Detection of Dangerous Events on Social Media: A Perspective Review
This work addresses the challenge of identifying harmful content on social media platforms, which is crucial for public safety, but it appears to be a conceptual review rather than a novel solution.
This paper tackles the problem of detecting dangerous events on social media by introducing a conceptual framework that categorizes them into three types based on characteristics: action, scenarios, and sentiment-based events, but it does not report specific results or numbers.
Social media is an essential gateway of information and communication for people worldwide. The amount of time spent and reliance of people on social media makes it a vital resource for detecting events happening in real life. Thousands of significant events are posted by users every hour in the form of multimedia. Some individuals and groups target the audience to promote their agenda among these users. Their cause can threaten other groups and individuals who do not share the same views or have specific differences. Any group with a definitive cause cannot survive without the support which acts as a catalyst for their agenda. A phenomenon occurs where people are fed information that motivates them to act on their behalf and carry out their agenda. One is benefit results in the loss of the others by putting their lives, assets, physical and emotional health in danger. This paper introduces a concept of dangerous events to approach this problem and their three main types based on their characteristics: action, scenarios, and sentiment-based dangerous events.