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Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges
The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
[HTML][HTML] Sentiment analysis for fake news detection
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …
information created with the intention of deception. The dissemination of this type of news …
[HTML][HTML] Fake news detection: A hybrid CNN-RNN based deep learning approach
The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …
little investigation and fewer filters than before. This amplified the old problem of fake news …
GCAN: Graph-aware co-attention networks for explainable fake news detection on social media
YJ Lu, CT Li - arxiv preprint arxiv:2004.11648, 2020 - arxiv.org
This paper solves the fake news detection problem under a more realistic scenario on social
media. Given the source short-text tweet and the corresponding sequence of retweet users …
media. Given the source short-text tweet and the corresponding sequence of retweet users …
A fine‐tuned BERT‐based transfer learning approach for text classification
Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …
: Similarity-aware multi-modal fake news detection
Effective detection of fake news has recently attracted significant attention. Current studies
have made significant contributions to predicting fake news with less focus on exploiting the …
have made significant contributions to predicting fake news with less focus on exploiting the …
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …
for real-time information dissemination. It has become an open stage for discussion …
A comprehensive review on fake news detection with deep learning
A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
FNDNet–a deep convolutional neural network for fake news detection
With the increasing popularity of social media and web-based forums, the distribution of fake
news has become a major threat to various sectors and agencies. This has abated trust in …
news has become a major threat to various sectors and agencies. This has abated trust in …
Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …