文章基本信息

标题：An AI-Enabled Approach in Analyzing Media Data: An Example from Data on COVID-19 News Coverage in Vietnam
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作者：Quan-Hoang Vuong ; Viet-Phuong La ; Thanh-Huyen T. Nguyen 等
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2021
卷号：6
期号：7
页码：70
DOI：10.3390/data6070070
出版社：MDPI Publishing
摘要：This method article presents the nuts and bolts of an AI-enabled approach to extracting and analyzing social media data. The method is based on our previous rapidly cited COVID-19 research publication, working on a dataset of more than 14,000 news articles from Vietnamese newspapers, to provide a comprehensive picture of how Vietnam has been responding to this unprecedented pandemic. This same method is behind our IUCN-supported research regarding the social aspects of environmental protection missions, now appearing in print in Wiley’s Corporate Social Responsibility and Environmental Management. Homemade AI-enabled software was the backbone of the study. The software has provided a fast and automatic approach in collecting and analyzing social data. Moreover, the tool also allows manually sorting the data, AI-generated word tokenizing in the Vietnamese language, and powerful visualization. The method hopes to provide an effective but low-cost method for social scientists to gather a massive amount of data and analyze them in a short amount of time.
关键词：online media data; content analysis; AI-enabled web crawling online media data ; content analysis ; AI-enabled web crawling