Natural Language Processing and Semantics for Cybersecurity : challenges and approaches to dal with social network data - Nathalie Aussenac-Gilles
In this talk, I will first rewiew some of the challenges raised by cybersecurity that requires natural language processing or document processing. In a second part of the talk, I will go into more details about the case of data and text coming from social networks.I will present state of the art techniques that deal with some of the main tasks related to this kind of data: authorship identification, fake news recognition, personnal network identification, etc. I will also mention the difficulty to deal with such data in keeping with ethics and current regulations about personal data and AI.
In this presentation, we will take a step aside to focus on the Social Science and Humanities aspect of the analysis of online malicious behavior. First, we will look at the problem of hate speech on social networks, focusing on two forms of its expression. Firstly, the use of automatic generation tools (AI tools), which make it increasingly easy to create content to reach and destabilize a large audience. Secondly, the challenges and difficulties of moderating such speech on the social media, especially in regard of the increasingly sophisticated concealment strategies, which are embedded in the cultural codes of these social media. We will finally ask whether it is possible to create effective automatic moderation tools, given our observations.
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