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Fake News Detection Using Machine Learning Ensemble Methods
13 references·6 citing·42 second hop
Fake News Detection Using Machine Learning Ensemble Methods (2020)Fake News Detection Using Machine Learnin…Corona Virus (COVID-19) “Infodemic” and Emerging Issues through a Data Lens: The Case of China (2020)Corona Virus (COVID-19) “Info…The spread of true and false news online (2018)The spread of true and false …The science of fake news (2018)The science of fake newsSocial Media and Fake News in the 2016 Election (2017)Social Media and Fake News in…Fake News Detection on Social Media (2017)Fake News Detection on Social…Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques (2017)Detection of Online Fake News…Detecting opinion spams and fake news using text classification (2017)Detecting opinion spams and f…CSI (2017)CSIAutomatic Detection of Fake News (2017)Automatic Detection of Fake N…"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection (2017)"Liar, Liar Pants on Fire": A…Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News (2016)Fake News or Truth? Using Sat…Automatic deception detection: Methods for finding fake news (2015)Automatic deception detection…News Consumption and the New Electronic Media (2005)News Consumption and the New …Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models (2024)Prediction of Customer Churn …AI hallucination: towards a comprehensive classification of distorted information in artificial intelligence-generated content (2024)AI hallucination: towards a c…Content-Based Fake News Detection With Machine and Deep Learning: a Systematic Review (2023)Content-Based Fake News Detec…A comprehensive survey on machine learning approaches for fake news detection (2023)A comprehensive survey on mac…Predictive Model of Employee Attrition Based on Stacking Ensemble Learning (2022)Predictive Model of Employee …Detection of fake news using deep learning CNN–RNN based methods (2021)Detection of fake news using …Affective News and Networked Publics: The Rhythms of News Storytelling on #Egypt (2012)Detecting Deceptive Discussions in Conference Calls (2012)An overview of online fake news: Characterization, detection, and discussion (2019)Science audiences, misinformation, and fake news (2019)Fake news, disinformation and misinformation in social media: a review (2023)Interpersonal Deception Theory (1996)On the reception and detection of pseudo-profound bullshit (2015)The Development and Psychometric Properties of LIWC2015 (2015)Fake News Detection on Social Media: A Data Mining Perspective (2017)Combating Fake News (2019)Of Conspiracy Theories (1999)Persuasion: Empirical Evidence (2010)Effective Messages in Vaccine Promotion: A Randomized Trial (2014)Cultural Backlash (2019)Using social and behavioural science to support COVID-19 pandemic response (2020)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Advances in prospect theory: Cumulative representation of uncertainty (1992)EANN (2018)The Psychology of Fake News (2021)Information credibility on twitter (2011)MVAE: Multimodal Variational Autoencoder for Fake News Detection (2019)FakeBERT: Fake news detection in social media with a BERT-based deep learning approach (2021)News use across social media platforms 2016 (2016)This Just In: Fake News Packs A Lot In Title, Uses Simpler, Repetitive Content in Text Body, More Similar To Satire Than Real News (2017)An ensemble machine learning approach through effective feature extraction to classify fake news (2020)FNDNet – A deep convolutional neural network for fake news detection (2020)WELFake: Word Embedding Over Linguistic Features for Fake News Detection (2021)The new science of management decision. (1960)Measuring nominal scale agreement among many raters. (1971)Linguistic Inquiry and Word Count (LIWC) (2012)The COVID-19 social media infodemic (2020)The echo chamber effect on social media (2021)Governance, technology and citizen behavior in pandemic: Lessons from COVID-19 in East Asia (2020)How to fight an infodemic (2020)Leveraging media and health communication strategies to overcome the COVID-19 infodemic (2020)The impact of fake news on social media and its influence on health during the COVID-19 pandemic: a systematic review (2021)A Survey of Fake News (2020)FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media (2020)Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning (2018)Fake news on Twitter during the 2016 U.S. presidential election (2019)Systematic Literature Review on the Spread of Health-related Misinformation on Social Media (2019)
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References

  • 2018The spread of true and false news online8,787 cited
  • 2017Social Media and Fake News in the 2016 Election6,737 cited
  • 2018The science of fake news4,155 cited
  • 2017Fake News Detection on Social Media3,273 cited
  • 2017"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection1,703 cited
  • 2017CSI1,038 cited
  • 2015Automatic deception detection: Methods for finding fake news994 cited
  • 2017Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques693 cited
  • 2016Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News598 cited
  • 2020Corona Virus (COVID-19) “Infodemic” and Emerging Issues through a Data Lens: The Case of China575 cited
  • 2017Detecting opinion spams and fake news using text classification523 cited
  • 2017Automatic Detection of Fake News511 cited
  • 2005News Consumption and the New Electronic Media198 cited

Cited by

  • 2024AI hallucination: towards a comprehensive classification of distorted information in artificial intelligence-generated content321 cited
  • 2023Content-Based Fake News Detection With Machine and Deep Learning: a Systematic Review

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182 cited
  • 2021Detection of fake news using deep learning CNN–RNN based methods131 cited
  • 2023A comprehensive survey on machine learning approaches for fake news detection121 cited
  • 2022Predictive Model of Employee Attrition Based on Stacking Ensemble Learning99 cited
  • 2024Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models94 cited