Jurnal SINTA 2
BOT SPAMMER DETECTION IN TWITTER USING TWEET SIMILARITY AND TIME INTERVAL ENTROPY
Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 8 No. 1 (2015) · pp. 19–25
- ISSN
- 2502-9274, 2088-7051
- Published
- 2015-03-26
- Publisher
- Faculty of Computer Science - Universitas Indonesia
- Language
- eng
Abstract
The popularity of Twitter has attracted spammers to disseminate large amount of spam messages. Preliminary studies had shown that most spam messages were produced automatically by bot. Therefore bot spammer detection can reduce the number of spam messages in Twitter significantly. However, to the best of our knowledge, few researches have focused in detecting Twitter bot spammer. Thus, this paper proposes a novel approach to differentiate between bot spammer and legitimate user accounts using time interval entropy and tweet similarity. Timestamp collections are utilized to calculate the time interval entropy of each user. Uni-gram matching-based similarity will be used to calculate tweet similarity. Datasets are crawled from Twitter containing both normal and spammer accounts. Experimental results showed that legitimate user may exhibit regular behavior in posting tweet as bot spammer. Several legitimate users are also detected to post similar tweets. Therefore it is less optimal to detect bot spammer using one of those features only. However, combination of both features gives better classification result. Precision, recall, and f-measure of the proposed method reached 85,71%, 94,74% and 90% respectively. It outperforms precision, recall, and f-measure of method which only uses either time interval entropy or tweet similarity.
Keywords
Collaboration network of the authors
28 authors · 52 co-authorship links · 4 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- Institut Teknologi Sepuluh Nopember
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Putra Pandu Adikara | University of Brawijaya | 2 |
| Febri Liantoni | Institut Teknologi Sepuluh Nopember | 1 |
| Kartika Candra Kirana | Institut Teknologi Sepuluh Nopember | 1 |
| Fitra Abdurrachman Bachtiar | University of Brawijaya | 1 |
| Nathanael Victor Darenoh | University of Brawijaya | 1 |
| Chastine Fatichah | Institut Teknologi Sepuluh Nopember | 1 |
| Diana Purwitasari | Institut Teknologi Sepuluh Nopember | 1 |
| Satrio Agung Wicaksono | University of Brawijaya | 1 |
| Rochmat Setiyawan | University of Brawijaya | 1 |
| Budi Darma Setiyawan | University of Brawijaya | 1 |
| Ari Hernawan | University of Brawijaya | 1 |
| Wayan Firdaus Mahmudy | University of Brawijaya | 1 |
| Ghenniy Rachmansyah | University of Brawijaya | 1 |
| Indriati . | Affiliation unknown | 1 |
| Anshar Zulhilmi | University of Brawijaya | 1 |
| Muhammad Fathur Rahman Khairul | University of Brawijaya | 1 |
| Zahra Asma Annisa | University of Brawijaya | 1 |
| Faiz Aulia Al Farisi | University of Brawijaya | 1 |
| Aryo Pinandito | University of Brawijaya | 1 |
| Multohadi Hamzaturrazak | University of Brawijaya | 1 |
| Abdul Jabbar | University of Brawijaya | 1 |
| Candra Dewi | University of Brawijaya | 1 |
| Firman Afrialdy | Affiliation unknown | 1 |
| Firman Afrialdy | Affiliation unknown | 1 |
| Candra Dewi | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.