社交机器人驱动的信息迷雾:传播机理、社会风险与治理路径  

Disinformation Driven by Social Bots:Dissemination Mechanisms,Social Risks,and Governance Paths

作　　者：王晰巍[1,2,3] 吴彦婷 李玥琪 Wang Xiwei;Wu Yanting;Li Yueqi(School of Business and Management,Jilin University,Jilin Changchun 130015;Research Centre for Big Data Management,Jilin University,Jilin Changchun 130015;Research Centre for Cyberspace Governance,Jilin University,Jilin Changchun 130015;Institute of National Development and Security Studies,Jilin University,Jilin Changchun 130015)

机构地区：[1]吉林大学商学与管理学院,吉林长春130015 [2]吉林大学大数据管理研究中心,吉林长春130015 [3]吉林大学网络空间治理研究中心,吉林长春130015 [4]吉林大学国家发展与安全研究院,吉林长春130015

出　　处：《情报理论与实践》2025年第3期41-51,共11页Information Studies:Theory & Application

基　　金：教育部人文社会科学研究一般项目“信息生态视角下人工智能生成内容人机交互风险及治理路径研究”的成果,项目编号:24YJA870012。

摘　　要：[目的/意义]随着人工智能生成内容技术的发展,社交机器人能够更加智能地模仿人类行为,从而增加信息验证的难度,成为信息迷雾的重要传播媒介,对国家网络空间安全造成新的风险和重要影响,成为当前全球关注的重要科学研究和社会现实议题。[方法/过程]引入信息生态理论,分析恶性社交机器人驱动信息迷雾的传播机理并构建机理模型。基于信息生态四因子,分析恶性社交机器人驱动信息迷雾引发的舆论操纵和群体极化风险、虚假信息和隐私泄露风险、算法黑箱和深度伪造风险以及信息失序和多重社会风险。[结果/结论]针对恶性社交机器人驱动信息迷雾,基于信息主体协同、信息内容治理、信息技术应用和信息环境营造4个方面,提出其治理路径。研究结果为理解恶性社交机器人驱动信息迷雾研究提供了理论框架和新的研究视角,有助于政府和社交媒体平台更好地针对恶性社交机器人进行算法治理,提升公众算法素养,推动跨学科协同研究。[Purpose/significance]With the development of AI-generated content technology,social bots are able to imitate human behaviours more intelligently,thus increasing the difficulty of information verification,becoming an important propagation medium for disinformation,and creating new risks and important impacts on the national cyberspace security,which has become an important scientific research and social reality issue of global concern at present.[Method/process]This paper introduces the information ecology theory to analyses the dissemination mechanism of the disinformation driven by malicious social bots and construct a mechanism model.Based on the four factors of information ecology,we analyses the risks triggered by the disinformation driven by malicious social bots,including the risks of public opinion manipulation and group polarization,false information and privacy leakage,algorithmic black boxes and deepfake,as well as information disorder and multiple social risks.[Result/conclusion]It proposes a governance path for the disinformation driven by malicious social bots based on four aspects:information subject synergy,information content governance,information technology application and information environment creation.This paper provides a theoretical framework and new research perspectives for understanding the study of the disinformation driven by malicious social bots.It can help the government and social media platforms improve their algorithmic governance against malicious social bots,improve public algorithmic literacy,and promote interdisciplinary collaborative research.

关 键 词：信息迷雾 恶性社交机器人 传播机理 社会风险 治理路径 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置] G250.7[自动化与计算机技术—控制科学与工程]