Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/17141
Title: Knowledge and Adoption of Data Driven Journalism Among Media Reporters in MInna, Niger State
Authors: Omale, G.E
Ekhareafo, D. O
Keywords: -Big data, data journalism, data query, Media reporters
Issue Date: Sep-2018
Publisher: Proceedings of the 2nd Information and Communication Technology and its Application (ICTA) (Pp. 461-465).
Abstract: Journalism practice is gradually shifting from just the reportage of spontaneous information to data query and analysis of large data. A precursor to this development was the issue of precision journalism. However, the event of statistical software and searchable compilations of media contents in form of videos, texts and other media forms has given birth to a new form of journalism called data journalism. This paper examined Journalists in Minna knowledge of data driven journalism, their use of data journalism tools and the challenges associated with their use. Anchored on the technological determinism theory and media ecology theory, the paper used survey research method with the questionnaire as instrument to generate data from 286 Journalists who constituted members of the Nigerian Union of Journalists, Niger State Chapter. The results of the study show that many journalist lack knowledge of the form of journalism. They do not use the basic tools of data driven journalism and they are hampered by training opportunities and dearth of skills necessary to venture into this area. The paper concludes that journalists in Minna lack the basic knowledge and tools of the data driven journalists. Hence, it is not practiced in the State. The paper recommends serious training for journalists on the nuances of data driven journalism.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/17141
Appears in Collections:Information and Media Technology

Files in This Item:
File Description SizeFormat 
Paper 105.pdf254.89 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.