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Uttara University VC awarded Postdoctoral by Ranchi University

Uttara University Vice-Chancellor Prof Dr Eaysmin Ara Lekha has been awarded a Postdoctoral by Ranchi University. The “Dr. Of Literature” was conferred upon Dr Lekha  on April 4, 2024, recognising her outstanding academic contributions.

Hilarious : Viral speak English like Shashi Tharoor tutorial has Cong MP in splits [watch]

Congress MP Shashi Tharoor finds hilarity in a viral tutorial teaching the art of speaking English like him, as an Australian teacher s linguistic analysis garners attention and amusement.

English Department introduces new literature topics for spring semester

There are five sections of English 2303: Topics in Literature for the spring semester. Students will have the opportunity to take a class that focuses on Stephen King, Taylor Swift,

The Evolution of Ransomware: Understanding Its Past, Present, and Future

It’s imperative for all organizations to have a plan for how to prevent and respond to ransomware attacks. But in order to understand how to prepare today, it’s also necessary to understand how ransomware has evolved to reach its current state. The post The Evolution of Ransomware: Understanding Its Past, Present, and Future appeared first on Flashpoint.

Frontiers | To Be Ethical and Responsible Digital Citizens or Not: A Linguistic Analysis of Cyberbullying on Social Media

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

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