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Integrating Survey Data and Big Data. Results Based on Istat’s Work about Gender Stereotypes (Italy)

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Within the framework of gender statistics and the need to measure the different genderbased dimensions that hamper gender equality, a central role is played by stereotypes on gender roles. They limit the access of women and girls to education, work, career and more in general prevent their full advancement. They also feed the cultural context where violent relationships find their genesis and justification. For several reasons, the measurement of gender stereotypes is essential to understand causes of violence and their monitoring over time is a key tool for policies’ evaluation in terms of cultural changes. Nevertheless, collecting data on such a relevant topic is not an easy task. This paper will present the Istat approach to study this topic considering different data sources, as the more traditional population surveys and the new alternative sources, as the big data.  The paper will describe the methodological approach adopted within the surveys on stereotypes about gender roles and the social image of gender based violence (GBV). The survey on adult population was carried out in 2018 with astonishing results and will be repeated in March 2023. Still in 2023, a module will address these topics among children and young students (11-19 years old). Information will be complemented exploring the stereotypes on gender roles and on gender-based violence in the social networks. At this aim, the sentiment and emotional analysis are applied to social media messages. The use of big data represents an added value, because these experimental statistics allow to reveal what happens in the social media communication about this topic, led to discover different and new gender stereotypes among our society and help in shedding a light on the intersectionality of the discrimination grounds.