Artificial Intelligence and Broadcasting in Information Driven Society: Imo State, Nigeria in Perspective

Background: Artificial intelligence has affected all facet of human endeavour including broadcasting especially in this era of technological advancement. Objective: The study amongst others sought to ascertain extent of which the emergence of AI have impacted broadcasting in information driven society like Nigeria, with a focus in Owerri Imo State. The study was anchored on the diffusion of innovation theory. Method: The study is a qualitative study. The researchers made use of in-depth interview as the research method. Interview guide served as the instrument for data collection. The population consisted of journalists in Imo State. Meanwhile the sample size was purposively drawn from 5 broadcast stations in Imo State. Result: It was revealed that Artificial Intelligence (AI) inclusion in broadcasting is an avenue for a dynamic and unique form of broadcasting and therefore a welcomed development. Conclusion: Artificial Intelligence (AI) inclusion in the broadcast world should be treated as an avenue for growth and measures should be taken for proper introduction in the Nigeria media industry in other to compete effectively and efficiently in the global media space. Unique Contribution: This study has been able to look into the contribution of artificial intelligence in broadcasting especially from the perspective of qualitative method. Key Recommendation: It was recommended that media stations and workers alike should join the moving train of adopting relevant AI tools and knowledge to avoid been obsolete in its operations and activities.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-28
DOI
https://doi.org/10.5281/zenodo.14567501
Primary Topic
Media Influence and Politics
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Broadcasting in Information Driven Society: Imo State, Nigeria in Perspective

Zenodo (CERN European Organization for Nuclear Research)
Media Influence and Politics
article

Artificial Intelligence and Broadcasting in Information Driven Society: Imo State, Nigeria in Perspective

article en

Abstract

Background: Artificial intelligence has affected all facet of human endeavour including broadcasting especially in this era of technological advancement. Objective: The study amongst others sought to ascertain extent of which the emergence of AI have impacted broadcasting in information driven society like Nigeria, with a focus in Owerri Imo State. The study was anchored on the diffusion of innovation theory. Method: The study is a qualitative study. The researchers made use of in-depth interview as the research method. Interview guide served as the instrument for data collection. The population consisted of journalists in Imo State. Meanwhile the sample size was purposively drawn from 5 broadcast stations in Imo State. Result: It was revealed that Artificial Intelligence (AI) inclusion in broadcasting is an avenue for a dynamic and unique form of broadcasting and therefore a welcomed development. Conclusion: Artificial Intelligence (AI) inclusion in the broadcast world should be treated as an avenue for growth and measures should be taken for proper introduction in the Nigeria media industry in other to compete effectively and efficiently in the global media space. Unique Contribution: This study has been able to look into the contribution of artificial intelligence in broadcasting especially from the perspective of qualitative method. Key Recommendation: It was recommended that media stations and workers alike should join the moving train of adopting relevant AI tools and knowledge to avoid been obsolete in its operations and activities.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Media Influence and Politics
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Artificial Intelligence and Broadcasting in Information Driven Society: Imo State, Nigeria in Perspective · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS