Browsing by Subject "Hate speech"

Now showing items 1-5 of 5

    • Computational analysis and detection of Bengali communal violent speech 

      Khondoker, Abdullah; Taufik, Enam Ahmed; Tashik, Md. Iftekhar Islam; Mahmud, S M Ishtiak (Brac University, 2024-06)
      Communal violence is intensified by the widespread use of cyber hate, leading to aggression and increased conflicts among different religious, ethnic, and social groups, creating a barrier to social harmony. This research ...

    • Hate speech detection using machine learning techniques 

      Manzoor, Tahbib; Araf, Md. Wahidur Rahman; Omi, Monjurul Sharker; Abir, Arpan Das; Abir, Tanvir Ahmed (Brac University, 2022-05)
      Social media and sharing platforms are improving in tandem with the internet. Although, humanity has bene ted from these platforms in a variety of ways. However, many people were faced with a variety of obstacles and ...

    • Identifying code-mixed and code-switched hateful remarks on social media using NLP 

      Sinha, Sumaiya; Nawar, Naharin Siddiqui; Khan, Md. Abrar Faiaz (Brac University, 2024-05)
      Online bullying has prevailed for years in the vast cesspool that is commonly known as the online social media. Increasing use of social media and online communication has led to a rise in cyberbullying– which is often ...

    • Novel approach to detect hate speech and profanity on online platforms 

      Pritha, Barha Meherun; Islam, Samin; Alam, Tabassum (Brac University, 2021-09)
      Hate speech is becoming more prominent and dominant in the virtual world, with the popularity of social media increasing day by day. People nowadays have various online platforms where they can express their hatred and ...

    • TikNep: content analysis of Nepali TikTok users using natural language processing 

      Dhakal, Aakar; Lamichhane, Ashok; Jha, Aatish Kumar; Singh, Mukund Prasad (Brac University, 2024-05)
      Nepal, with an approximate population of 29 million, has over 2.2 million active TikTok users, TikTok has gained attention as a platform for self-expression and social connection among diverse age groups. Users in Nepal ...