2022
DOI: 10.21203/rs.3.rs-1185415/v1
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Detection of Radicalisation and Extremism Online: A Survey

Abstract: Introduction: Due to the lack of regulation, the large volume of user-generated online content reflects more closely the offline world than official news sources. Therefore, social media platforms have become an attractive space for anyone seeking independent information. One of the main goals of this work is to clarify concepts such as Extremism and Collective Radicalisation, Social Media, Sentiments/Emotions/Opinions Analysis, as well as the combinations of all of them. Methods: The automatic identification … Show more

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“…The complexity and often computationally heavy task of extracting meaning from images is one main reason for the gap between the necessity of researching radical visuals and lacking quantitative and largescale studies (Tanoli et al, 2022). Supervised approaches with pre-trained and classified images and videos need thousands if not millions of training data for a neural network to be self-learning and reliably performing (Lin et al, 2011).…”
Section: Analyzing (Radical) Visuals In Political Communicationmentioning
confidence: 99%
“…The complexity and often computationally heavy task of extracting meaning from images is one main reason for the gap between the necessity of researching radical visuals and lacking quantitative and largescale studies (Tanoli et al, 2022). Supervised approaches with pre-trained and classified images and videos need thousands if not millions of training data for a neural network to be self-learning and reliably performing (Lin et al, 2011).…”
Section: Analyzing (Radical) Visuals In Political Communicationmentioning
confidence: 99%