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An ensemble machine learning approach through effective feature extraction to classify fake news
6 references·8 citing·36 second hop
An ensemble machine learning approach through effective feature extraction to classify fake news (2020)An ensemble machine learning approach thr…Supervised Learning for Fake News Detection (2019)Supervised Learning for Fake …Influence of fake news in Twitter during the 2016 US presidential election (2019)Influence of fake news in Twit…Influence of fake news in Twitter during the 2016 US presidential election (2018)Influence of fake news in Twi…Social Media and Fake News in the 2016 Election (2017)Social Media and Fake News in…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…Probabilistic accumulation grey forecasting model and its properties (2023)Probabilistic accumulation gr…Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World (2022)Social Media Big Data Analysi…Model of Negative Emotional Information Communication among Netizens under Corporate Negative Events (2022)Model of Negative Emotional I…Online social networks security and privacy: comprehensive review and analysis (2021)Online social networks securi…Location mapping for constructing biomass power plant using multi-criteria decision-making method (2021)Location mapping for construc…Fake Detect: A Deep Learning Ensemble Model for Fake News Detection (2021)Fake Detect: A Deep Learning …Deep contextualized text representation and learning for fake news detection (2021)Deep contextualized text repr…A Comprehensive Review on Fake News Detection With Deep Learning (2021)A Comprehensive Review on Fak…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)News use across social media platforms 2016 (2016)"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection (2017)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)Fake News Detection Using Machine Learning Ensemble Methods (2020)FNDNet – A deep convolutional neural network for fake news detection (2020)WELFake: Word Embedding Over Linguistic Features for Fake News Detection (2021)Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News (2016)Fake news detection within online social media using supervised artificial intelligence algorithms (2019)Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities (2019)A New Status Index Derived from Sociometric Analysis (1953)Exposure to ideologically diverse news and opinion on Facebook (2015)The spread of true and false news online (2018)COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information (2020)Online misinformation about climate change (2020)Fake News Detection on Social Media (2017)The science of fake news (2018)(Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures (2019)Multiple features based approach for automatic fake news detection on social networks using deep learning (2020)Detecting fake news by exploring the consistency of multimodal data (2021)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Fake news, disinformation and misinformation in social media: a review (2023)Deep Learning Algorithms for Detecting Fake News in Online Text (2018)The negative side of social interaction: Impact on psychological well-being. (1984)Cyberbullying: its nature and impact in secondary school pupils (2008)Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing (2012)Social Media as an Open Innovation: Deciphering Its Relationship with Firm Performance, Compatibility, and Security Concern (2023)Generative artificial intelligence use in the workplace: implications for management practice (2025)Social, legal, and ethical implications of AI-Generated deepfake pornography on digital platforms: A systematic literature review (2025)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Analyzing Machine Learning Enabled Fake News Detection Techniques for Diversified Datasets (2022)Information credibility on twitter (2011)
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References

  • 2017Social Media and Fake News in the 2016 Election6,737 cited
  • 2019Influence of fake news in Twitter during the 2016 US presidential election879 cited
  • 2018Influence of fake news in Twitter during the 2016 US presidential election701 cited
  • 2017Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques693 cited
  • 2017Detecting opinion spams and fake news using text classification523 cited
  • 2019Supervised Learning for Fake News Detection523 cited

Cited by

  • 2021A Comprehensive Review on Fake News Detection With Deep Learning284 cited
  • 2021Online social networks security and privacy: comprehensive review and analysis278 cited
  • 2021Fake Detect: A Deep Learning Ensemble Model for Fake News Detection149 cited
  • 2021Deep contextualized text representation and learning for fake news detection125 cited
  • 2023Probabilistic accumulation grey forecasting model and its properties49 cited
  • 2021Location mapping for constructing biomass power plant using multi-criteria decision-making method34 cited
  • 2022Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World20 cited
  • 2022Model of Negative Emotional Information Communication among Netizens under Corporate Negative Events

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8 cited