Fake news detection: Taxonomy and comparative study
The proliferation of social networks has presented a significant challenge in combating the
pervasive issue of fake news within modern societies. Due to the large amount of …
pervasive issue of fake news within modern societies. Due to the large amount of …
A review on fake news detection 3T's: typology, time of detection, taxonomies
Fake news has become an industry on its own, where users paid to write fake news and
create clickbait content to allure the audience. Apparently, the detection of fake news is a …
create clickbait content to allure the audience. Apparently, the detection of fake news is a …
OntoED: Low-resource event detection with ontology embedding
S Deng, N Zhang, L Li, H Chen, H Tou, M Chen… - ar** Review and Reflection
L Kavtaradze - Digital Journalism, 2024 - Taylor & Francis
As artificial intelligence (AI) has become pervasive in journalistic production, the influence of
algorithms on media practices has grown. We must always consider the interdisciplinary …
algorithms on media practices has grown. We must always consider the interdisciplinary …
An empiric validation of linguistic features in machine learning models for fake news detection
The diffusion of fake news is a growing problem with a high and negative social impact.
There are several approaches to address the detection of fake news. This work focuses on a …
There are several approaches to address the detection of fake news. This work focuses on a …
Fake opinion detection in an e-commerce business based on a long-short memory algorithm
N Alsharif - Soft Computing, 2022 - Springer
Online fake opinions, in the form of misleading reviews, about products or services are
harmful and impact consumers' decisions to purchase. Most consumers today, who are …
harmful and impact consumers' decisions to purchase. Most consumers today, who are …