Rumor, Fake News, Misinformation Papers

Overview

Rumor, Fake News, Hoax, Misinformation / Analysis & Detection Papers

Table of Contents (TBU)

0. Survey
1. Misinformation Analysis
2. Feature Extraction and Machine Learning Approaches
3. Deep Learning / Graph Neural Network / Network Embedding
4. Crowd Signal & Crowdsourcing
5. Cascades
6. Influence Limitation
7. Anomaly Detection
8. Data Collection / Analysis Systems
9. etc.

• Digital Libraries

  • ACM DL Xplore SpringerLink arXiv Cornell

• Badges

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• Conferences

Conference / Journal Papers

Survey

• Fake News Detection on Social Media: A Data Mining Perspective (KDD 2017) ACM DL PDF

Misinformation Analysis / Social Media Analysis

• Understanding User Profiles on Social Media for Fake News Detection (IEEE MIPR 2018) Xplore PDF
  • FakeNewsNet
• Fake news on Twitter during the 2016 U.S. presidential election (Science 2019) Science
• Faking Sandy: Characterizing and Identifying Fake Images on Twitter during Hurricane Sandy (WWW 2013) ACM DL
• Are you Charlie or Ahmed? Cultural pluralism in Charlie Hebdo response on Twitter (ICWSM 2016)
• Fake it till you make it: Fishing for Catfishes (ASONAM 2017)
• The science of fake news (Science 2018)
• Detection and Resolution of Rumours in Social Media: A Survey (Computing Surveys 2018)

Misinformation Detection (Handcrafted Features, Feature Extraction)

• Information Credibility on Twitter (WWW 2011) ACM DL
• Rumor has it: Identifying Misinformation in Microblogs (EMNLP 2011) ACM DL
• Automatic Detection of Rumor on Sina Weibo (MDS 2012) ACM DL
• Prominent Features of Rumor Propagation in Online Social Media (ICDM 2013) Xplore
• Detect Rumors Using Time Series of Social Context Information on Microblogging Websites (CIKM 2015) ACM DL
• False Rumors Detection on Sina Weibo by Propagation Structures (ICDE 2015) Xplore
• Fact-checking Effect on Viral Hoaxes: A Model of Misinformation Spread in Social Networks (WWW 2015)
• Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes (WWW 2016)
• Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation (ICWSM 2020)
• Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation Using Visual Analytics (ICWSM 2018)
• Rumor Detection over Varying Time Windows (PLOS ONE 2017) PLOS ONE
• Real-time Rumor Debunking on Twitter (CIKM 2015)
• Beyond News Contents: The Role of Social Context for Fake News Detection (WSDM 2019)
• EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection (KDD 2018)
• Unsupervised Fake News Detection on Social Media: A Generative Approach (AAAI 2019)
• Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts (WWW 2015)
• Homogeneity-Based Transmissive Process to Model True and False News in Social Networks (WSDM 2019)

Propagation & Diffusion Network

• Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning ACL PDF Slides
• Detecting Rumors from Microblogs with Recurrent Neural Networks (IJCAI 2016) ACM DL PDF
• Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate (WSDM 2018) ACM DL PDF
• The Hoaxy Misinformation and Fact-Checking Diffusion Network (ICWSM 2018)
• Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment (Trans. on Computational Social Systems 2016)
• Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks (AAAI 2018)
• Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning (WWW 2019)
• Rumor Detection on Twitter with Tree-structured Recursive Neural Networks (ACL 2018)
• Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks (AAAI 2020)

Cascades Perspective

• Epidemics and Rumours (Nature 1964)
• The Spread of Behavior in an Online Social Network Experiment (Science 2010)
• Rumor Cascades (ICWSM 2014) AAAI PDF
• The spread of true and false news online (Science 2018) Science Video
• The spreading of misinformation online (PNAS 2016) ACM DL

Crowd Signal & Crowdsourcing

• A Closer Look at the Self-Correcting Crowd: Examining Corrections in Online Rumors (CSCW 2017) ACM DL PDF
• Fake News Detection in Social Networks via Crowd Signals (WWW 2018) ACM DL PDF
• Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation (WSDM 2018) ACM DL PDF

Influence Limitation

• Limiting the Spread of Misinformation in Social Networks (WWW 2011) ACM DL PDF
• Containment of Misinformation Spread in Online Social Networks (WebSci 2012) ACM DL
• Monitor Placement to Timely Detect Misinformation in Online Social Networks (ICC 2015) Xplore
• Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks (ICDM 2017) Xplore

Fact-checking Effect

• Fact-checking Effect on Viral Hoaxes: A Model of Misinformation Spread in Social Networks (WWW 2015)
• Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation (CIKM 2019)
• The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News (SIGIR 2018)

Anomaly Detection

• CatchSync: Catching Synchronized Behavior in Large Directed Graphs (KDD 2014)
• Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems (ICDM 2017)

Data Collection / Analysis Systems

• TwitterMonitor: Trend Detection over the Twitter Stream (SIGMOD 2010) ACM DL
• CREDBANK: A Large-Scale Social Media Corpus With Associated Credibility Annotations (AAAI 2015)
• Hoaxy: A Platform for Tracking Online Misinformation (WWW 2016)
• "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection (ACL 2017)
• FakeNewsTracker: A Tool for Fake News Collection, Detection, and Visualization (CMOT 2018)

To Be Classified

• .

Dataset

• MuMiN by Dan Nielsen and Ryan McConville
• FakeNewsNet by Kai Shu @ ASU
• Twitter 15/16 (Rumor) by Jing Ma @ CUHK
  • ACL 2017, ACL 2018
• PLOS ONE 2017 by Sejeong Kwon @ KAIST
• Science 2018
• Fake News Corpus
• Fake News Challenge
• CREDBANK

Influential Groups and Scholars

• Research Groups
  • DMML @ ASU
  • NaN @ Indiana University Bloomington
• Researchers
  • Carlos Castillo Scholar WEB
    • WWW '11
  • Meeyoung Cha @ KAIST Scholar
  • Jing Ma @ CUHK Scholar
    • IJCAI '16 -> ACL 17 -> ACL 18
  • Soroush Vosoughi @ Dartmouth Scholar
  • Sinan Aral @ MIT Scholar

Contribution

• Pull requests Welcome!

References

• sumeetkr/AwesomeFakeNews
• Social Network Analysis Papers
• Stanford Network Analysis Project (SANP) @ Stanford
• Advanced Social Network Analysis @ Seoul National University
• CS224W Analysis of Networks @ Stanford
• Data Mining & Analysis - Google Scholar
• Databases & Information Systems - Google Scholar