Leveraging Data Analytics and Visualization Tools to Uncover In-depth Insights in Journalism: Techniques and Applications

It's no exaggeration to say that data-driven journalism has taken off in the era of the Internet. Data analytics and visualisation tools help journalists uncover more in-depth insights into their stories and present complex information in a more easily understandable way. There are different ways to collect, analyse and visualise data. Various tools, from Web scraping to sophisticated coding or modelling are used depending on the topic, data type, and objectives the journalist wants to achieve with them. The purpose of this paper is to showcase the techniques and applications in data-driven journalism, and to offer a concise overview of the topic. It is clear from the case studies and technological development presented below that data journalism does have a transformative power in helping to tell better stories and to better engage audiences by offering more context to important issues. Of course, one of the greatest challenges for data journalism is the traditional problem journalists have in general: accuracy, humanity, and context. These are as important as ever in the data age. The purpose of this paper is to showcase the techniques and applications in data-driven journalism, and to offer a concise overview of the topic.