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 …
Combating disinformation in a social media age
The creation, dissemination, and consumption of disinformation and fabricated content on
social media is a growing concern, especially with the ease of access to such sources, and …
social media is a growing concern, especially with the ease of access to such sources, and …
Using deep learning models to detect fake news about COVID-19
The proliferation of mobile networked devices has made it easier and faster than ever for
people to obtain and share information. However, this occasionally results in the …
people to obtain and share information. However, this occasionally results in the …
Motivations, methods and metrics of misinformation detection: an NLP perspective
The rise of misinformation online and offline reveals the erosion of long-standing institutional
bulwarks against its propagation in the digitized era. Concerns over the problem are global …
bulwarks against its propagation in the digitized era. Concerns over the problem are global …
Unsupervised fake news detection based on autoencoder
D Li, H Guo, Z Wang, Z Zheng - IEEE access, 2021 - ieeexplore.ieee.org
With the development of social networks, the spread of fake news brings great negative
effects to people's daily life, and even causes social panic. Fake news can be regarded as …
effects to people's daily life, and even causes social panic. Fake news can be regarded as …
Rumor, misinformation among web: a contemporary review of rumor detection techniques during different web waves
Sometimes, unverified information is disseminated as if it is true information on social media
sites. Most of the times, it goes viral and affects the belief of people and their emotions …
sites. Most of the times, it goes viral and affects the belief of people and their emotions …
Stance detection with BERT embeddings for credibility analysis of information on social media
The evolution of electronic media is a mixed blessing. Due to the easy access, low cost, and
faster reach of the information, people search out and devour news from online social …
faster reach of the information, people search out and devour news from online social …
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Abstract Machine scheduling aims to optimally assign jobs to a single or a group of
machines while meeting manufacturing rules as well as job specifications. Optimizing the …
machines while meeting manufacturing rules as well as job specifications. Optimizing the …
Novel approaches for fake news detection based on attention-based deep multiple-instance learning using contextualized neural language models
KM Karaoğlan - Neurocomputing, 2024 - Elsevier
With the rapid growth of social media and online news sources, the spread of fake news
(FN) has become a significant concern. Classifying FN requires sophisticated approaches to …
(FN) has become a significant concern. Classifying FN requires sophisticated approaches to …
Lambretta: learning to rank for Twitter soft moderation
To curb the problem of false information, social media platforms like Twitter started adding
warning labels to content discussing debunked narratives, with the goal of providing more …
warning labels to content discussing debunked narratives, with the goal of providing more …