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Automatic detection of cyberbullying to make internet a safer environment

Нема приказа
Аутори
Kovačević, Ana
Nikolić, D.
Поглавље у монографији (Објављена верзија)
Метаподаци
Приказ свих података о документу
Апстракт
The Internet has become an inevitable form of communication, which enables connections with colleagues, friends, or people with similar interests, regardless of physical barriers. However, there is also a dark side to the Internet, since an alarming number of adolescents admit they have been victims or bystanders of cyberbullying. In order to make the Internet a safer environment, it is necessary to develop novel methods and software capable of preventing and managing cyberbullying. This chapter reviews existing research in dealing with this phenomenon and discusses current and potential applications of text mining techniques for the detection of cyberbullying.
Извор:
Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance, 2014, 277-290
Издавач:
  • IGI Global

DOI: 10.4018/978-1-4666-6324-4.ch018

Scopus: 2-s2.0-84945348189
[ Google Scholar ]
4
URI
https://rhinosec.fb.bg.ac.rs/handle/123456789/239
Колекције
  • Radovi istraživača
Институција/група
FB
TY  - CHAP
AU  - Kovačević, Ana
AU  - Nikolić, D.
PY  - 2014
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/239
AB  - The Internet has become an inevitable form of communication, which enables connections with colleagues, friends, or people with similar interests, regardless of physical barriers. However, there is also a dark side to the Internet, since an alarming number of adolescents admit they have been victims or bystanders of cyberbullying. In order to make the Internet a safer environment, it is necessary to develop novel methods and software capable of preventing and managing cyberbullying. This chapter reviews existing research in dealing with this phenomenon and discusses current and potential applications of text mining techniques for the detection of cyberbullying.
PB  - IGI Global
T2  - Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
T1  - Automatic detection of cyberbullying to make internet a safer environment
SP  - 277
EP  - 290
DO  - 10.4018/978-1-4666-6324-4.ch018
UR  - conv_525
ER  - 
@inbook{
author = "Kovačević, Ana and Nikolić, D.",
year = "2014",
abstract = "The Internet has become an inevitable form of communication, which enables connections with colleagues, friends, or people with similar interests, regardless of physical barriers. However, there is also a dark side to the Internet, since an alarming number of adolescents admit they have been victims or bystanders of cyberbullying. In order to make the Internet a safer environment, it is necessary to develop novel methods and software capable of preventing and managing cyberbullying. This chapter reviews existing research in dealing with this phenomenon and discusses current and potential applications of text mining techniques for the detection of cyberbullying.",
publisher = "IGI Global",
journal = "Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance",
booktitle = "Automatic detection of cyberbullying to make internet a safer environment",
pages = "277-290",
doi = "10.4018/978-1-4666-6324-4.ch018",
url = "conv_525"
}
Kovačević, A.,& Nikolić, D.. (2014). Automatic detection of cyberbullying to make internet a safer environment. in Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
IGI Global., 277-290.
https://doi.org/10.4018/978-1-4666-6324-4.ch018
conv_525
Kovačević A, Nikolić D. Automatic detection of cyberbullying to make internet a safer environment. in Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance. 2014;:277-290.
doi:10.4018/978-1-4666-6324-4.ch018
conv_525 .
Kovačević, Ana, Nikolić, D., "Automatic detection of cyberbullying to make internet a safer environment" in Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance (2014):277-290,
https://doi.org/10.4018/978-1-4666-6324-4.ch018 .,
conv_525 .

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