Work

Models and Crowdsourcing Prompts for the Automatic Detection of Malicious Worker Behavior in Crowdsourced Paraphrases

Year: 2026

Type: article

Source: International Journal of Cooperative Information Systems

DOI: 10.1142/s021884302650005x

Authors: Mohammad-Ali Yaghoub-Zadeh-Fard, Auday Berro, Boualem Benatallah, Jorge Ramirez, Marcos Baez

Institutions: UNSW Sydney, Lyon 1 Université, Pôle Léonard de Vinci, Laboratoire d'Informatique en Images et Systèmes d'Information, Dublin City University, Insight SFI Research Centre for Data Analytics, Hochschule Bielefeld

Language: English

Topic: Mobile Crowdsensing and Crowdsourcing

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: IDEXLYON, Australian Research Council

Awards: G3502649700, G5516002876

OpenAlex ID: W7211908477

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