Shepherding the crowd yields better work

Cited by (334)

Items 301–334 of 334

1. Considering human aspects on strategies for designing and managing distributed human
   Francisco Brasileiro, Nazareno Andrade, Livia M. R. Sampaio · 2014
2. Peer consistency evaluation in human computation
   Shih‐Wen Huang · 2013 · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
3. Adapting Collaborative Learning Tools to Support Group Peer Mentorship
   Bunmi Fenwa Olakanmi · 2016 · University Library - University of Saskatchewan (University of Saskatchewan)
4. Situation-oriented integration of humans and automation for the operation of regenerative life support systems
   Gregorio E. Drayer · 2013 · SMARTech Repository (Georgia Institute of Technology)
5. Worker Expertise and Expert Rubrics in Crowdsourced Design Critique
   Alvin Yuan, Luther, Kurt, Author, Markus Krause, Steven P. Dow, Björn Hartmann · 2015 · UC Berkeley
6. Community Heuristics for Crowdsourcing Platforms Interface Evaluation
   Shazia Zaheer, Вера Анатольевна Гневашева, Brunilda Subashi, Mustapha Bin Danquah · 2018 · International Journal of Scientific and Engineering Research
7. Worker Classification based on Answer Pattern for Finding Typical Mistake Patterns
   Tomoya Mikami, Masaki Matsubara, Takashi Harada, Atsuyuki Morishima · 2018 · IEEE International Conference on Big Data (BigData)
8. A Comparative Study on Two Ground Truth Inference Algorithms based on Manually Labeled Social Media Data
   Xiaoyu Sean Lu, MengChu Zhou, Haoyue Liu, Liang Qi · 2019 · IEEE International Conference on Networking, Sensing and Control (ICNSC)
9. Performance in Contests
   Jonas Heite · 2020 · Innovation und Entrepreneurship
10. What You Sow, So Shall You Reap! Toward Preselection Mechanisms for Macrotask Crowdsourcing
    Ujwal Gadiraju, Mengdie Zhuang · 2019 · Human-computer interaction series
11. AuDi: an Auto-Feedback Display for Crowdsourcing
    Xinru Tang, Dongyang Zhao, Ying Zhang, Xianghua Ding · 2019 · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)
12. Analyzing evolution of rare events through social media data
    Xiaoyu Sean Lu · 2019
13. Empirical Study on Effects of Self-Correction in Crowdsourced Microtasks
    Masaki Kobayashi, Hiromi Morita, Masaki Matsubara, Nobuyuki Shimizu, Atsuyuki Morishima · 2021 · Human Computation
14. Nobody of the Crowd: An Empirical Evaluation on Worker Clustering in Topcoder.
    Razieh Saremi, Hamid Shamszare, Marzieh Lotfalian Saremi, Ye Yang · 2021 · arXiv (Cornell University)
15. Collaborative Multi-Agent Reinforcement Learning in Dynamic Environments using Knowledge Transfer for Herding Problem
    Amin Nikanjam, Monireh Abdoos, Mahnoosh Mahdavimoghaddam · 2021 · Journal of Control
16. Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract)
    Amy Rechkemmer, Ming Yin · 2021 · International Joint Conference on Artificial Intelligence
17. Nobody of the Crowd: An Empirical Investigation of Worker Communities in TopCoder
    Razieh Saremi, Hamid Shamszare, Marzieh Lotfalian Saremi, Ye Yang · 2021 · arXiv (Cornell University)
18. Practice
    Nigel Shadbolt, Kieron O’Hara, David De Roure, Wendy Hall · 2019 · Lecture notes in social networks
19. Beyond Micro-Tasks
    Roman Lukyanenko, Jeffrey Parsons · 2019 · IGI Global eBooks
20. The Unsupported Crowd: Exclusion of Indian Workers in Amazon Mechanical Turk Communities
    Kristy Milland · 2019
21. Empirical Study on Effects of Self-Correction in Crowdsourced Microtasks
    Masaki Kobayashi, Hiromi Morita, Masaki Matsubara, Nobuyuki Shimizu, Atsuyuki Morishima · 2021 · Human Computation
22. Beyond Micro-Tasks
    Roman Lukyanenko, Jeffrey Parsons · 2019 · IGI Global eBooks
23. Terratech: A Crowdsourcing Web Application that Aids Environmental Needs and Concerns
    Grace Lorraine Intal, Edward Garcia, John Benjet Bendita · 2022
24. Artificial intelligence tools to promote social good in gig markets
    Carlos Toxtli · 2022
25. Intelligent Agents for Crowdsourced Software Engineering : A Survey
    S Arokiaraj, T. Amudha, Swamynathan Ramakrishnan · 2022 · International Conference on Information Management & Machine Intelligence (ICIMMI)
26. Fostering Data Worker Inclusion and Well-Being: Identifying Barriers and Designing Interventions
    Amy Rechkemmer · 2023 · ACM Conference on Computer Supported Cooperative Work (CSCW)
27. Quantifying and Leveraging Uncertain and Imprecise Answers in Multiple Choice Questionnaires for Crowdsourcing
    Constance Thierry, Géry Casiez, Jean-Christophe Dubois, Yolande Le Gall, Sylvain Malacria, Thomas Pietrzak, Arnaud Martin B, Pierrick Uro · 2024 · Conference on l'Interaction Homme-Machine (IHM)
28. New Digital Economic Geography
    Abdul Shaban · 2024 · Springer eBooks
29. Influence of deliverable evaluation feedback and additional reward on worker's motivation in crowdsourcing services
    Yoshinori Hijikata, Hikari Ishizaki · 2025 · Frontiers in Organizational Psychology
30. Self-Reflective Crowds: Surfacing Wisdom through Emergent Scaffolding
    Ruo Ning Qiu, Annapurna Vadaparty, Suma Vintha, Steven P. Dow · 2025 · ACM Collective Intelligence Conference (CI)
31. Cueing the Crowd: LLM-Driven Conversational Cues Across Different Meeting Modalities Increase Topical Diversity of Generated Ideas
    Jude Abishek Rayan, S Jiang, Nishant Balaji, Jen-Hang WANG, Ian Gross, Cole Biehle, Steven P. Dow · 2025 · ACM Collective Intelligence Conference (CI)
32. Learning While Earning? A Literature Review and Case Study on Learning Opportunities in Crowdwork
    Carolin Stein, Anna Soßdorf, Osman Kivanc Kirikci, Jonas Fegert · 2026 · Lecture notes in information systems and organisation
33. Data for Machine Learning
    Edith Law, Ming Yin · 2026 · Cambridge University Press eBooks
34. Doing Human-Centered Machine Learning
    Rebecca Fiebrink, Marco Fyfe Pietro Gillies, Gonzalo Ramos · 2026 · Cambridge University Press eBooks