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Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/sec.1052openalex-snapshot
BotCatch: leveraging signature and behavior for bot detection
inferredcites →https://doi.org/10.1016/0191-8869(94)90209-7openalex-snapshot
Circadian typology and individual differences. A review
inferredcites →https://doi.org/10.1016/j.comnet.2012.06.006openalex-snapshot
Design and analysis of a social botnet
inferredcites →https://doi.org/10.1016/j.eswa.2012.12.015openalex-snapshot
Detecting malicious tweets in trending topics using a statistical analysis of language
inferredcites →https://doi.org/10.1109/asonam.2014.6921650openalex-snapshot
Using sentiment to detect bots on Twitter: Are humans more opinionated than bots?
inferredcites →https://doi.org/10.1145/1851182.1851226openalex-snapshot
An analysis of social network-based Sybil defenses
inferredcites →https://doi.org/10.1145/1851275.1851226openalex-snapshot
An analysis of social network-based Sybil defenses
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Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter
inferredcites →https://doi.org/10.48550/arxiv.1212.5701openalex-snapshot
ADADELTA: An Adaptive Learning Rate Method
inferredcites →https://doi.org/10.5555/3192424.3192525openalex-snapshot
A new approach to bot detection: striking the balance between precision and recall
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Analyzing the Efficacy of Bot Detection Methods on Twitter/X
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Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine
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Detecting Automatically Managed Accounts in Online Social Networks: Graph Embeddings Approach
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$$T^3N$$: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter
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A Comprehensive Approach to Misinformation Analysis and Detection of Low-Credibility News
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A Social Bot Detection Method Using Multi-features Fusion and Model Optimization Strategy
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Detecting Social Robots Based on Multi-view Graph Transformer
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Combating multimodal fake news on social media: methods, datasets, and future perspective
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BotICC: enhancing social bot detection through implicit connection computation
inferred← citeshttps://doi.org/10.1007/s11280-020-00829-4openalex-snapshot
Let’s CoRank: trust of users and tweets on social networks
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Social media bot detection using Dropout-GAN
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
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GANBOT: a GAN-based framework for social bot detection
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/10.1016/j.engappai.2024.108801openalex-snapshot
Performance evaluation of lightweight network-based bot detection using mouse movements
inferred← citeshttps://doi.org/10.1016/j.future.2021.01.006openalex-snapshot
Early detection of cyberbullying on social media networks
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/10.1109/icct.2018.8600029openalex-snapshot
A Social Bots Detection Model Based on Deep Learning Algorithm
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191222openalex-snapshot
A Multi-Modal Approach for the Detection of Account Anonymity on Social Media Platforms
inferred← citeshttps://doi.org/10.1109/isi.2019.8823341openalex-snapshot
Capturing Deep Dynamic Information for Mapping Users across Social Networks
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AI-based MultiModal to Identify State-linked Social Media Accounts in the Middle East: A Study on Twitter
inferred← citeshttps://doi.org/10.1109/mis.2020.3045001openalex-snapshot
CoTrRank: Trust Ranking on Twitter
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Attribution Across Cyber Attack Types: Network Intrusions and Information Operations
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Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking
inferred← citeshttps://doi.org/10.1109/tcss.2024.3396413openalex-snapshot
CGNN: A Compatibility-Aware Graph Neural Network for Social Media Bot Detection
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.2024.3435138openalex-snapshot
Multimodal Detection of Bots on X (Twitter) Using Transformers
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3396192openalex-snapshot
Dispelling the Fake: Social Bot Detection Based on Edge Confidence Evaluation
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/10.1145/3466933.3466991openalex-snapshot
Social bots detection in Brazilian presidential elections using natural language processing
inferred← citeshttps://doi.org/10.1145/3581783.3612396openalex-snapshot
My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection
inferred← citeshttps://doi.org/10.1145/3583780.3615038openalex-snapshot
Robust Graph Clustering via Meta Weighting for Noisy Graphs
inferred← citeshttps://doi.org/10.1145/3584871.3584873openalex-snapshot
How to Find Social Robots exactly?
inferred← citeshttps://doi.org/10.1145/3618257.3624822openalex-snapshot
Evolving Bots: The New Generation of Comment Bots and their Underlying Scam Campaigns in YouTube
inferred← citeshttps://doi.org/10.1145/3653709openalex-snapshot
Networks and Influencers in Online Propaganda Events: A Comparative Study of Three Cases in India
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/10.18653/v1/2023.findings-emnlp.954openalex-snapshot
BotPercent: Estimating Bot Populations in Twitter Communities
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/10.24963/ijcai.2020/672openalex-snapshot
A Survey on Computational Propaganda Detection
inferred← citeshttps://doi.org/10.26615/978-954-452-056-4_065openalex-snapshot
Language-Agnostic Twitter Bot Detection
inferred← citeshttps://doi.org/10.31979/etd.j2wj-qnv8openalex-snapshot
Social Media Bot Detection using Dropout-GAN
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/electronics13010056openalex-snapshot
SqueezeGCN: Adaptive Neighborhood Aggregation with Squeeze Module for Twitter Bot Detection Based on GCN
inferred← citeshttps://doi.org/10.48550/arxiv.1812.00315openalex-snapshot
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
inferred← citeshttps://doi.org/10.48550/arxiv.1904.05132openalex-snapshot
Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection
inferred← citeshttps://doi.org/10.5753/isys.2022.2225openalex-snapshot
Comparison of natural language processing techniques in social bot detection on Twitter during Brazilian presidential elections
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Multimodal misinformation detection overcoming the training data collection challenge through data generation
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