On Graph Problems in a Semi-streaming Model. - Joan Feigenbaum; Sampath Kannan; Andrew McGregor 001; Siddharth Suri; Jian Zhang 004 (ICALP, 2004)

Economic Properties of Social Networks. - Sham M. Kakade; Michael J. Kearns; Luis E. Ortiz; Robin Pemantle; Siddharth Suri (NIPS, 2004)

Graph distances in the streaming model: the value of space. - Joan Feigenbaum; Sampath Kannan; Andrew McGregor 001; Siddharth Suri; Jian Zhang 004 (SODA, 2005)

Networks preserving evolutionary equilibria and the power of randomization. - Michael J. Kearns; Siddharth Suri (EC, 2006)

A network formation game for bipartite exchange economies. - Eyal Even-Dar; Michael J. Kearns; Siddharth Suri (SODA, 2007)

Feedback effects between similarity and social influence in online communities. - David J. Crandall; Dan Cosley; Daniel P. Huttenlocher; Jon M. Kleinberg; Siddharth Suri (KDD, 2008)

Strategic network formation with structural holes. - Jon M. Kleinberg; Siddharth Suri; Éva Tardos; Tom Wexler (EC, 2008)

Graph Distances in the Data-Stream Model. - Joan Feigenbaum; Sampath Kannan; Andrew McGregor 001; Siddharth Suri; Jian Zhang 004 (SIAM J. Comput., 2008)

Dynamics in Network Interaction Games. - Martin Hoefer 001; Siddharth Suri (DISC, 2009)

Sequential Influence Models in Social Networks. - Dan Cosley; Daniel P. Huttenlocher; Jon M. Kleinberg; Xiangyang Lan; Siddharth Suri (ICWSM, 2010)

A Model of Computation for MapReduce. - Howard J. Karloff; Siddharth Suri; Sergei Vassilvitskii (SODA, 2010)

Cooperation and Contagion in Networked Public Goods Experiments - Siddharth Suri; Duncan J. Watts (CoRR, 2010)

Inferring social ties from geographic coincidences. - David J. Crandall; Lars Backstrom; Dan Cosley; Siddharth Suri; Daniel P. Huttenlocher; Jon M. Kleinberg (Proc. Natl. Acad. Sci. USA, 2010)

Honesty in an Online Labor Market. - Siddharth Suri; Daniel G. Goldstein; Winter A. Mason (Human Computation, 2011)

How to use Mechanical Turk for Cognitive Science Research. - Winter A. Mason; Siddharth Suri (CogSci, 2011)

The effects of exposure time on memory of display advertisements. - Daniel G. Goldstein; R. Preston McAfee; Siddharth Suri (EC, 2011)

Filtering: a method for solving graph problems in MapReduce. - Silvio Lattanzi; Benjamin Moseley; Siddharth Suri; Sergei Vassilvitskii (SPAA, 2011)

The computer is the new sewing machine: benefits and perils of crowdsourcing. - Praveen K. Paritosh; Panos Ipeirotis; Matt Cooper; Siddharth Suri (WWW (Companion Volume), 2011)

Counting triangles and the curse of the last reducer. - Siddharth Suri; Sergei Vassilvitskii (WWW, 2011)

Cooperation and contagion in web-based, networked public goods experiments. - Siddharth Suri; Duncan J. Watts (SIGecom Exch., 2011)

Improving the effectiveness of time-based display advertising. - Daniel G. Goldstein; Randolph Preston McAfee; Siddharth Suri (EC, 2012)

Cooperation and assortativity with endogenous partner selection. - Jing Wang 019; Siddharth Suri; Duncan J. Watts (EC, 2012)

Empirical agent based models of cooperation in public goods games. - Michael Wunder; Siddharth Suri; Duncan J. Watts (EC, 2013)

The cost of annoying ads. - Daniel G. Goldstein; R. Preston McAfee; Siddharth Suri (WWW, 2013)

The wisdom of smaller, smarter crowds. - Daniel G. Goldstein; Randolph Preston McAfee; Siddharth Suri (EC, 2014)

Long-run learning in games of cooperation. - Winter A. Mason; Siddharth Suri; Duncan J. Watts (EC, 2014)

Incentivizing High Quality Crowdwork. - Chien-Ju Ho; Aleksandrs Slivkins; Siddharth Suri; Jennifer Wortman Vaughan (WWW, 2015)

The Crowd is a Collaborative Network. - Mary L. Gray; Siddharth Suri; Syed Shoaib Ali; Deepti Kulkarni (CSCW, 2016)

The Communication Network Within the Crowd. - Ming Yin 001; Mary L. Gray; Siddharth Suri; Jennifer Wortman Vaughan (WWW, 2016)

Technical Perspective: Computing with the crowd. - Siddharth Suri (Commun. ACM, 2016)

VoxPL: Programming with the Wisdom of the Crowd. - Daniel W. Barowy; Emery D. Berger; Daniel G. Goldstein; Siddharth Suri (CHI, 2017)

Learning in the Repeated Secretary Problem. - Daniel G. Goldstein; R. Preston McAfee; Siddharth Suri; James R. Wright (EC, 2017)

