[HTML][HTML] Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study
Fake news has now grown into a big problem for societies and also a major challenge for
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
Are you a cyborg, bot or human?—a survey on detecting fake news spreaders
One of the major components of Societal Digitalization is Online social networks (OSNs).
OSNs can expose people to different popular trends in various aspects of life and alter …
OSNs can expose people to different popular trends in various aspects of life and alter …
Natural language processing based online fake news detection challenges–A detailed review
VV Hirlekar, A Kumar - 2020 5th International Conference on …, 2020 - ieeexplore.ieee.org
Online social media plays an important role during real world events such as natural
calamities, elections, social movements etc. Since the social media usage has increased …
calamities, elections, social movements etc. Since the social media usage has increased …
[HTML][HTML] Alphabet flatting as a variant of n-gram feature extraction method in ensemble classification of fake news
The detection of disinformation becomes a significant challenge in the modern world. Most
of our communication media and most of the sources of information about reality are located …
of our communication media and most of the sources of information about reality are located …
A survey on video-based fake news detection techniques
In today's world, fake news identification is a critical problem. Fake news may exist in form of
text, images and videos also. There are several techniques exist for fake news detection …
text, images and videos also. There are several techniques exist for fake news detection …
Machine Learning Based Approach to Disinformation Detection Using Twitter Data
S Yadav, C Kumar - 2023 International Conference for …, 2023 - ieeexplore.ieee.org
Fake news detection on social media has assumed enhanced importance and is a trending
research topics for data analysts around the world. While most of fake news may be aimed at …
research topics for data analysts around the world. While most of fake news may be aimed at …
Combating misinformation dissemination through verification and content driven recommendation
S Hawa, L Lobo, U Dogra… - 2021 Third International …, 2021 - ieeexplore.ieee.org
The COVID 19 pandemic is a humanitarian emergency that poses an enormous threat to
society and has impacted various social media platforms and journalism. News and social …
society and has impacted various social media platforms and journalism. News and social …
A Survey of Machine Learning Technique for Topic Modeling and Word Embedding
“Word embedding” is a key phrase in natural language processing that describes how words
are expressed as real-valued vectors for text analysis. A breakthrough in natural language …
are expressed as real-valued vectors for text analysis. A breakthrough in natural language …
Feature Integration Strategies for Multilingual Fake News Classification
The abundance of information in digital media, which in today's world is the main source of
knowledge about current events for the masses, makes it possible to spread disinformation …
knowledge about current events for the masses, makes it possible to spread disinformation …
Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification
The abundance of information in digital media, which in today's world is the main source of
knowledge about current events for the masses, makes it possible to spread disinformation …
knowledge about current events for the masses, makes it possible to spread disinformation …