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A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks

arXiv 2112.00803 ↗First posted 23 Nov 2021cs.CLcited by 0

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Abstract (arXiv)

Fake news and misinformation are a matter of concern for people around the globe. Users of the internet and social media sites encounter content with false information much frequently. Fake news detection is one of the most analyzed and prominent areas of research. These detection techniques apply popular machine learning and deep learning algorithms. Previous work in this domain covers fake news detection vastly among text circulating online. Platforms that have extensively been observed and analyzed include news websites and Twitter. Facebook, Reddit, WhatsApp, YouTube, and other social applications are gradually gaining attention in this emerging field. Researchers are analyzing online data based on multiple modalities composed of text, image, video, speech, and other contributing factors. The combination of various modalities has resulted in efficient fake news detection. At present, there is an abundance of surveys consolidating textual fake news detection algorithms. This review primarily deals with multi-modal fake news detection techniques that include images, videos, and their combinations with text. We provide a comprehensive literature survey of eighty articles presenting state-of-the-art detection techniques, thereby identifying research gaps and building a pathway for researchers to further advance this domain.

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References · 33

  1. 2015Beyond Short Snippets: Deep Networks for Video Classificationcited by 233
  2. 2020DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detectioncited by 233
  3. 2019A Survey of the Recent Architectures of Deep Convolutional Neural Networkscited by 213
  4. 2018DeepFakes: a New Threat to Face Recognition? Assessment and Detectioncited by 209
  5. 2018Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videoscited by 180
  6. 2018Fighting Fake News: Image Splice Detection via Learned Self-Consistencycited by 136
  7. 2018Two-Stream Neural Networks for Tampered Face Detectioncited by 125
  8. 2019Detecting GAN generated Fake Images using Co-occurrence Matricescited by 124
  9. 2019Recurrent Convolutional Strategies for Face Manipulation Detection in Videoscited by 118
  10. 2014Learn Convolutional Neural Network for Face Anti-Spoofingcited by 80
  11. 2018A Survey on Natural Language Processing for Fake News Detectioncited by 67
  12. 2019Detecting Photoshopped Faces by Scripting Photoshopcited by 55
21 more
  1. 2019r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detectioncited by 55
  2. 2019Fact-Checking Meets Fauxtography: Verifying Claims About Imagescited by 52
  3. 2019Exploiting Multi-domain Visual Information for Fake News Detectioncited by 48
  4. 2020ReCOVery: A Multimodal Repository for COVID-19 News Credibility Researchcited by 44
  5. 2020Graph Neural Networks with Continual Learning for Fake News Detection from Social Mediacited by 43
  6. 2019GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detectioncited by 42
  7. 2019The Role of User Profile for Fake News Detectioncited by 41
  8. 2020Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistencycited by 33
  9. 2019Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitationcited by 32
  10. 2018Deep Multimodal Image-Repurposing Detectioncited by 31
  11. 2015Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioningcited by 30
  12. 2017Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Textcited by 28
  13. 2017Deep Matching and Validation Network -- An End-to-End Solution to Constrained Image Splicing Localization and Detectioncited by 25
  14. 2018TI-CNN: Convolutional Neural Networks for Fake News Detectioncited by 22
  15. 2017Deception Detection in Videoscited by 20
  16. 2018Fake News Identification on Twitter with Hybrid CNN and RNN Modelscited by 17
  17. 2020A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Electionscited by 9
  18. 2019AIRD: Adversarial Learning Framework for Image Repurposing Detectioncited by 7
  19. 2017Exposing Computer Generated Images by Using Deep Convolutional Neural Networkscited by 4
  20. 2021GeoWINE: Geolocation based Wiki, Image,News and Event Retrievalcited by 4
  21. 2016Image Credibility Analysis with Effective Domain Transferred Deep Networkscited by 2

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