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Detection and visualization of misleading content on Twitter
11 references·6 citing·48 second hop
Detection and visualization of misleading content on Twitter (2017)Detection and visualization of misleading…Detection and Resolution of Rumours in Social Media (2018)Detection and Resolution of R…Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter (2017)Separating Facts from Fiction…Novel Visual and Statistical Image Features for Microblogs News Verification (2016)Novel Visual and Statistical …Hoaxy (2016)HoaxyFake News or Truth? Using Satirical Cues to Detect Potentially Misleading News (2016)Fake News or Truth? Using Sat…Disinformation on the Web (2016)Disinformation on the WebFalse rumors detection on Sina Weibo by propagation structures (2015)False rumors detection on Sin…Faking Sandy (2013)Faking SandyTruthy (2011)TruthyInformation credibility on twitter (2011)Information credibility on tw…Leipzig Affective Norms for German: A reliability study (2010)Leipzig Affective Norms for G…MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection (2023)MFIR: Multimodal fusion and i…Fake news detection: A survey of graph neural network methods (2023)Fake news detection: A survey…Bootstrapping Multi-View Representations for Fake News Detection (2023)Bootstrapping Multi-View Repr…Analyzing Machine Learning Enabled Fake News Detection Techniques for Diversified Datasets (2022)Analyzing Machine Learning En…Exploring the Role of Visual Content in Fake News Detection (2020)Exploring the Role of Visual …Combating disinformation in a social media age (2020)Combating disinformation in a…An argument for basic emotions (1992)Twitter under crisis (2010)Combating Fake News (2019)Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities (2019)Applications of artificial intelligence for disaster management (2020)Twitter adoption and use in mass convergence and emergency events (2009)Microblogging during two natural hazards events (2010)A Convolutional Approach for Misinformation Identification (2017)The elements of computer credibility (1999)"OMG, from here, I can see the flames!" (2009)Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature (2018)Systematic Literature Review on the Spread of Health-related Misinformation on Social Media (2019)A Survey of Fake News (2020)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Twitter mood predicts the stock market (2011)Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election (2017)The Brexit Botnet and User-Generated Hyperpartisan News (2017)The Wealth of Networks (2017)Birds of a Feather: Homophily in Social Networks (2001)Users of the world, unite! The challenges and opportunities of Social Media (2009)SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours (2017)Combating Fake News on Social Media with Source Ratings: The Effects of User and Expert Reputation Ratings (2019)The web of false information: Rumors, fake news, hoaxes, clickbait, and various other shenanigans (2019)Believe it or not: Factors influencing credibility on the Web (2001)The spreading of misinformation online (2016)Some Like it Hoax: Automated Fake News Detection in Social Networks (2017)Deep learning for misinformation detection on online social networks: a survey and new perspectives (2020)Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human Solutions (2023)Interpersonal Deception Theory (1996)On the reception and detection of pseudo-profound bullshit (2015)The Development and Psychometric Properties of LIWC2015 (2015)Detecting opinion spams and fake news using text classification (2017)Fake News Detection on Social Media: A Data Mining Perspective (2017)Prominent Features of Rumor Propagation in Online Social Media (2013)Exploiting Multi-domain Visual Information for Fake News Detection (2019)$$\mathsf {SAFE}$$: Similarity-Aware Multi-modal Fake News Detection (2020)Cross-modal Ambiguity Learning for Multimodal Fake News Detection (2022)Linguistic Inquiry and Word Count (LIWC) (2012)Automatic deception detection: Methods for finding fake news (2015)News use across social media platforms 2016 (2016)DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning (2018)Multimodal Fusion with Co-Attention Networks for Fake News Detection (2021)Computational Social Science (2009)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Communication and Persuasion: Central and Peripheral Routes to Attitude Change (2015)Rumor Detection on Twitter with Tree-structured Recursive Neural Networks (2018)FakeBERT: Fake news detection in social media with a BERT-based deep learning approach (2021)Fake news, disinformation and misinformation in social media: a review (2023)
this work references cited by second hop

References

  • 2011Information credibility on twitter2,572 cited
  • 2018Detection and Resolution of Rumours in Social Media805 cited
  • 2015False rumors detection on Sina Weibo by propagation structures617 cited
  • 2016Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News598 cited
  • 2013Faking Sandy573 cited
  • 2011Truthy540 cited
  • 2016Novel Visual and Statistical Image Features for Microblogs News Verification479 cited
  • 2016Hoaxy418 cited
  • 2017Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter381 cited
  • 2016Disinformation on the Web310 cited
  • 2010Leipzig Affective Norms for German: A reliability study119 cited

Cited by

  • 2020Combating disinformation in a social media age197 cited
  • 2023Fake news detection: A survey of graph neural network methods155 cited
  • 2020Exploring the Role of Visual Content in Fake News Detection151 cited
  • 2023MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection149 cited
  • 2023

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Bootstrapping Multi-View Representations for Fake News Detection
136 cited
  • 2022Analyzing Machine Learning Enabled Fake News Detection Techniques for Diversified Datasets122 cited