Search Results for author: Vincenzo Della Mea

Found 3 papers, 2 papers with code

Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19

1 code implementation25 Jul 2021 Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini

Our results show that: workers are able to detect and objectively categorize online (mis)information related to COVID-19; both crowdsourced and expert judgments can be transformed and aggregated to improve quality; worker background and other signals (e. g., source of information, behavior) impact the quality of the data.

Misinformation

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

1 code implementation13 Aug 2020 Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini

Misinformation is an ever increasing problem that is difficult to solve for the research community and has a negative impact on the society at large.

Misinformation

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