An analysis of the social structure of remix culture

Cheliotis, Giorgos; Yew, Jude

doi:10.1145/1556460.1556485

Cited by 55 publications

(61 citation statements)

References 8 publications

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“…This work has pointed to the existence of norms [5] and the territoriality of digital creators [26] and has considered issues of motivation [4]. However, empirical work has yet to unpack in detail the key social mechanisms that scholars have suggested drive behavior, norms, and motivation in remixing communities.…”

Section: Arxiv:150701285v1 [Cshc] 5 Jul 2015mentioning

confidence: 99%

“…Yet, despite a wide interest in remixing and authorship, researchers have only recently engaged in empirical research on the subject [4]. Several recent treatments have presented studies of video remixing communities [5,24], music remixing communities [4], collaborative video game communities [13] and social network sites [18].…”

Section: Introductionmentioning

confidence: 99%

“…Several recent treatments have presented studies of video remixing communities [5,24], music remixing communities [4], collaborative video game communities [13] and social network sites [18]. There is also another quantitative study of our empirical setting [8] focused on characterizing the variety of responses to remixing.…”

Section: Introductionmentioning

confidence: 99%

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Computers can't give credit

Monroy-Hernández¹,

Hill²,

Gonzalez-Rivero³

et al. 2011

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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In this paper, we explore the role that attribution plays in shaping user reactions to content reuse, or remixing, in a large user-generated content community. We present two studies using data from the Scratch online communitya social media platform where hundreds of thousands of young people share and remix animations and video games. First, we present a quantitative analysis that examines the effects of a technological design intervention introducing automated attribution of remixes on users' reactions to being remixed. We compare this analysis to a parallel examination of "manual" credit-giving. Second, we present a qualitative analysis of twelve in-depth, semi-structured, interviews with Scratch participants on the subject of remixing and attribution. Results from both studies suggest that automatic attribution done by technological systems (i.e., the listing of names of contributors) plays a role that is distinct from, and less valuable than, credit which may superficially involve identical information but takes on new meaning when it is given by a human remixer. We discuss the implications of these findings for the designers of online communities and social media platforms.

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Section: Arxiv:150701285v1 [Cshc] 5 Jul 2015mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computers can't give credit

Monroy-Hernández¹,

Hill²,

Gonzalez-Rivero³

et al. 2011

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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show abstract

“…For example [8] describes the network of video creations around the social phenomenon of virtual japanese singer Hatsune Miku in the video sharing site Nico Nico Douga. Similarly, the network of collaborative works at CC-Mixter (a community of musicians that share sounds under CC) is studied in [9].…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, unlike networks of musicians mentioned above, we don't study explicit friendship or collaboration relations. Our work is also close to [8] and [9] but instead of networks of documents, we analyze networks of users. To our knowledge, no previous study has analyzed user networks in audio clip sharing.…”

Section: Related Workmentioning

confidence: 99%

Community Structure in Audio Clip Sharing

Roma

Herrera

2010

2010 International Conference on Intelligent Networking and Collaborative Systems

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Abstract-This paper describes the application of several network analysis techniques to the networks of users in audio clip sharing sites. Two kinds of networks are described: one based on the file downloading activity, and the other based on semantic similarity in the use of free tags to annotate sounds. The properties of these networks as well as their community structure are analyzed using data from Freesound, a very popular audio clip sharing site. Both are characterized as "small worlds". The component structure of the file downloading network provides a general overview of the user community which resembles the structure of the world wide web. On the other hand the analysis of the community structure of the semantic network using modularity optimization appears to be a good way to identify the different semantic areas in the site.

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Youth identities as remixers in an online community of storytellers: Attitudes, strategies, and values

Ahn

Subramaniam

Fleischmann

et al. 2012

Proc of Assoc for Info

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In today's media-rich world, youths are not merely consumers, but also active creators of information. Digital tools allow authors to more easily remix and copy previous works. These new media practices have brought issues of appropriation, copyright, privacy, information behavior, and information literacy to the forefront. In this paper, we present a case study of a hybrid online and offline community of middle school students designed to help them develop identities as scientists through storytelling. The case illuminates the complex issues of appropriation and remix that arise when youths create, share, copy, and adapt their peers' media artifacts. Our analysis then highlights how youths, who are evolving as information literate individuals, identify with (a) attitudes towards information appropriation, (b) strategies of remix, and (c) the underlying values that motivate their ideas about remix practices.

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An analysis of the social structure of remix culture

Cited by 55 publications

References 8 publications

Computers can't give credit

Computers can't give credit

Community Structure in Audio Clip Sharing

Youth identities as remixers in an online community of storytellers: Attitudes, strategies, and values

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