Are You Human? Detecting Bots on Twitter Using BERT (CROSBI ID 705604)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Dukić, David ; Keča, Dominik ; Stipić, Dominik
engleski
Are You Human? Detecting Bots on Twitter Using BERT
Dissemination of fake news on Twitter is a rapidly growing problem, mostly due to the increasing number of bots. Hence, automatic bot detection is becoming an important area of research. In this work, we present the BERT- based bot detection model along with exploratory data analysis of tweets written by bots and humans. We statistically prove that including additional features alongside contextualized embeddings boosts model performance. Furthermore, we develop a gender prediction model using derived features and compare the difficulties of the two tasks. Finally, we demonstrate how Logistic Regression outperforms Deep Neural Network on both tasks.
BERT model ; bot detection ; emoji2vec ; gender prediction ; latent Dirichlet allocation ; shallow vs. deep learning ; t-SNE
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Podaci o prilogu
631-636.
2020.
objavljeno
10.1109/dsaa49011.2020.00089
Podaci o matičnoj publikaciji
2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)
Institute of Electrical and Electronics Engineers (IEEE)
Podaci o skupu
IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA 2020)
predavanje
06.10.2020-09.10.2020
Sydney, Australija