Predictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors

YouTube has become an increasingly popular source of tourism information. The purpose of this study is to explore the network structures of YouTube videos about Incheon’s Chinatown in South Korea and investigate the potential factors that can predict the viewing of these videos. The analysis of 104...

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Autores principales:	Woohyun Yoo, Taemin Kim, Soobum Lee
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	sustainable tourism tourism social media YouTube social network analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/0c021deacf1047fda152ab84e23f75b1
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id	oai:doaj.org-article:0c021deacf1047fda152ab84e23f75b1
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spelling	oai:doaj.org-article:0c021deacf1047fda152ab84e23f75b12021-11-25T19:01:52ZPredictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors10.3390/su1322125342071-1050https://doaj.org/article/0c021deacf1047fda152ab84e23f75b12021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12534https://doaj.org/toc/2071-1050YouTube has become an increasingly popular source of tourism information. The purpose of this study is to explore the network structures of YouTube videos about Incheon’s Chinatown in South Korea and investigate the potential factors that can predict the viewing of these videos. The analysis of 104 videos about Incheon Chinatown revealed that the engagement factors assessed by the number of comments and likes, and the running time of content, were significant predictors of viewing. However, network structure factors did not predict viewing. These findings make valuable contributions to sustainable tourism research and provide practical guidance for tourism management.Woohyun YooTaemin KimSoobum LeeMDPI AGarticlesustainable tourismtourismsocial mediaYouTubesocial network analysisEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12534, p 12534 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sustainable tourism tourism social media YouTube social network analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	sustainable tourism tourism social media YouTube social network analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Woohyun Yoo Taemin Kim Soobum Lee Predictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors
description	YouTube has become an increasingly popular source of tourism information. The purpose of this study is to explore the network structures of YouTube videos about Incheon’s Chinatown in South Korea and investigate the potential factors that can predict the viewing of these videos. The analysis of 104 videos about Incheon Chinatown revealed that the engagement factors assessed by the number of comments and likes, and the running time of content, were significant predictors of viewing. However, network structure factors did not predict viewing. These findings make valuable contributions to sustainable tourism research and provide practical guidance for tourism management.
format	article
author	Woohyun Yoo Taemin Kim Soobum Lee
author_facet	Woohyun Yoo Taemin Kim Soobum Lee
author_sort	Woohyun Yoo
title	Predictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors
title_short	Predictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors
title_full	Predictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors
title_fullStr	Predictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors
title_full_unstemmed	Predictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors
title_sort	predictors of viewing youtube videos on incheon chinatown tourism in south korea: engagement and network structure factors
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0c021deacf1047fda152ab84e23f75b1
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_version_	1718410384294019072

Predictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors

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