Title | ||
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Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets. |
Abstract | ||
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Social interactions take place in environments that influence people’s behaviours and perceptions. Nowadays, the users of Online Social Network (OSN) generate a massive amount of content based on social interactions. However, OSNs wide popularity and ease of access created a perfect scenario to practice malicious activities, compromising their reliability. To detect automatic information broadcast in OSN, we developed a wavelet-based model that classifies users as being human, legitimate robot, or malicious robot, as a result of spectral patterns obtained from users’ textual content. We create the feature vector from the Discrete Wavelet Transform along with a weighting scheme called Lexicon-based Coefficient Attenuation. In particular, we induce a classification model using the Random Forest algorithm over two real Twitter datasets. The corresponding results show the developed model achieved an average accuracy of 94.47% considering two different scenarios: single theme and miscellaneous one.
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Year | Venue | Keywords |
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2018 | TOMCCAP | OSN frauds, bots, text mining, wavelets, writing style |
Field | DocType | Volume |
Broadcasting,Feature vector,Social network,Computer science,Popularity,Computer network,Discrete wavelet transform,Artificial intelligence,Robot,Random forest,Machine learning,Wavelet | Journal | 14 |
Issue | Citations | PageRank |
1s | 1 | 0.35 |
References | Authors | |
33 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sylvio Barbon Júnior | 1 | 50 | 14.05 |
Gabriel F. C. Campos | 2 | 1 | 0.35 |
Gabriel M. Tavares | 3 | 6 | 5.17 |
Rodrigo Augusto Igawa | 4 | 11 | 2.58 |
Mario Lemes Proença Jr. | 5 | 188 | 20.31 |
Rodrigo Capobianco Guido | 6 | 161 | 27.59 |