Papers

Research papers ingested into the wiki — surveys, methods, datasets, position pieces.

299 pages in this section.

• Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time · 2026 · ACM Conference
• Beyond Speculation: Measuring the Growing Presence of LLM-Generated Texts · 2026 · IEEE Computer
• Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation · 2026 · arXiv cs.SI
• From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation · 2026 · ACM International Conference
• Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation · 2026 · ACM Web Conference 2026 (WWW Companion '26)
• MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection · 2026 · arXiv
• Modeling Duelling Contagions of True and False Information in the Face of Inherent · 2026 · arXiv
• Network Information Enhances Unreliable News Domain Detection · 2026 · arXiv cs.SI
• Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection · 2026 · World Wide Web Conference (WWW)
• Quantifying Political Partisanship for Cross-Platform Analyses · 2026 · arXiv cs.SI
• Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal · 2026 · ICLR 2026
• Spectral Analysis of Fake News Propagation · 2026 · SIAM
• The GenAI Catch-22: Use of Generative Artificial Intelligence in Norwegian · 2026 · arXiv cs.CY
• The Paradigm Shift: A Comprehensive Survey on Large Vision Language Models · 2026 · arXiv preprint
• What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal · 2026 · arXiv
• Your AI Text is not Mine'': Redefining and Evaluating AI-generated Text · 2026 · arXiv preprint
• A Decision-Based Heterogeneous Graph Attention Network for Multi-Class Fake · 2025 · arXiv preprint
• A Guide to Misinformation Detection Data and Evaluation · 2025 · KDD '25 \u2014 31st ACM SIGKDD Conference on Knowledge Discovery and Data\
• Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for · 2025 · CIKM (The 34th ACM International Conference on Information and Knowledge Management)
• Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis · 2025 · arXiv preprint
• Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence · 2025 · arXiv preprint
• E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification · 2025 · SCID '25 (2nd Workshop on Security-Centric Strategies for Combating Information
• Is Less Really More? Fake News Detection with Limited Information · 2025 · arXiv preprint (cs.IR)
• Neighborhood-Order Learning Graph Attention Network for Fake News Detection · 2025 · arXiv preprint
• SINcon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor · 2025 · arXiv preprint
• Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection · 2025 · arXiv preprint
• VLDBench: Evaluating Multimodal Disinformation with Regulatory Alignment · 2025 · arXiv
• Advancing Graph Representation Learning with Large Language Models: A Comprehensive · 2024 · arXiv
• Can LLM-Generated Misinformation Be Detected? · 2024 · ICLR 2024
• Controlled Change · 2024
• DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection · 2024 · arXiv
• Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection · 2024 · arXiv
• From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake · 2024 · arXiv
• Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data · 2024 · arXiv
• Measuring Political Bias in Large Language Models: What Is Said and How It · 2024 · arXiv
• RAIDAR: Generative AI Detection via Rewriting · 2024 · ICLR
• TELLER: A Trustworthy Framework For Explainable, Generalizable and Controllable · 2024 · arXiv preprint
• 3HAN: A Deep Neural Network for Fake News Detection · 2023 · arXiv
• A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative · 2023 · J. ACM, Vol. 37, No. 4
• A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, · 2023 · ACM Computing Surveys
• A Survey of Large Language Models · 2023 · arXiv
• A Survey on Evaluation of Large Language Models · 2023 · Journal of the ACM
• A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions · 2023 · arXiv
• A Watermark for Large Language Models · 2023 · arXiv preprint
• Adapting Fake News Detection to the Era of Large Language Models · 2023 · arXiv
• Can AI-Generated Text be Reliably Detected? · 2023 · arXiv
• Combating Misinformation in the Age of LLMs: Opportunities and Challenges · 2023 · arXiv
• DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature · 2023 · Proceedings of the 40th International Conference on Machine Learning (PMLR
• Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective · 2023 · ACM Publication
• Disinformation Capabilities of Large Language Models · 2023 · arXiv
• Engagement, User Satisfaction, and the Amplification of Divisive Content on · 2023 · arXiv
• Explainable Claim Verification via Knowledge-Grounded Reasoning with Large · 2023 · arXiv
