Performance Analysis on Features of Headlines and Media Organizations about Terrorist Attacks: based on a Combinatory Algorithm

doi:10.23940/ijpe.19.10.p6.26082617

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (10): 2608-2617.doi: 10.23940/ijpe.19.10.p6.26082617

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Performance Analysis on Features of Headlines and Media Organizations about Terrorist Attacks: based on a Combinatory Algorithm

Junchao Feng^a^b^*, Ping Liu^c, Jianjun Miao^a, Ruilun Liu^d, and Dongbo Wang^d

^aSchool of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211100, China
^bForeign Language Department, Harbin University of Science and Technology, Harbin, 150080, China
^cLibrary Information Consultation Department, Harbin University of Science and Technology, Harbin, 150080, China
^dSchool of Information and Technology, Nanjing Agricultural University, Nanjing, 21005, China

Submitted on ; Revised on ; Accepted on
Contact: Feng Junchao
About author:
* Corresponding author. E-mail address: fengjunchao@nuaa.edu.cn
Supported by:
Fund The authors thank Wang Dongbo for helpful feedback on this project The lead author also thanks to the National Natural Science Foundation of China (No.11705089) and the National Social Science Foundation of China for grants (No.15BTQ058) At last, the authors are grateful to all the anonymous reviewers for their valuable comments and suggestions

Abstract

Abstract:

This paper aims to study the relationship between the geographical distribution of terrorist attacks and features of headlines and media organizations reporting terrorist attacks. Data are derived from the Global Terrorism Database (GTD) and are established into terrorist attacks news corpus along One Belt One Road. This paper adopted a combinatory algorithm with the edit distance algorithm and the longest common subsequence algorithm to calculate the similarity headlines of media organizations across the world. Also, this paper further explores the relationship between the geographical distribution of terrorist attacks and that of global media organizations with co-occurrence analysis and social network analysis. The results show that the mainstream media organizations always imitate or copy news reports of media organizations with regional natures where terrorist attacks often happened. In regards to the geographical distribution of terrorist attacks, the results show that there is a positive correlation between the geographical distribution frequencies of terrorist attacks and that of media organizations in areas prone to suffering from terrorist attacks. The proposed combinatory algorithm for features of media coverage about terrorist attacks along One Belt One Road could provide a very significant performance increase in the terrorist events studies. The findings of this research could help relevant institutions early warn and guard against hazards of terrorist attacks.

Key words: feature analysis, media organization and headline, terrorist attack, the longest common subsequence algorithm

Junchao Feng, Ping Liu, Jianjun Miao, Ruilun Liu, and Dongbo Wang. Performance Analysis on Features of Headlines and Media Organizations about Terrorist Attacks: based on a Combinatory Algorithm [J]. Int J Performability Eng, 2019, 15(10): 2608-2617.

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Performance Analysis on Features of Headlines and Media Organizations about Terrorist Attacks: based on a Combinatory Algorithm

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