Item Infomation
Title: |
An AI-Enabled Approach in Analyzing Media Data: An Example from Data on COVID-19 News Coverage in Vietnam |
Authors: |
Quan Hoang, Vuong Viet Phuong, La Thanh Huyen T, Nguyen Minh Hoang. Nguyen Tam Tri. Le Manh Toan. Ho |
Issue Date: |
2021 |
Publisher: |
MDPI Jourmals |
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. |
Description: |
6(7), 70 |
URI: |
https://dlib.phenikaa-uni.edu.vn/handle/PNK/4012 |
Appears in Collections |
Bài báo khoa học |
ABSTRACTS VIEWS
24
FULLTEXT VIEWS
0
Files in This Item:
There are no files associated with this item.