On the public citation graph

A Social Bots Detection Model Based on Deep Learning Algorithm

0 signed · 71 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s13278-014-0162-zopenalex-snapshot
Uncovering deception in social media
inferredcites →https://doi.org/10.1016/j.comcom.2013.04.004openalex-snapshot
A generic statistical approach for spam detection in Online Social Networks
inferredcites →https://doi.org/10.1016/j.ins.2013.11.016openalex-snapshot
Twitter spammer detection using data stream clustering
inferredcites →https://doi.org/10.1109/mis.2016.29openalex-snapshot
DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection
inferredcites →https://doi.org/10.1109/mis.2016.5openalex-snapshot
Suspicious Behavior Detection: Current Trends and Future Directions
inferredcites →https://doi.org/10.1109/tifs.2013.2267732openalex-snapshot
Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers
inferredcites →https://doi.org/10.1145/2818717openalex-snapshot
The rise of social bots
inferredcites →https://doi.org/10.1145/2872518.2889302openalex-snapshot
BotOrNot
inferredcites →https://doi.org/10.1145/3132847.3133050openalex-snapshot
Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information
inferredcites →https://doi.org/10.48550/arxiv.1701.03017openalex-snapshot
The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4665612openalex-extracted
Analyzing the Efficacy of Bot Detection Methods on Twitter/X
inferred← citeshttps://doi.org/10.1007/978-3-030-62005-9_13openalex-snapshot
Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine
inferred← citeshttps://doi.org/10.1007/978-3-030-87966-2_91openalex-snapshot
Data Crawling Approaches for User Discussion Analysis on Web 2.0 Platforms
inferred← citeshttps://doi.org/10.1007/978-3-031-43427-3_13openalex-snapshot
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-47946-5_11openalex-snapshot
The Spread of Fake News by Social Bots: Perspectives on Social Bot Regulation
inferred← citeshttps://doi.org/10.1007/978-981-95-9877-9_11openalex-snapshot
When AI Joins the Thread: A Computational Analysis of Gendered Human-AI Interactions on Weibo
inferred← citeshttps://doi.org/10.1007/978-981-99-2768-5_19openalex-snapshot
Comparative Analysis of Botnet Detection Techniques Using Machine Learning Classifier
inferred← citeshttps://doi.org/10.1007/978-981-99-8979-9_11openalex-snapshot
Detecting Social Robots Based on Multi-view Graph Transformer
inferred← citeshttps://doi.org/10.1007/s00521-023-08352-zopenalex-snapshot
Social media bot detection with deep learning methods: a systematic review
inferred← citeshttps://doi.org/10.1007/s13042-024-02392-0openalex-snapshot
GNNRI: detecting anomalous social network users through heterogeneous information networks and user relevance exploration
inferred← citeshttps://doi.org/10.1007/s13278-020-00713-zopenalex-snapshot
Leveraging node neighborhoods and egograph topology for better bot detection in social graphs
inferred← citeshttps://doi.org/10.1007/s13278-021-00800-9openalex-snapshot
GANBOT: a GAN-based framework for social bot detection
inferred← citeshttps://doi.org/10.1007/s13278-022-00897-6openalex-snapshot
T-Bot: AI-based social media bot detection model for trend-centric twitter network
inferred← citeshttps://doi.org/10.1007/s13278-022-01020-5openalex-snapshot
Machine learning-based social media bot detection: a comprehensive literature review
inferred← citeshttps://doi.org/10.1007/s44163-025-00448-wopenalex-snapshot
Challenges in machine learning-based social bot detection: a systematic review
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102250openalex-snapshot
Detection of Bots in Social Media: A Systematic Review
inferred← citeshttps://doi.org/10.1016/j.jksuci.2023.04.004openalex-snapshot
Systematic Literature Review of Social Media Bots Detection Systems
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106525openalex-snapshot
A novel framework for detecting social bots with deep neural networks and active learning
inferred← citeshttps://doi.org/10.1038/s41598-020-76814-8openalex-snapshot
Exploring the construction and infiltration strategies of social bots in sina microblog
inferred← citeshttps://doi.org/10.1038/s41598-024-54809-zopenalex-snapshot
SEGCN: a subgraph encoding based graph convolutional network model for social bot detection
inferred← citeshttps://doi.org/10.1080/01292986.2023.2261112openalex-snapshot
Theory and practice of agenda setting: understanding media, bot, and public agendas in the South Korean presidential election
inferred← citeshttps://doi.org/10.1080/03081079.2021.1976773openalex-snapshot
Malicious accounts detection from online social networks: a systematic review of literature
inferred← citeshttps://doi.org/10.1088/1742-6596/1732/1/012058openalex-snapshot
A Novel Aircraft Refueling Behavior Detection Model based on Deep Learning
inferred← citeshttps://doi.org/10.1109/aiei69164.2026.11497947openalex-snapshot
The Evolution of Social Bot Detection: A Comprehensive Survey of Methods, Datasets, and Emerging Challenges
inferred← citeshttps://doi.org/10.1109/camad.2019.8858439openalex-snapshot
Analysis of Growth Strategies in Social Media: The Instagram Use Case
inferred← citeshttps://doi.org/10.1109/compsac65507.2025.00040openalex-snapshot
Lightweight Early-Warning Bot Detection on X (Twitter): Temporal Patterns and Entropy Insights
