Real-Time Bot Detection from Twitter Using the Twitterbot+ Framework

Kheir Daouadi; Rim Rebaï; Ikram Amous

doi:10.3897/jucs.2020.026

Research Article

JUCS - Journal of Universal Computer Science 26(4): 496-507
https://doi.org/10.3897/jucs.2020.026 (28 Apr 2020)

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Merve ÖNCÜL, Tuana İRKEY, Başak GÖK, Hadi GÖKÇEN (2023)
Automatic Detection of Disinformation: A Systematic Mapping Study. Journal of Polytechnic : .

DOI: 10.2339/politeknik.1307037

Rathan Muralidhar, Vishwanath R Hulipalled (2023)
Sentiment Analysis Framework using Deep Active Learning for Smartphone Aspect Based Rating Prediction. Foundations of Computing and Decision Sciences 48: 181.

DOI: 10.2478/fcds-2023-0008

K. Laila, P. Jayashree, V. Vinuvarsidh (2024)
A Unified Neuro-Fuzzy Framework to Assess the User Credibility on Twitter. IETE Journal of Research 70: 1407.

DOI: 10.1080/03772063.2023.2220687

A Ramalingaiah, S Hussaini, S Chaudhari (2021)
Twitter bot detection using supervised machine learning. Journal of Physics: Conference Series 1950: 012006.

DOI: 10.1088/1742-6596/1950/1/012006

Zhenhua Yu, Liangxue Bai, Ou Ye, Xuya Cong (2024)
Social Robot Detection Method with Improved Graph Neural Networks. Computers, Materials & Continua 78: 1773.

DOI: 10.32604/cmc.2023.047130

Kheir Eddine Daouadi, Rim Zghal Rebaï, Ikram Amous (2021)
Optimizing Semantic Deep Forest for tweet topic classification. Information Systems 101: 101801.

DOI: 10.1016/j.is.2021.101801

Ioanna Archontaki, Dimitris Papaevagelou (2024)
Social Media and Modern Society - How Social Media Are Changing the Way We Interact with the World Around. Chapter 16: .

DOI: 10.5772/intechopen.1006037

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