Representations of Gender Based Violence in Kenyan Soaps and their Reverberation on Audience attitudes, perceptions and Behaviour

Authors

  • Susan Kung'u 1. Department of Journalism and Mass Communication, University of Nairobi, Nairobi, Kenya
  • Sam Kamau School of Media and Communications, Aga Khan University

Keywords:

Kenya, representation, soap operas, gender based violence, audience

Abstract

This research study adopted an analytical design to examine the representations of gender-based violence in Kenyan soap operas and their reverberation on viewer attitudes, perceptions, and behaviour. Grounded in media representation, framing theory, and social constructivism, the study explored the multifaceted depictions of gender-based violence within these popular television dramas. Employing content analysis and focus group discussions as research methods, the study aimed to uncover patterns, themes, and underlying messages pertaining to gender-based violence in the selected soap operas. Through content analysis, the research analyzed the portrayal of gender-based violence, while focus group discussions provided a platform to delve into viewer perspectives, interpretations, and responses to these representations. By combining these research methods, this study endeavored to illuminate the impact and consequences of these media portrayals on viewer attitudes, perceptions, and behaviour. The findings of this study will contribute valuable insights to media policy and practice, social intervention strategies, and audience engagement approaches.

Downloads

Download data is not yet available.

Downloads

Published

2023-10-02

How to Cite

Kung'u, S., & Kamau, S. (2023). Representations of Gender Based Violence in Kenyan Soaps and their Reverberation on Audience attitudes, perceptions and Behaviour. Kabarak Journal of Research & Innovation, 13(1), 52–70. Retrieved from https://journals.kabarak.ac.ke/index.php/kjri/article/view/289

Issue

Section

Education, Humanities and Social Sciences

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.