[HTML][HTML] Combating the menace: A survey on characterization and detection of fake news from a data science perspective
Journalism has always remained a vital constituent of our society and journalists play a key
role in making people aware of the happenings and developments in society. This spread of …
role in making people aware of the happenings and developments in society. This spread of …
ProBlock: a novel approach for fake news detection
The world is diving deeper into the digital age, and the sources of first information are
moving towards social media and online news portals. The chances of being misinformed …
moving towards social media and online news portals. The chances of being misinformed …
Stiffness analysis to predict the spread out of fake information
This work highlights how the stiffness index, which is often used as a measure of stiffness for
differential problems, can be employed to model the spread of fake news. In particular, we …
differential problems, can be employed to model the spread of fake news. In particular, we …
Analyzing biases in perception of truth in news stories and their implications for fact checking
Misinformation on social media has become a critical problem, particularly during a public
health pandemic. Most social platforms today rely on users' voluntary reports to determine …
health pandemic. Most social platforms today rely on users' voluntary reports to determine …
Realistic aspects of simulation models for fake news epidemics over social networks
The pervasiveness of online social networks has reshaped the way people access
information. Online social networks make it common for users to inform themselves online …
information. Online social networks make it common for users to inform themselves online …
An epidemic model to analyze the dynamics of malware propagation in rechargeable wireless sensor network
S Awasthi, N Kumar, PK Srivastava - Journal of Discrete …, 2021 - Taylor & Francis
Wireless sensor network (WSN) comprises thousand sensor nodes, which exchange data
from each other. Sensor network faces different types of problem such as energy constraint …
from each other. Sensor network faces different types of problem such as energy constraint …
Machine learning technique for fake news detection using text-based word vector representation
A Gaurav, BB Gupta, CH Hsu, A Castiglione… - Computational Data and …, 2021 - Springer
In the modern era, social media has taken off, and more individuals may now utilise it to
communicate and learn about current events. Although people get much of their information …
communicate and learn about current events. Although people get much of their information …
Learning to detect incongruence in news headline and body text via a graph neural network
This paper tackles the problem of detecting incongruities between headlines and body text,
where a news headline is irrelevant or even in opposition to the information in its body. Our …
where a news headline is irrelevant or even in opposition to the information in its body. Our …
Demystifying black-box learning models of rumor detection from social media posts
F Tafannum, MNS Shopnil, A Salsabil… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Social media and its users are vulnerable to the spread of rumors, therefore, protecting
users from the spread of rumors is extremely important. For this reason, we propose a novel …
users from the spread of rumors is extremely important. For this reason, we propose a novel …
An Ontological Approach to Detecting Irrelevant and Unreliable Information on Web-Resources and Social Networks
This paper considers an important scientific and applied task of identifying irrelevant and
unreliable information on web resources, which is an important area of development and …
unreliable information on web resources, which is an important area of development and …