The paper introduces HateViz dashboard, an interactive platform Twitter based about hate speech against women. Starting from texts collected from Twitter, using R packages, the aim of dashboard is to provide to the community of decisionmakers an easy-to-use tool to monitor this important phenomenon. The dashboard mixes three methods: textual mining, latent topic models and textual network analysis and proposes a new approach for explaining the network based on topics and terms. Joint usage of topic modelling and textual network approach results in a better description of semantic content of each topic.

HateViz: a textual dashboard Twitter datadriven / Zavarrone, Emma; Grassia, MARIA GABRIELLA; Marino, Marina; Mazza, Rocco; Canestrari, Nicola. - (2020), pp. 1077-1082. (Intervento presentato al convegno SIS 2020 tenutosi a Pisa nel 2021).

HateViz: a textual dashboard Twitter datadriven

Maria Gabriella Grassia;Marina Marino;Rocco Mazza;
2020

Abstract

The paper introduces HateViz dashboard, an interactive platform Twitter based about hate speech against women. Starting from texts collected from Twitter, using R packages, the aim of dashboard is to provide to the community of decisionmakers an easy-to-use tool to monitor this important phenomenon. The dashboard mixes three methods: textual mining, latent topic models and textual network analysis and proposes a new approach for explaining the network based on topics and terms. Joint usage of topic modelling and textual network approach results in a better description of semantic content of each topic.
2020
9788891910776
HateViz: a textual dashboard Twitter datadriven / Zavarrone, Emma; Grassia, MARIA GABRIELLA; Marino, Marina; Mazza, Rocco; Canestrari, Nicola. - (2020), pp. 1077-1082. (Intervento presentato al convegno SIS 2020 tenutosi a Pisa nel 2021).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/820443
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