SPAMMER DETECTION BASED ON ACCOUNT, TWEET, AND COMMUNITY ACTIVITY ON TWITTER

SPAMMER DETECTION BASED ON ACCOUNT, TWEET, AND COMMUNITY ACTIVITY ON TWITTER

Spammer detection, account feature, tweet feature, community feature, twitter, hashtag

Spammers are the activities of users who abuse Twitter to spread spam. Spammers imitate legitimate user behavior patterns to avoid being detected by spam detectors. Spammers create lots of fake accounts and collaborate with each other to form communities. The collaboration makes it difficult to detect spammers' accounts. This research proposed the development of feature extraction based on hashtags and community activities for the detection of spammer accounts on Twitter. Hashtags are used by spammers to increase popularity. Community activities are used as features for the detection of spammers so as to give weight to the activities of spammers contained in a community. The experimental result shows that the proposed method got the best performance in accuracy, recall, precision and g-means with are 90.55%, 88.04%, 3.18%, and 16.74%, respectively. The accuracy and g-mean of the proposed method can surpassed previous method with 4.23% and 14.43%. This shows
that the proposed method can overcome the problem of detecting spammer on Twitter with better performance compared to state of the art.

Arif Mudi Priyatno, Agus Zainal Arifin, Rizka Wakhidatus Sholikah

http://dx:doi:org/10:21609/jiki:v13i2.871

Faculty of Computer Science Universitas Indonesia

2020-06-30

Sri Wahyuni

e-ISSN : 2502-9274 printed ISSN : 2088-7051

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English

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Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)