{"total":64,"rows":[{"id":"2306.12001","title":"An Overview of Catastrophic AI Risks","created":"2023-06-21","cited_by_count":222,"area":null},{"id":"2109.13296","title":"TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation","created":"2021-09-27","cited_by_count":120,"area":null},{"id":"2103.00484","title":"Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward","created":"2021-02-25","cited_by_count":82,"area":null},{"id":"2206.04564","title":"TwiBot-22: Towards Graph-Based Twitter Bot Detection","created":"2022-06-09","cited_by_count":44,"area":null},{"id":"2210.10488","title":"Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective","created":"2022-10-19","cited_by_count":41,"area":null},{"id":"2309.03992","title":"ConDA: Contrastive Domain Adaptation for AI-generated Text Detection","created":"2023-09-07","cited_by_count":37,"area":null},{"id":"2307.16336","title":"Anatomy of an AI-powered malicious social botnet","created":"2023-07-30","cited_by_count":36,"area":null},{"id":"2206.06757","title":"RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search","created":"2022-06-14","cited_by_count":17,"area":null},{"id":"2301.01123","title":"MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark","created":"2023-01-03","cited_by_count":16,"area":null},{"id":"2303.07113","title":"FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection","created":"2023-03-10","cited_by_count":12,"area":"distill"},{"id":"2410.22318","title":"Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting","created":"2024-10-29","cited_by_count":11,"area":null},{"id":"2312.08098","title":"Adversarial Socialbots Modeling Based on Structural Information Principles","created":"2023-12-13","cited_by_count":10,"area":null},{"id":"2404.15070","title":"BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers","created":"2024-04-23","cited_by_count":10,"area":null},{"id":"2602.07432","title":"The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societies","created":"2026-02-07","cited_by_count":10,"area":null},{"id":"2402.07940","title":"LLMs Among Us: Generative AI Participating in Digital Discourse","created":"2024-02-08","cited_by_count":9,"area":null},{"id":"2303.17251","title":"Demystifying Misconceptions in Social Bots Research","created":"2023-03-30","cited_by_count":7,"area":null},{"id":"2109.07909","title":"Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language","created":"2021-09-13","cited_by_count":6,"area":null},{"id":"2302.12952","title":"Robust language-based mental health assessments in time and space through social media","created":"2023-02-25","cited_by_count":5,"area":null},{"id":"2401.03988","title":"A Primer on Temporal Graph Learning","created":"2024-01-08","cited_by_count":5,"area":null},{"id":"2605.07069","title":"Social Theory Should Be a Structural Prior for Agentic AI: A Formal Framework for Multi-Agent Social Systems","created":"2026-05-08","cited_by_count":5,"area":"agents"},{"id":"2101.09345","title":"BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets","created":"2021-01-22","cited_by_count":4,"area":null},{"id":"2506.00989","title":"Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery","created":"2025-06-01","cited_by_count":4,"area":null},{"id":"2112.04913","title":"Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study","created":"2021-12-08","cited_by_count":3,"area":null},{"id":"2209.10361","title":"MulBot: Unsupervised Bot Detection Based on Multivariate Time Series","created":"2022-09-21","cited_by_count":3,"area":null},{"id":"2308.12497","title":"False Information, Bots and Malicious Campaigns: Demystifying Elements of Social Media Manipulations","created":"2023-08-24","cited_by_count":3,"area":null},{"id":"2404.09481","title":"SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection","created":"2024-04-15","cited_by_count":3,"area":null},{"id":"2507.12372","title":"Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics","created":"2025-07-16","cited_by_count":3,"area":null},{"id":"2203.11486","title":"Approaches for Improving the Performance of Fake News Detection in Bangla: Imbalance Handling and Model Stacking","created":"2022-03-22","cited_by_count":2,"area":null},{"id":"2307.12788","title":"Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine","created":"2023-07-24","cited_by_count":2,"area":"offlinerl"},{"id":"2308.05353","title":"Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers","created":"2023-08-10","cited_by_count":2,"area":null},{"id":"2312.11553","title":"SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter","created":"2023-12-17","cited_by_count":2,"area":null},{"id":"2407.13929","title":"Unmasking Social Bots: How Confident Are We?","created":"2024-07-18","cited_by_count":2,"area":null},{"id":"2410.21453","title":"Inverting Gradient Attacks Makes Powerful Data