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Mapping the Asean YouTube Uploaders

Bibliographic Data

ID21988023
AuthorsAlbertus Magnus Prestianta (0000-0002-4320-6645, Multimedia Nusantara University, corresponding author)
Year2021
Volume6
Issue1
Pages1
Publication date2021-01-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJurnal ASPIKOM (JOURNAL)
Journal identifiersISSN: 2087-0442 • E-ISSN: 2548-8309
PublisherJurnal ASPIKOM (PUBLISHER)
DOI10.24329/aspikom.v6i1.761
OpenAlexW3126011910
LanguageEN
Citations received4
References cited5

YouTube can now be categorized as mainstream media. It can be seen as a disruptive force in business and society, particularly concerning young people. There have been several recent studies about YouTube, providing essential insights on YouTube videos, viewers, social behavior, video traffic, and recommendation systems. However, research about YouTube uploaders has not been done much, especially YouTube uploaders from ASEAN countries. Using a combination of web content mining and content analysis, this paper reviews 600 YouTube uploaders using the data of Top 100 favorite YouTube uploaders in six ASEAN countries (Indonesia, Singapore, Malaysia, Thailand, Vietnam, and the Philippines), which are retrieved from NoxInfluencer. The study aims to provide a wider picture of YouTube uploaders' characteristics from six ASEAN countries. This study also provides useful information about how to retrieve web documents using Google Web Scrapper automatically. The study results found that the entertainment category dominated the top 100 positions of the NoxInfluencer version. In almost every country analyzed, channels related to news and politics are less attractive to YouTube users. For YouTube uploaders, YouTube can be a potential revenue source through advertising or in collaboration with specific brands. Through the analysis, we discovered that engagement is the critical factor in generating income in the form of likes, dislikes, and comments

Advertising · Business · Entertainment · Internet privacy · Mainstream · Political science · Revenue · Sentiment analysis · Social media · World Wide Web · Computer Science · Digital Marketing and Social Media · Sentiment Analysis and Opinion Mining

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Unique citing works4
Citations per year1
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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