情报杂志2025，Vol.44Issue(6)：149-157,137,10.DOI:10.3969/j.issn.1002-1965.2025.06.019
基于人工智能生成内容的舆论风险感知与驱动机制研究
Research on the Perception and Driving Mechanism of Public Opinion Risk Based on Artificial Intelligence Generated Content
摘要
Abstract
[Research purpose]In the era of digital intelligence,this article explores the public's focus and emotional tendencies towards AIGC.It helps to guide the policy direction of AIGC governance correctly,create a clear network environment,and enhance the effective-ness of social governance.[Research method]This article combines text mining analysis and fsQCA method.It extracts the TOS theme framework through text mining analysis.It uses the fsQCA method to explore the causal driving relationship between AIGC public opinion themes and emotional risk.This article takes computing power support,model training,enterprise applications,industry prospects,govern-ment regulation,intelligent finance,education services,and chat conversations as conditional variables,and emotional intensity as the out-come variable.It analyzes the complex impact mechanisms of technical,organizational,and situational factors on emotional risk.[Research result/conclusion]This study found that there are 8 AIGC public opinion areas of public concern.The public has a relatively positive attitude towards the development of AIGC in both technical and organizational dimensions,while their attitude towards the scene dimension shows a weaker positive emotion.This article obtained 6 positive emotion driving paths and 4 negative emotion driving paths.It further refines and summarizes two positive emotion driving modes(organizational linkage integration mode and scenario application driven mode)and two nega-tive emotion driving modes(educational scenario optimization mode and organizational management empowerment mode).Finally,this article proposes the development trends of AIGC technology and policy suggestions for public opinion guidance.关键词
AIGC/舆论风险感知/情感分析/驱动机制/文本挖掘/模糊集定性比较分析Key words
artificial intelligence generated content/public opinion risk perception/emotion analysis/driving mechanism/text mining/fsQCA分类
计算机与自动化引用本文复制引用
杨洋洋..基于人工智能生成内容的舆论风险感知与驱动机制研究[J].情报杂志,2025,44(6):149-157,137,10.基金项目
国家社会科学基金青年项目"基于人工智能生成内容的深度伪造事件舆情信息风险感知与场景治理研究"(编号:24CTQ042)研究成果. （编号:24CTQ042）
