On the Impact of Predicate Complexity in Crowdsourced Classification Tasks-Reference-Cited by-同舟云学术

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On the Impact of Predicate Complexity in Crowdsourced Classification Tasks

Published:2021-03-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM International Conference on Web Search and Data Mining
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Author:

Ramírez Jorge¹,Baez Marcos²,Casati Fabio³,Cernuzzi Luca⁴,Benatallah Boualem⁵,Taran Ekaterina A.⁶,Malanina Veronika A.⁶

Affiliation:

1. University of Trento, Trento, Italy

2. Université Claude Bernard Lyon 1, Lyon, France

3. University of Trento & ServiceNow, Trento, Italy

4. Catholic University Nuestra Señora de la Asunción, Asunción, Paraguay

5. University of New South Wales, Sydney, Australia

6. Tomsk Polytechnic University, Tomsk, Russian Fed.

Funder

RSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437963.3441831

Reference53 articles.

1. Breaking monotony with meaning: Motivation in crowdsourcing markets

2. Multiple Comparisons Using Rank Sums

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and Guidelines;Proceedings of the ACM on Human-Computer Interaction;2024-04-17

2. Determinants and Predictors of Intentionality and Perceived Reliability in Human-AI Interaction as a Means for Innovative Scientific Discovery;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

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