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跨媒介舆情网络环境下信息传播机制研究与进展 被引量:12

A survey of information propaganda mechanism under the cross-medium
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摘要 随着移动网络、云计算以及大数据技术的应用发展,网络舆情的传播呈现出了传播跨媒介、内容跨媒体以及覆盖区域跨语言等新的特征,并成为了新一代舆情事件分析与研究的前沿.本文从跨媒介舆情网络环境下的信息传播机制出发,通过对网络信息传播过程中的信息传播者P、信息接收者R、信息内容C、传播媒介M以及传播的结果评价A 5个核心要素进行建模,形成了PRCMA多元相关的信息传播模型.在此基础上,结合上述5个要素对舆情信息传播过程中的影响作用和存在的关键性问题,即:传播者影响力识别与度量以及对信息传播影响作用问题、不可信信息的识别及可信度的实时度量问题、跨媒介信息传播动力学机制、信息接收者个体兴趣偏好与群体行为对信息接收影响程度的度量问题,以及跨媒介信息传播效果的评价等问题与技术挑战进行了理论探讨、实际应用以及发展趋势分析,为解决跨媒介舆情信息的传播机制提供了新的研究线索与方向. With the development of mobile networking, cloud computing, and big data technology, propaganda through public opinion and sentiment on the Internet has shown some new features, such as cross-medium, crossmedia, and cross-language characteristics, which indicates exciting challenges for next-generation research and application of public opinion analysis. In this paper, the information propaganda mechanism of public sentiment under social networking is explored under a cross-medium environment, which means that the information can be spread across different web sites and social networks. A multi-element information propaganda model, called the PRCMA model, is then proposed, which includes five critical elements during the entire process of information propaganda, such as the information publisher(P), information receiver(R), content(C), medium(M), and result assessment(A). Furthermore, the critical challenges and vital research problems are illustrated, and some up-to-date research results are analyzed and reviewed based on each dimension of the PRCMA model, particularly on how to identify and measure the influence of nodes, identify fake information in real time, measure the personal preference and group behaviors, and measure the results of propaganda in the process of information spread under a cross-medium environment. Finally, some new technologies, theoretical methods, applications, and future trends are discussed, which provide new clues and research fields for further research on public opinion and sentiment on the Internet under a cross-medium environment.
出处 《中国科学:信息科学》 CSCD 北大核心 2017年第12期1623-1645,共23页 Scientia Sinica(Informationis)
基金 国家国际科技合作专项(批准号:2015DFA81780) 陕西省科技厅协同创新项目(批准号:2015XT-21) 教育部"云数融合"基金项目(批准号:2017B00030) 中央高校基本科研业务费(批准号:zdyf2017006)资助项目
关键词 跨媒介 舆情网络 信息传播 大数据 评估机制 cross-media, sentiment network, information propaganda, big data, assessment mechanism
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