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pro vyhledávání: '"ROITERO, Kevin"'
Due to the widespread use of data-powered systems in our everyday lives, concepts like bias and fairness gained significant attention among researchers and practitioners, in both industry and academia. Such issues typically emerge from the data, whic
Externí odkaz:
http://arxiv.org/abs/2305.09686
Autor:
Demartini, Gianluca1 demartini@acm.org, Roitero, Kevin2 kevin.roitero@uniud.it, Mizzaro, Stefano3 mizzaro@uniud.it
Publikováno v:
Communications of the ACM. Jan2024, Vol. 67 Issue 1, p28-32. 5p.
Due to the widespread use of data-powered systems in our everyday lives, the notions of bias and fairness gained significant attention among researchers and practitioners, in both industry and academia. Such issues typically emerge from the data, whi
Externí odkaz:
http://arxiv.org/abs/2110.13504
Autor:
Barbera, David La, Maddalena, Eddy, Soprano, Michael, Roitero, Kevin, Demartini, Gianluca, Ceolin, Davide, Spina, Damiano, Mizzaro, Stefano
Publikováno v:
In Information Processing and Management September 2024 61(5)
Autor:
Soprano, Michael, Roitero, Kevin, La Barbera, David, Ceolin, Davide, Spina, Damiano, Mizzaro, Stefano, Demartini, Gianluca
Publikováno v:
Information Processing & Management Information Processing & Management, Volume 58, Issue 6, November 2021, 102710
Recent work has demonstrated the viability of using crowdsourcing as a tool for evaluating the truthfulness of public statements. Under certain conditions such as: (1) having a balanced set of workers with different backgrounds and cognitive abilitie
Externí odkaz:
http://arxiv.org/abs/2108.01222
Autor:
Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, De Luise, Massimiliano, Spina, Damiano, Della Mea, Vincenzo, Serra, Giuseppe, Mizzaro, Stefano, Demartini, Gianluca
Recently, the misinformation problem has been addressed with a crowdsourcing-based approach: to assess the truthfulness of a statement, instead of relying on a few experts, a crowd of non-expert is exploited. We study whether crowdsourcing is an effe
Externí odkaz:
http://arxiv.org/abs/2107.11755
Autor:
Soprano, Michael, Roitero, Kevin, La Barbera, David, Ceolin, Davide, Spina, Damiano, Demartini, Gianluca, Mizzaro, Stefano
Publikováno v:
In Information Processing and Management May 2024 61(3)
Autor:
Roitero, Kevin
To evaluate Information Retrieval (IR) effectiveness, a possible approach is to use test collections, which are composed of a collection of documents, a set of description of information needs (called topics), and a set of relevant documents to each
Externí odkaz:
http://arxiv.org/abs/2011.00479
Autor:
Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, Spina, Damiano, Della Mea, Vincenzo, Serra, Giuseppe, Mizzaro, Stefano, Demartini, Gianluca
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 been addressed with a crowdsourcing-based approach to scale up labeli
Externí odkaz:
http://arxiv.org/abs/2008.05701
Autor:
Roitero, Kevin, Soprano, Michael, Fan, Shaoyang, Spina, Damiano, Mizzaro, Stefano, Demartini, Gianluca
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 and false statements. Usually such judgments are made by experts, like
Externí odkaz:
http://arxiv.org/abs/2005.06915