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    Influence of Ecuadorian Homosexual Subculture in Consumption Culture: Study about Information Consumption on Twitter
    (Routledge, 2020-07-28)
    This qualitative research examines the Ecuadorian homosexual subculture and determines how gender, images, texts, and objects are referred to consumption culture. The netnography method was used to collect data from Twitter conversations. Categorization and classification of the conversations showed how the information was created, the purpose of the message, and the target audience. Results reveal common subjects in relation to news, human rights, and gender equality. Subjects were conceptualized based on the consumption of information in social, cultural, and political environments. It was concluded that images, texts, and objects included in the conversations provide significant information about the homosexual subculture consumption behavior.
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    Refugee information consumption on Twitter
    (Elsevier, 2020-10-20)
    The of the study is to describe how society expresses itself in regard to people who, due to war, politics or religion, migrate from their country of origin to foreign countries. Refugees are considered minority groups. Thus, examining their behavior reveals significant data on sociocultural factors (Tsai, 2011). Under a qualitative approach and the netnography method, we used Twitter as an instrument for data collection. The model proposed by Perez-Cepeda and Arias-Bolzmann (2020), which describes cultural factors, is used to analyze the Twitter conversation flow that evidences the sociocultural factors of minority subcultures. Studies have shown that the data structure, classification, categorization, and are based on the information production and consumption of the users who participate in Twitter conversations with @Refugees—the official account of the ACNUR/UNHCR Américas. The findings showed recurrent subjects and sets of ideas related to sociocultural factors, human rights, economic news, critical reflection, and religious topics. Tweets about refugees describe the sociocultural issues around this minority group. This paper focuses on refugees, the consumption of refugee information, text writing, sociocultural factors, and the environment on Twitter. This research contributes to the social sciences, especially to sociocultural interaction studies. The originality of the work is the identification of sociocultural factors related to the social sciences that emerge from minority groups' tweets through images, texts, and objects.
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    Sociocultural factors during COVID-19 pandemic: information consumption on Twitter
    (Elsevier, 2021-11-11)
    The purpose of the research is to describe the sociocultural factors that emerged during the COVID-19 pandemic. Twitter is used as an instrument for data collection. The study is qualitative and uses the netnographic method. To analyze the flow of messages posted on Twitter, the model proposed by Perez-Cepeda and Arias-Bolzmann (2020), which describes sociocultural factors, is taken as a basis. The semantics that people use are a type of functional knowledge that reveals sociocultural factors. Sentiments were analyzed through lexicon-based methods, which are the most suitable. The categorization and classification of the data are performed based on the information that users post on Twitter. The tweets related to COVID-19 describe the sociocultural issues and the level of sentiment around the pandemic. The discussion centers on the COVID-19 pandemic, information consumption, lexicon, sociocultural factors and sentiment analysis. The study was limited to the social media Twitter; another limitation was not to consider the social group of the users who interact with @pandemic_Covid-19, official account of the World Health Organization (WHO). This research contributes to the social sciences, focusing on sociocultural interaction through the use of the social network Twitter. It describes the link between sociocultural factors and the level of sentiment on issues related to the COVID-19 pandemic.
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    High economic inequality is linked to greater moralization
    (National Academy of Sciences, 2024-07-01)
    Throughout the 21st century, economic inequality is predicted to increase as we face new challenges, from changes in the technological landscape to the growing climate crisis. It is crucial we understand how these changes in inequality may affect how people think and behave. We propose that economic inequality threatens the social fabric of society, in turn increasing moralization—that is, the greater tendency to employ or emphasize morality in everyday life—as an attempt to restore order and control. Using longitudinal data from X, formerly known as Twitter, our first study demonstrates that high economic inequality is associated with greater use of moral language online (e.g. the use of words such as “disgust”, “hurt”, and “respect’). Study 2 then examined data from 41 regions around the world, generally showing that higher inequality has a small association with harsher moral judgments of people’s everyday actions. Together these findings demonstrate that economic inequality is linked to the tendency to see the world through a moral lens.
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    Social Media Adoption and Reach by Ecuadorian Local Governments: An Empirical Study
    (Inderscience Publishers, 2023-01-01)
    In this article, we present an empirical study about adoption and reach of Facebook, Twitter, and YouTube by Ecuadorian municipal governments. Data was collected from 55 social media profiles of municipal authorities in three provinces, representing 25% of all Ecuadorian cantons and 54% of the population. Determinants of adoption and reach were investigated by resorting to correlation, regression, and means comparison studies. We conclude that population size is a good predictor of reach in social media, but it is not relevant to explain early adoption. This may be the consequence of social media technology being inexpensive and simple to adopt, thus being accessible to any local authority, while making good use of it has more financial and administrative burdens and, consequently, is associated with bigger local authorities. Also, adoption may have been centrally driven and programmatically motivated, which would also explain the lesser relevance of population size for early adoption.
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    Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context
    (Multidisciplinary Digital Publishing Institute (MDPI), 2023-11-01)
    The implementation of the telework model has become popular globally due to the COVID-19 pandemic. However, this new model of work organization generates conflicting opinions regarding the positive and negative effects that its implementation can bring to organizations. In this study, sentiment analysis of Twitter-based teleworking in a post-pandemic COVID-19 context was conducted. A set of Twitter conversations is examined by applying text mining and opinion analysis techniques. The results show the prevalence of positive sentiments regarding telework. In addition, opinions are generally associated with confidence, anticipation, and joy. According to the results, it is recommended to consider telework as an opportunity to improve worker well-being. However, it is important to consider some factors, such as the sector to which the company belongs, the characteristics of the job, and the working conditions.