An AI-Enabled Approach in Analyzing Media Data: An Example from Data on COVID-19 News Coverage in Vietnam
Quan Hoang Vuong,
Viet-Phuong La,
Thanh-Huyen T. Nguyen,
Minh-Hoang Nguyen,
Tri Le and
Manh-Toan Ho
Additional contact information
Viet-Phuong La: Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam
Thanh-Huyen T. Nguyen: Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam
Minh-Hoang Nguyen: Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam
Manh-Toan Ho: Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam
Data, 2021, vol. 6, issue 7, 1-14
Abstract:
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.
Keywords: online media data; content analysis; AI-enabled web crawling (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2306-5729/6/7/70/pdf (application/pdf)
https://www.mdpi.com/2306-5729/6/7/70/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:6:y:2021:i:7:p:70-:d:582179
Access Statistics for this article
Data is currently edited by Ms. Cecilia Yang
More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().