Work

Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned

Year: 2023

Type: conference-paper

Abstract: In this paper, we present our journey in exploring the use of crowdsourcing for fact-checking. We discuss our early experiments aimed towards the identification of the best possible setting for misinformation assessment using crowdsourcing. Our results indicate that the crowd can effectively address misinformation at scale, showing some degree of correlation with experts. We also highlight the influence of worker background on the quality of truthfulness assessments.

Source: Institutional Research Information System (University of Udine)

Authors: David La Barbera, Michael Soprano, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro

Institution: University of Udine

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7038034860

FWCI:

Cites: 9

Cited by:

Related to: 10