Cite Article

Detecting the Usage of Vulgar Words in Cyberbully Activities from Twitter

Choose citation format

BibTeX

@article{IJASEIT10645,
   author = {Nursyahirah Tarmizi and Suhaila Saee and Dayang Hanani Abang Ibrahim},
   title = {Detecting the Usage of Vulgar Words in Cyberbully Activities from Twitter},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {3},
   year = {2020},
   pages = {1117--1122},
   keywords = {cyberbully; detection; Twitter; social media; vulgar words.},
   abstract = {

Nowadays, nearly all people utilize the device which is connected to Internet. People are accustomed to the use information technology devices in their daily life to interact with other people. Currently, many social media platforms such as Facebook, Twitter, Instagram, and YouTube are becoming popular. This study selected Twitter platforms, which is started to gain popularity. By the rapid growth of users signing up for Twitter accounts, at the same time, cybercrime started to bloom each year in social media platforms. Cyberbully is one of the cybercrime practices which had caused a significant impact on the targeted victims. The victims experienced social pressure, which they need to bear each day while the bullies stayed free behind the veil of anonymity. This study aims to identify the common vulgar words used by the cyberbullies on Twitter. Also, this study is subject to produce essential features of Twitter based on the collected tweets. The evaluation in this study includes the occurrences of the vulgar word perpetrated by the cyberbullies from Twitter. This study detected the usage of vulgar words in cyberbully activities on Twitter platform. A list of vulgar words were extracted and evaluated from a corpus of 50 Twitter users who posted a various number of tweets. The vulgar words detection in the tweets enable the tracking process of the cyberbully activities. In the evaluation section, we discussed how the usage of the vulgar words would define the user’s earnestness in doing the cyberbully activities in the Twitter. This study shows there are users with a low number of tweets have a high number of vulgar words occurrences, while other users with high numbers of tweets but less number of vulgar words occurrences. The information collected in this study is expected to assist marking users with a high number of vulgar words occurrences who tend to have high possibilities in doing cyber-bully activities.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10645},    doi = {10.18517/ijaseit.10.3.10645} }

EndNote

%A Tarmizi, Nursyahirah
%A Saee, Suhaila
%A Abang Ibrahim, Dayang Hanani
%D 2020
%T Detecting the Usage of Vulgar Words in Cyberbully Activities from Twitter
%B 2020
%9 cyberbully; detection; Twitter; social media; vulgar words.
%! Detecting the Usage of Vulgar Words in Cyberbully Activities from Twitter
%K cyberbully; detection; Twitter; social media; vulgar words.
%X 

Nowadays, nearly all people utilize the device which is connected to Internet. People are accustomed to the use information technology devices in their daily life to interact with other people. Currently, many social media platforms such as Facebook, Twitter, Instagram, and YouTube are becoming popular. This study selected Twitter platforms, which is started to gain popularity. By the rapid growth of users signing up for Twitter accounts, at the same time, cybercrime started to bloom each year in social media platforms. Cyberbully is one of the cybercrime practices which had caused a significant impact on the targeted victims. The victims experienced social pressure, which they need to bear each day while the bullies stayed free behind the veil of anonymity. This study aims to identify the common vulgar words used by the cyberbullies on Twitter. Also, this study is subject to produce essential features of Twitter based on the collected tweets. The evaluation in this study includes the occurrences of the vulgar word perpetrated by the cyberbullies from Twitter. This study detected the usage of vulgar words in cyberbully activities on Twitter platform. A list of vulgar words were extracted and evaluated from a corpus of 50 Twitter users who posted a various number of tweets. The vulgar words detection in the tweets enable the tracking process of the cyberbully activities. In the evaluation section, we discussed how the usage of the vulgar words would define the user’s earnestness in doing the cyberbully activities in the Twitter. This study shows there are users with a low number of tweets have a high number of vulgar words occurrences, while other users with high numbers of tweets but less number of vulgar words occurrences. The information collected in this study is expected to assist marking users with a high number of vulgar words occurrences who tend to have high possibilities in doing cyber-bully activities.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10645 %R doi:10.18517/ijaseit.10.3.10645 %J International Journal on Advanced Science, Engineering and Information Technology %V 10 %N 3 %@ 2088-5334

