Using deep-learning algorithms to derive basic characteristics of social media users: The Brexit campaign as a case study

Moreno Mancosu; Giuliano Bobba

doi:10.1371/journal.pone.0211013

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Open Access

Peer-reviewed

Research Article

Using deep-learning algorithms to derive basic characteristics of social media users: The Brexit campaign as a case study

Moreno Mancosu ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: moreno.mancosu@carloalberto.org

Affiliation Collegio Carlo Alberto, Turin, Italy

http://orcid.org/0000-0002-3017-4066

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Giuliano Bobba

Roles Conceptualization, Investigation, Resources, Writing – original draft, Writing – review & editing

Affiliations Collegio Carlo Alberto, Turin, Italy, Department of Cultures, Politics and Society, University of Turin, Turin, Italy
⨯

Using deep-learning algorithms to derive basic characteristics of social media users: The Brexit campaign as a case study

Moreno Mancosu,
Giuliano Bobba

Published: January 25, 2019
https://doi.org/10.1371/journal.pone.0211013

About the Authors

Moreno Mancosu

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: moreno.mancosu@carloalberto.org

Affiliation Collegio Carlo Alberto, Turin, Italy

http://orcid.org/0000-0002-3017-4066

Giuliano Bobba

Roles Conceptualization, Investigation, Resources, Writing – original draft, Writing – review & editing

Affiliations Collegio Carlo Alberto, Turin, Italy, Department of Cultures, Politics and Society, University of Turin, Turin, Italy

Competing Interests

The authors have declared that no competing interests exist.

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Facebook
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Social media
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Algorithms
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Twitter
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Elections
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Face
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Face recognition
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Surveys
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