The Public's Reliance on Digital Platforms Supported by Artificial Intelligence Technologies as a Source of Information about Natural Disasters

Abstract            The Study aimed to identify the rate of public dependence on digital platforms supported by artificial intelligence technologies as a source of information about natural disasters. It used the descriptive approach in the style of a sample survey as a tool for collecting data. The sample consisted of  (500) individuals from Egyptian and Jordanian citizens following the Moroccan earthquake disaster. The results reached: There is a statistically significant correlation between the rate of public reliance on digital news platforms supported by artificial intelligence technologies and the follow-up of the "Morocco Earthquake" disaster. This indicates that the greater the reliance on digital news platforms supported by technologies, the greater the follow-up to the "Morocco Earthquake" disaster; in addition, there are statistically significant differences between the forms of interaction of sample members with topics related to the damage resulting from the "Morocco Earthquake" disaster via digital platforms supported by artificial intelligence technologies according to the geographical distribution variable, and in the direction of the Egyptian audience, which indicates: the influence of news content on the importance of audience interaction with the news—transforming a receiver into a sender and sharer of information on his page.   Keywords: digital platforms, artificial intelligence, natural disasters.