Online social imaginary: a global analysis of gender gap and social values in the Internet

• Autor(a) principal: Gabriel Magno de Oliveira Silva
• Data de Publicação: 2020
• Tipo de documento: Tese
• Idioma: eng
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: http://hdl.handle.net/1843/43126
• topic: Internet; Sentiment analysis; Complex networks; Online social networks; Word embeddings; Culture; Human values; Gender; Computação – Teses; Análise de sentimentos – Teses; Redes complexas – Teses; Redes sociais on-line – Teses; Vetorização de palavras – Teses; Valores humanos – Teses; Relações de gênero – Teses

As the Internet grows in number of users and in the diversity of services, it becomes more influential on peoples lives. It has the potential of constructing or modifying the opinion, the mental perception, and the values of individuals. What is being created and published online is a reflection of people’s values and beliefs. As a global platform, the Internet is a great source of information for researching the online culture of many different countries. In this work we develop methods for collecting and measuring data from different online sources to create digital metrics that capture cultural traits and values for several countries. These online metrics are compared with other offline socioeconomic indicators, so that we can evaluate what drives the online phenomena and to also measure their correlation. We study two phenomena: gender inequality and social values. In the first part, we use the social graph from Google+ to measure complex network metrics and compare between woman and man. In the second part, we develop a methodology to measure values using online written-text from Twitter utilizing word embeddings. We show that our two approaches are capable of measuring the relationship between online and offline for international data.