@booklet {675,
	title = {Personal Home Pages and the Construction of Identities on the Web},
	volume = {2004},
	year = {1998},
	note = {+ htmloriginally prepared for  a conference on Linking Theory and Practice: Issues in the Politics of Identity, University of Wales, Aberystwyth, 9{\textendash}11 September 1998
},
	month = {1998},
	publisher = {University of Wales, Aberystwyth},
	keywords = {genre, home page, identity, private, public, web},
	url = {http://www.aber.ac.uk/media/Documents/short/webident.html},
	author = {Chandler, Daniel}
}
@article {699,
	title = {Reproduced and Emergent Genres of Communication on the World Wide Web},
	journal = {The Information Society},
	volume = {16},
	year = {2000},
	note = {+ pdf rhet+ pdf 702 (HICSS version 97)
},
	month = {2000},
	pages = {201{\textendash}215},
	keywords = {genre, medium, novel, Orlikowski, structuration, web, Yates},
	author = {Crowston, Kevin and Williams, Marie}
}
@article {739,
	title = {The Role of Site Features, User Attributes, and Information Verification Behaviors on the Perceived Credibility of Web-Based Information},
	journal = {New Media \& Society},
	volume = {9},
	year = {2007},
	note = {+ pdf},
	month = {2007},
	pages = {319{\textendash}342},
	abstract = {Data from 574 participants were used to assess perceptions ofmessage, site, and sponsor credibility across four genres of websites;
to explore the extent and effects of verifying web-based
information; and to measure the relative influence of sponsor
familiarity and site attributes on perceived credibility.The results
show that perceptions of credibility differed, such that news
organization websites were rated highest and personal websites
lowest, in terms of message, sponsor, and overall site credibility,
with e-commerce and special interest sites rated between these,
for the most part.The results also indicated that credibility
assessments appear to be primarily due to website attributes
(e.g. design features, depth of content, site complexity) rather than
to familiarity with website sponsors. Finally, there was a negative
relationship between self-reported and observed information
verification behavior and a positive relationship between
self-reported verification and internet/web experience.
The findings are used to inform the theoretical development of
perceived web credibility.
},
	keywords = {credibility, genre, internet, media, web},
	author = {Flanagin, Andrew J. and Metzger, Miriam J.}
}
@article {775,
	title = {Writing for the Web Versus Writing for Print: Are They Really So Different?},
	journal = {Technical Communication},
	volume = {51},
	year = {2004},
	note = {+ pdf rhet},
	month = {2004},
	pages = {276{\textendash}285},
	keywords = {genre, medium, Neilsen, online, print, web},
	author = {Gregory, Judy}
}
@booklet {793,
	title = {Genre Across the Curriculum},
	year = {2005},
	note = {+},
	month = {2005},
	publisher = {Utah State University Press},
	address = {Logan, UT},
	keywords = {Anson, composition, Dannels, genre, Palmquist, pedagogy, WAC, web, writing},
	isbn = {0-87421-600-1},
	author = {Herrington, Anne and Moran, Charles}
}
@article {833,
	title = {Identifying Document Genre to Improve Web Search Effectiveness},
	journal = {Bulletin of the American Society for Information Science and Technology},
	volume = {27},
	year = {2001},
	note = {+ pdf rhet},
	month = {2001},
	pages = {http://www.asis.org/Bulletin/Dec-01/kwasnikartic.html},
	keywords = {automated, digital, form, genre, search, web},
	url = {http://www.asis.org/Bulletin/Dec-01/kwasnikartic.html},
	author = {Kwasnik, Barbara H. and Crowston, Kevin and Nilan, Michael and Roussinov, Dmitri}
}
@article {841,
	title = {Cost-Sensitive Feature Extraction and Selection in Genre Classification},
	journal = {Journal for Language Technology and Computational Linguistics},
	volume = {24},
	year = {2009},
	note = {+ pdf+ j pdf
},
	month = {2009},
	pages = {57{\textendash}72},
	abstract = {Automatic genre classification of Web pages is currently young comparedto other Web classification tasks. Corpora are just starting to be collected
and organized in a systematic way, feature extraction techniques are incon
sistent and not well detailed, genres are constantly in dispute, and novel
applications have not been implemented. This paper attempts to review
and make progress in the area of feature extraction, an area that we believe
can benefit all Web page classification, and genre classification in particular.
We first present a framework for the extraction of various Web-specific
feature groups from distinct data models based on a tree of potentials
models and the transformations that create them. Then we introduce the
concept of cost-sensitivity to this tree and provide an algorithm for per
forming wrapper-based feature selection on this tree. Finally, we apply the
cost-sensitive feature selection algorithm on two genre corpora and analyze
the performance of the classification results.
},
	keywords = {automation, classificaiton, digital, genre, information science, web},
	author = {Levering, Ryan and Cutler, Michal}
}
@article {886,
	title = {Classifying Web Genres in Context: A Case Study Documenting the Web Genres Used by a Software Engineer},
	journal = {Information Processing and Management},
	volume = {44},
	year = {2008},
	note = {+ pdfrecommended by Mark Rosso
},
	month = {2008},
	pages = {1410{\textendash}1430},
	abstract = {This case study analyzes the Internet-based resources that a software engineer uses in his daily work. Methodologically,we studied the web browser history of the participant, classifying all the web pages he had seen over a period of 12 days
into web genres. We interviewed him before and after the analysis of the web browser history. In the first interview, he
spoke about his general information behavior; in the second, he commented on each web genre, explaining why and
how he used them. As a result, three approaches allow us to describe the set of 23 web genres obtained: (a) the purposes
they serve for the participant; (b) the role they play in the various work and search phases; (c) and the way they are used in
combination with each other. Further observations concern the way the participant assesses quality of web-based
resources, and his information behavior as a software engineer.
},
	keywords = {access, genre, information science, internet, professional, purpose, user, web},
	author = {Montesi, Michela and Navarrete, Trilce}
}
@inbook {892,
	title = {Genres from the Bottom Up: What Has the Web Brought Us},
	booktitle = {Information in a Networked World: Proceedings of the 64th Annual Meeting of the American Society for Information Science and Technology},
	volume = {38},
	year = {2001},
	note = {+ genre information science},
	month = {2001},
	pages = {330{\textendash}339},
	publisher = {Information Today, Inc.},
	organization = {Information Today, Inc.},
	address = {Medford, NJ},
	keywords = {automated genre recognition, classification, genre, internet, user behavior, web},
	author = {Nilan, Michael and Pomerantz, Jeffrey and Paling, Stephen},
	editor = {Aversa, Elizabeth and Manley, Cynthia}
}
@conference {913,
	title = {Towards Automatic Web Genre Identification},
	booktitle = {35th Annual Hawaii International Conference on System Sciences},
	year = {2002},
	note = {+ pdf},
	month = {2002},
	pages = {1143{\textendash}1152},
	abstract = {We argue for a systematic analysis of one particular, well structureddomain{\textemdash}academic Web pages{\textemdash}with regard to a special class of digital
genres: Web genres. For this purpose, we have developed a database-driven
system that will ultimately consist of more than 3 000 000 HTML documents,
written in German, which are the empirical basis for our research.
We introduce the notions of Web genre type which constitutes the basic
framework for a certain Web genre, and compulsory and optional Web
genre modules. These act as building blocks which go together to make up
the structure characterised by theWeb genre type and furthermore, operate
as modifiers for the default <content, form, function> assignment involved.
The analysis of a 200 document sample illustrates our notion of Web genre
hierarchy, into which Web genre types and modules are embedded. The
analysis of four different documents of theWeb genre Academic{\textquoteright}s Personal
Homepage, not only illustrates our approach, but also our long-term goal
of automatically extracting the contents of Web genre modules in order
to build up structured XML documents of groups of unstructured HTML
documents.
},
	keywords = {automatic detection, classification, corpus, genre, personal  homepage, web},
	author = {Rehm, Georg}
}
