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 …
Social media analytics and business intelligence research: A systematic review
Evidently, online voice of customers (VoC) expressed in social media has emerged as
quality data for researchers who are willing to conduct customer-driven business …
quality data for researchers who are willing to conduct customer-driven business …
Temporally evolving graph neural network for fake news detection
The proliferation of fake news on social media has the probability to bring an unfavorable
impact on public opinion and social development. Many efforts have been paid to develop …
impact on public opinion and social development. Many efforts have been paid to develop …
Linguistic feature based learning model for fake news detection and classification
A Choudhary, A Arora - Expert Systems with Applications, 2021 - Elsevier
Social media is used as a dominant source of news distribution among users. The world's
preeminent decisions such as politics are acclaimed by social media to influence users for …
preeminent decisions such as politics are acclaimed by social media to influence users for …
Fake news detection using machine learning approaches
Z Khanam, BN Alwasel, H Sirafi… - IOP conference series …, 2021 - iopscience.iop.org
The fake news on social media and various other media is wide spreading and is a matter of
serious concern due to its ability to cause a lot of social and national damage with …
serious concern due to its ability to cause a lot of social and national damage with …
A new application of social impact in social media for overcoming fake news in health
One of the challenges today is to face fake news (false information) in health due to its
potential impact on people's lives. This article contributes to a new application of social …
potential impact on people's lives. This article contributes to a new application of social …
Amfb: Attention based multimodal factorized bilinear pooling for multimodal fake news detection
Fake news is the information or stories that are intentionally created to deceive or mislead
the readers. In recent times, Fake news detection has attracted the attention of researchers …
the readers. In recent times, Fake news detection has attracted the attention of researchers …
Convolutional neural network with margin loss for fake news detection
The advent of online news platforms such as social media, news blogs, and online
newspapers in recent years and their facilitated features such as swift information flow, easy …
newspapers in recent years and their facilitated features such as swift information flow, easy …
Social media rumor refutation effectiveness: Evaluation, modelling and enhancement
Z Li, Q Zhang, X Du, Y Ma, S Wang - Information Processing & …, 2021 - Elsevier
Motivated by the practical needs of enhancing social media rumor refutation effectiveness,
this paper is dedicated to develop a proper rumor refutation effectiveness index (REI) …
this paper is dedicated to develop a proper rumor refutation effectiveness index (REI) …
The theater of fake news spreading, who plays which role? A study on real graphs of spreading on Twitter
During the battle between fake news and truth in Twitter, users of each side take different
roles such as tweeting the original content or retweeting the published content, while some …
roles such as tweeting the original content or retweeting the published content, while some …