp. 383-400
Human Judgments In Hiring Decisions Based On Online Social Network Profiles
Yoram Bachrach
DSAA (Data Science and Advanced Analytics) | October 2015
Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department
Kevin A Padrez, Lyle Ungar, Hansen Andrew Schwartz, Robert J Smith, Shawndra Hill, Tadas Antanavicius, Dana M Brown, Patrick Crutchley, David A Asch, Raina M Merchant
BMJ quality & safety | September 2015, pp. bmjqs–2015
Expertise in the Field Fades in the Lab
Etan Green, Justin Rao, David Rothschild
September 2015
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts
Aaron Schein, John Paisley, David M. Blei, Hanna Wallach
Proceedings of the Twenty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2015
Also presented at the Tenth Conference on Bayesian Nonparametrics, 2015
The Structural Virality of Online Diffusion
Sharad Goel, Jake Hofman, Duncan Watts, Ashton Anderson
Management Science | July 2015, 第 62 卷(1): pp. 180-196
Estimating the Causal Impact of Recommendation Systems from Observational Data
Amit Sharma, Jake Hofman, Duncan Watts
Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
ISBN: 978-1-4503-3410-5
Incentivizing High Quality Crowdwork
Chien-Ju Jo, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan
International World Wide Web Conference | May 2015
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
F. Guo, C. Blundell, Hanna Wallach, K. Heller
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics | May 2015
Also presented at the Tenth Conference on Bayesian Nonparametrics, 2015; the Fifth Annual Text as Data Conference, 2014
The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
Forecasting elections with non-representative polls
Wei Wang, David Rothschild, Sharad Goel, Andrew Gelman
International Journal of Forecasting | September 2014
Online And Social Media Data As A Flawed Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
MSR-TR-2014-159 | May 2014
Predicting Individual Behavior with Social Networks
Sharad Goel, Daniel G. Goldstein
January 2014
Better Human Computation Through Principled Voting.
Andrew Mao, Ariel D. Procaccia, Yiling Chen
AAAI | June 2013
AAAI
Volunteering Versus Work for Pay: Incentives and Tradeoffs In Crowdsourcing
Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E Schwamb, Chris J Lintott, Arfon M Smith
First AAAI Conference on Human Computation and Crowdsourcing | March 2013
Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing
Andrew Mao, Ece Kamar, Eric Horvitz
First AAAI Conference on Human Computation and Crowdsourcing | March 2013
Talkographics: Using What Viewers Say Online to Calculate Audience Affinity Networks for Social TV-based Recommendations
Shawndra Hill, Adrian Benton
Wharton School of Business | January 2013
(SSRN 2273381 )
Topic-Partitioned Multinetwork Embeddings
P. Krafft, J. Moore, B. Desmarais, H. Wallach
Advances in Neural Information Processing Systems Twenty-Five | December 2012
Advances in Neural Information Processing Systems Twenty-Five
Also presented at the Workshop on Information in Networks, 2012; the Third New Directions in Analyzing Text as Data Conference, 2012; the Fifth Annual Political Networks Conference, 2012
-
Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts.
Nikhil Garg, Wes Gurnee, David Rothschild, David Shmoys
July 2021
Learning When to Stop Searching
Daniel G. Goldstein, Siddharth Suri
Management Science | August 2019
Subjective beliefs about the income distribution and preferences for redistribution
Social Choice and Welfare | September 2016, pp. 25-61
The Big Distraction: The Impact of Popular TV on Online Retail Sales
Oliver Hinz, Shawndra Hill, Ju-Young Kim
Management Information Systems Quarterly | May 2016
Expertise in the Field Fades in the Lab
Etan Green, Justin Rao, David Rothschild
September 2015
Estimating the Causal Impact of Recommendation Systems from Observational Data
Amit Sharma, Jake Hofman, Duncan Watts
Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
ISBN: 978-1-4503-3410-5
Incentivizing High Quality Crowdwork
Chien-Ju Jo, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan
International World Wide Web Conference | May 2015
The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
Predicting Individual Behavior with Social Networks
Sharad Goel, Daniel G. Goldstein
January 2014
Better Human Computation Through Principled Voting.