inferred← citeshttps://doi.org/10.1109/globecom48099.2022.10001445openalex-snapshot
Social Robot Detection Using RoBERTa Classifier and Random Forest Regressor with Similarity Analysis
inferred← citeshttps://doi.org/10.1109/icaeccs56710.2023.10104646openalex-snapshot
Multi-input BiLSTM deep learning model for social bot detection
inferred← citeshttps://doi.org/10.1109/iccwamtip64812.2024.10873626openalex-snapshot
Twitter Bot Detection with Multi-Head Attention and Supervised Contrastive Learning
inferred← citeshttps://doi.org/10.1109/icds53782.2021.9626752openalex-snapshot
Word Embedding for Social Bot Detection Systems
inferred← citeshttps://doi.org/10.1109/icdsg67714.2025.11381310openalex-snapshot
Bot Detection on Twitter Using Neural Network
inferred← citeshttps://doi.org/10.1109/icecct56650.2023.10179751openalex-snapshot
Improving bot detection of fake followers on Twitter via a hybrid B-HC optimisation algorithm
inferred← citeshttps://doi.org/10.1109/icicict54557.2022.9917847openalex-snapshot
An Approach for P2P Based Botnet Detection Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icicos48119.2019.8982529openalex-snapshot
Twitter Buzzer Detection for Indonesian Presidential Election
inferred← citeshttps://doi.org/10.1109/tcss.2026.3682474openalex-snapshot
MB-HGTBot: Modeling Multitype Social Behaviors in Heterogeneous Graphs for Robust Twitter Bot Detection
inferred← citeshttps://doi.org/10.1109/tcss.2026.3695302openalex-snapshot
Behavior-Driven Detection of Social Bot Groups Through Coordination Patterns and Stance Consistency
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3347040openalex-snapshot
Accou2vec: A Social Bot Detection Model Based on Community Walk
inferred← citeshttps://doi.org/10.1109/tifs.2021.3102498openalex-snapshot
DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection
inferred← citeshttps://doi.org/10.1109/tifs.2023.3254429openalex-snapshot
Deep Learning Based Social Bot Detection on Twitter
inferred← citeshttps://doi.org/10.1109/tifs.2024.3435138openalex-snapshot
Multimodal Detection of Bots on X (Twitter) Using Transformers
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3600474openalex-snapshot
BotCF: Improving the Social Bot Detection Performance By Focusing on the Community Features
inferred← citeshttps://doi.org/10.1109/tqcebt59414.2024.10545292openalex-snapshot
Investigating Astroturfing Detection: An Overview of its Domains, Mitigation Techniques and Future Perspectives
inferred← citeshttps://doi.org/10.1109/uemcon59035.2023.10316169openalex-snapshot
Bots: Genuine or Malicious
inferred← citeshttps://doi.org/10.1109/wi-iat59888.2023.00075openalex-snapshot
Social Robot Detection on Short Video Platform Based on Random Forest and LDA Model
inferred← citeshttps://doi.org/10.1109/wi-iat62293.2024.00137openalex-snapshot
Social Robot Detection Based on LLM and LSTM-LDA Model
inferred← citeshttps://doi.org/10.1109/wiiat50758.2020.00146openalex-snapshot
A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN
inferred← citeshttps://doi.org/10.1145/3578741.3578790openalex-snapshot
A Method of Machine Learning for Social Bot Detection Combined with Sentiment Analysis
inferred← citeshttps://doi.org/10.1145/3709026.3709117openalex-snapshot
Social Robot Recognition Based on E-GraphCTAGE Model: Integration of Facial Expression And Multi-feature Processing
inferred← citeshttps://doi.org/10.1155/2022/9119388openalex-snapshot
A New Joint Approach with Temporal and Profile Information for Social Bot Detection
inferred← citeshttps://doi.org/10.1177/21582440241248891openalex-snapshot
RETRACTED: Who Leads? Who Follows? Exploring Agenda Setting by Media, Social Bots and Public in the Discussion of the 2022 South Korean Presidential Election
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3023846/v1openalex-snapshot
Who Leads? Who Follows? Exploring Agenda Setting by Media, Social Bots and Public in the Discussion of 2022 South Korea Presidential Election
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4223128/v1openalex-snapshot
A Social Bot Recognition Method Combing Emojis Information
inferred← citeshttps://doi.org/10.23919/jsc.2025.0017openalex-snapshot
Evolution of Malicious Social Bot Detection: From Individual Profiling to Group Analysis and Beyond
inferred← citeshttps://doi.org/10.31274/td-20240617-105openalex-snapshot
Social bots
inferred← citeshttps://doi.org/10.3390/app15073898openalex-snapshot
From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X
inferred← citeshttps://doi.org/10.3390/electronics12102298openalex-snapshot
MRLBot: Multi-Dimensional Representation Learning for Social Media Bot Detection
inferred← citeshttps://doi.org/10.3390/sym14010030openalex-snapshot
Social Bots Detection via Fusing BERT and Graph Convolutional Networks
inferred← citeshttps://doi.org/10.4114/intartif.vol25iss69pp57-86openalex-snapshot
Feature extractions and selection of bot detection on Twitter A systematic literature review
inferred← citeshttps://doi.org/10.48175/ijarsct-3642openalex-snapshot
Detection of Malicious Social Boats Using Learning Automata with URL Feature
inferred← citeshttps://doi.org/10.55606/juitik.v3i1.363openalex-snapshot
KLASIFIKASI AKUN BUZZER PADA TWITTER MENGGUNAKAN ALGORITMA NAIVE BAYES
inferred← citeshttps://doi.org/10.55730/1300-0632.3848openalex-snapshot
Evaluation of social bot detection models
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.