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Fake News Detection: A Deep Learning Approach
2 references·7 citing·34 second hop
Fake News Detection: A Deep Learning Approach (2018)Fake News Detection: A Deep Learning Appr…Social Media and Fake News in the 2016 Election (2017)Social Media and Fake News in…Emergent: a novel data-set for stance classification (2016)Emergent: a novel data-set fo…Multimodal Fake News Detection (2022)Multimodal Fake News DetectionMc-DNN (2022)Mc-DNNBerConvoNet: A deep learning framework for fake news classification (2021)BerConvoNet: A deep learning …An alliance of humans and machines for machine learning: Hybrid intelligent systems and their design principles (2021)An alliance of humans and mac…Convolutional neural network with margin loss for fake news detection (2020)Convolutional neural network …Approaches to Identify Fake News: A Systematic Literature Review (2020)Approaches to Identify Fake N…Fake News Detection Using Deep Learning Techniques (2019)Fake News Detection Using Dee…Rumor has it: Identifying Misinformation in Microblogs (2011)Fact Checking: Task definition and dataset construction (2014)Enquiring Minds (2015)A Survey of Fake News (2020)Fighting an Infodemic: COVID-19 Fake News Dataset (2021)Motivated Skepticism in the Evaluation of Political Beliefs (2006)Exposure to ideologically diverse news and opinion on Facebook (2015)Filter Bubbles, Echo Chambers, and Online News Consumption (2016)The science of fake news (2018)Cultural Backlash (2019)Using social and behavioural science to support COVID-19 pandemic response (2020)Automatic deception detection: Methods for finding fake news (2015)Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads (2016)"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection (2017)A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches (2023)CSI (2017)The spread of low-credibility content by social bots (2018)Fighting misinformation on social media using crowdsourced judgments of news source quality (2019)Fake news detection: a survey of evaluation datasets (2021)Optimization and improvement of fake news detection using deep learning approaches for societal benefit (2021)EANN (2018)Deep contextualized text representation and learning for fake news detection (2021)Do social media literacy skills help in combating fake news spread? Modelling the moderating role of social media literacy skills in the relationship between rational choice factors and fake news sharing behaviour (2022)It’s All in the Embedding! Fake News Detection Using Document Embeddings (2023)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)The spread of true and false news online (2018)A Design Science Research Methodology for Information Systems Research (2007)Digital Business Strategy: Toward a Next Generation of Insights (2013)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Factors influencing the use of artificial intelligence in government: Evidence from China (2021)Hybrid intelligence in procurement: Disillusionment with AI’s superiority? (2023)A Multifaceted Vision of the Human-AI Collaboration: A Comprehensive Review (2025)Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques (2017)A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities (2023)
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References

  • 2017Social Media and Fake News in the 2016 Election7,016 cited
  • 2016Emergent: a novel data-set for stance classification360 cited

Cited by

  • 2020Convolutional neural network with margin loss for fake news detection139 cited
  • 2022Multimodal Fake News Detection126 cited
  • 2020Approaches to Identify Fake News: A Systematic Literature Review122 cited
  • 2022Mc-DNN110 cited
  • 2021BerConvoNet: A deep learning framework for fake news classification96 cited
  • 2019Fake News Detection Using Deep Learning Techniques95 cited
  • 2021An alliance of humans and machines for machine learning: Hybrid intelligent systems and their design principles72 cited

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