The present study focuses on the usefulness of social network analysis in unveiling network patterns insocial media. Specifically, the propagation and consumption of information on Twitter through networkanalysis tools are investigated to discover the presence of specific conversational patterns in the derivedonline data. The choosing of Twitter is motivated by the fact that it induces the definition of relationshipsbetween users by following communication flows on specific topics of interest and identifying key profileswho influence debates in the digital space. Further lines of research are discussed regarding the tools fordiscovering the spread of fake news. Considerable disinformation can be generated on social networks,offering a complex picture of informational disorientation in the digital society.

Unveiling Network Data Patterns in Social Media

Primerano I.;
2022

Abstract

The present study focuses on the usefulness of social network analysis in unveiling network patterns insocial media. Specifically, the propagation and consumption of information on Twitter through networkanalysis tools are investigated to discover the presence of specific conversational patterns in the derivedonline data. The choosing of Twitter is motivated by the fact that it induces the definition of relationshipsbetween users by following communication flows on specific topics of interest and identifying key profileswho influence debates in the digital space. Further lines of research are discussed regarding the tools fordiscovering the spread of fake news. Considerable disinformation can be generated on social networks,offering a complex picture of informational disorientation in the digital society.
2022
Istituto di Ricerche sulla Popolazione e le Politiche Sociali - IRPPS - Sede Secondaria Fisciano (SA)
9781799884736
Fake news, Social Media, Social Network Analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/524698
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