政府应对网络舆情的信息需求研究

发布时间：2018-09-09 16:47

【摘要】：互联网的快速发展,新媒体广泛的应用,不断地影响和改变着社会公众的思维方式、学习方式和生活方式。网络媒体以其传播速度快、交互性、不受时空限制等特点,在网络舆情发生发展过程中发挥着极大的作用,给社会安定、政府管理带来了严峻的挑战。如何成功地化解网络舆情,成为各级政府必须面对的问题,也成为学术界研究的重要课题。本文共有五部分:第一部分绪论。主要介绍本文的研究背景、研究意义、国内外研究现状、研究方法与创新之处。第二部分网络舆情与政府信息需求相关知识基础。阐述网络舆情的概念、特征、网络舆情演化规律、网络舆情的影响,以及政府应对网络舆情的信息需求内容和特征、政府应对网络舆情的必要性。第三部分政府应对网络舆情的信息需求流程分析。基于网络舆情事件生命周期的应对信息需求,对需求信息监测和鉴别、需求信息挖掘与内容分析、需求信息加工以及需求信息跟踪反馈等一系列信息活动的分析。第四部分政府应对网络舆情的信息需求分析三维模型构建。根据网络舆情的演化规律,将政府应对网络舆情信息需求分析应用中的时间维分为:舆情产生、舆情扩散、舆情整合、舆情衰减4个阶段,逻辑维分为信息收集、信息筛选、信息分析、方案实施、方案跟踪5个步骤,信息维分为相关政策知识、法律法规知识、专家经验、数据类信息以及各行业的相关专业知识5类。从系统工程的视角,将网络舆情的时间序列化过程和政府应对的信息需求分析、信息需求内容有机结合在一起,并运用该模型对网络舆情事件案例进行了实例分析。第五部分结语。对本文进行总结,指出不足之处。
[Abstract]:The rapid development of the Internet and the wide application of new media constantly influence and change the way of thinking, learning and life of the public. With the characteristics of fast communication, interactivity and no limitation of time and space, network media plays a great role in the process of the development of network public opinion, which brings severe challenges to social stability and government management. How to successfully resolve network public opinion has become a problem that governments at all levels must face, and it has also become an important subject of academic research. There are five parts in this paper: the first part is introduction. This paper mainly introduces the research background, research significance, domestic and foreign research status, research methods and innovations. The second part is the knowledge base of network public opinion and government information demand. This paper expounds the concept, characteristics, evolution law of network public opinion, the influence of network public opinion, the content and characteristics of information demand of government response to network public opinion, and the necessity of government response to network public opinion. The third part analyzes the information demand flow of government response to network public opinion. Based on the life cycle of network public opinion events, this paper analyzes a series of information activities, such as monitoring and identifying requirement information, mining and content analysis of requirement information, processing of requirement information and tracking and feedback of requirement information. The fourth part of the government response to network public opinion information needs analysis three-dimensional model construction. According to the evolution law of network public opinion, the time dimension of government response to network public opinion information demand analysis is divided into four stages: public opinion generation, public opinion diffusion, public opinion integration, public opinion attenuation, logical dimension is divided into information collection, information screening, Information analysis, program implementation and program tracking are five steps. The information dimension is divided into five categories: relevant policy knowledge, law and regulation knowledge, expert experience, data information and relevant professional knowledge of various industries. From the point of view of system engineering, this paper combines the time serialization process of network public opinion with the information demand analysis of government, and uses the model to analyze the case of network public opinion event. Conclusion of the fifth part. Summarize this paper and point out the deficiency.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：C912.63

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