Fact-checking can be done in crowd-sourcing mode by aggregating judgments provided by many workers. We propose a Bayesian approach to carry out this aggregation, considering the truthfulness of the statements as a latent variable that underlies the ratings. We illustrate this approach and test it against alternative methods using a publicly available dataset.
Bayesian ordinal regression for crowd-sourced fact-checking
Michele Lambardi di San Miniato;Michela Battauz;Ruggero Bellio;Paolo Vidoni
2024-01-01
Abstract
Fact-checking can be done in crowd-sourcing mode by aggregating judgments provided by many workers. We propose a Bayesian approach to carry out this aggregation, considering the truthfulness of the statements as a latent variable that underlies the ratings. We illustrate this approach and test it against alternative methods using a publicly available dataset.File in questo prodotto:
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