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[HTML][HTML] Emotion detection for misinformation: A review
With the advent of social media, an increasing number of netizens are sharing and reading
posts and news online. However, the huge volumes of misinformation (eg, fake news and …
posts and news online. However, the huge volumes of misinformation (eg, fake news and …
A comprehensive survey on machine learning approaches for fake news detection
The proliferation of fake news on social media platforms poses significant challenges to
society and individuals, leading to negative impacts. As the tactics employed by purveyors of …
society and individuals, leading to negative impacts. As the tactics employed by purveyors of …
Dual emotion based fake news detection: A deep attention-weight update approach
The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …
environment. This phenomenon requires automated detection of fake news to reduce its …
Rumor detection on social media with graph adversarial contrastive learning
Rumors spread through the Internet, especially on Twitter, have harmed social stability and
residents' daily lives. Recently, in addition to utilizing the text features of posts for rumor …
residents' daily lives. Recently, in addition to utilizing the text features of posts for rumor …
Mining dual emotion for fake news detection
Emotion plays an important role in detecting fake news online. When leveraging emotional
signals, the existing methods focus on exploiting the emotions of news contents that …
signals, the existing methods focus on exploiting the emotions of news contents that …
A survey on stance detection for mis-and disinformation identification
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
important role in systems for detecting false information online, be it misinformation …
Detecting offensive speech in conversational code-mixed dialogue on social media: A contextual dataset and benchmark experiments
Abstract The spread of Hate Speech on online platforms is a severe issue for societies and
requires the identification of offensive content by platforms. Research has modeled Hate …
requires the identification of offensive content by platforms. Research has modeled Hate …
Review of stance detection for rumor verification in social media
HF Alsaif, HD Aldossari - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Social media is a perfect breeding ground for false rumors due to the simplicity of sharing
information, which may have negative implications in a variety of domains, including …
information, which may have negative implications in a variety of domains, including …
Rumor2vec: a rumor detection framework with joint text and propagation structure representation learning
K Tu, C Chen, C Hou, J Yuan, J Li, X Yuan - Information Sciences, 2021 - Elsevier
Rumors often yield adverse societal and economic impacts. Therefore, rumor detection has
attracted a surge of research interests. Existing methods mainly focus on finding clues from …
attracted a surge of research interests. Existing methods mainly focus on finding clues from …
Rumors detection, verification and controlling mechanisms in online social networks: A survey
Due to the rapid exchange of information and large user base of social networking sites,
these are focused for gathering the latest information or news from people over the world …
these are focused for gathering the latest information or news from people over the world …