A novel approach for comparing web sites by using MicroGenres

Kudělka, Miloš; Snášel, Václav; Horák, Zdeněk; Hassanien, Aboul Ella; Abraham, Ajith; Velásquez, Juan D.

doi:10.1016/j.engappai.2014.06.011

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…Finally, we also offer DOCODE Lite, a free service where users can analyze a single document by comparing its content with different Web sources [21]. This special service is offered via the Web and can be accessed by any user upon registration.…”

Section: Docode Litementioning

confidence: 99%

DOCODE 3.0 (DOcument COpy DEtector): A system for plagiarism detection by applying an information fusion process from multiple documental data sources

et al. 2016

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a b s t r a c tPlagiarism refers to the act of presenting external words, thoughts, or ideas as one's own, without providing references to the sources from which they were taken. The exponential growth of different digital document sources available on the Web has facilitated the spread of this practice, making the accurate detection of it a crucial task for educational institutions. In this article, we present DOCODE 3.0, a Web system for educational institutions that performs automatic analysis of large quantities of digital documents in relation to their degree of originality. Since plagiarism is a complex problem, frequently tackled at different levels, our system applies algorithms in order to perform an information fusion process from multi data source to all these levels. These algorithms have been successfully tested in the scientific community in solving tasks like the identification of plagiarized passages and the retrieval of source candidates from the Web, among other multi data sources as digital libraries, and have proven to be very effective. We integrate these algorithms into a multi-tier, robust and scalable JEE architecture, allowing many different types of clients with different requirements to consume our services. For users, DOCODE produces a number of visualizations and reports from the different outputs to let teachers and professors gain insights on the originality of the documents they review, allowing them to discover, understand and handle possible plagiarism cases and making it easier and much faster to analyze a vast number of documents. Our experience here is so far focused on the Chilean situation and the Spanish language, offering solutions to Chilean educational institutions in any of their preferred Virtual Learning Environments. However, DOCODE can easily be adapted to increase language coverage.

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Section: Docode Litementioning

confidence: 99%

DOCODE 3.0 (DOcument COpy DEtector): A system for plagiarism detection by applying an information fusion process from multiple documental data sources

et al. 2016

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“…'Satisfying' videos further reaccentuate the concept of micro genres (Rehak 2007;Kudelka 2014) because, in contrast to previously studied examples like bullet time action films (Rehak 2007) or special-interest websites (Kudelka 2014), they are comparatively numerous. Moreover, as applied in this chapter, the notion of micro genre both refers to formal properties of the content but also to genres of communication (Crowston and Williams 2000).…”

Section: Situating 'Satisfying' Videos In Contemporary Visual Culturementioning

confidence: 99%

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Werning¹

2019

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Este artigo investiga como os vídeos 'de satisfação' no YouTube formaram um microgênero e estabeleceram uma nova visualidade com base na correção da tatilidade (assim como em outras experiências sensoriais) por meio de características visuais massivamente redundantes e lógica de mídia social. Para mapear esse microgênero, o artigo descreve uma nova técnica enraizada na análise cultural, especificamente a abordagem usada por (Hochman e Manovich 2013) para estudar o imaginário visual de centros urbanos. Embora esses estudos anteriores se concentrem na ordem cronológica das imagens em um filme (de longa metragem), essa nova abordagem permite visualizar o surgimento de um 'vocabulário' visual de 'satisfação' em vídeos ao longo do tempo.

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