Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Using AI to Combat Sexism Among Facebook Shona Users in Zimbabwe

Domaine:

natural language processing

Type de record:

paper
Créateur:
Wil
Éditeur:
IGI Global
Hôte:
The chapter interrogated sexism and misogyny which is displayed against women on Facebook in Zimbabwe. The hostile engagements tend to close space for women on such key social media platforms which is vital for building social networks, for business engagements and for learning. This exclusion of women for fear of being harassed leads to further marginalization of women in politics, business and education. A case study of China is submitted as a country that monitors social media in both ex -ante and ex- post. The chapter uses ambivalent sexism theory, decolonial theory, deconstruction theory and postcolonial theory. The chapter postulates the use of Artificial Intelligence to control the profanity that is directed against women and people of other sexualities. The chapter also reviewed the international, continental and regional framework that supports gender equality.

Visit

doi.org

Tasks

hate speech detectiontext classification

Languages

Shona

Similaires

Impoliteness among multilingual Facebook users in Congo BrazzavilleSemiotic Analysis of Gender Constructions among Facebook Users in KenyaUsing GPT-4 to Tutor Python Programming in Shona and Ndebele in ZimbabweIndigenising Facebook language: Use of local languages in Facebook communication among a selected group of Kenyan internet usersUsers' Traces for Enhancing Arabic Facebook SearchLeveraging AI-Powered Learning Tools in Developing Critical Thinking Skills among Nigerian Undergraduates to Combat Insecurity

Impoliteness among multilingual Facebook users in Congo Brazzaville

Abstract This paper analyses a 265,147-word corpus of multilingual Facebook comments discussing pol

Semiotic Analysis of Gender Constructions among Facebook Users in Kenya

This study aimed at examining how male and female identities are constructed using visual images pos

Using GPT-4 to Tutor Python Programming in Shona and Ndebele in Zimbabwe

Indigenising Facebook language: Use of local languages in Facebook communication among a selected group of Kenyan internet users

This paper interrogates how Facebook use in Kenya is being localised to serve everyone: Local people

Users' Traces for Enhancing Arabic Facebook Search

International audience This paper proposes an approach on Facebook search in Arabic,

Leveraging AI-Powered Learning Tools in Developing Critical Thinking Skills among Nigerian Undergraduates to Combat Insecurity

The use of Artificial Intelligence (AI) has not 
just been limited to tech fi