A systematic literature review on disinformation: Toward a unified taxonomical framework
The scale, volume, and distribution speed of disinformation raise concerns in governments,
businesses, and citizens. To respond effectively to this problem, we first need to …
businesses, and citizens. To respond effectively to this problem, we first need to …
Social media strategies to affect vaccine acceptance: a systematic literature review
Introduction: Vaccine hesitancy, defined as a delay in the acceptance or the refusal of
vaccines despite their availability, is a growing global threat. More individuals are turning to …
vaccines despite their availability, is a growing global threat. More individuals are turning to …
Trends in combating fake news on social media–a survey
Social media following its introduction has witnessed a lot of scholarly attention in recent
years due to its growing popularity. These various social media sites have become the …
years due to its growing popularity. These various social media sites have become the …
Detecting fake news with machine learning method
S Aphiwongsophon… - 2018 15th international …, 2018 - ieeexplore.ieee.org
Fake news has immense impact in our modern society. Detecting Fake news is an important
step. This work proposes the use of machine learning techniques to detect Fake news …
step. This work proposes the use of machine learning techniques to detect Fake news …
Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach
Modeling discussions on social networks is a challenging task, especially if we consider
sensitive topics, such as politics or healthcare. However, the knowledge hidden in these …
sensitive topics, such as politics or healthcare. However, the knowledge hidden in these …
Online users' attitudes toward fake news: Implications for brand management
This study examines brands' vulnerability to fake news. The rapid spread of online
misinformation poses challenges to brand managers, whose brands are cocreated online …
misinformation poses challenges to brand managers, whose brands are cocreated online …
Fake news detection based on explicit and implicit signals of a hybrid crowd: An approach inspired in meta-learning
The problem of automatic Fake News detection in digital media of news distribution (DMND-
eg, social networks, online newspaper, etc) has become even more relevant. Among the …
eg, social networks, online newspaper, etc) has become even more relevant. Among the …
Fake news identification and classification using DSSM and improved recurrent neural network classifier
The widespread use of social media has enormous consequences for the society, culture
and business with potentially positive and negative effects. As online social networks are …
and business with potentially positive and negative effects. As online social networks are …
A framework of fake news detection on web platform using ConvNet
Social media and web have become popular platforms of information sharing, knowledge
gathering, expressing sentiments, perceiving choices regarding products and services …
gathering, expressing sentiments, perceiving choices regarding products and services …
A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities
The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …
represents a growing societal concern with far-reaching implications. Its ubiquitous …