Running Out of Time: The Impact and Value of Flexibility in On-Demand Crowdwork. - Ming Yin 001; Siddharth Suri; Mary L. Gray (CHI, 2018)

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. - Andi Peng; Besmira Nushi; Emre Kiciman; Kori Inkpen; Siddharth Suri; Ece Kamar (HCOMP, 2019)

More Than Money: Correlation among Worker Demographics, Motivations, and Participation in Online Labor Market. - Wei-Chu Chen; Siddharth Suri; Mary L. Gray (ICWSM, 2019)

How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19. - Longqi Yang 001; Sonia Jaffe; David Holtz; Siddharth Suri; Shilpi Sinha; Jeffrey Weston; Connor Joyce; Neha Shah; Kevin Sherman; Chia-Jung Lee; Brent J. Hecht; Jaime Teevan (CoRR, 2020)

Learning When to Stop Searching. - Daniel G. Goldstein; R. Preston McAfee; Siddharth Suri; James R. Wright (Manag. Sci., 2020)

Stuck in the middle with you: The Transaction Costs of Corporate Employees Hiring Freelancers. - Caitlin Lustig; Sean Rintel; Liane Scult; Siddharth Suri (Proc. ACM Hum. Comput. Interact., 2020)

Quantifying the Invisible Labor in Crowd Work. - Carlos Toxtli; Siddharth Suri; Saiph Savage (Proc. ACM Hum. Comput. Interact., 2021)

How Much Do Platform Workers Value Reviews? An Experimental Method. - David M. Holtz; Liane Scult; Siddharth Suri (CHI, 2022)

The future of information work. - Longqi Yang 001; David Holtz; Sonia Jaffe; Siddharth Suri (Commun. ACM, 2022)

Collaboration, Invisible Work, and The Costs of Macrotask Freelancing. - Srihari Hulikal Muralidhar; Sean Rintel; Siddharth Suri (Proc. ACM Hum. Comput. Interact., 2022)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. - Chirag Shah 001; Ryen W. White; Reid Andersen; Georg Buscher; Scott Counts; Sarkar Snigdha Sarathi Das; Ali Montazer; Sathish Manivannan; Jennifer Neville; Xiaochuan Ni 001; Nagu Rangan; Tara Safavi; et al. (CoRR, 2023)

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. - Ying-Chun Lin; Jennifer Neville; Jack W. Stokes; Longqi Yang 001; Tara Safavi; Mengting Wan; Scott Counts; Siddharth Suri; Reid Andersen; Xiaofeng Xu; Deepak Gupta; Sujay Kumar Jauhar; et al. (ACL (1), 2024)

TnT-LLM: Text Mining at Scale with Large Language Models. - Mengting Wan; Tara Safavi; Sujay Kumar Jauhar; Yujin Kim; Scott Counts; Jennifer Neville; Siddharth Suri; Chirag Shah 001; Ryen W. White; Longqi Yang 001; Reid Andersen; Georg Buscher; et al. (KDD, 2024)

The impact of generative artificial intelligence on socioeconomic inequalities and policy making. - Valerio Capraro; Austin Lentsch; Daron Acemoglu; Selin Akgün; Aisel Akhmedova; Ennio Bilancini; Jean-François Bonnefon; Pablo Brañas-Garza; Luigi Butera; Karen M. Douglas; Jim A. C. Everett; Gerd Gigerenzer; et al. (CoRR, 2024)

The Use of Generative Search Engines for Knowledge Work and Complex Tasks. - Siddharth Suri; Scott Counts; Leijie Wang; Chacha Chen; Mengting Wan; Tara Safavi; Jennifer Neville; Chirag Shah 001; Ryen W. White; Reid Andersen; Georg Buscher; Sathish Manivannan; et al. (CoRR, 2024)

As Generative Models Improve, People Adapt Their Prompts. - Eaman Jahani; Benjamin S. Manning; Joe Zhang; Hong-Yi TuYe; Mohammed Alsobay; Christos Nicolaides; Siddharth Suri; David Holtz (CoRR, 2024)

Format Matters: Comparing the Inclusiveness and Effectiveness of Hybrid and Remote Meetings. - Matin Yarmand; Liana Kreamer; Siddharth Suri; Sonia Jaffe (Proc. ACM Hum. Comput. Interact., 2024)

Defining our future with generative AI. - Siddharth Suri (Nat. Comput. Sci., 2024)

The Effects of Enterprise Social Media on Communication Networks. - Manoel Horta Ribeiro; Teny Shapiro; Siddharth Suri (WebSci, 2025)

Working with AI: Measuring the Occupational Implications of Generative AI. - Kiran Tomlinson; Sonia Jaffe; Will Wang; Scott Counts; Siddharth Suri (CoRR, 2025)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. - Chirag Shah 001; Ryen White; Reid Andersen; Georg Buscher; Scott Counts; Sarkar Snigdha Sarathi Das; Ali Montazer; Sathish Manivannan; Jennifer Neville; Nagu Rangan; Tara Safavi; Siddharth Suri; et al. (ACM Trans. Web, 2025)