{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:58:17Z","timestamp":1761897497736,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T00:00:00Z","timestamp":1624579200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>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\u2019s 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.<\/jats:p>","DOI":"10.3390\/data6070070","type":"journal-article","created":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T11:07:40Z","timestamp":1624619260000},"page":"70","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An AI-Enabled Approach in Analyzing Media Data: An Example from Data on COVID-19 News Coverage in Vietnam"],"prefix":"10.3390","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0790-1576","authenticated-orcid":false,"given":"Quan-Hoang","family":"Vuong","sequence":"first","affiliation":[{"name":"Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4301-9292","authenticated-orcid":false,"given":"Viet-Phuong","family":"La","sequence":"additional","affiliation":[{"name":"Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam"}]},{"given":"Thanh-Huyen T.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam"}]},{"given":"Minh-Hoang","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3384-4827","authenticated-orcid":false,"given":"Tam-Tri","family":"Le","sequence":"additional","affiliation":[{"name":"Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam"},{"name":"AI for Social Data Lab, Vuong & Associates, Ha Noi 100000, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8292-0120","authenticated-orcid":false,"given":"Manh-Toan","family":"Ho","sequence":"additional","affiliation":[{"name":"Centre for Interdisciplinary Social Research, Phenikaa University, Ha Noi 100803, Vietnam"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"101942","DOI":"10.1016\/j.gloenvcha.2019.101942","article-title":"Nationalizing a global phenomenon: A study of how the press in 45 countries and territories portrays climate change","volume":"58","author":"Vu","year":"2019","journal-title":"Glob. 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