Data journalism: Reporting through numbers and upholding the canons of journalism
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Date
2024-08-15
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Journal of Research and Development
Abstract
The study "Data Journalism: Reporting through Numbers and Upholding the Canons of Journalism" examines the fusion of storytelling and numerical analysis in journalism. It emphasizes the importance of accuracy, dataset verification, and open reporting practices in data journalism. The paper also highlights the revised notion of fairness in data journalism, which requires removing biases in data sources and algorithms. Fairness involves being aware of biases in data and working towards an equitable representation of opinions. Transparency is a growing commitment in data journalism, replacing objectivity with a more nuanced approach. Journalists become guides through the data world, admitting their limitations, uncertainties, and potential biases. The amalgamation of conventional objectivity and an open method of interpreting data amplifies the legitimacy of journalism pursuits. Accountability is crucial in the era of data journalism. Working together, journalists and data scientists must clearly define roles, own up to mistakes quickly, and be open about the sources and methods of data. A possible way for newsrooms to adapt to this data-driven environment is to combine conventional and modern methods. The challenges presented by data journalism present opportunities to restate fundamental values of truthfulness, impartiality, objectivity, and responsibility, leading to a more perceptive, captivating, and morally sound kind of journalism in the digital era.
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Journal of Research and Development, 9(1),2024, 11-13