We analyse the challenges and changing character, production and consumption of the emerging genre fashion film through a genre as ecology approach. This approach accounts for the complexity of various rhetorical practices used within the creative industries, such as fashion. We find that digital mediation compels genre innovation in networked cultures in the mediation of fashion. We examine th...

Online newspapers, having existed on the Internet for a couple of years, are now having similar form and content, starting to shape what could be called a genre. We have analyzed the news sites of nine Swedish local newspapers using a repertoire of genre elements consisting of navigation elements, landmarks, news streams, headlines, search/archives and advertisements. We have also interviewed 1...

In this paper,we present two experiments that use machine learning for automatically classifying web pages by genre. These experiments highlight the influence that genre annotation and genre granularity can have on the accuracy of the classification. From a practical point of view these experiments show that a collection annotated with the criteria of ‘objective sources’ and consistent genre gr...

This paper gives a brief description on the methods adopted for the task of author-profiling as part of the competition PAN 2016 [1]. Author profiling is the task of predicting the author’s age and gender from his/her writing. In this paper, we follow a two-level ensemble approach to tackle the cross-genre author profiling task where training documents and testing documents are from different g...

Broadcast News (BN) speech recognition transcription has attracted research due to the challenges of the task since the mid 1990’s. More recently, research has been moving towards more spontaneous broadcast data, commonly called Broadcast Conversation (BC) speech. Considering the large style difference between BN and BC genres, specific modeling of genres should intuitively result in improved s...

Research in automatic genre classification has been producing increasingly small performance gains in recent years, with the result that some have suggested that such research should be abandoned in favor of more general similarity research. It has been further argued that genre classification is of limited utility as a goal in itself because of the ambiguities and subjectivity inherent to genr...

In this study we assessed the efficacy of using website genre composition and design structure information for fake website detection. A genre tree kernel was proposed that creates a rooted tree from the website file directory structure, and labels the tree’s file nodes with genre information. The genre tree kernel was compared against several benchmark kernel and non-kernel methods that utiliz...

This thesis focuses on the role of design patterns in the design of the online newspaper genre. The research question put forth here is: How can design patterns be used to improve the online newspaper design process? Genre theory was applied to revile the structure and visual pattern of online newspaper design in an analysis of 85 Swedish online newspapers. Based on the results from the genre a...

A web page is a complex document which can share conventions of several genres, or contain several parts, each belonging to a different genre. To properly address the genre interplay, a recent proposal in automatic web genre identification is multi-label classification. The dominant approach to such classification is to transform one multi-label machine learning problem into several sub-problem...

We argue for a systematic analysis of one particular, well structured domain—academic Web pages—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 ...