期刊文献+

网络舆情突发热点事件风险模糊综合评价研究 被引量:1

Research on Fuzzy Comprehensive Evaluation of Risk of Hot Events on Internet Public Opinion
原文传递
导出
摘要 [目的/意义]网络舆情评判有助于发现隐藏的社会危机,快速聚焦公众最关心的话题,了解民众需求,平息民怨。[方法/过程]结合实际数据,借助模糊综合评价法,评估网络舆情突发热点事件的风险指数,描述其风险态势,通过比较风险指数前后变化可明确舆论引导效果。[结果/结论]第一,改进了以往研究中DEMATEL-ANP两模型联用的弊端,更为科学地评价指标权重。第二,基于模糊评判的原理,用实际传播数据形成模糊集后再解模糊化,较为精准地得出网络舆情突发热点事件的风险指数。第三,提出的研究方法形成的风险态势符合舆情事件实际舆论演变过程,且比较前后风险指数可以分析舆论引导主体的引导策略是否达到预期目标。 [Purpose/significance]Online public opinion evaluation helps to discover hidden social crises,quickly focus on the topics that the public care most,understand people’s needs,and quell public grievances.[Method/process]This paper combines actual data with the help of fuzzy comprehensive evaluation to assess the risk index of hot events of online public opinion and describe their risk situation,and the effect of public opinion guidance can be clarified by comparing the before and after changes of risk index.[Result/conclusion]This study has the following threefold significance.Firstly,this paper improves the drawbacks of the joint use of the DEMATEL-ANP models in previous studies and evaluates the index weights more intuitively and scientifically.Secondly,this paper combines the actual communication data and forms a fuzzy set based on the principle of fuzzy evaluation and then performs defuzzification,which can more accurately derive the risk index of hot events of online public opinion.Thirdly,the risk situation formed by this method is consistent with the actual opinion evolution process of public opinion events,and comparing the risk index before and after can analyze whether the guidance strategies achieve the expected goal.
作者 王华 罗玲 乔晶 Wang Hua
出处 《情报理论与实践》 北大核心 2023年第11期126-132,共7页 Information Studies:Theory & Application
基金 陕西省社会科学基金项目“社交媒体时代涉陕网络舆情的特征、影响及引导策略”的成果,项目编号:2021ZXWT04。
关键词 网络舆情 热点事件 风险指数 风险态势 模糊综合评价 online public opinion hot events risk index risk situation fuzzy comprehensive evaluation
  • 相关文献

参考文献27

二级参考文献269

共引文献847

同被引文献13

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部