Disruptive technologies (DTs) aim to introduce innovative elements with the immediate goal of changing citizens' behavior and the optimization of certain processes in either the private or public sector. The sector, especially "e-governance" has adopted several DT-based systems and is open to exploring new technologies that could be potentially useful for the sector's administration. This paper proposes a DT-based framework for the early detection of misinformation, the identification and prioritization of emerging and significant issues that refer to the municipality, and the recommendation of counter-actions that could be applied for each identified issue. The proposed framework aims to be applied initially at the municipal level as this is a more limited community for the framework's study and evaluation. News feeds and information posted on social media platforms will be the key information included in the proposed framework, aiming at sensing the public opinion and extracting issues and topics that concern a municipality's citizens. Through social media platforms, users tend to post, among other, concerns or issues they face within the local community, and thus useful content can be extracted and used for the identification of emerging and significant issues. The main advantage of this framework is the utilization of information from different data sources and their processing in order to immediately inform the relevant authority about the most important issues, allowing them to act in a proactive way. The expected outcome of the proposed framework is to raise the citizens' awareness of the issues of the local society and restrict criminality and violence in the municipality.