Development of Bot Detection Applications on Twitter Social Media Using Machine Learning with a Random Forest Classifier Algorithm
Aqilah Aini Zahra(1), Widyawan Widyawan(2), Silmi Fauziati(3*)
(1) Universitas Gadjah Mada
(2) Universitas Gadjah Mada
(3) Universitas Gadjah Mada
(*) Corresponding Author
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(2014) “Jack Dorsey Biography,” [Online], https://www.biography.com/business-figure/jack-dorsey, access date: 3-Sep-2019.
(2018) “Twitter by the Numbers (2018): Stats, Demographics & Fun Facts,” [Online], https://www.omnicoreagency.com/twitter-statistics/, access date: 13-Jun-2019.
V.S. Subrahmanian, A. Azaria, S. Durst, V. Kagan, A. Galstyan, et al., “The DARPA Twitter Bot Challenge,” Computer (Long. Beach. Calif.), Vol. 49, No. 6, pp. 38–46, 2016.
(2019) “Nain Weather Bot (@NainWxPxBot) | Twitter.” [Online], https://twitter.com/nainwxpxbot, access date: 3-Sep-2019.
K. Zetter (2009) “Trick or Tweet? Malware Abundant in Twitter URLs,” [Online], https://www.wired.com/2009/10/twitter-malware/, access date: 3-Sep-2019.
M. Haidermota, “Classifying Twitter User as a Bot or Not and Comparing Different Classification Algorithms.,” Int. J. Adv. Res. Comput. Sci., Vol. 9, No. 3, pp. 29–33, 2018.
M. Hossin and Sulaiman, “A Review on Evaluation Metrics for Data Classification Evaluations,” Int. J. Data Min. Knowl. Manag. Process, Vol. 5, No. 2, pp. 1-11, 2015.
J. Hurwitz and D. Kirsch, Machine Learning For Dummies, Hoboken, USA: John Wiley & Sons, Inc., 2018.
L. Breiman, “Random Forests,” Mach. Learn., Vol. 45, pp. 5–32, 2001.
H. Kwak, C. Lee, H. Park, and S. Moon, “What is Twitter, a social network or a news media?,” Proceedings of the 19th International Conference on World Wide Web, WWW ’10, 2010, pp. 591–600.
M. Newberg (2017) “Nearly 48 million Twitter accounts could be bots, says study,” [Online], https://www.cnbc.com/2017/03/10/nearly-48-million-twitter-accounts-could-be-bots-says-study.html, access date: 27-Aug-2019.
(2017) “#BotSpot: Twelve Ways to Spot a Bot,” Medium, [Online], https://medium.com/dfrlab/botspot-twelve-ways-to-spot-a-bot-aedc7d9c110c, access date: 27-Aug-2019.
S. Schreder (2018) “10 Twitter bots that actually make the internet a better place - Internet Citizen.” [Online], https://blog.mozilla.org/internetcitizen/2018/01/19/10-twitter-bots-actually-make-internet-better-place/, access date: 19-Dec-2019.
A. Khalil, H. Hajjdiab, and N. Al-Qirim, “Detecting Fake Followers in Twitter: A Machine Learning Approach,” Int. J. Mach. Learn. Comput., Vol. 7, No. 6, pp. 198–202, 2018.
F.A. Aslam and H.N.M.J.M.M.M.M.A. Gulamgaus, “Efficient Way Of Web Development Using Python And Flask,” Int. J. Adv. Res. Comput. Sci., Vol. 6, No. 2, pp. 54–57, 2015.
DOI: https://doi.org/10.22146/ijitee.56154
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