Search

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.

Copyright of Ankara Üniversitesi Dil ve Tarih-Cografya Fakültesi Dergisi DTCF Dergisi is the property of Ankara Universitesi Dil ve Tarih-Cografya Fakultesi (DTCF Dergisi) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The current study examined the characteristics of targets of bullying using a sample of students from two distinct school types (key vs. non-key), wherein key middle schools are defined as having better teaching resources and higher performing students than non-key middle schools. Open-ended, self-report surveys were collected from 322 Chinese students in sixth to 11th grades. Two cycle coding methods analyses generated 3,566 original codes in which 21 main categories and 77 subcategories were extracted. Five major themes emerged: multiple deviant personalities; prominent puniness and imperfect body characteristics accompanied by polarization of appearance; polarization school engagement and academic performance; psychological and behavioral problems; and problematic family and social contexts. Results of chi-square analysis indicated characteristics of targets of bullying were significantly different between key and non-key school in 12 main categories. Implications for ecological systems theory and person-group dissimilarity theory as well as bullying prevention approaches in schools are discussed. [ABSTRACT FROM AUTHOR]