• FLIRT: Feedback Loop In-context Red Teaming · 2023 · arXiv preprint
• Generative Language Models and Automated Influence Operations: Emerging Threats · 2023 · arXiv
• How Do Large Language Models Capture the Ever-changing World Knowledge? A Review · 2023 · arXiv
• Jailbroken: How Does LLM Safety Training Fail? · 2023 · arXiv
• Linguistic-style-aware Neural Networks for Fake News Detection · 2023 · arXiv preprint
• On the Risk of Misinformation Pollution with Large Language Models · 2023 · arXiv
• Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection · 2023 · arXiv preprint
• Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity · 2023 · arXiv
• The Amplification Paradox in Recommender Systems · 2023 · ICWSM (International Conference on Web and Social Media)
• The Evolution of Distributed Systems for Graph Neural Networks and their Origin · 2023 · ArXiv
• The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges · 2023 · 3rd ACM Conference on Hypertext and Social Media (HT '23)
• The Perils & Promises of Fact-checking with Large Language Models · 2023 · arXiv
• The Science of Detecting LLM-Generated Texts · 2023 · arXiv
• Toxicity in ChatGPT: Analyzing Persona-assigned Language Models · 2023 · arXiv
• Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models · 2023 · ArXiv
• Universal and Transferable Adversarial Attacks on Aligned Language Models · 2023 · ArXiv
• A Comprehensive Survey on Trustworthy Recommender Systems · 2022 · ACM Computing Surveys (to appear)
• Atlas: Few-shot Learning with Retrieval Augmented Language Models · 2022 · arXiv
• Botometer 101: Social bot practicum for computational social scientists · 2022 · arXiv
• Causal Machine Learning: A Survey and Open Problems · 2022 · arXiv
• Deepfake Detection: A Systematic Literature Review · 2022 · IEEE Access
• Discovering Language Model Behaviors with Model-Written Evaluations · 2022
• Discovering Latent Knowledge in Language Models Without Supervision · 2022 · arXiv preprint
• Examining the consumption of radical content on YouTube · 2022 · Proceedings of the National Academy of Sciences
• NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation · 2022 · arXiv
• Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between · 2022 · arXiv
• Red Teaming Language Models with Language Models · 2022 · arXiv
• Right-Wing YouTube: A Supply and Demand Perspective · 2022 · The International Journal of Press/Politics
• Survey of Hallucination in Natural Language Generation · 2022 · ACM Computing Surveys
• The psychological drivers of misinformation belief and its resistance to correction · 2022 · Nature Reviews Psychology
• Toxicity Detection with Generative Prompt-based Inference · 2022 · arXiv
• A General Language Assistant as a Laboratory for Alignment · 2021 · arXiv
• A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection · 2021 · arXiv preprint
• A Survey of Information Cascade Analysis: Models, Predictions, and Recent · 2021 · ACM Computing Surveys
• A Survey on Multimodal Disinformation Detection · 2021 · arXiv
• A Survey on Predicting the Factuality and the Bias of News Media · 2021 · arXiv
• A Survey on Stance Detection for Mis- and Disinformation Identification · 2021 · arXiv
• All That''s ''Human'' Is Not Gold: Evaluating Human Evaluation of Generated · 2021 · arXiv
• Assessing the Quality of the Datasets by Identifying Mislabeled Samples · 2021 · arXiv
• Belief Evolution Network-based Probability Transformation and Fusion · 2021 · arXiv preprint
• Causal Understanding of Fake News Dissemination on Social Media · 2021 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• Cognitive reflection correlates with behavior on Twitter · 2021 · Nature Communications
• Cross-lingual COVID-19 Fake News Detection · 2021 · arXiv
• DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection · 2021 · IEEE/ACM International Conference on Advances in Social Networks Analysis and
• Does Media Literacy Help Identification of Fake News? Information Literacy · 2021 · American Behavioral Scientist
• Embracing Domain Differences in Fake News: Cross-domain Fake News Detection · 2021 · AAAI 2021
• Examining the consumption of radical content on YouTube · 2021 · PNAS (Proceedings of the National Academy of Sciences)
• FakeBERT: Fake News Detection in Social Media with a BERT-based Deep Learning · 2021 · Multimedia Tools and Applications
• Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection · 2021 · arXiv
• KAN: Knowledge-aware Attention Network for Fake News Detection · 2021 · AAAI 2021
• MDFEND: Multi-domain Fake News Detection · 2021 · CIKM ''21: The 30th ACM International Conference on Information and Knowledge
• Misinformation Detection on YouTube Using Video Captions · 2021 · arXiv
• Multimodal Emergent Fake News Detection via Meta Neural Process Networks · 2021 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• News literacy, social media behaviors, and skepticism toward information on · 2021 · Information, Communication & Society
• On the Opportunities and Risks of Foundation Models · 2021 · arXiv:2108.07258
• Perceived and Intended Sarcasm Detection with Graph Attention Networks · 2021 · arXiv
• Prevalence of Health Misinformation on Social Media: Systematic Review · 2021 · Journal of Medical Internet Research
• Prevalence of Health Misinformation on Social Media: Systematic Review · 2021 · Journal of Medical Internet Research
• Shared partisanship dramatically increases social tie formation in a Twitter · 2021 · Proceedings of the National Academy of Sciences (PNAS)
• Shifting attention to accuracy can reduce misinformation online · 2021 · Nature
• Shifting attention to accuracy can reduce misinformation online · 2021 · Nature
• The echo chamber effect on social media · 2021 · Proceedings of the National Academy of Sciences (PNAS)
• The Gospel According to Q: Understanding the QAnon Conspiracy from the Perspective · 2021 · Proceedings of the 16th International AAAI Conference on Web and Social Media
• The Threat of Offensive AI to Organizations · 2021 · ACM Computing Surveys
• Towards Fine-Grained Reasoning for Fake News Detection · 2021 · ACL
• Truthful AI: Developing and Governing AI That Does Not Lie · 2021 · arXiv preprint
• TruthfulQA: Measuring How Models Mimic Human Falsehoods · 2021 · arXiv preprint
• User Preference-aware Fake News Detection · 2021 · SIGIR 2021
• A Decade of Social Bot Detection · 2020 · Communications of the ACM
• A digital media literacy intervention increases discernment between mainstream · 2020 · PNAS (Proceedings of the National Academy of Sciences)
• A large-scale COVID-19 Twitter chatter dataset for open scientific research · 2020 · arXiv
• A Multi-Modal Method for Satire Detection using Textual and Visual Cues · 2020 · arXiv
• A Picture Paints a Thousand Lies? The Effects and Mechanisms of Multimodal · 2020 · Political Communication
• A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities · 2020 · ACM Computing Surveys
• A Survey of the State of Explainable AI for Natural Language Processing · 2020 · arXiv
• A Survey on Computational Propaganda Detection · 2020 · arXiv
• A Survey on Natural Language Processing for Fake News Detection · 2020 · arXiv
• Assessing the Russian Internet Research Agency's impact on the political attitudes · 2020 · Proceedings of the National Academy of Sciences (PNAS)
• Causes and consequences of mainstream media dissemination of fake news: literature · 2020 · Annals of the International Communication Association
• Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset · 2020 · arXiv
• CHECKED: Chinese COVID-19 Fake News Dataset · 2020 · arXiv preprint
• CoAID: COVID-19 Healthcare Misinformation Dataset · 2020 · arXiv preprint
• Cross-Platform State Propaganda: Russian Trolls on Twitter and YouTube during · 2020 · The International Journal of Press/Politics
• DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection · 2020 · arXiv
• Deepfakes and Disinformation: Exploring the Impact of Synthetic Political · 2020 · Social Media + Society
• Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News · 2020 · arXiv
• Detection of Novel Social Bots by Ensembles of Specialized Classifiers · 2020 · arXiv
• Evaluating the fake news problem at the scale of the information ecosystem · 2020 · Science Advances
• Fact-checking as risk communication: the multi-layered risk of misinformation · 2020 · Journal of Risk Research
• Fact-Checking: A Meta-Analysis of What Works and for Whom · 2020 · Political Communication
• Fake News Early Detection: An Interdisciplinary Study · 2020 · ACM
• Fighting an Infodemic: COVID-19 Fake News Dataset · 2020 · Springer (FIRE 2020)
• Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for · 2020 · Psychological Science
• GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection · 2020 · arXiv
• Inoculating Against Fake News About COVID-19 · 2020 · Frontiers in Psychology
• It takes a village to manipulate the media: coordinated link sharing behavior · 2020 · Information, Communication & Society
• Language Models are Few-Shot Learners · 2020 · NeurIPS 2020
• Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements · 2020 · Book chapter (Springer)
• Misinformation and Morality: Encountering Fake-News Headlines Makes Them Seem · 2020 · Psychological Science
• Misinformation Has High Perplexity · 2020 · arXiv
• MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 · 2020 · arXiv
• Online misinformation about climate change · 2020 · WIREs Climate Change
• ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research · 2020 · CIKM '20 (29th ACM International Conference on Information and Knowledge Management)
• Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks · 2020 · AAAI 2020
• SAFE: Similarity-Aware Multi-Modal Fake News Detection · 2020 · arXiv preprint
• Social media and vaccine hesitancy · 2020 · BMJ Global Health
• Susceptibility to misinformation about COVID-19 around the world · 2020 · Royal Society Open Science
• TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial · 2020 · arXiv
• The COVID-19 Social Media Infodemic · 2020 · arXiv preprint
• The Creation and Detection of Deepfakes: A Survey · 2020 · ACM Computing Surveys
• The DeepFake Detection Challenge (DFDC) Dataset · 2020 · CVPR 2020 (submitted as arXiv preprint)
• Troll Factories: Manufacturing Specialized Disinformation on Twitter · 2020 · Political Communication
• TweepFake: about detecting deepfake tweets · 2020 · arXiv
• What Was Written vs. Who Read It: News Media Profiling Using Text Analysis · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational
• Where Are the Facts? Searching for Fact-checked Information to Alleviate the · 2020 · arXiv preprint
• A Benchmark Study of Machine Learning Models for Online Fake News Detection · 2019 · arXiv
• A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking · 2019 · arXiv preprint
• A Study of Misinformation in WhatsApp groups with a focus on the Brazilian · 2019 · The Web Conference (WWW '19)
• Arming the public with artificial intelligence to counter social bots · 2019 · arXiv
• Auditing Radicalization Pathways on YouTube · 2019 · Proceedings of the ACM 2020 Conference on Fairness, Accountability, and Transparency
• Automatic Detection of Generated Text is Easiest when Humans are Fooled · 2019 · arXiv
• Better Safe Than Sorry: an Adversarial Approach to improve Social Bot Detection · 2019 · ACM Web Science Conference (WebSci)
• Beyond News Contents: The Role of Social Context for Fake News Detection · 2019 · ACM International Conference on Web Search and Data Mining (WSDM)
• Characterizing the Use of Images in State-Sponsored Information Warfare Operations · 2019 · AAAI Conference on Web and Social Media
• Cognitive attraction and online misinformation · 2019 · Palgrave Communications
• Coordinating a Multi-Platform Disinformation Campaign: Internet Research Agency · 2019 · Political Communication
• Credibility-based Fake News Detection · 2019 · arXiv preprint
• dEFEND: Explainable Fake News Detection · 2019 · KDD 2019
• Defending Against Neural Fake News · 2019 · NeurIPS (Neural Information Processing Systems)
• FaceForensics++: Learning to Detect Manipulated Facial Images · 2019 · arXiv preprint
• Fake News Detection on Social Media using Geometric Deep Learning · 2019 · arXiv
• Fake news game confers psychological resistance against online misinformation · 2019 · Palgrave Communications
• Fake news on Twitter during the 2016 U.S. presidential election · 2019 · Science
• Fake News: Fundamental Theories, Detection Strategies and Challenges · 2019 · WSDM '19
• FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
• Fighting Misperceptions and Doubting Journalists'' Objectivity: A Review of · 2019 · Political Studies Review
• Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection · 2019 · NLP4IF Workshop at EMNLP-IJCNLP
• Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models · 2019 · arXiv
• GLTR: Statistical Detection and Visualization of Generated Text · 2019 · arXiv
• Hierarchical Propagation Networks for Fake News Detection: Investigation and · 2019 · AAAI (Association for the Advancement of Artificial Intelligence)
• How Many People Live in Political Bubbles on Social Media? Evidence From Linked · 2019 · SAGE Open
• Learning Hierarchical Discourse-level Structure for Fake News Detection · 2019 · arXiv
• Less than you think: Prevalence and predictors of fake news dissemination · 2019 · Science Advances
• Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and · 2019 · arXiv
• MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking · 2019 · arXiv preprint
• MVAE: Multimodal Variational Autoencoder for Fake News Detection · 2019 · World Wide Web Conference (WWW)
• NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation · 2019 · arXiv
• Network-based Fake News Detection: A Pattern-driven Approach · 2019 · arXiv preprint
• Predicting the Type and Target of Offensive Posts in Social Media · 2019 · Proceedings of NAACL
• r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News · 2019 · arXiv