Andrew Mao, Ariel D. Procaccia, Yiling Chen
AAAI | June 2013
AAAI
Volunteering Versus Work for Pay: Incentives and Tradeoffs In Crowdsourcing
Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E Schwamb, Chris J Lintott, Arfon M Smith
First AAAI Conference on Human Computation and Crowdsourcing | March 2013
Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing
Andrew Mao, Ece Kamar, Eric Horvitz
First AAAI Conference on Human Computation and Crowdsourcing | March 2013
Talkographics: Using What Viewers Say Online to Calculate Audience Affinity Networks for Social TV-based Recommendations
Shawndra Hill, Adrian Benton
Wharton School of Business | January 2013
(SSRN 2273381 )
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American Politicians Diverge Systematically, Indian Politicians do so Chaotically: Text Embeddings as a Window into Party Polarization
Amar Budhiraja, Ankur Sharma, Rahul Agrawal, Monojit Choudhury, Joyojeet Pal
Proceedings of the International AAAI Conference on Web and Social Media | June 2021
The Hyperedge Event Model
Bomin Kim, Aaron Schein, Bruce A. Desmarais, Hanna Wallach
July 2018
Human Judgments In Hiring Decisions Based On Online Social Network Profiles
Yoram Bachrach
DSAA (Data Science and Advanced Analytics) | October 2015
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American Politicians Diverge Systematically, Indian Politicians do so Chaotically: Text Embeddings as a Window into Party Polarization
Amar Budhiraja, Ankur Sharma, Rahul Agrawal, Monojit Choudhury, Joyojeet Pal
Proceedings of the International AAAI Conference on Web and Social Media | June 2021
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alex Chouldechova, Sahin Geyik, krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
NAACL 2019 | April 2019
Best Paper Award, NAACL 2019
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
F. Guo, C. Blundell, Hanna Wallach, K. Heller
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics | May 2015
Also presented at the Tenth Conference on Bayesian Nonparametrics, 2015; the Fifth Annual Text as Data Conference, 2014
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American Politicians Diverge Systematically, Indian Politicians do so Chaotically: Text Embeddings as a Window into Party Polarization
Amar Budhiraja, Ankur Sharma, Rahul Agrawal, Monojit Choudhury, Joyojeet Pal
Proceedings of the International AAAI Conference on Web and Social Media | June 2021
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How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
Toward Fairness in AI for People with Disabilities: A Research Roadmap
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris
ASSETS 2019 Workshop on AI Fairness for People with Disabilities | October 2019
President Trump Stress Disorder: Partisanship, Ethnicity, and Expressive Reporting of Mental Distress After the 2016 Election
David Rothschild, Elad Yom-Tov, Shawndra Hill
SAGE Open | March 2019
Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department
Kevin A Padrez, Lyle Ungar, Hansen Andrew Schwartz, Robert J Smith, Shawndra Hill, Tadas Antanavicius, Dana M Brown, Patrick Crutchley, David A Asch, Raina M Merchant
BMJ quality & safety | September 2015, pp. bmjqs–2015
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Competitive Advertising on Brand Search: Traffic Stealing and Customer Selection
Andrey Simonov, Shawndra Hill
SSRN Electronic Journal | May 2019
President Trump Stress Disorder: Partisanship, Ethnicity, and Expressive Reporting of Mental Distress After the 2016 Election
David Rothschild, Elad Yom-Tov, Shawndra Hill
SAGE Open | March 2019
Auditing Search Engines for Differential Satisfaction Across Demographics
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna Wallach, Emine Yilmaz
Proceedings of the 26th International Conference on World Wide Web (Industry Track) | April 2017
Estimating the Causal Impact of Recommendation Systems from Observational Data
Amit Sharma, Jake Hofman, Duncan Watts
Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
ISBN: 978-1-4503-3410-5
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Learning in the Repeated Secretary Problem