Poisoning","created":"2024-10-28","cited_by_count":2,"area":"safety"},{"id":"2506.19635","title":"On the efficacy of old features for the detection of new bots","created":"2025-06-24","cited_by_count":2,"area":null},{"id":"2511.03915","title":"The Human Flourishing Geographic Index: A County-Level Dataset for the United States, 2013--2023","created":"2025-11-05","cited_by_count":2,"area":null},{"id":"2604.02147","title":"TRACE-Bot: Detecting Emerging LLM-Driven Social Bots via Implicit Semantic Representations and AIGC-Enhanced Behavioral Patterns","created":"2026-04-02","cited_by_count":2,"area":null},{"id":"2104.06182","title":"Understanding Transformers for Bot Detection in Twitter","created":"2021-04-13","cited_by_count":1,"area":"mechinterp"},{"id":"2104.13094","title":"Detection of Fake Users in SMPs Using NLP and Graph Embeddings","created":"2021-04-27","cited_by_count":1,"area":null},{"id":"2204.07436","title":"Political Communities on Twitter: Case Study of the 2022 French Presidential Election","created":"2022-04-15","cited_by_count":1,"area":null},{"id":"2512.16103","title":"AIMM: An AI-Driven Multimodal Framework for Detecting Social-Media-Influenced Stock Market Manipulation","created":"2025-12-18","cited_by_count":1,"area":null},{"id":"2602.00318","title":"Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2602.21749","title":"RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2604.10678","title":"FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation","created":"2026-04-12","cited_by_count":1,"area":null},{"id":"2202.07075","title":"Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal","created":"2022-02-14","cited_by_count":0,"area":null},{"id":"2209.02911","title":"Social Media Engagement and Cryptocurrency Performance","created":"2022-09-07","cited_by_count":0,"area":null},{"id":"2301.00626","title":"Design and analysis of tweet-based election models for the 2021 Mexican legislative election","created":"2023-01-02","cited_by_count":0,"area":null},{"id":"2306.00037","title":"BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline","created":"2023-05-31","cited_by_count":0,"area":null},{"id":"2308.15154","title":"The Anatomy of Conspirators: Unveiling Traits using a Comprehensive Twitter Dataset","created":"2023-08-29","cited_by_count":0,"area":null},{"id":"2310.19819","title":"Machine Learning and Knowledge: Why Robustness Matters","created":"2023-10-23","cited_by_count":0,"area":null},{"id":"2311.05079","title":"Social Media Bot Detection using Dropout-GAN","created":"2023-11-09","cited_by_count":0,"area":null},{"id":"2402.03740","title":"BotSSCL: Social Bot Detection with Self-Supervised Contrastive Learning","created":"2024-02-06","cited_by_count":0,"area":null},{"id":"2405.02016","title":"Adversarial Botometer: Adversarial Analysis for Social Bot Detection","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2409.02965","title":"Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations","created":"2024-09-04","cited_by_count":0,"area":null},{"id":"2511.01550","title":"Analyzing Sustainability Messaging in Large-Scale Corporate Social Media","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2512.17067","title":"Bots Don't Sit Still: A Longitudinal Study of Bot Behaviour Change, Temporal Drift, and Feature-Structure Evolution","created":"2025-12-18","cited_by_count":0,"area":null},{"id":"2512.18077","title":"Characterising Behavioural Families and Dynamics of Promotional Twitter Bots via Sequence-Based Modelling","created":"2025-12-19","cited_by_count":0,"area":null},{"id":"2602.02838","title":"Beyond Content: Behavioral Policies Reveal Actors in Information Operations","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.04546","title":"Unmasking Superspreaders: Data-Driven Approaches for Identifying and Comparing Key Influencers of Conspiracy Theories on X.com","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2605.12856","title":"Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.19915","title":"LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research Directions","created":"2026-05-19","cited_by_count":0,"area":"agents"},{"id":"2605.30166","title":"SAHG: Sector-Anisotropic Hyperbolic Graph Model for Social Bot Detection","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2606.07219","title":"Adversarial Creation and Detection of AI-Generated Social Bot Content","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2608.15691","title":"BERTopic-Virality Prioritisation: A Scalable Framework for Thematic and Comparative Analysis of COVID-19 and Monkeypox Misinformation on Twitter","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2609.23320","title":"CSC: Calibrated Simplicity for Conflict-Aware Social Bot Detection in the LLM Era","created":"2026-09-20","cited_by_count":0,"area":null}],"next_cursor":null}