OntoED: Low-resource event detection with ontology embedding
Event Detection (ED) aims to identify event trigger words from a given text and classify it into
an event type. Most of current methods to ED rely heavily on training instances, and almost …
an event type. Most of current methods to ED rely heavily on training instances, and almost …
Fake media detection based on natural language processing and blockchain approaches
Z Shahbazi, YC Byun - IEEE Access, 2021 - ieeexplore.ieee.org
Social media network is one of the important parts of human life based on the recent
technologies and developments in terms of computer science area. This environment has …
technologies and developments in terms of computer science area. This environment has …
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 …
Deep learning for fake news detection on Twitter regarding the 2019 Hong Kong protests
The dissemination of fake news on social media platforms is an issue of considerable
interest, as it can be used to misinform people or lead them astray, which is particularly …
interest, as it can be used to misinform people or lead them astray, which is particularly …
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 …
Deep learning for fake news detection in a pairwise textual input schema
In the past decade, the rapid spread of large volumes of online information among an
increasing number of social network users is observed. It is a phenomenon that has often …
increasing number of social network users is observed. It is a phenomenon that has often …
Chatting in a mobile chamber: effects of instant messenger use on tolerance toward political misinformation among South Koreans
Amid growing scholarly interest in identifying potential explanations for the persistence of
fake news from an international context, this study explores the relationship between instant …
fake news from an international context, this study explores the relationship between instant …
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 …
Digital misinformation and fake news detection using WoT integration with Asian social networks fusion based feature extraction with text and image classification by …
TL Surekha, NCS Rao, CK Shahnazeer… - Theoretical Computer …, 2022 - Elsevier
Fake News contains potentially false data that is verified. Concerns about author
accountability are being addressed by organizations such as the House of Commons and …
accountability are being addressed by organizations such as the House of Commons and …