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James Wright
ACM Economics & Computation 2017 (EC’17) | June 2017
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Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI
Sarah Bird, Solon Barocas, Kate Crawford, Hanna Wallach
Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), New York University | October 2016
按类型分类的论文与出版物
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An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability
Sam Zhang, Patrick R. Heck, Michelle N. Meyer, Christopher F. Chabris, Daniel G. Goldstein, Jake M. Hofman
Proceeding of the National Academy of Sciences | August 2023, 第 120 卷(33)
Integrating explanation and prediction in computational social science
Jake Hofman, Duncan J Watts, Susan Athey, Filiz Garip, Thomas L Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J Salganik, Simine Vazire, Alessandro Vespignani, Tal Yarkoni
Nature | June 2021, 第 595 卷(7866): pp. 181-188
Learning When to Stop Searching
Daniel G. Goldstein, Siddharth Suri
Management Science | August 2019
Competitive Advertising on Brand Search: Traffic Stealing and Customer Selection
Andrey Simonov, Shawndra Hill
SSRN Electronic Journal | May 2019
President Trump Stress Disorder: Partisanship, Ethnicity, and Expressive Reporting of Mental Distress After the 2016 Election
David Rothschild, Elad Yom-Tov, Shawndra Hill
SAGE Open | March 2019
Split-door criterion: Identification of causal effects through auxiliary outcomes
Amit Sharma, Jake Hofman, Duncan Watts
Annals of Applied Statistics | December 2018, 第 12 卷(4): pp. 2699-2733
The Influence of Context on Online Shopping Behavior: The Case of Concurrent TV Consumption
Oliver Hinz, Shawndra Hill, Amit Sharma
SSRN Electronic Journal | August 2018
Prediction and explanation in social systems
Jake Hofman, Amit Sharma, Duncan Watts
Science | February 2017, 第 355 卷: pp. 486-488
Transparency by Conformity: A Field Experiment Evaluating Openness in Local Governments
James ben-Aaron, Matthew Denny, Bruce Desmarais, Hanna Wallach
Public Administration Review | February 2017, 第 77 卷: pp. 68-77
Television and Digital Advertising: Second Screen Response and Coordination with Sponsored Search
Shawndra Hill, Gordon Burtch, Michael Barto
SSRN Electronic Journal | October 2016
Subjective beliefs about the income distribution and preferences for redistribution
Social Choice and Welfare | September 2016, pp. 25-61
The Big Distraction: The Impact of Popular TV on Online Retail Sales
Oliver Hinz, Shawndra Hill, Ju-Young Kim
Management Information Systems Quarterly | May 2016
An Experimental Study of Team Size and Performance on a Complex Task
Duncan Watts, Andrew Mao, Siddharth Suri
PLoS One | April 2016, 第 11 卷
Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
PlosONE | January 2016, 第 11 卷
Accounting for Market Frictions and Power Asymmetries in Online Labor Markets
Sara C. Kingsley, Mary L. Gray, Siddharth Suri
Policy and Internet | December 2015, 第 7 卷: pp. 383-400
Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department
Kevin A Padrez, Lyle Ungar, Hansen Andrew Schwartz, Robert J Smith, Shawndra Hill, Tadas Antanavicius, Dana M Brown, Patrick Crutchley, David A Asch, Raina M Merchant
BMJ quality & safety | September 2015, pp. bmjqs–2015
The Structural Virality of Online Diffusion
Sharad Goel, Jake Hofman, Duncan Watts, Ashton Anderson
Management Science | July 2015, 第 62 卷(1): pp. 180-196
Incentivizing High Quality Crowdwork
Chien-Ju Jo, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan
International World Wide Web Conference | May 2015
The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
Forecasting elections with non-representative polls
Wei Wang, David Rothschild, Sharad Goel, Andrew Gelman
International Journal of Forecasting | September 2014
Talkographics: Using What Viewers Say Online to Calculate Audience Affinity Networks for Social TV-based Recommendations
Shawndra Hill, Adrian Benton
Wharton School of Business | January 2013
(SSRN 2273381 )
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Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts.
