People’s opinion around social and political issues is currently witnessed by messages ordinarily posted on socialmedia. With reference to a specific case study,namely the vaccination topic in Italy, this article discusses a crucial aspect in structuring the data processing pipeline in intelligent systems aimed at monitoring the public opinion through Twitter messages: A plain analysis of tweet contents is not sufficient to grasp the diversity of behavior across users. To get a sharper picture of the public opinion as expressed on socialmedia, user-related information must be incorporated in the analysis. Relying on a dataset of tweets about vaccination and on an established text classification system, we present the results of a stance monitoring campaign with advanced analysis on temporal and spatial scales. The overallmethodological workflow provides a sound solution for public opinion assessment from Twitter data.

Stance Analysis of Twitter Users: the Case of the Vaccination Topic in Italy

Bechini, Alessio
;
Ducange, Pietro;Marcelloni, Francesco;Renda, Alessandro
2021-01-01

Abstract

People’s opinion around social and political issues is currently witnessed by messages ordinarily posted on socialmedia. With reference to a specific case study,namely the vaccination topic in Italy, this article discusses a crucial aspect in structuring the data processing pipeline in intelligent systems aimed at monitoring the public opinion through Twitter messages: A plain analysis of tweet contents is not sufficient to grasp the diversity of behavior across users. To get a sharper picture of the public opinion as expressed on socialmedia, user-related information must be incorporated in the analysis. Relying on a dataset of tweets about vaccination and on an established text classification system, we present the results of a stance monitoring campaign with advanced analysis on temporal and spatial scales. The overallmethodological workflow provides a sound solution for public opinion assessment from Twitter data.
2021
Bechini, Alessio; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1066420
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