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Blogs as Infrastructure for Scholarly Communication.

dc.contributor.authorBurton, Matten_US
dc.date.accessioned2015-05-14T16:27:42Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2015-05-14T16:27:42Z
dc.date.issued2015en_US
dc.date.submitted2015en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/111592
dc.description.abstractThis project systematically analyzes digital humanities blogs as an infrastructure for scholarly communication. This exploratory research maps the discourses of a scholarly community to understand the infrastructural dynamics of blogs and the Open Web. The text contents of 106,804 individual blog posts from a corpus of 396 blogs were analyzed using a mix of computational and qualitative methods. Analysis uses an experimental methodology (trace ethnography) combined with unsupervised machine learning (topic modeling), to perform an interpretive analysis at scale. Methodological findings show topic modeling can be integrated with qualitative and interpretive analysis. Special attention must be paid to data fitness, or the shape and re-shaping practices involved with preparing data for machine learning algorithms. Quantitative analysis of computationally generated topics indicates that while the community writes about diverse subject matter, individual scholars focus their attention on only a couple of topics. Four categories of informal scholarly communication emerged from the qualitative analysis: quasi-academic, para-academic, meta-academic, and extra-academic. The quasi and para-academic categories represent discourse with scholarly value within the digital humanities community, but do not necessarily have an obvious path into formal publication and preservation. A conceptual model, the (in)visible college, is introduced for situating scholarly communication on blogs and the Open Web. An (in)visible college is a kind of scholarly communication that is informal, yet visible at scale. This combination of factors opens up a new space for the study of scholarly communities and communication. While (in)invisible colleges are programmatically observable, care must be taken with any effort to count and measure knowledge work in these spaces. This is the first systematic, data driven analysis of the digital humanities and lays the groundwork for subsequent social studies of digital humanities.en_US
dc.language.isoen_USen_US
dc.subjectdigital humanitiesen_US
dc.titleBlogs as Infrastructure for Scholarly Communication.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineInformationen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberConway, Paul L.en_US
dc.contributor.committeememberAnkerson, Megan Sapnaren_US
dc.contributor.committeememberLagoze, Carlen_US
dc.contributor.committeememberMei, Qiaozhuen_US
dc.contributor.committeememberBonn, Maria Stellaen_US
dc.subject.hlbsecondlevelInformation and Library Scienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/111592/1/mcburton_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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