TY - GEN
T1 - Investigating Cybersecurity News Articles by Applying Topic Modeling Method
AU - Ghasiya, Piyush
AU - Okamura, Koji
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/13
Y1 - 2021/1/13
N2 - Machine Learning (ML) and specifically Natural Language Processing (NLP) are increasingly used as tools in the cybersecurity world. These NLP tools bring new capabilities that support both defenders and attackers in their activities, whether it is risk scenarios such as events and threats or security operations. Ours is a unique case study as we are investigating cybersecurity news on a national and global level. This large study covered six countries and 18 major newspapers and analyzed thousands of cybersecurity articles using the Nonnegative Matrix Factorization (NMF) topic modeling method. News making and policymaking complement each other in forming national identities. This research aims to provide the foundation for the field of Cybersecurity in this direction. Our results showed the US dominance and its significance for other countries. This research also highlighted that much of the US media's cybersecurity reporting focuses on domestic issues, unlike other nations.
AB - Machine Learning (ML) and specifically Natural Language Processing (NLP) are increasingly used as tools in the cybersecurity world. These NLP tools bring new capabilities that support both defenders and attackers in their activities, whether it is risk scenarios such as events and threats or security operations. Ours is a unique case study as we are investigating cybersecurity news on a national and global level. This large study covered six countries and 18 major newspapers and analyzed thousands of cybersecurity articles using the Nonnegative Matrix Factorization (NMF) topic modeling method. News making and policymaking complement each other in forming national identities. This research aims to provide the foundation for the field of Cybersecurity in this direction. Our results showed the US dominance and its significance for other countries. This research also highlighted that much of the US media's cybersecurity reporting focuses on domestic issues, unlike other nations.
UR - http://www.scopus.com/inward/record.url?scp=85100819135&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100819135&partnerID=8YFLogxK
U2 - 10.1109/ICOIN50884.2021.9333952
DO - 10.1109/ICOIN50884.2021.9333952
M3 - Conference contribution
AN - SCOPUS:85100819135
T3 - International Conference on Information Networking
SP - 432
EP - 438
BT - 35th International Conference on Information Networking, ICOIN 2021
PB - IEEE Computer Society
T2 - 35th International Conference on Information Networking, ICOIN 2021
Y2 - 13 January 2021 through 16 January 2021
ER -