Predicting image credibility in fake news over social media using multi-modal approach-Reference-Cited by-同舟云学术

Predicting image credibility in fake news over social media using multi-modal approach

Published:2021-05-24 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Singh Bhuvanesh,Sharma Dilip Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06086-4.pdf

Reference50 articles.

1. Sharma, S., Sharma, D.K. (2020). Fake News Detection: A long way to go. In: 4th International Conference on Information Systems and Computer Networks (ISCON)2019. pp 816–821, https://doi.org/10.1109/ISCON47742.2019.9036221.

2. Stoll, J. (2020) Reading fake news about the Coronavirus in Norway 2020. https://www.statista.com/statistics/1108710/reading-fake-news-about-the-coronavirus-in-norway-by-source/ (2020). Accessed on May 2, 2020

3. CIGI-Ipsos Global Survey on Internet Security and Trust (2019). https://www.cigionline.org/internet-survey-2019. Accessed on 15 January 2021

4. Fazio, L. (Feb 2020). Curbing fake news: Here’s why visuals are the most potent form of misinformation from https://scroll.in/article/953395/curbing-fake-news-heres-why-visuals-are-the-most-potent-form-of-misinformation last accessed on 2021/1/2

5. Eveleth R (2014) Hurricane Sandy: Five ways to spot a fake photograph. https://www.bbc.com/future/article/20121031-how-to-spot-a-fake-sandy-photo. Accessed on August 9, 2020

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