IEEE

Nursyahirah Tarmizi,Suhaila Saee and Dayang Hanani Abang Ibrahim,"Detecting the Usage of Vulgar Words in Cyberbully Activities from Twitter," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 3, pp. 1117-1122, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.3.10645.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Tarmizi, Nursyahirah
AU  - Saee, Suhaila
AU  - Abang Ibrahim, Dayang Hanani
PY  - 2020
TI  - Detecting the Usage of Vulgar Words in Cyberbully Activities from Twitter
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 3
Y2  - 2020
SP  - 1117
EP  - 1122
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - cyberbully; detection; Twitter; social media; vulgar words.
N2  - 

Nowadays, nearly all people utilize the device which is connected to Internet. People are accustomed to the use information technology devices in their daily life to interact with other people. Currently, many social media platforms such as Facebook, Twitter, Instagram, and YouTube are becoming popular. This study selected Twitter platforms, which is started to gain popularity. By the rapid growth of users signing up for Twitter accounts, at the same time, cybercrime started to bloom each year in social media platforms. Cyberbully is one of the cybercrime practices which had caused a significant impact on the targeted victims. The victims experienced social pressure, which they need to bear each day while the bullies stayed free behind the veil of anonymity. This study aims to identify the common vulgar words used by the cyberbullies on Twitter. Also, this study is subject to produce essential features of Twitter based on the collected tweets. The evaluation in this study includes the occurrences of the vulgar word perpetrated by the cyberbullies from Twitter. This study detected the usage of vulgar words in cyberbully activities on Twitter platform. A list of vulgar words were extracted and evaluated from a corpus of 50 Twitter users who posted a various number of tweets. The vulgar words detection in the tweets enable the tracking process of the cyberbully activities. In the evaluation section, we discussed how the usage of the vulgar words would define the user’s earnestness in doing the cyberbully activities in the Twitter. This study shows there are users with a low number of tweets have a high number of vulgar words occurrences, while other users with high numbers of tweets but less number of vulgar words occurrences. The information collected in this study is expected to assist marking users with a high number of vulgar words occurrences who tend to have high possibilities in doing cyber-bully activities.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10645 DO - 10.18517/ijaseit.10.3.10645

RefWorks

RT Journal Article
ID 10645
A1 Tarmizi, Nursyahirah
A1 Saee, Suhaila
A1 Abang Ibrahim, Dayang Hanani
T1 Detecting the Usage of Vulgar Words in Cyberbully Activities from Twitter
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 3
YR 2020
SP 1117
OP 1122
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 cyberbully; detection; Twitter; social media; vulgar words.
AB 

Nowadays, nearly all people utilize the device which is connected to Internet. People are accustomed to the use information technology devices in their daily life to interact with other people. Currently, many social media platforms such as Facebook, Twitter, Instagram, and YouTube are becoming popular. This study selected Twitter platforms, which is started to gain popularity. By the rapid growth of users signing up for Twitter accounts, at the same time, cybercrime started to bloom each year in social media platforms. Cyberbully is one of the cybercrime practices which had caused a significant impact on the targeted victims. The victims experienced social pressure, which they need to bear each day while the bullies stayed free behind the veil of anonymity. This study aims to identify the common vulgar words used by the cyberbullies on Twitter. Also, this study is subject to produce essential features of Twitter based on the collected tweets. The evaluation in this study includes the occurrences of the vulgar word perpetrated by the cyberbullies from Twitter. This study detected the usage of vulgar words in cyberbully activities on Twitter platform. A list of vulgar words were extracted and evaluated from a corpus of 50 Twitter users who posted a various number of tweets. The vulgar words detection in the tweets enable the tracking process of the cyberbully activities. In the evaluation section, we discussed how the usage of the vulgar words would define the user’s earnestness in doing the cyberbully activities in the Twitter. This study shows there are users with a low number of tweets have a high number of vulgar words occurrences, while other users with high numbers of tweets but less number of vulgar words occurrences. The information collected in this study is expected to assist marking users with a high number of vulgar words occurrences who tend to have high possibilities in doing cyber-bully activities.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10645 DO - 10.18517/ijaseit.10.3.10645