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  • 标题:Twitter Archives and the Challenges of "Big Social Data" for Media and Communication Research
  • 本地全文:下载
  • 作者:Jean Burgess ; Axel Bruns
  • 期刊名称:M/C Journal
  • 印刷版ISSN:1441-2616
  • 出版年度:2012
  • 卷号:15
  • 期号:05
  • 页码:1-5
  • 出版社:M/C - Media and Culture
  • 摘要:Lists have long been an ordering mechanism for computer-mediated social interaction. While far from being the first such mechanism, blogrolls offered an opportunity for bloggers to provide a list of their peers; the present generation of social media environments similarly provide lists of friends and followers. Where blogrolls and other earlier lists may have been user-generated, the social media lists of today are more likely to have been produced by the platforms themselves, and are of intrinsic value to the platform providers at least as much as to the users themselves; both Facebook and Twitter have highlighted the importance of their respective “social graphs” (their databases of user connections) as fundamental elements of their fledgling business models. This represents what Mejias describes as “nodocentrism,” which “renders all human interaction in terms of network dynamics (not just any network, but a digital network with a profit-driven infrastructure).”.
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