• Recurrent Convolutional Strategies for Face Manipulation Detection in Videos · 2019 · arXiv
• Release Strategies and the Social Impacts of Language Models · 2019 · OpenAI Report
• RoBERTa: A Robustly Optimized BERT Pretraining Approach · 2019 · arXiv
• RumourEval 2019: Determining Rumour Veracity and Support for Rumours · 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019)
• Scalable and Generalizable Social Bot Detection through Data Selection · 2019 · arXiv
• SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social · 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval)
• Social Media for Political Campaigns: An Examination of Trump''s and Clinton''s · 2019 · Social Media + Society
• The platform governance triangle: conceptualising the informal regulation · 2019 · Internet Policy Review
• The Role of User Profiles for Fake News Detection · 2019 · arXiv preprint
• Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational
• A Deep Learning Approach for Multimodal Deception Detection · 2018 · arXiv
• All-in-one: Multi-task Learning for Rumour Verification · 2018 · arXiv
• Anatomy of an online misinformation network · 2018 · arXiv
• Automated identification of media bias in news articles: an interdisciplinary · 2018 · International Journal on Digital Libraries
• Belief in conspiracy theories: Basic principles of an emerging research domain · 2018 · European Journal of Social Psychology
• Bots increase exposure to negative and inflammatory content in online social · 2018 · Proceedings of the National Academy of Sciences (PNAS)
• Combating Fake News with Interpretable News Feed Algorithms · 2018 · arXiv
• Combating Fake News: A Survey on Identification and Mitigation Techniques · 2018 · ACM Transactions on Intelligent Systems and Technology
• Comparative Studies of Detecting Abusive Language on Twitter · 2018 · arXiv
• DeClareE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning · 2018 · arXiv
• DeepFakes: a New Threat to Face Recognition? Assessment and Detection · 2018 · arXiv
• Detecting GAN-generated Imagery using Color Cues · 2018 · arXiv
• Detection and Resolution of Rumours in Social Media: A Survey · 2018 · ACM Computing Surveys
• Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and · 2018 · arXiv
• EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection · 2018 · KDD ''18: The 24th ACM SIGKDD International Conference on Knowledge Discovery
• Exposing Deep Fakes Using Inconsistent Head Poses · 2018 · arXiv
• Exposure to opposing views on social media can increase political polarization · 2018 · PNAS
• FakeNewsNet: A Data Repository with News Content, Social Context and Spatiotemporal · 2018 · arXiv preprint
• FEVER: A Large-Scale Dataset for Fact Extraction and VERification · 2018 · arXiv preprint
• Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media · 2018 · ICWSM (International Conference on Weblogs and Social Media)
• In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking · 2018 · arXiv
• Influencers in Polarized Political Networks on Twitter · 2018 · SMSociety (International Conference on Social Media & Society)
• MesoNet: A Compact Facial Video Forgery Detection Network · 2018 · arXiv
• On the Origins of Memes by Means of Fringe Web Communities · 2018 · IMC 2018
• Predicting Factuality of Reporting and Bias of News Media Sources · 2018 · arXiv
• Rumor Detection on Twitter with Tree-structured Recursive Neural Networks · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational
• Sampling the News Producers: A Large News and Feature Data Set for the Study · 2018 · ICWSM 2018 (arXiv preprint)
• Studying Fake News via Network Analysis: Detection and Mitigation · 2018 · Book chapter
• The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength · 2018 · arXiv:1812.10847
• The Fact Extraction and VERification (FEVER) Shared Task · 2018 · ACL 2018 Shared Task
• The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and · 2018 · arXiv & Future of Humanity Institute, University of Oxford
• The Science of Fake News · 2018 · Science
• The small, disloyal fake news audience: The role of audience availability · 2018 · New Media & Society
• The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various · 2018 · arXiv
• TI-CNN: Convolutional Neural Networks for Fake News Detection · 2018 · arXiv
• Two-Stream Neural Networks for Tampered Face Detection · 2018 · arXiv
• Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls · 2018 · arXiv
• A Stylometric Inquiry into Hyperpartisan and Fake News · 2017 · arXiv
• A Survey on Hate Speech Detection using Natural Language Processing · 2017 · Proceedings of the Fifth International Workshop on Natural Language Processing
