Abstract

If the notion of the methodological commons is as centrally located as we believe it to be in any visualization accurately depicting the intellectual structure of the digital humanities and digital literary studies (McCarty 2005, 119), then so, too, must be the community itself whose members provide that which populates the commons. As an interdiscipline, humanities computing has always well-understood its methodologies; indeed, the digital humanities (of which digital literary studies is a part), more generally, have made a virtue of the way in which they render explicit and tangible the theoretical models that govern the representative and analytical endeavour of their fields via computational application. So, too, have those in the field understood and documented its formal structures and institutional manifestations, a chief example being the Text Encoding Initiative itself. Less explicitly rendered and less formally documented–though intuited by its chief practitioners and builders–is the exact nature of the community itself, its depth and breadth, its own centre and, perhaps more important in a field whose embrace of interdisciplinarity is far from self-serving, its periphery and those aspects of which promise to become central. This article presents work carried out in conjunction with the Text Encoding Initiative Consortium, a foundation of many digital literary studies projects, work that seeks to document the full nature of its community, from the institutional and research project groups that comprise the formal consortium at centre to those who appear on the other side of the easily-permeable periphery that separates it from the centre, largely individual practitioners in areas hitherto not closely identified with the digital humanities but clearly sharing methods and tools, thus suggesting their place in the same communities of practice, as they are members of the same methodological commons. This methodological approach is drawn from marketing and organizational behavior, manifest in social networking, in the study of viral marketing campaigns conducted in online environments. The method for this work was centred around a viral marketing experiment designed to showcase the TEI and novel ways that it can be used to encode different kinds of text. At the heart of the experiment was a Bob Dylan song and its associated video which incorporated text; encoded text was overlaid and the video was posted to YouTube and a blog with links to the TEI website with analysis of traffic patterns carried out.

Highlights

  • User community with sustained involvement in the future development and widespread use of the TEI Guidelines” (Text Encoding Initiative 2010)

  • In order to gauge the interest in the video, the interest in the TEI Consortium (TEI-C) that was inspired by the video and the discussion about the video by interested individuals, Google Analytics was used to track traffic to the TEI-C website and understand website users and habits

  • 18 After subtracting the 82 member institutions from the list of visiting institutions during the benchmark period, the results showed 5972 non-TEI-member visitors

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Summary

Creation and Launch of Viral Marketing Widget

10 Given the need to be an entertaining and interesting application of TEI, a video widget was determined to be the best medium. Cara Leitch (song transcription), Dorothy Porter (transcription encoding), Liam Sherriff (video creation), and Karin Armstrong (website creation, video posting) combined their various skills and knowledge to create the video None of these people is a marketing professional; they are graduate students and academics in the field of digital humanities. In order to gauge the interest in the video, the interest in the TEI-C that was inspired by the video and the discussion about the video by interested individuals, Google Analytics was used to track traffic to the TEI-C website and understand website users and habits Further analysis of this data would provide insight into the TEI community of practice and identify previously unknown members of the community as well as potential new members. The goals of the experiment, as briefly described above, were to attract new visitors to the TEI-C website, to increase awareness of the TEI itself (and to distinguish it from the Korean pop singer of the same name), and to understand and unify this community

Collection of Benchmark and Experiment Data
Discussion of Findings
Visitor Demographics
Website Traffic Analysis
Findings
Blogs and Comments from the Larger Community of Practice and Beyond
Conclusions and Recommendations
Full Text
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