| 2016 | Predicting Crowd Work Quality under Monetary Interventions. | Ming Yin, Yiling Chen |
| 2016 | Interactive Consensus Agreement Games for Labeling Images. | Paul Upchurch, Daniel Sedra, Andrew Mullen, Haym Hirsh, Kavita Bala |
| 2016 | Evaluating Task-Dependent Taxonomies for Navigation. | Yuyin Sun, Adish Singla, Tori Qiao Yan, Andreas Krause, Dieter Fox |
| 2016 | Much Ado About Time: Exhaustive Annotation of Temporal Data. | Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta |
| 2016 | Learning Privacy Expectations by Crowdsourcing Contextual Informational Norms. | Yan Shvartzshnaider, Schrasing Tong, Thomas Wies, Paula Kift, Helen Nissenbaum, Lakshminarayanan Subramanian, Prateek Mittal |
| 2016 | Practical Peer Prediction for Peer Assessment. | Victor Shnayder, David C. Parkes |
| 2016 | CRQA: Crowd-Powered Real-Time Automatic Question Answering System. | Denis Savenkov, Eugene Agichtein |
| 2016 | Learning to Scale Payments in Crowdsourcing with PropeRBoost. | Goran Radanovic, Boi Faltings |
| 2016 | Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing. | Prakhar Ojha, Partha P. Talukdar |
| 2016 | Learning and Feature Selection under Budget Constraints in Crowdsourcing. | Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann |
| 2016 | Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings. | An Thanh Nguyen, Matthew Halpern, Byron C. Wallace, Matthew Lease |
| 2016 | Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments. | Tyler McDonnell, Matthew Lease, Mcahid Kutlu, Tamer Elsayed |
| 2016 | Crowdsourcing Relevance Assessments: The Unexpected Benefits of Limiting the Time to Judge. | Eddy Maddalena, Marco Basaldella, Dario De Nart, Dante Degl'Innocenti, Stefano Mizzaro, Gianluca Demartini |
| 2016 | Validating the Quality of Crowdsourced Psychometric Personality Test Items. | Bao Sheng Loe, Francis Smart, Lenka Firtova, Corinna Brauner, Laura Lueneborg, David Stillwell |
| 2016 | Crowdclass: Designing Classification-Based Citizen Science Learning Modules. | Doris Jung Lin Lee, Joanne Lo, Moonhyok Kim, Eric Paulos |
| 2016 | Studying the Effects of Task Notification Policies on Participation and Outcomes in On-the-go Crowdsourcing. | Yongsung Kim, Emily Harburg, Shana Azria, Aaron Shaw, Elizabeth Gerber, Darren Gergle, Haoqi Zhang |
| 2016 | Click Carving: Segmenting Objects in Video with Point Clicks. | Suyog Dutt Jain, Kristen Grauman |
| 2016 | "Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent. | Ting-Hao 'Kenneth' Huang, Walter S. Lasecki, Amos Azaria, Jeffrey P. Bigham |
| 2016 | Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content. | Tad Hogg, Kristina Lerman |
| 2016 | Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System. | Danna Gurari, Mehrnoosh Sameki, Margrit Betke |
| 2016 | Understanding Crowdsourcing Workflow: Modeling and Optimizing Iterative and Parallel Processes. | Shinsuke Goto, Toru Ishida, Donghui Lin |
| 2016 | Extending Workers' Attention Span Through Dummy Events. | Avshalom Elmalech, David Sarne, Esther David, Chen Hajaj |
| 2016 | MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy. | Ryan Drapeau, Lydia B. Chilton, Jonathan Bragg, Daniel S. Weld |
| 2016 | Crowdsourcing Accurate and Creative Word Problems and Hints. | Yvonne Chen, Travis Mandel, Yun-En Liu, Zoran Popovic |
| 2016 | State Detection Using Adaptive Human Sensor Sampling. | Ioannis Boutsis, Vana Kalogeraki, Dimitrios Gunopulos |