
Francesco Grisolia
Education:
(2018) Master in Big Data Analytics & Social Mining, University of Pisa
(2012) PhD in Cultural Anthropology, University of Siena
Previous positions:
(May 2018-May 2021) Postdoc Fellow, University of Pisa, Italy
(December 2013 / February 2017) Adjunct Professor of Medical and Social Anthropology, 'Magna Graecia' University of Catanzaro, Italy
(April/December 2014) Academic Visitor, University of Oxford, Department of Social Policy and Intervention
(November 2013 / May 2015) Postdoc Fellow in Sociology of Health, 'Magna Graecia' University of Catanzaro, Italy
(2018) Master in Big Data Analytics & Social Mining, University of Pisa
(2012) PhD in Cultural Anthropology, University of Siena
Previous positions:
(May 2018-May 2021) Postdoc Fellow, University of Pisa, Italy
(December 2013 / February 2017) Adjunct Professor of Medical and Social Anthropology, 'Magna Graecia' University of Catanzaro, Italy
(April/December 2014) Academic Visitor, University of Oxford, Department of Social Policy and Intervention
(November 2013 / May 2015) Postdoc Fellow in Sociology of Health, 'Magna Graecia' University of Catanzaro, Italy
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Papers by Francesco Grisolia
In this work, the authors address the problem of (mis)information operations with a holistic and integrated approach. Cognitive weakness induced by this new information environment are considered. Moreover, (mis)information operations, with particular reference to the Italian context, are considered and the fact that the phenomenon is more complex than expected is highlighted. The paper concludes by providing an integrated research roadmap accounting for the possible future technological developments.
In this work, the authors address the problem of (mis)information operations with a holistic and integrated approach. Cognitive weakness induced by this new information environment are considered. Moreover, (mis)information operations, with particular reference to the Italian context, are considered and the fact that the phenomenon is more complex than expected is highlighted. The paper concludes by providing an integrated research roadmap accounting for the possible future technological developments.