Year-end Sale % OFF 
Abstract
In the age of information explosion, it is easy for people to receive many messages, and it is difficult to verify the authenticity of each message. Therefore, people often quickly and forward the acquired information and share anonymous information, rather than absorbing it after verification. The study questions current Artificial Intelligence (AI) detection methods, arguing that a simple dichotomy cannot distinguish between true and false information. This study proposes a mixed method to analyze events based on the dissemination and interaction of false information in online enterprise communities from the perspective of an observer. The event explores multiple features based on various characteristics, such as motivation, purpose, intention, and behavior. Experimental results show that the proposed method can effectively identify false information with high risk. Additionally, this study discusses the effectiveness and response strategies of the enterprise cyber warrior based on the mixed multi-layer analysis. This study provides a preliminary study of mixed cognitive warfare identification and immediate response behavior for corporate Internet rumors.
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
