Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15408
Title: Knowledge and Use of Data-Driven Journalism Among Media Reporters in Minna, Niger State, Nigeria
Authors: Omale, G.E.
Ekhareafo, D. O.
Galadima, A. B.
Muhammad, D. S. K
Keywords: Big data, data journalism, data query, text mining, dara mining
Issue Date: 2019
Publisher: FUOYE Journal of Communication. A publication of Department of Mass Communication, Federal University Oye-Ekiti
Series/Report no.: Volume 3.;
Abstract: This paper examined Journalists in Minna knowledge of data driven journalism, the extent of their use, the various tools used and the challenges associated with their use. Anchored on the technological determinism theory and media ecology theory, the paper used survey research method with questionnaire and interview as instrument to generate data from 262 respondents who are registered journalists in the State. Findings show that the knowledge base of data driven journalism among journalists in Minna is very low. Almost all the journalist contacted has never attempted to use it in practice. Further findings reveal that the lack of training and necessary skills in the use of the software for data mining are some of the challenges limiting their capacity to use data driven journalism in their reportage. They expressed phobia for the mathematical, numerical and scientific nature of data journalism because they are more familiar with the traditional method of news gathering and reporting and are not ready to accept the reality of the new trend in contemporary journalistic reporting. The paper recommends serious training for journalists on the nuances of data driven journalism.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15408
ISSN: ISSN: 2630-7316 (Print).
Appears in Collections:Information and Media Technology



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