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๐Ÿšจ Rumor, Fake News, Misinformation Papers

License: MIT License

rumors fake-news misinformation social-network fake-news-classification data-mining data-science

rumor-fake-news-papers's Introduction

Rumor, Fake News, Misinformation Papers

License: MIT License: MIT

Overview

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

Table of Contents (TBU)

  1. Survey
  2. Misinformation Analysis
  3. Feature Extraction and Machine Learning Approaches
  4. Deep Learning / Graph Neural Network / Network Embedding
  5. Crowd Signal & Crowdsourcing
  6. Cascades
  7. Influence Limitation
  8. Anomaly Detection
  9. Data Collection / Analysis Systems
  10. etc.
KDD WWW WSDM AAAI ICML
ICDM ICDE CIKM CSCW ICWSM
ACL ASONAM

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

Influential Groups and Scholars

Contribution

  • Pull requests Welcome!

References

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