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 data-driven.

Rocco Mazza;
2020-01-01

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/520006
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