Nikhil Garg, Wes Gurnee, David Rothschild, David Shmoys
July 2021
How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
Perspective annotation for numerical representations
Jake Hofman, Miro Dudík, Daniel G. Goldstein
December 2018
Explanation, Prediction, And Causality: Three Sides Of The Same Coin?
Duncan Watts, Emorie D Beck, Elisa Jayne Bienenstock, Jake Bowers, Aaron Frank, Anthony Grubesic, Jake Hofman, Julia M. Rohrer, Matthew Salganik
October 2018
The Hyperedge Event Model
Bomin Kim, Aaron Schein, Bruce A. Desmarais, Hanna Wallach
July 2018
Transaction Analyzer Using Graph-Oriented Data Structures
Abhishek Banerjee, Daniel G. Goldstein, Roberto Arnetoli, Pravin Darbare, Kevin Lai, Sanjay Saraf
July 2018
US Patent Application
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American Politicians Diverge Systematically, Indian Politicians do so Chaotically: Text Embeddings as a Window into Party Polarization
Amar Budhiraja, Ankur Sharma, Rahul Agrawal, Monojit Choudhury, Joyojeet Pal
Proceedings of the International AAAI Conference on Web and Social Media | June 2021
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach
CHI 2021 | May 2021
How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Jake Hofman, Daniel G. Goldstein, Jessica Hullman
CHI 2020 | April 2020
Toward Fairness in AI for People with Disabilities: A Research Roadmap
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris
ASSETS 2019 Workshop on AI Fairness for People with Disabilities | October 2019
Using Search Queries to Understand Health Information Needs in Africa
Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz
Proceedings of the International AAAI Conference on Web and Social Media | June 2019
Improving fairness in machine learning systems: What do industry practitioners need?
Ken Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miro Dudík, Hanna Wallach
2019 ACM CHI Conference on Human Factors in Computing Systems | June 2019
Understanding the Effect of Accuracy on Trust in Machine Learning Models
Ming Ying, Jennifer Wortman Vaughan, Hanna Wallach
2019 ACM CHI Conference on Human Factors in Computing Systems | May 2019
Honorable Mention Award at CHI 2019
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alex Chouldechova, Sahin Geyik, krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
NAACL 2019 | April 2019
Best Paper Award, NAACL 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alex Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai
FAT* ’19: Conference on Fairness, Accountability, and Transparency | January 2019
To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand
Christopher Riederer, Jake Hofman, Daniel G. Goldstein
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems | April 2018
A Reductions Approach to Fair Classification
Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik, John Langford, Hanna Wallach
FATML’17 | March 2018
Learning in the Repeated Secretary Problem
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James Wright
ACM Economics & Computation 2017 (EC’17) | June 2017
VoxPL: Programming with the Wisdom of the Crowd
Daniel W. Barowy, Emery D. Berger, Daniel G. Goldstein, Siddharth Suri
Proceedings of CHI 2017 | May 2017
ISBN: 978-1-4503-4655-9/17/05
Auditing Search Engines for Differential Satisfaction Across Demographics
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna Wallach, Emine Yilmaz
Proceedings of the 26th International Conference on World Wide Web (Industry Track) | April 2017
Detecting and Characterizing Events
Allison June-Barlow Chaney, Hanna Wallach, Matthew Connelly, David M. Blei
EMNLP | November 2016
Flexible Models for Microclustering with Application to Entity Resolution
Glacomo Zanella, Brenda Betancourt, Hanna Wallach, Jeffrey Miller, Abbas Zaidi, Rebecca C. Steorts
30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain | October 2016
The Social Dynamics of Language Change in Online Networks
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Fernando Diaz, Hanna Wallach, Jacob Eisenstein
