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Stefano Mizzaro

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.IR3

identity via Semantic Scholar / OpenAlex

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

37 citations · 64 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IR2020★ 37 cited

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

Kevin Roitero, Michael Soprano, Beatrice Portelli +5

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. Very recently, the problem has…

cs.IR2020★ 2 cited

Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background

Kevin Roitero, Michael Soprano, Shaoyang Fan +3

Truthfulness judgments are a fundamental step in the process of fighting misinformation, as they are crucial to train and evaluate classifiers that automatically distinguish true a…

cs.IR2019★ 25 cited

Mobile Information Retrieval

Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto

Mobile Information Retrieval (Mobile IR) is a relatively recent branch of Information Retrieval (IR) that is concerned with enabling users to carry out, using a mobile device, all…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.