AIGC在舆情治理和舆论引导中的创新探索、现实挑战及提升策略  

Innovative Exploration,Practical Challenges and Improvement Strategies of AIGC in Public Opinion Governance and Guidance

作　　者：谢耘耕 张秀丽 Yungeng Xie;Xiuli Zhang

机构地区：[1]上海交通大学媒体与传播学院 [2]西安外国语大学新闻与传播学院 [3]西安外国语大学国际舆情与国际传播研究院

出　　处：《新媒体与社会》2024年第1期263-277,400,共16页New Media and Society

基　　金：上海社科规划项目“计算政治对舆论安全的挑战及治理”(项目编号:2022BXW004)。

摘　　要：随着人工智能技术的蓬勃发展,人工智能生成内容(AIGC)在舆情治理与舆论引导领域展现出巨大的潜力和价值。本文基于新闻传播学、公共管理以及计算机科学等多学科视角,系统梳理了AIGC在舆情监测、分析、治理及舆论引导等方面的前沿创新实践。同时,本文深入探讨了AIGC在其实际应用中面临的挑战,并提出了切实可行的应对策略,旨在为相关领域的研究与实践提供有益的启示和参考。With the rapid development of artificial intelligence technology,Artificial Intelligence Generated Content(AIGC)has demonstrated significant potential and value in the field of sentiment governance and public opinion guidance.This article,from the multidisciplinary perspectives of journalism and communication,public administration,and computer science,systematically reviews the cutting-edge innovative practices of AIGC in areas such as sentiment monitoring,analysis,governance,and public opinion guidance.Additionally,this article delves into the challenges faced by AIGC in practical applications and proposes practical coping strategies,aiming to provide useful insights and references for research and practice in related fields.

关 键 词：AIGC 舆情治理 舆论引导 

分 类 号：G206[文化科学—传播学] C912.63[经济管理] TP18[社会学]