International Conference on Social Informatics: SocInfo 2016 | October 2016
Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI
Sarah Bird, Solon Barocas, Kate Crawford, Hanna Wallach
Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), New York University | October 2016
Assessing Human Error Against a Benchmark of Perfection
Ashton Anderson, Jon Kleinberg, Sendhil Mullainathan
KDD 2016 | June 2016
Improving Comprehension of Numbers in the News
Pablo J. Barrio, Daniel G. Goldstein, Jake Hofman
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
ISBN: 978-1-4503-3362-7
Poisson–Gamma Dynamical Systems
Aaron Schein, Hanna Wallach, Mingyuan Zhou
Advances in Neural Information Processing Systems 29 (NIPS 2016) | May 2016
The Communication Network Within the Crowd
Ming Yin, Mary L. Gray, Siddharth Suri, Jennifer Wortman Vaughan
25th International World Wide Web Conference (WWW) 2016 | April 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna Wallach
33rd International Conference on Machine Learning (ICML 2016) | April 2016
Bag of What? Simple Noun Phrase Extraction for Text Analysis
Abram Handler, Matthew Denny, Hanna Wallach, Brendan T. O'Connor
NLP+CSS@EMNLP | April 2016
Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter
Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts
Proceedings of the 25th International Conference on World Wide Web | April 2016
The Crowd is a Collaborative Network
Mary L. Gray, Siddharth Suri, Syed Shoaib Ali, Deepti Kulkarni
Computer-Supported Cooperative Work and Social Computing | February 2016
Human Judgments In Hiring Decisions Based On Online Social Network Profiles
Yoram Bachrach
DSAA (Data Science and Advanced Analytics) | October 2015
Expertise in the Field Fades in the Lab
Etan Green, Justin Rao, David Rothschild
September 2015
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts
Aaron Schein, John Paisley, David M. Blei, Hanna Wallach
Proceedings of the Twenty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2015
Also presented at the Tenth Conference on Bayesian Nonparametrics, 2015
Estimating the Causal Impact of Recommendation Systems from Observational Data
Amit Sharma, Jake Hofman, Duncan Watts
Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
ISBN: 978-1-4503-3410-5
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
F. Guo, C. Blundell, Hanna Wallach, K. Heller
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics | May 2015
Also presented at the Tenth Conference on Bayesian Nonparametrics, 2015; the Fifth Annual Text as Data Conference, 2014
Predicting Individual Behavior with Social Networks
Sharad Goel, Daniel G. Goldstein
January 2014
Better Human Computation Through Principled Voting.
Andrew Mao, Ariel D. Procaccia, Yiling Chen
AAAI | June 2013
AAAI
Volunteering Versus Work for Pay: Incentives and Tradeoffs In Crowdsourcing
Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E Schwamb, Chris J Lintott, Arfon M Smith
First AAAI Conference on Human Computation and Crowdsourcing | March 2013
Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing
Andrew Mao, Ece Kamar, Eric Horvitz
First AAAI Conference on Human Computation and Crowdsourcing | March 2013
Topic-Partitioned Multinetwork Embeddings
P. Krafft, J. Moore, B. Desmarais, H. Wallach
Advances in Neural Information Processing Systems Twenty-Five | December 2012
Advances in Neural Information Processing Systems Twenty-Five
Also presented at the Workshop on Information in Networks, 2012; the Third New Directions in Analyzing Text as Data Conference, 2012; the Fifth Annual Political Networks Conference, 2012
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Online And Social Media Data As A Flawed Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
MSR-TR-2014-159 | May 2014
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Computational Social Science: Toward a Collaborative Future
Computational Social Science: Discovery and Prediction | 作者：Cambridge University Press | 2016 | Computational Social Science: Discovery and Prediction edition