《计算机应用》唯一官方网站 ›› 2020, Vol. 40 ›› Issue (2): 524-529.DOI: 10.11772/j.issn.1001-9081.2019091629

• 第七届CCF大数据学术会议 • 上一篇    下一篇

面向重大突发社会安全事件的新闻媒体国际影响力分析

陈晨, 张绍武(), 杨亮, 张冬瑜, 林鸿飞   

  1. 大连理工大学 计算机科学与技术学院,辽宁 大连 116024
  • 收稿日期:2019-08-20 修回日期:2019-10-10 接受日期:2019-10-11 发布日期:2019-10-31 出版日期:2020-02-10
  • 通讯作者: 张绍武
  • 作者简介:陈晨(1994—),女,江苏连云港人,硕士研究生,CCF会员,主要研究方向:舆情分析、情感计算
    杨亮(1986—),男,辽宁盘锦人,讲师,博士,CCF会员,主要研究方向:情感计算、文本挖掘
    张冬瑜(1978—),女,辽宁锦州人,副教授,博士,主要研究方向:情感计算、隐喻识别
    林鸿飞(1962—),男,内蒙古通辽人,教授,博士生导师,博士,CCF会员,主要研究方向:搜索引擎、文本挖掘、情感计算、自然语言理解。
  • 基金资助:
    国家自然科学基金资助项目(61562080)

Analysis of international influence of news media for major social security emergencies

Chen CHEN, Shaowu ZHANG(), Liang YANG, Dongyu ZHANG, Hongfei LIN   

  1. School of Computer Science and Technology,Dalian University of Technology,Dalian Liaoning 116024,China
  • Received:2019-08-20 Revised:2019-10-10 Accepted:2019-10-11 Online:2019-10-31 Published:2020-02-10
  • Contact: Shaowu ZHANG
  • About author:CHEN Chen, born in 1994, M. S. candidate. Her research interests include public opinion analysis, affective computing.
    YANG Liang, born in 1986, Ph. D., lecturer. His research interests include affective computing, text mining.
    ZHANG Dongyu, born in 1978, Ph. D., associate professor. Her research interests include affective computing, metaphor recognition.
    LIN Hongfei, born in 1978, Ph. D., professor. His research interests include search engine, text mining, affective computing, natural language understanding.
  • Supported by:
    the National Natural Science Foundation of China(61562080)

摘要:

大数据时代下重大突发社会安全事件的舆情主要通过媒体快速传播,但现有研究大都没有考虑新闻媒体这一特殊群体以及在某一类特定事件中新闻媒体的影响力。为了研究上述问题,提出一种综合用户间的网络结构与行为关系来评价影响力的方法,并以新疆暴恐和巴黎暴恐事件为例,得出在Twitter平台中各国新闻媒体在此类事件中的国际影响力。该评价方法可以更好地得出各新闻媒体在事件层面上的影响力。通过使用该评价方法对新疆暴恐事件和巴黎暴恐事件中新闻媒体影响力进行计算,实验结果显示,各国新闻媒体在新疆暴恐事件和巴黎暴恐事件中的影响力存在差异,说明这两起同类型事件的影响范围不同,同时也从侧面反映了各国政治立场的差异。

关键词: 社会安全事件, 新闻媒体, 国际影响力, Twitter

Abstract:

Public opinions on major social security emergencies in the era of big data are mainly spread through the media. Most of the existing researches fail to consider the special group — news media and the influence of news media in a certain kind of specific events. In order to study the above problems, a method to evaluate the influence by integrating the network structure and behavioral relationship between users was proposed, and the Xinjiang and Paris violent and terrorist events were taken as examples to calculate the international influence of news media of different countries on such events on the Twitter platform. This evaluation method can better obtain the influence of various news media at the event level. By calculating the influence of news media in the violent and terrorist events in Xinjiang and Paris, the experimental results show that there are differences in the influence of news media of different countries in Xinjiang and Paris violent and terrorist events, which indicates that these two events of the same type have different influence scopes, and also reflects the differences of political positions of different countries.

Key words: social security incident, news media, international influence, Twitter

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