摘要
从信息生态系统理论的视角出发,本文分析了人工智能与社交网络叠加生成当下信息高风险环境的内在原因,并指出,面对这种情况,新闻业不能仅考虑“应用人工智能”的新闻创新,更应采取“面向人工智能”的新闻创新,因为前者追求的只是在现有框架下提升新闻业效率,而后者才是对新闻业在当下信息生态系统中存在意义的重新锚定。本文讨论了四种“面向人工智能”的新闻创新行动,包括:对新闻工作机制展开广泛的“再阐释”,重建新闻面对人工智能的文化权威;优化人工智能的部署方向,提升新闻的认知价值;创建关于“人工智能”的专门化报道领域,确立新闻业对AI议题的话语权;强化AI时代的新闻伦理,捍卫真实性与公共性的操作规范。总之,进行“面对人工智能”的新闻创新,意味着新闻业应致力于成为信息生态系统的修复者和人工智能企业的平等合作者,而非盲目的技术跟随者。
From the perspective of information ecosystem theory,this paper analyzes the inherent causes of the high-risk information environment shaped by the interplay of artificial intelligence(Al)and social networks.It argues that journalism must transcend mere"Applied-AI Journalism Innovation"which prioritizes efficiency gains within existing frameworksand adopt"Face-to-Al Journalism Innovation"to re-anchor its existential significance in the contemporary information circumstance.The study elaborates on four dimensions of"Face-to-AI Journalism Innovation",including the reinterpretation of journalistic mechanisms to rebuild cultural authority in the AI era,the optimization of AI deployment to enhance journalism's cognitive value,the establishment of specialized Al-reporting domains to assert journalistic discourse power over Al issues,and the strengthening of journalistic ethics in the Alera to safeguard operational norms of authenticity and public accountability.The paper contends that journalism needs to transform into a restorer of information ecosystem and an equal collaborator with Al developers,rather than a passive follower of technological trends.
作者
王辰瑶
封丽
Wang Chenyao;Feng Li(School of Journalism and Communication,Nanjing University)
出处
《新闻界》
北大核心
2025年第6期17-27,40,共12页
基金
国家社科基金项目“全媒体传播体系中网络化新闻业建设路径研究”(23BXW034)。
关键词
信息风险
信息生态系统
人工智能
新闻创新
information risk
information ecosystem
artificial intelligence:journalism innovation
