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All Journal ALSYSTECH Journal of Education Technology International Journal of Humanities, Education, and Social Sciences
Shem, Woyopwa
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Religion Humanities Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Social Sciences

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Mediatisation Dynamics and Broadcast News Selection Approaches in Nigeria During the Covid-19 Era Sam, Godwin; Obong, Ubong Andem; Shem, Woyopwa
International Journal of Humanities, Education, and Social Sciences Vol 2 No 1 (2024): International Journal of Humanities, Education, and Social Sciences
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijhess.v2i1.2597

Abstract

This study examines how the dynamics surrounding mediatisation of COVID-19 narratives significantly impacted broadcast news selection among broadcast media professionals in Nigeria. It conceptually expounds on certain influences that mediatisation dynamics exert on broadcast news stories especially on how they were chosen, framed, and presented to the public. The theoretical foundation of this paper is provided by the Media System Dependency and Mediatisation theories. The study employs Hjarvard, Mortensen, and Eskjaer’s (2015) typologies of media dynamics: amplification, framing, performance avenues, and co-structuring to relate how mediatisation influences broadcast news selection. The study revealed that amplification entails the media’s power to magnify event, focusing predominantly on the negative aspects of the pandemic, such as death tolls and infection rates, which aligns with the typical newsworthiness criteria favouring the extraordinary and negative. Conversely, framing and performance avenues align with the broadcast media’s ability to shape how the pandemic was perceived by selecting terminology and emphasising specific issues. This includes sensitising the public on preventive measures and providing a platform for various stakeholders to communicate their actions. Co-structuring explores how the broadcast media, often controlled by the elite, influence the public agenda and prompt actions from authorities. The paper concludes that broadcast media not only influence society but are also influenced by the concept of mеdiatisation, acknowledging the vital role they play in providing information for societal well-being.
Challenges and Prospects of Artificial Intelligence in Nigerian Journalism Practice: A Narrative Review Gbaden, Chiakaan Jacob; Gambo, Sarah; Shem, Woyopwa
ALSYSTECH Journal of Education Technology Vol 2 No 2 (2024): ALSYSTECH Journal of Education Technology
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsystech.v2i2.2946

Abstract

The integration of artificial intelligence (AI) into Nigerian journalism practices presents both challenges and prospects for the industry. This paper explores the dynamic interplay between AI technologies and journalism in Nigeria, addressing key conceptual clarifications, theoretical frameworks, challenges, and prospects associated with AI utilization in the field. Drawing upon existing literature, the study examines the multifaceted nature of AI, ranging from its conceptual underpinnings to its practical applications in journalism. It utilizes the Technology-Organization-Environment (TOE) framework to analyze the factors influencing AI adoption within Nigerian newsrooms, considering technological, organizational, and environmental contexts. Identifying challenges such as infrastructural limitations, financial constraints, cultural resistance, and ethical considerations, the paper elucidates the complexities inherent in AI integration in Nigerian journalism. These challenges encompass issues of data quality, transparency, bias, and accountability, underscoring the need for responsible AI implementation and robust ethical frameworks. Additionally, the paper discusses the prospects offered by AI in enhancing journalistic efficiency, facilitating data-driven reporting, personalizing news delivery, and combating misinformation. By leveraging AI for fact-checking, multilingual reporting, predictive analytics, and automated content generation, Nigerian journalists can innovate and adapt to the evolving media landscape. Moreover, AI presents opportunities for improving audience engagement, storytelling, collaboration, and addressing bias and ethics concerns. Embracing AI in journalism also creates educational pathways for aspiring journalists, fostering skill development and innovation in the industry.
Co-Authors Gambo, Sarah Gbaden, Chiakaan Jacob Obong, Ubong Andem Sam, Godwin