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Data collection and storage are crucial in the development of artificial intelligence (AI) within the socially relevant areas. Despite the increasing volume of information, it is often scattered across various sources, formats, and platforms, making effective analysis and application challenging. The lack of a unified framework for data integration further complicates efforts to leverage AI for informed decision-making, policy formulation, and public service optimisation. This article proposes a structured methodo...

This paper presents a multidisciplinary approach to analyzing data from Telegram for early warning information regarding cyber threats. With the proliferation of hacktivist groups utilizing Telegram to disseminate information regarding future cyberattacks or to boast about successful ones, the need for effective data analysis methods is paramount. The primary challenge lies in the vast number of channels and the overwhelming volume of data, necessitating advanced techniques for discerning pertinent risks amidst th...