Panagiotis Soustas

ki22640@bristol.ac.uk	Year 2 Student – 2022 Intake – Cohort 4 My background is in Computational Linguistics a sub field of Linguistics and Natural Language Processing, which combines Machine Learning and Computational Linguistics, that can have various applications in cross domain research. Linguistic classifiers and their applications are my main research interest. Looking from the scope of Cybersecurity data gathered from criminal communities that reflect on motivations, methods, tactics and potential targets if processed by a linguistic aspect could be used to detect and classify threats and illegal activities.
PhD Project	Linguistic Anomaly Detection This thesis focuses on the role of linguistic abnormalities as an identifier of malicious or misplaced online content, focusing specifically on the pervasive issue known as Elsagate. This phenomenon, witnessed on popular online video-sharing platforms, such as YouTube, entails the presence of inappropriate or disturbing content within ostensibly harmless children's videos. There are early indications that the pattern of commentary around these videos may be distinctive. To produce a new, widely-applicable mechanism for the detection of inappropriate online content, this study not only endeavours to provide comprehensive insights into the linguistic intricacies of Elsagate-related content but to pioneer a methodology for detecting linguistic anomalies more generally. The primary objective of this research is thus twofold: to develop and rigorously evaluate a scalable approach for detecting linguistic anomalies at scale and to investigate the adaptability and generalisation strength of this approach. Supervisors: Dr Matthew Edwards (Bristol) Dr Claudia Peersman (Bristol)
PhD Poster	View poster here
Year 1 Academic and Industry Placements	Industrial Placement: Data-driven investigations / Dutch High Tech Crime Unit Academic Placement: Natural Language Processing Methods for Protecting Children Online / Claudia Peersman
Personal Research Websites	https://github.com/PanosSts26
Social Media	https://www.linkedin.com/in/panagiotis-soustas/ https://twitter.com/panos_sts