Operating machine learning across natural language processing techniques for improvement of fabricated news model

K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

A survey of fake news: Fundamental theories, detection methods, and opportunities

X Zhou, R Zafarani - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …

[HTML][HTML] Multimodal fake news detection via progressive fusion networks

J **g, H Wu, J Sun, X Fang, H Zhang - Information processing & …, 2023 - Elsevier
Multimodal fake news detection methods based on semantic information have achieved
great success. However, these methods only exploit the deep features of multimodal …

[PDF][PDF] Multimodal fusion with co-attention networks for fake news detection

Y Wu, P Zhan, Y Zhang, L Wang… - Findings of the association …, 2021 - aclanthology.org
Fake news with textual and visual contents has a better story-telling ability than text-only
contents, and can be spread quickly with social media. People can be easily deceived by …

Mvae: Multimodal variational autoencoder for fake news detection

D Khattar, JS Goud, M Gupta, V Varma - The world wide web conference, 2019 - dl.acm.org
In recent times, fake news and misinformation have had a disruptive and adverse impact on
our lives. Given the prominence of microblogging networks as a source of news for most …

defend: Explainable fake news detection

K Shu, L Cui, S Wang, D Lee, H Liu - Proceedings of the 25th ACM …, 2019 - dl.acm.org
In recent years, to mitigate the problem of fake news, computational detection of fake news
has been studied, producing some promising early results. While important, however, we …

Combating fake news: A survey on identification and mitigation techniques

K Sharma, F Qian, H Jiang, N Ruchansky… - ACM transactions on …, 2019 - dl.acm.org
The proliferation of fake news on social media has opened up new directions of research for
timely identification and containment of fake news and mitigation of its widespread impact on …

Fake news detection on social media: A data mining perspective

K Shu, A Sliva, S Wang, J Tang, H Liu - ACM SIGKDD explorations …, 2017 - dl.acm.org
Social media for news consumption is a double-edged sword. On the one hand, its low cost,
easy access, and rapid dissemination of information lead people to seek out and consume …

" liar, liar pants on fire": A new benchmark dataset for fake news detection

WY Wang - arxiv preprint arxiv:1705.00648, 2017 - arxiv.org
Automatic fake news detection is a challenging problem in deception detection, and it has
tremendous real-world political and social impacts. However, statistical approaches to …

Fake reviews detection: A survey

R Mohawesh, S Xu, SN Tran, R Ollington… - Ieee …, 2021 - ieeexplore.ieee.org
In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …