Some apps grab your eyeballs for more time than others, but which is the social network that we spend the most time on around the world? "Digital 2023 April Global Statshot Report," published by Meltwater and We Are Social in April 2023 presents a clear picture
Technological progress keeps transforming our lives. From small to big changes, our lives are completely different compared to just a few years ago. Every day more and more people gain access to the internet. Digital 2022 April Global Statshot report shows that 63 percent of the world's total population is now online, using the internet in almost every element of their lives, from communication, working, schooling, and even banking. Everything we do while online leaves a digital trail behind. From our names and usernames to our communication details or location, we leave many pieces of information that can reveal much
As the world’s heaviest internet users, Filipinos may soon see the country’s internet speed increase to a minimum of 65 megabit per second (Mbps) for fixed broadband and 30 Mbps for mobile internet access if a bill by House Deputy Speaker and Batangas 6th District Rep. Ralph Recto becomes law.
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As a worldwide epidemic in the digital age, cyberbullying is a pertinent but understudied concern especially from the perspective of language. Elucidating the linguistic features of cyberbullying is critical both to preventing it and to cultivating ethical and responsible digital citizens. In this study, a mixed-method approach integrating lexical feature analysis, sentiment polarity analysis, and semantic network analysis was adopted to develop a deeper understanding of cyberbullying language. Five cyberbullying cases on Chinese social media were analyzed to uncover explicit and implicit linguistic features. Results indicated that cyberbullying comments had significantly different linguistic profiles than non-bullying comments and that explicit and implicit bullying were distinct. The content of cases further suggested that cyberbullying language varied in the use of words, types of cyberbullying, and sentiment polarity. These findings offer useful insight for designing automatic cybe