Caio Castro Mello - Academia.edu (original) (raw)
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Papers by Caio Castro Mello
in the Use of Facebook Events by Social Movements Many people who joined the Spanish 15-M, Occupy... more in the Use of Facebook Events by Social Movements Many people who joined the Spanish 15-M, Occupy Wall Street, and the Brazilian #OccupyEstelita movements rejected the word activist, arguing that it did not reflect their activities: online participation supporting Facebook Events-sharing information about the movement online, and inviting friends on Social Media to join the demonstrations. This project investigated the following question: How is the perception of political self-identity affected by the use of Social Networks? The main object of study was the use of Facebook Events by manifestants from the Occupy Estelita movement in Brazil. We conducted in-depth interviews and questionnaires with the movement's supporters to understand how they perceive their online activities as part of a social mobilization aimed at physical presence on the street.
IEEE Access
The purpose of this study is to analyse COVID-19 related news published across different geograph... more The purpose of this study is to analyse COVID-19 related news published across different geographical places, in order to gain insights in reporting differences. The COVID-19 pandemic had a major outbreak in January 2020 and was followed by different preventive measures, lockdown, and finally by the process of vaccination. To date, more comprehensive analysis of news related to COVID-19 pandemic are missing, especially those which explain what aspects of this pandemic are being reported by newspapers inserted in different economies and belonging to different political alignments. Since LDA is often less coherent when there are news articles published across the world about an event and you look answers for specific queries. It is because of having semantically different content. To address this challenge, we performed pooling of news articles based on information retrieval using TF-IDF score in a data processing step and topic modeling using LDA with combination of 1 to 6 ngrams. We used VADER sentiment analyzer to analyze the differences in sentiments in news articles reported across different geographical places. The novelty of this study is to look at how COVID-19 pandemic was reported by the media, providing a comparison among countries in different political and economic contexts. Our findings suggest that the news reporting by newspapers with different political alignment support the reported content. Also, economic issues reported by newspapers depend on economy of the place where a newspaper resides. INDEX TERMS COVID-19, economic issues, political issues, sentiment analysis, topic modeling.
in the Use of Facebook Events by Social Movements Many people who joined the Spanish 15-M, Occupy... more in the Use of Facebook Events by Social Movements Many people who joined the Spanish 15-M, Occupy Wall Street, and the Brazilian #OccupyEstelita movements rejected the word activist, arguing that it did not reflect their activities: online participation supporting Facebook Events-sharing information about the movement online, and inviting friends on Social Media to join the demonstrations. This project investigated the following question: How is the perception of political self-identity affected by the use of Social Networks? The main object of study was the use of Facebook Events by manifestants from the Occupy Estelita movement in Brazil. We conducted in-depth interviews and questionnaires with the movement's supporters to understand how they perceive their online activities as part of a social mobilization aimed at physical presence on the street.
IEEE Access
The purpose of this study is to analyse COVID-19 related news published across different geograph... more The purpose of this study is to analyse COVID-19 related news published across different geographical places, in order to gain insights in reporting differences. The COVID-19 pandemic had a major outbreak in January 2020 and was followed by different preventive measures, lockdown, and finally by the process of vaccination. To date, more comprehensive analysis of news related to COVID-19 pandemic are missing, especially those which explain what aspects of this pandemic are being reported by newspapers inserted in different economies and belonging to different political alignments. Since LDA is often less coherent when there are news articles published across the world about an event and you look answers for specific queries. It is because of having semantically different content. To address this challenge, we performed pooling of news articles based on information retrieval using TF-IDF score in a data processing step and topic modeling using LDA with combination of 1 to 6 ngrams. We used VADER sentiment analyzer to analyze the differences in sentiments in news articles reported across different geographical places. The novelty of this study is to look at how COVID-19 pandemic was reported by the media, providing a comparison among countries in different political and economic contexts. Our findings suggest that the news reporting by newspapers with different political alignment support the reported content. Also, economic issues reported by newspapers depend on economy of the place where a newspaper resides. INDEX TERMS COVID-19, economic issues, political issues, sentiment analysis, topic modeling.