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Item type:Publication, 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robotic Process Automation Acceptance in Office Settings. A Revised UTAUT Model in Cosmetics Industry(Springer Science+Business Media, 2026-09-01)