近年来,以算法为核心的智能推荐技术成为新闻信息传播行业重要的内容采集和分发手段。它在极大地提高新闻信息生产效率的同时,也给整个行业带来了新的挑战。怎样有效规避智能推荐技术带来的一些问题,加强舆论引导,更大程度地提高社会效益,成为这一技术今后的突破点之一。本报告在总结行业得失的基础上,就此提出了若干建议。
<<In recent years,algorithm-centered intelligent recommendation technology has become an important means of content acquisition and distribution in the journalism and communication industry. While greatly improving the efficiency of news and information production,it also brings new challenges to the whole industry. How to effectively avoid some problems brought by intelligent recommendation technology,strengthen the guidance of public opinion,and improve social benefits to a greater extent,have become one of the breakthroughs of this technology in the future. On the basis of summarizing the gains and losses of the industry,this paper puts forward several suggestions.
<<Keywords: | Public Opinion GuidanceIntelligent Recommendation TechnologyMainstream Media AlgorithmAlgorithm+Values Model |