Results 61 to 70 of about 14,489,921 (146)

Prevention Is Better than Cure: Exposing the Vulnerabilities of Social Bot Detectors with Realistic Simulations

Applied Sciences
The evolution of social bots, i.e., accounts on social media platforms controlled by malicious software, is making them increasingly more challenging to discover.
Rui Jin, Yong Liao
doaj   +1 more source

Breaking and Defending LLM-Powered Social Media Bot Detection Systems †

The rise of social media bots poses a persistent threat, enabling misinformation, public opinion manipulation, and erosion of trust in online platforms.
Nof Orenstein, Yoni Birman
core   +1 more source

Fine-Tuned Understanding: Enhancing Social Bot Detection With Transformer-Based Classification

IEEE Access
In recent years, the proliferation of online communication platforms and social media has given rise to a new wave of challenges, including the rapid spread of malicious bots. These bots, often programmed to impersonate human users, can infiltrate online
Amine Sallah, El Arbi Abdellaoui Alaoui, Said Agoujil, Mudasir Ahmad Wani, Mohamed Hammad, Yassine Maleh, Ahmed A. Abd El-Latif   +6 more
doaj   +1 more source

Cerberus: cross-site social bot detection system based on deep learning

智能科学与技术学报
Social networking sites have attracted billions of users and influence people's lifestyles. However, as open platform with low requirements for registration and joining, it is inevitable that social bots are able to easily register and do harmful things ...
TANG Jiawei, LIU Yushan, GAO Min, GONG Qingyuan, WANG Xin, CHEN Yang   +5 more
doaj  

ocial bot detection based on active learning and relational graph convolutional neural networks

四川大学学报. 自然科学版, 2023
Social bots have been evolving over time, and they have become more advanced and sophisticated while avoiding existing detection methods. This has made some of the original social bot detection methods no longer superior and detecting social bots has ...
XU Kai-Yuan, ZHOU An-Min, CHEN Ai-Lin, DAI Jin-Qiao, JIA Peng   +4 more
doaj  

FediScan: Collaborative Social Bot Detection in the Fediverse

Publisher Copyright: © 2026 Owner/Author.The growing concern for data privacy and user autonomy has led to the rise of decentralized online social networks, such as Mastodon.
Wen, Wen, Duan, Qiang, Xiao, Yu, Du, Haoran, Li, Yupeng, Wang, Xin, Chen, Yang, Hui, Pan, Gao, Min   +8 more
core   +1 more source

Enhancing Social Media User’s Trust: A Comprehensive Framework for Detecting Malicious Profiles Using Multi-Dimensional Analytics

IEEE Access
Information transparency, user privacy, and digital security are significantly vulnerable to the proliferation of counterfeit bot accounts on OSN. Traditional methods for distinguishing these accounts archetypally depend on an inadequate set of features,
Sailaja Terumalasetti, S. R. Reeja
doaj   +1 more source

Social Bot Detection

, 2023
Social bots on Twitter are accounts controlled by software that can manipulate opinions in important events such as elections. In order to detect these bots, we want to achieve both scalability and generalizability, to enable faster real-time detection ...
Linton, Emanuel, Smith-Erb, Matthew, Li, Katrina, Guang, Cathy   +3 more
core   +1 more source

A practical approach to uncover social bots’ activity

, 2020
Nowadays, the Internet has become the main, daily source of information formany people worldwide in the form of applications that simulate our society, theso-called social networks.
Μπερδέκας, Δημήτρης
core  

My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection

, 2023
Social platforms such as Twitter are under siege from a multitude of fraudulent users. In response, social bot detection tasks have been developed to identify such fake users.
Nie, Weizhi, Wang, Lanjun, Zhang, Yongdong, Liu, Anan, Xie, Yanwei, Qiao, Xinran   +5 more
core