• Attention Is All You Need · 2017 · Advances in Neural Information Processing Systems (NeurIPS)
• CSI: A Hybrid Deep Model for Fake News Detection · 2017 · CIKM'17 (ACM Conference on Information and Knowledge Management)
• Defining "Fake News": A typology of scholarly definitions · 2017 · Digital Journalism
• Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning · 2017 · ACL (55th Annual Meeting)
• Detecting Bots on Russian Political Twitter · 2017 · Big Data
• Emotion shapes the diffusion of moralized content in social networks · 2017 · Proceedings of the National Academy of Sciences (PNAS)
• Fake News Detection on Social Media: A Data Mining Perspective · 2017 · arXiv
• Finding Streams in Knowledge Graphs to Support Fact Checking · 2017 · arXiv preprint
• Information Disorder: Toward an Interdisciplinary Framework for Research and · 2017 · Council of Europe report
• Inoculating the Public against Misinformation about Climate Change · 2017 · Global Challenges
• Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation · 2017 · arXiv preprint
• Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake News Detection · 2017 · arXiv
• Neutralizing misinformation through inoculation: Exposing misleading argumentation · 2017 · PLOS ONE
• Online Human-Bot Interactions: Detection, Estimation, and Characterization · 2017 · arXiv preprint
• Quantifying Controversy on Social Media · 2017 · ACM Transactions on Social Computing
• SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for · 2017 · Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017)
• Social Media and Fake News in the 2016 Election · 2017 · Journal of Economic Perspectives
• Some Like it Hoax: Automated Fake News Detection in Social Networks · 2017 · Technical Report, UC Santa Cruz
• Spreadable Spectacle in Digital Culture: Civic Expression, Fake News, and · 2017 · American Behavioral Scientist
• The Paradigm-Shift of Social Spambots: Evidence, Theories, and Tools for the · 2017 · WWW 2017 Companion
• The Psychology of Conspiracy Theories · 2017 · Current Directions in Psychological Science
• The spread of low-credibility content by social bots · 2017 · arXiv
• The Spread of True and False News Online · 2017 · MIT Initiative on the Digital Economy Research Brief
• Topological Recurrent Neural Network for Diffusion Prediction · 2017 · ICDM 2017
• Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking · 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language
• Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification · 2017 · Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017)
• Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech · 2016 · Proceedings of 2016 EMNLP Workshop on Natural Language Processing and Computational
• BotOrNot: A System to Evaluate Social Bots · 2016 · Proceedings of the 25th International Conference Companion on World Wide Web
• Boundaries Not Drawn: Mapping the institutional roots of the global fact-checking · 2016 · Journalism Studies
• Corporate funding and ideological polarization about climate change · 2016 · Proceedings of the National Academy of Sciences (PNAS)
• DeepCas: an End-to-end Predictor of Information Cascades · 2016 · arXiv
• DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection · 2016 · IEEE Intelligent Systems
• Reducing Controversy by Connecting Opposing Views · 2016 · WSDM 2017
• Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure · 2016 · arXiv preprint
• We used Neural Networks to Detect Clickbaits: You won''t believe what happened · 2016 · arXiv:1612.01340
• Computational fact checking from knowledge networks · 2015 · ArXiv
• In Related News, That Was Wrong: The Correction of Misinformation Through · 2015 · Journal of Communication
• The Rise of Social Bots · 2015 · ACM Transactions on the Web
• Can Cascades be Predicted? · 2014 · International Conference on Web and Social Media (ICWSM)
• Rumor Cascades · 2014 · Proceedings of the Eighth International AAAI Conference on Weblogs and Social
• Distributed Representations of Words and Phrases and their Compositionality · 2013 · ICLR Workshop 2013
• Efficient Estimation of Word Representations in Vector Space · 2013 · NIPS 2013
• Misinformation and Its Correction: Continued Influence and Successful Debiasing · 2012 · Psychological Science in the Public Interest
• Information Credibility on Twitter · 2011 · Proceedings of the World Wide Web Conference (WWW)
• Detecting and Tracking the Spread of Astroturf Memes in Microblog Streams · 2010 · arXiv
• Community detection in graphs · 2009 · arXiv
• The structure and function of complex networks · 2003 · Reviews of Modern Physics
• The structure and function of complex networks · 2003 · Reviews of Modern Physics