Tweet-based bot detection using big data analytics

A Derhab, R Alawwad, K Dehwah, N Tariq… - IEEE …, 2021 - ieeexplore.ieee.org
Twitter is one of the most popular micro-blogging social media platforms that has millions of
users. Due to its popularity, Twitter has been targeted by different attacks such as spreading …

Language-agnostic twitter-bot detection

J Knauth - Proceedings of the International Conference on Recent …, 2019 - aclanthology.org
In this paper we address the problem of detecting Twitter bots. We analyze a dataset of 8385
Twitter accounts and their tweets consisting of both humans and different kinds of bots. We …

Twitter Bot Detection Using Neural Networks and Linguistic Embeddings

F Wei, UT Nguyen - IEEE Open Journal of the Computer …, 2023 - ieeexplore.ieee.org
Twitter is a web application playing the dual role of online social networking and micro-
blogging. The popularity and open structure of Twitter have attracted a large number of …

T-Bot: AI-based social media bot detection model for trend-centric twitter network

S Gera, A Sinha - Social Network Analysis and Mining, 2022 - Springer
Online social media platforms have paved the way greatly into the lives of people and made
person-to-person interaction faster by making the world more connected. Users can spread …

A one-class classification approach for bot detection on Twitter

J Rodríguez-Ruiz, JI Mata-Sánchez, R Monroy… - Computers & …, 2020 - Elsevier
Twitter is a popular online social network with hundreds of millions of users, where n
important part of the accounts in this social network are not humans. Approximately 48 …

[HTML][HTML] DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data

K Hayawi, S Mathew, N Venugopal, MM Masud… - Social Network Analysis …, 2022 - Springer
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter
provide a space for expressing one's opinions in a public platform. This great potential is …

Deep neural networks for bot detection

S Kudugunta, E Ferrara - Information Sciences, 2018 - Elsevier
The problem of detecting bots, automated social media accounts governed by software but
disguising as human users, has strong implications. For example, bots have been used to …

Twibot-20: A comprehensive twitter bot detection benchmark

S Feng, H Wan, N Wang, J Li, M Luo - Proceedings of the 30th ACM …, 2021 - dl.acm.org
Twitter has become a vital social media platform while an ample amount of malicious Twitter
bots exist and induce undesirable social effects. Successful Twitter bot detection proposals …

Supervised machine learning bot detection techniques to identify social twitter bots

PG Efthimion, S Payne, N Proferes - SMU Data Science Review, 2018 - scholar.smu.edu
In this paper, we present novel bot detection algorithms to identify Twitter bot accounts and
to determine their prevalence in current online discourse. On social media, bots are …

[PDF][PDF] Real-Time Bot Detection from Twitter Using the Twitterbot+ Framework.

KE Daouadi, RZ Rebaï, I Amous - J. Univers. Comput. Sci., 2020 - researchgate.net
1owadays, bot detection from Twitter attracts the attention of several researchers around the
world. Different bot detection approaches have been proposed as a result of these research …