Papers¶
Research papers ingested into the wiki — surveys, methods, datasets, position pieces.
274 pages in this section.
- Is Less Really More? Fake News Detection with Limited Information · 2025 · arXiv preprint (cs.IR)
- Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques · 2024 · arXiv
- Can LLM-Generated Misinformation Be Detected? · 2024 · ICLR 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 News · 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 Is Said · 2024 · arXiv
- RAIDAR: Generative AI Detection via Rewriting · 2024 · ICLR
- TELLER: A Trustworthy Framework For Explainable, Generalizable and Controllable Fake News Detection · 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 AI from GAN to ChatGPT · 2023 · J. ACM, Vol. 37, No. 4
- A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability · 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 202)
- 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 Social Media · 2023 · arXiv
- Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models · 2023 · arXiv
- FLIRT: Feedback Loop In-context Red Teaming · 2023 · arXiv preprint
- Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations · 2023 · arXiv
- How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances · 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 in Graph Processing and Deep Learning: A Survey · 2023 · ArXiv
- The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention · 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' Alignment · 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 in News Articles · 2022 · arXiv
- Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text · 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 in Tweets and News Articles · 2021 · arXiv preprint
- A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances · 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 Text · 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 Mining (ASONAM) 2022
- Does Media Literacy Help Identification of Fake News? Information Literacy Helps, but Other Literacies Don't · 2021 · American Behavioral Scientist
- Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multimodal Data · 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 Approach · 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 Management
- 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 social media · 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 field experiment · 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 of Canonical Information · 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 and false news in the United States and India · 2020 · PNAS (Proceedings of the National Academy of Sciences)
- A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration · 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 Disinformation and Rebuttals Disseminated via Social Media · 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 and behaviors of American Twitter users in late 2017 · 2020 · Proceedings of the National Academy of Sciences (PNAS)
- Causes and consequences of mainstream media dissemination of fake news: literature review and synthesis · 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 the 2016 U.S. Presidential Election · 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 Video on Deception, Uncertainty, and Trust in News · 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 in times of COVID-19 · 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 a Scalable Accuracy-Nudge Intervention · 2020 · Psychological Science
- GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media · 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 during 2018 and 2019 Italian elections · 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 Less Unethical to Publish and Share · 2020 · Psychological Science
- Misinformation Has High Perplexity · 2020 · arXiv
- MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation · 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)
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks · 2020 · International Conference on Learning Representations (ICLR)
- 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 Training in NLP · 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 and Social Media Context · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News · 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 Presidential Elections · 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 by Russian Trolls on Twitter · 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 Activity on Three U.S. Social Media Platforms, 2015 to 2017 · 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
- Fact-Checking Meets Fauxtography: Verifying Claims About Images · 2019 · arXiv
- 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 Fact-checking Literature · 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 and Their Human- and Machine-based Detection · 2019 · arXiv
- GLTR: Statistical Detection and Visualization of Generated Text · 2019 · arXiv
- Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation · 2019 · AAAI (Association for the Advancement of Artificial Intelligence)
- How Many People Live in Political Bubbles on Social Media? Evidence From Linked Survey and Twitter Data · 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 on Facebook · 2019 · Science Advances
- Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media · 2019 · arXiv
- MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims · 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 in News Articles · 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 Detection · 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 Media · 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval)
- Social Media for Political Campaigns: An Examination of Trump's and Clinton's Frame Building and Its Effect on Audience Engagement · 2019 · Social Media + Society
- The platform governance triangle: conceptualising the informal regulation of online content · 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 Media Conversations · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- 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 literature review · 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 systems · 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 Their Influence on the Web · 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 & Data Mining
- 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 Information for Studying Fake News on Social Media · 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 Linguistics (Long Papers)
- Sampling the News Producers: A Large News and Feature Data Set for the Study of the Complex Media Landscape · 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 Mitigation · 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 in fake news consumption · 2018 · New Media & Society
- The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans · 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 for Social Media
- 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 Policy Making · 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 techniques reduces their influence · 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 rumours · 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 the Role of Media Literacies in \"Post-Fact\" Society · 2017 · American Behavioral Scientist
- The Paradigm-Shift of Social Spambots: Evidence, Theories, and Tools for the Arms Race · 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 Processing
- Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM · 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 Detection on Twitter · 2016 · Proceedings of 2016 EMNLP Workshop on Natural Language Processing and Computational Social Science
- 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 movement · 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 of Social Media Conversations · 2016 · arXiv preprint
- We used Neural Networks to Detect Clickbaits: You won't believe what happened Next! · 2016 · arXiv:1612.01340
- Computational fact checking from knowledge networks · 2015 · ArXiv
- In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media · 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 Media (ICWSM)
- 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