2016
DOI: 10.5429/2079-3871(2016)v6i1.4en
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Fandom, Music and Personal Relationships through Media: How Teenagers Use Social Networks

Abstract: This paper analyses the practices and products of the One Direction fan community, focusing on the interaction of adolescent girls with certain types of texts present on social networks. We examine how adolescents approach music celebrities when they participate in fandom online and offline communities, supported by online social networks that rely on the use of multimodal semiotic resources. We adopt an ethnographic perspective, mixing narrative and analytical interpretations, and seeking to overcome the cont… Show more

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Cited by 5 publications
(5 citation statements)
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References 29 publications
(23 reference statements)
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“…However, because they see the rest of the crowd at the event as ‘us’, they interact with strangers differently (in terms of both quality and quantity) than they would do in mere physical crowds where there is no sense of shared identity or psychological unity (such as those at a shopping centre or transport hubs) ( Drury et al, 2015 , Hopkins et al, 2019 , Neville and Reicher, 2011 , Novelli et al, 2013 ). In addition, many of the people who attend these events are connected through digital networks outside the event itself ( Billings et al, 2017 , Lacasa et al, 2016 ), meaning that at each event there will be a number of other people that they already know, even if just as acquaintances. This creates the conditions for extensive interaction between people who normally belong to different social networks (e.g., geographically, occupationally).…”
Section: A Framework For Understanding Collective Behaviour Behavioural Risks and Mitigations At Live Events And Venuesmentioning
confidence: 99%
“…However, because they see the rest of the crowd at the event as ‘us’, they interact with strangers differently (in terms of both quality and quantity) than they would do in mere physical crowds where there is no sense of shared identity or psychological unity (such as those at a shopping centre or transport hubs) ( Drury et al, 2015 , Hopkins et al, 2019 , Neville and Reicher, 2011 , Novelli et al, 2013 ). In addition, many of the people who attend these events are connected through digital networks outside the event itself ( Billings et al, 2017 , Lacasa et al, 2016 ), meaning that at each event there will be a number of other people that they already know, even if just as acquaintances. This creates the conditions for extensive interaction between people who normally belong to different social networks (e.g., geographically, occupationally).…”
Section: A Framework For Understanding Collective Behaviour Behavioural Risks and Mitigations At Live Events And Venuesmentioning
confidence: 99%
“…These interactions often result in spaces for community members to feel a sense of belonging, make inside jokes, and share experiences, online and offline. These social groups include, e.g., a community of music fans to bond over their common interests (Lacasa et al 2016), and groups uniting people over a collective social issue. For example, the #MeToo movement, used to bring awareness to sexual assault and its survivors, first gained traction on the connective network Twitter (Hosterman et al 2018).…”
Section: Creating Far-reaching Communitiesmentioning
confidence: 99%
“…However, because they see the rest of the crowd at the event as 'us', they interact with strangers differently (in terms of both quality and quantity) than they would do in mere physical crowds where there is no sense of shared identity or psychological unity (such as those at a shopping centre or transport hubs) (Drury et al, 2015;Hopkins et al, 2019;Neville & Reicher, 2011;Novelli et al, 2013). In addition, many of the people who attend these events are connected through digital networks outside the event itself (Billings, Qiao, Conlin, & Nie, 2017;Lacasa, Zaballos, & de la Fuente Prieto, 2016), meaning that at each event there will be a number of other people that they already know, even if just as acquaintances. This creates the conditions for extensive interaction between people who normally belong to different social networks (e.g., geographically, occupationally).…”
Section: Group Identitiesmentioning
confidence: 99%