Blockchain-Based Event Detection and Trust Verification Using Natural Language Processing and Machine Learning

Information Science

Information sharing is one of the huge topics in social media platform regarding the daily news related to events or disasters happens in nature or its human-made. The automatic urgent need identification and sharing posts and information delivery with a short response are essential tasks in this area. The key goal of this research is developing a solution for management of disasters and emergency response using social media platforms as a core component. This process focuses on text analysis techniques to improve the process of authorities in terms of emergency response and filter the information using the automatically gathered information to support the relief efforts. Specifically, we used state-of-art Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) based on supervised and unsupervised learning using social media datasets to extract real-time content related to the emergency events to comfort the fast response in a critical situation. Similarly, the blockchain framework used in this process for trust verification of the detected events and eliminating the single authority on the system. The main reason of using the integrated system is to improve the system security and transparency to avoid sharing the wrong information related to an event in social media. The use of social networking and information sharing in an emergency type of events and dangerous disasters is the research challenge for event detection and tracking it in the early stage. Recently, the extensive connection and increase of social media platforms give the opportunity for the management of crises based on crowd-sourcing. One of the famous tools of crowd-sourcing is Ushahidi, which visualize the reports of crowd-sourced it’s a perfect example for improving the awareness of various social networks. There are various ways to share information in recent developments, national security agencies, media outlets, civil defense, etc. The social media potentiality caught the attention through the crisis for higher management quality

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