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Future Internet
Volume 12
Issue 2
10.3390/fi12020031
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Review

A Survey on Troll Detection

by
Michele Tomaiuolo
,
Gianfranco Lombardo
,
Monica Mordonini
,
Stefano Cagnoni
and
Agostino Poggi
*
Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy
*
Author to whom correspondence should be addressed.
Future Internet 2020, 12(2), 31; https://doi.org/10.3390/fi12020031
Submission received: 17 January 2020 / Revised: 7 February 2020 / Accepted: 7 February 2020 / Published: 10 February 2020
(This article belongs to the Collection Featured Reviews of Future Internet Research)
Versions Notes

Abstract

A troll is usually defined as somebody who provokes and offends people to make them angry, who wants to dominate any discussion or who tries to manipulate people’s opinions. The problems caused by such persons have increased with the diffusion of social media. Therefore, on the one hand, press bodies and magazines have begun to address the issue and to write articles about the phenomenon and its related problems while, on the other hand, universities and research centres have begun to study the features characterizing trolls and to look for solutions for their identification. This survey aims at introducing the main researches dedicated to the description of trolls and to the study and experimentation of methods for their detection.
Keywords: troll detection; antisocial behaviour; social media troll detection; antisocial behaviour; social media

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MDPI and ACS Style

Tomaiuolo, M.; Lombardo, G.; Mordonini, M.; Cagnoni, S.; Poggi, A. A Survey on Troll Detection. Future Internet 2020, 12, 31. https://doi.org/10.3390/fi12020031

AMA Style

Tomaiuolo M, Lombardo G, Mordonini M, Cagnoni S, Poggi A. A Survey on Troll Detection. Future Internet. 2020; 12(2):31. https://doi.org/10.3390/fi12020031

Chicago/Turabian Style

Tomaiuolo, Michele, Gianfranco Lombardo, Monica Mordonini, Stefano Cagnoni, and Agostino Poggi. 2020. "A Survey on Troll Detection" Future Internet 12, no. 2: 31. https://doi.org/10.3390/fi12020031

APA Style

Tomaiuolo, M., Lombardo, G., Mordonini, M., Cagnoni, S., & Poggi, A. (2020). A Survey on Troll Detection. Future Internet, 12(2), 31. https://doi.org/10.3390/fi12020031

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