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[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …
which the way individuals communicate with one another. People trust social networks …
[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 …
[HTML][HTML] Fake News Classification using transformer based enhanced LSTM and BERT
Fake News has been a concern all over the world and social media has only amplified this
phenomenon. Fake News has been affecting the world on a large scale as these are …
phenomenon. Fake News has been affecting the world on a large scale as these are …
A taxonomy of fake news classification techniques: Survey and implementation aspects
In the present era, social media platforms such as Facebook, WhatsApp, Twitter, and
Telegram are significant sources of information distribution, and people believe it without …
Telegram are significant sources of information distribution, and people believe it without …
An open automation system for predatory journal detection
The growing number of online open-access journals promotes academic exchanges, but the
prevalence of predatory journals is undermining the scholarly reporting process. Data …
prevalence of predatory journals is undermining the scholarly reporting process. Data …
TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection
Compared to ordinary news, fake news is characterized by faster dissemination and lower
production cost and therefore causes a great social harm. For these reasons, the challenge …
production cost and therefore causes a great social harm. For these reasons, the challenge …
Rumorllm: A rumor large language model-based fake-news-detection data-augmentation approach
With the rapid development of the Internet and social media, false information, rumors, and
misleading content have become pervasive, posing significant threats to public opinion and …
misleading content have become pervasive, posing significant threats to public opinion and …
[HTML][HTML] Public's mental health monitoring via sentimental analysis of financial text using machine learning techniques
Public feelings and reactions associated with finance are gaining significant importance as
they help individuals, public health, financial and non-financial institutions, and the …
they help individuals, public health, financial and non-financial institutions, and the …
Poirot: Causal Correlation Aided Semantic Analysis for Advanced Persistent Threat Detection
J Yang, Q Zhang, X Jiang, S Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The volatile, covert and slow multistage attack patterns of Advanced Persistent Threat (APT)
present a tricky challenge of APT detection, which are vital for organisations to protect their …
present a tricky challenge of APT detection, which are vital for organisations to protect their …
Hoax classification and sentiment analysis of Indonesian news using Naive Bayes optimization
Currently, the spread of hoax news has increased significantly, especially on social media
networks. Hoax news is very dangerous and can provoke readers. So, this requires special …
networks. Hoax news is very dangerous and can provoke readers. So, this requires special …