Abstract
The study of plagiarism and its detection is a highly popular field of research that has witnessed increased attention over recent years. In this paper we describe the range of problems that exist within academe in the area of ‘unfair means’, which encompasses a wider range of issues of attribution, ownership and originality. Unfair means offers a variety of problems that may benefit from the development of computational methods, thereby requiring appropriate evaluation resources. This may provide further areas of focus for large-scale evaluation activities, such as PAN, and researchers in the field more generally.
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Clough, P., Willett, P., Lim, J. (2015). Unfair Means: Use Cases Beyond Plagiarism. In: Mothe, J., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2015. Lecture Notes in Computer Science(), vol 9283. Springer, Cham. https://doi.org/10.1007/978-3-319-24027-5_21
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DOI: https://doi.org/10.1007/978-3-319-24027-5_21
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