EXPLORING THE USE OF DATA-DRIVEN JOURNALISM IN THAI MASS MEDIA

Monwipa Wongrujira
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Abstract

Technology and mobile devices allow many news consumers become news senders?prosumer (i.e. being both consumers and producers of news and information at the same time). Anyone could be a reporter. Also, there are tons of news and information flow around us every day. The differences between media reporting stories and information running around social media are the quality of news and information. If the media do only report ?who what when where why how,? they did not accomplish their task as a journalist. Data-driven journalism becomes significant in news reporting process. It needs not merely Big Data, but also analysis process and presentation. This paper intends to explore the use of data journalism among the mass media in Thailand. Whereas social media become more and more popular and drawing attention among Thai news consumers, the professional media need to differentiate their news reporting to focus on in-depth or investigative reporting. How the professional media apply data-driven journalism; to what extend did they use data for reporting a story; and what are the obstacles affecting their application of data journalism. Factors affecting the use of data-driven journalism included: data sources (incomplete, unstructured, and difficult to access), data compiling, time consuming and limitation of technology for data analysis and presentation.
探索数据驱动新闻在泰国大众媒体中的应用
科技和移动设备让许多新闻消费者成为新闻发送者?生产消费者(即同时是新闻和信息的消费者和生产者)。任何人都可以成为记者。此外,每天都有大量的新闻和信息在我们周围流动。媒体报道的故事和在社交媒体上传播的信息的区别在于新闻和信息的质量。如果媒体只报道?谁什么时候哪里为什么怎么?他们没有完成作为记者的任务。数据驱动新闻在新闻报道过程中变得越来越重要。它不仅需要大数据,还需要分析过程和展示。本文旨在探讨数据新闻在泰国大众媒体中的应用。随着社交媒体越来越受欢迎并引起泰国新闻消费者的关注,专业媒体需要区分他们的新闻报道,专注于深度或调查性报道。专业媒体如何应用数据驱动新闻;他们在多大程度上使用数据来报道一个故事?以及影响他们应用数据新闻的障碍是什么。影响使用数据驱动新闻的因素包括:数据源(不完整、非结构化和难以获取)、数据汇编、耗时以及数据分析和呈现技术的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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