[HTML][HTML] Deep learning for fake news detection: A comprehensive survey
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
The future of false information detection on social media: New perspectives and trends
The massive spread of false information on social media has become a global risk, implicitly
influencing public opinion and threatening social/political development. False information …
influencing public opinion and threatening social/political development. False information …
[HTML][HTML] FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
RK Kaliyar, A Goswami, P Narang - Multimedia tools and applications, 2021 - Springer
In the modern era of computing, the news ecosystem has transformed from old traditional
print media to social media outlets. Social media platforms allow us to consume news much …
print media to social media outlets. Social media platforms allow us to consume news much …
Detecting fake news by exploring the consistency of multimodal data
During the outbreak of the new Coronavirus (2019-nCoV) in 2020, the spread of fake news
has caused serious social panic. Fake news often uses multimedia information such as text …
has caused serious social panic. Fake news often uses multimedia information such as text …
Emotion recognition by textual tweets classification using voting classifier (LR-SGD)
The proliferation of user-generated content on social media has made opinion mining an
arduous job. As a microblogging platform, Twitter is being used to collect views about …
arduous job. As a microblogging platform, Twitter is being used to collect views about …
Rumor detection with hierarchical social attention network
Microblogs have become one of the most popular platforms for news sharing. However, due
to its openness and lack of supervision, rumors could also be easily posted and propagated …
to its openness and lack of supervision, rumors could also be easily posted and propagated …
MDMN: Multi-task and Domain Adaptation based Multi-modal Network for early rumor detection
With the development of social media, people tend to express their opinions on multimedia
such as text, photos, audios, and videos. Meanwhile, more rumors hiding in multi-modal …
such as text, photos, audios, and videos. Meanwhile, more rumors hiding in multi-modal …
Exploring deep neural networks for rumor detection
The widespread propagation of numerous rumors and fake news have seriously threatened
the credibility of microblogs. Previous works often focused on maintaining the previous state …
the credibility of microblogs. Previous works often focused on maintaining the previous state …
A review on rumour prediction and veracity assessment in online social network
D Varshney, DK Vishwakarma - Expert Systems with Applications, 2021 - Elsevier
In the present era, the social network is used as an important medium for sharing thoughts
and opinions of an individual. The main reason behind this is, it provides a fast-spreading of …
and opinions of an individual. The main reason behind this is, it provides a fast-spreading of …
When the timeline meets the pipeline: A survey on automated cyberbullying detection
Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …