@book {1342,
	title = {Genre Theory in Information Studies},
	year = {2015},
	publisher = {Emerald Group Publishing Ltd.},
	organization = {Emerald Group Publishing Ltd.},
	address = {Bingley, UK},
	abstract = {<p>Studies in Information publishes monographs on critical issues in the information society. The book series is concerned with all aspects of information; its nature, politics, institutions, usages, and technologies, and it presents research from a wide range of disciplinary traditions. Previously published as Library and Information Science, it is a fully peer-reviewed and high impact outlet for research in the field of information. This new volume, edited by Jack Andersen, is the first to be published under the new series name Studies in Information. The book highlights the important role genre theory plays within information studies. It illustrates how modern genre studies inform and enrich the study of information, and conversely how the study of information makes its own independent contributions to the study of genre. Various original contributions scrutinize core aspects of information and knowledge organization, such as information systems and distributed authorship; personal information management; and records management in organizations, all through the lens of genre.</p>
},
	keywords = {information science},
	url = {http://books.emeraldinsight.com/contact.asp?CUR=GBP},
	author = {Jack Andersen}
}
@article {679,
	title = {The Evolution of Genre in Wikipedia},
	journal = {Journal for Language Technology and Computational Linguistics},
	volume = {24},
	year = {2009},
	note = {+ pdf+ j pdf
},
	month = {2009},
	pages = {1{\textendash}22},
	abstract = {<p>This paper presents an overview of the ways in which genres, or structuralforms, develop in a community of practice, in this case, Wikipedia. Firstly, we collected data by performing a small search task in the Wikipedia search engine (powered by Lucene) to locate articles related to global car manufacturers, for example, British Leyland, Ferrari and General Motors. We also searched for typical biographical articles about notable people, such as Spike Milligan, Alex Ferguson, Nelson Mandela and Karl Marx. An examination of the data thus obtained revealed that these articles have particular forms and that some genres connect to each other and evolve, merge and overlap. We then looked at the ways in which the purpose and form of a biographical article have evolved over six years within this community. We concluded the work with a discussion on the usefulness of Wikipedia as a vehicle for such genre investigations. This small analysis has allowed us to start generating a number of detailed research questions as to how forms may act as descriptors of genre and to discuss plans for experimental work aimed at answering these questions.</p>
},
	keywords = {digital, evolution, genre, information science, wikipedia},
	author = {Clark, Malcolm and Ruthven, Ian and Holt, Patrik O{\textquoteright}Brian}
}
@conference {821,
	title = {Automatic Detection of Text Genre},
	booktitle = {Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of teh European Association for Computational Linguistics},
	year = {1997},
	note = {+ pdf},
	month = {1997},
	pages = {32{\textendash}38},
	address = {Madrid},
	keywords = {Biber, information science, linguistics, text genre},
	url = {http://xxx.lanl.gov/abs/cmp-lg/9707002},
	author = {Kessler, Brett and Nunberg, Geoffrey and Schuetze, Hinrich}
}
@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}
}
@conference {932,
	title = {Characterizing Genres of Web Pages: Genre Hybridism and Individualization},
	booktitle = {40th Hawaii International Conference on System Sciences},
	year = {2007},
	month = {2007},
	pages = {71{\textendash}81},
	keywords = {genre, hybrid, information science},
	author = {Santini, Marina}
}
