Mitigating the Influence of Social Bots in Heterogeneous Social Networks

减轻异构社交网络中社交机器人的影响

• 批准号: DP240100181
• 负责人: Prof Xiaojun Chang
• 金额: $ 34.86万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240100181
• 关键词: Mitigating; Influence; Social; Bots; Heterogeneous

This project aims to mitigate the influence of social bots in dynamic and constantly changing social networks. Social bots can spread misinformation, manipulate public opinion, and compromise privacy and security. This project will use advanced algorithms to detect and neutralize the impact of social bots, improving the integrity and accuracy of information on social media. The expected outcomes include the development of a robust system for identifying and mitigating social bot influence, and the reduction of harmful content and misinformation on social media. The benefits of this project include a more trustworthy and secure social media environment, protection of individuals and organizations from malicious activities.

该项目旨在减轻社交机器人在动态和不断变化的社交网络中的影响。社交机器人可以传播错误信息，操纵公众舆论，损害隐私和安全。该项目将使用先进的算法来检测和消除社交机器人的影响，提高社交媒体上信息的完整性和准确性。预期的结果包括开发一个强大的系统来识别和减轻社交机器人的影响，减少社交媒体上的有害内容和错误信息。这个项目的好处包括一个更值得信赖和安全的社交媒体环境，保护个人和组织免受恶意活动的侵害。