Abstract
Bullying through the internet has been investigated and analyzed mainly in the field of social media. In this paper, it is attempted to analyze bullying in the Virtual Learning Communities using Natural Language Processing (NLP) techniques, mainly in the context of sociocultural learning theories. Therefore four case studies took place. We aim to apply NLP techniques to speech analysis on communication data of online communities. Emphasis is given on qualitative data, taking into account the subjectivity of the collaborative activity. Finally, this is the first time such type of analysis is attempted on Greek data.
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Nikiforos, S., Tzanavaris, S., Kermanidis, K.L. (2017). Bullying in Virtual Learning Communities. In: Vlamos, P. (eds) GeNeDis 2016 . Advances in Experimental Medicine and Biology, vol 989. Springer, Cham. https://doi.org/10.1007/978-3-319-57348-9_18
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