| 要約: | With the rapid development and popularization of information technology, cognitive domain operations will be an important form of military occupation and control, striking enemy forces and participating in non war military operations in the future. In order to gain the initiative in the war, enemy forces often use media platforms to publish fake news, attempting to confuse the public’s vision and even mislead public perception, posing a threat to social stability and security. This article proposes a social media fake news detection model in the context of cognitive domain operations, which by utilizing the news itself, user information, and user comment information can be modeled as a Heterogeneous Information Network (HIN), the introduction of hierarchical aggregation technology enables the simultaneous capture of global and local features of data by aggregating HIN at both node and classification levels. The study aims to detect fake news in cognitive domain war and curb the dissemination before it has a negative impact.
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