In this paper we argue that a combination of Actor-Network Theory (ANT) and Genre Theory can constitute a theoretical framework for understanding how digital genres evolve. Genre theory states that genres evolve over time through reciprocal interaction between institutionalized practices and individual action; that they develop from actors’ responses to recurrent situations, and are shaped ar...

Abstract We explore a simple, web-based method for predicting the genre of a given artist based on co-occurrence analysis, i.e. analyzing co-occurrences of artist and genre names on music-related web pages. To this end, we use the page counts provided by Google to estimate the relatedness of an arbitrary artist to each of a set of genres. We investigate four different query schemes for obtainin...

Text information, which plays important role in news video concept detection, has been ignored in state-of-the-art movie analysis technology. It is so because movie subtitles are speech of roles which do not directly describe content of movie and contributes little to movie analysis. In this paper, we import collaborative-editing synopsis from professional movie sites for movie analysis, which ...

This study examined the effects of humorous movie clips on better learning of English language vocabulary. Humor is an important human behavior that plays a vital role in communication and social interactions. This subject has been rarely investigated in Iranian English classes. The researchers used quantitative method. Because all of variables were not controllable, therefore quasi-experimenta...

Under the influence of a new medium, a genre may evolve into variants of the original genre or even into new genre. Genre, even through such evolution, are normally characterized by the tuple, , and little attention is paid to the functionality afforded by the new medium. The combination of the computer and the Internet, however, has resulted in the emergence of cybergenre, a new...

Music, as one of the essential elements in the filmmaking process, plays an important role in the success of a movie. Although prior studies have investigated several factors which influence movie revenue, there’s a lack of research examining the effect of search volume of movie soundtrack on the movie revenue. Therefore, we proposed the following research questions: (1) Is search volume of a m...

In the ESP tradition, genre is often defined as “structured communicative events engaged in by specific discourse communities whose members share broad communicative purposes.” ESP genre research has generated numerous descriptions and explanations of discipline-specific genre exemplars and has produced various pedagogical proposals. However, what learners learn from these genre descriptions an...

We investigate the uses and limitations of MFCC analysis for feature extraction from music files in the domain of genre recognition. Intra-genre and Inter-genre classification is explored. We implement a method of genre classification based on MFCC extraction, K-means clustering, and KNN analysis. We demonstrate the efficacy of our method through testing, yielding a 99% accuracy rate.