Social mining for sustainable cities: thematic study of gender-based violence coverage in news articles and domestic violence in relation to covid-19

HIGHLIGHTS

SUMMARY

In this part, the authors evaluate the nature of topics discussed while reporting news related to gender-based violence. Rheault et_al studied the nature of abuses and derogatory comments faced by legislators over social media using machine_learning unsupervised techniques. Bolukbasi et_al performed a series of experiments to conclude that blind applications of machine_learning can lead to increased biases in data. Dixon et_al proposed a new methodology to reduce bias in machine_learning models. Text classification with GBV2Vec the proposed GBV2Vec is a machine_learning algorithm based on Doc2Vec (Le and Mikolov 2014), that is used to . . .

 



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