What makes sports fans interactive? Identifying factors affecting chat interactions in online sports viewing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ko, M. | - |
dc.contributor.author | Yeo, J. | - |
dc.contributor.author | Lee, J. | - |
dc.contributor.author | Lee, U. | - |
dc.contributor.author | Jang, Y.J. | - |
dc.date.accessioned | 2021-06-22T18:04:17Z | - |
dc.date.available | 2021-06-22T18:04:17Z | - |
dc.date.issued | 2016-02 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/15602 | - |
dc.description.abstract | Sports fans are able to watch games from many locations using TV services while interacting with other fans online. In this paper, we identify the factors that affect sports viewers' online interactions. Using a large-scale dataset of more than 25 million chat messages from a popular social TV site for baseball, we extract various game-related factors, and investigate the relationships between these factors and fans' interactions using a series of multiple regression analyses. As a result, we identify several factors that are significantly related to viewer interactions. In addition, we determine that the influence of these factors varies according to the user group; i.e., active vs. less active users, and loyal vs. non-loyal users. © 2016 Ko et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | - |
dc.format.extent | 20 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Public Library of Science | - |
dc.title | What makes sports fans interactive? Identifying factors affecting chat interactions in online sports viewing | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1371/journal.pone.0148377 | - |
dc.identifier.scopusid | 2-s2.0-84959210008 | - |
dc.identifier.wosid | 000369554000083 | - |
dc.identifier.bibliographicCitation | PLoS ONE, v.11, no.2, pp 1 - 20 | - |
dc.citation.title | PLoS ONE | - |
dc.citation.volume | 11 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 20 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.subject.keywordPlus | baseball | - |
dc.subject.keywordPlus | controlled study | - |
dc.subject.keywordPlus | extract | - |
dc.subject.keywordPlus | human | - |
dc.subject.keywordPlus | multiple regression | - |
dc.subject.keywordPlus | sport | - |
dc.subject.keywordPlus | Internet | - |
dc.subject.keywordPlus | Markov chain | - |
dc.subject.keywordPlus | psychology | - |
dc.subject.keywordPlus | regression analysis | - |
dc.subject.keywordPlus | social media | - |
dc.subject.keywordPlus | South Korea | - |
dc.subject.keywordPlus | sport | - |
dc.subject.keywordPlus | statistics and numerical data | - |
dc.subject.keywordPlus | television | - |
dc.subject.keywordPlus | theoretical model | - |
dc.subject.keywordPlus | Baseball | - |
dc.subject.keywordPlus | Humans | - |
dc.subject.keywordPlus | Internet | - |
dc.subject.keywordPlus | Markov Chains | - |
dc.subject.keywordPlus | Models, Theoretical | - |
dc.subject.keywordPlus | Regression Analysis | - |
dc.subject.keywordPlus | Republic of Korea | - |
dc.subject.keywordPlus | Social Media | - |
dc.subject.keywordPlus | Sports | - |
dc.subject.keywordPlus | Television | - |
dc.subject.keywordAuthor | BASEBALL | - |
dc.subject.keywordAuthor | OPTIMIZATION | - |
dc.identifier.url | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148377 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.