- The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016
- The science of fake news
- Fake news on Twitter during the 2016 U.S. presidential election
- The spread of true and false news online
- A Stylometric Inquiry into Hyperpartisan and Fake News
- Some Like it Hoax: Automated Fake News Detection in Social Networks
- "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
- Fake News Detection on Social Media: A Data Mining Perspective
- Fake News Detection in Social Networks via Crowd Signals
- Polarization and Fake News: EarlyWarning of Potential Misinformation Targets
- False Information on Web and Social Media: A Survey
- Studying Fake News via Network Analysis: Detection and Mitigation
- The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News
- A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone
- MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
- Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
- Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News
- Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
- VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text
- User Preference-aware Fake News Detection
- Different Spirals of Sameness: A Study of Content Sharing in Mainstream and Alternative Media
- Bias Misperceived: The Role of Partisanship and Misinformation in YouTube Comment Moderation
- Detecting Social Bots on Facebook in an Information Veracity Context
- FA-KES: A Fake News Dataset around the Syrian War
- NELA-GT-2018: A Large Multi-Labelled News Dataset for the Study of Misinformation in News Articles
- Weak Supervision for Fake News Detection via Reinforcement Learning
- Interpretable Rumor Detection in Microblogs by Attending to User Interactions
- Higher Ground? How Groundtruth Labeling Impacts Our Understanding of Fake News about the 2016 U.S. Presidential Nominees
- Toward a Better Performance Evaluation Framework for Fake News Classification
- Modeling and Measuring Expressed (Dis)belief in (Mis)information
- Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
- A Benchmark Dataset of Check-Worthy Factual Claims
- Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository
- A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections
- Analysing the Extent of Misinformation in Cancer Related Tweets
- Science audiences, misinformation, and fake news
- Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate
- Detection and Resolution of Rumours in Social Media: A Survey
- EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection
- Investigating Rumor News Using Agreement-Aware Search
- Beyond News Contents: The Role of Social Context for Fake News Detection
- Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection
- Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election
- Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia
- DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
- MVAE: Multimodal Variational Autoencoder for Fake News Detection
- Evaluating the fake news problem at the scale of the information ecosystem
- Detecting Check-worthy Factual Claims in Presidential Debates
- Detecting Rumors from Microblogs with Recurrent Neural Networks
- Fake News Research: Theories, Detection Strategies, and Open Problems
- Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes
- Reply-Aided Detection of Misinformation via Bayesian Deep Learning
- FEVER: a large-scale dataset for Fact Extraction and VERification
- Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter
- Rumor Detection By Exploiting User Credibility Information, Attention and Multi-task Learning
- Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations
- BREAKING! Presenting Fake News Corpus For Automated Fact Checking
- Automatic Deception Detection: Methods for Finding Fake News
- Protecting elections from social media manipulation
- SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
- Influence of fake news in Twitter during the 2016 US presidential election
- Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
- Deception Detection for News: Three Types of Fakes
- Real-time Rumor Debunking on Twitter
- Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News