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Enregistrement W2589817113

Role of Fanship in College Satisfaction through Using SNS for Sports

2016· article· en· W2589817113 sur OpenAlexaboutno aff
Youngmin Yoon, Ryan Wang, Seung-hoon Jeong

Notice bibliographique

RevueJournal of multidisciplinary research · 2016
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueImpact of Technology on Adolescents
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychologyBasketballOnline communityAdvertisingThe InternetSocial network (sociolinguistics)Social mediaFriendshipInternet privacySocial psychologyWorld Wide WebComputer scienceBusiness
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

IntroductionSocial interaction plays an important role in human well-being. Fortunately, sports can serve as an easy and quick medium through which individuals can form affiliation with friends because sport exhibits the human spirit and social bonding (Funk, Mahony, & Ridinger, 2002; Wann, 1995). For example, college students can easily build a social relationship by following and talking about intercollegiate sports such as football and basketball, resulting in increased student interactions, friendships, sentiments, and social affiliation with various groups (Duderstadt, 2001; Sperber, 2000). Sports fans also spend their spare time online and participate in activities such as playing, discussing, watching, and shopping. These sports fans comprise about 19% of all Internet users in the United States (Sachoff, 2008, n.p.). In addition, the growth of social network sites (SNS) could further assist individuals in developing social interactions through sports.In 2015, Facebook, the most popular SNS, has 1.49 billion active users (Smith, 2015, n.p.). Connecting with other users is one of the most influential motivations for online users to formulate an online community (Clavio, 2008). Many college students maintain social relationships with their peer groups through Facebook. Previous research revealed that most college students, approximately between 85% and 99%, enjoy using Facebook (Junco, 2012, p. 162). We live in a high technology generation and can connect with others through various means, including SNS, virtually anywhere and with an increasing number of devices. For example, Choi (2006) revealed that 85% of the study participants listed the maintenance and reinforcement of pre-existing social networks as their main motive for Cyworld (p. 181).Facebook Groups provide a useful medium that members can participate in and on which they can discuss issues based on their interests and activities (Gordon & Stephens, 2007). Thus, sports and various SNSs, especially Facebook groups, provide more opportunities than ever for college sports fans to facilitate their social relationships. Nevertheless, this popularity of sportsrelated social media usage has not received equal research attention. Of note, no research has ever empirically focused on the potential structural relationships among sports fanship, motivations to use sports-related SNS, and college students' life satisfaction.In sum, this study focuses on the effects of being a fan for college sports on college students' motivations to participate in sport-based SNS and thus their overall satisfaction with college experiences. More precisely, considering the popularity of intercollegiate sports and college students' active participation in Facebook sports groups, the researchers posit that students who are college sports fans would be highly motivated to join Facebook groups and subsequently become more satisfied with their college life. This study further explores this proposed structural relationship among fanship, motivations, and college life satisfaction in four different conditions determined by a student's country of origin (i.e., domestic vs. international) and usage frequency (i.e., high vs. low).Conceptual Framework and BackgroundSports Fan and Facebook Groups UsageThe popularity of college football is generally known as the third-most favorite sport in US, behind only the National Football League and Major League Baseball. College football is the second-most popular sport in the United States (U.S.) sports landscape (Dodd, 2015) as well as among those who have a college degree (Clavio & Walsh, 2014). Of note, college-aged young millennial are often SNS users. According to the EDUCAUSE Center for Applied Research (ECAR), among the 36,950 college students surveyed in 127 U.S. and Canadian universities, 90% of college students utilize SNS, and 97% of them are active users of Facebook on a daily basis (Smith & Caruso, 2010, p. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,063
Score d'incertitude au seuil0,264

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,141
Tête enseignante GPT0,475
Écart entre enseignants0,335 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2016
Routes d'admission1
Résumé présentoui

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