Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
Online misinformation about climate change
KMI Treen, HTP Williams… - … Reviews: Climate Change, 2020 - Wiley Online Library
Policymakers, scholars, and practitioners have all called attention to the issue of
misinformation in the climate change debate. But what is climate change misinformation …
misinformation in the climate change debate. But what is climate change misinformation …
Effects of credibility indicators on social media news sharing intent
W Yaqub, O Kakhidze, ML Brockman… - Proceedings of the …, 2020 - dl.acm.org
In recent years, social media services have been leveraged to spread fake news stories.
Hel** people spot fake stories by marking them with credibility indicators could dissuade …
Hel** people spot fake stories by marking them with credibility indicators could dissuade …
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 …
A framework of severity for harmful content online
The proliferation of harmful content on online social media platforms has necessitated
empirical understandings of experiences of harm online and the development of practices …
empirical understandings of experiences of harm online and the development of practices …
False news on social media: a data-driven survey
In the past few years, the research community has dedicated growing interest to the issue of
false news circulating on social networks. The widespread attention on detecting and …
false news circulating on social networks. The widespread attention on detecting and …
[HTML][HTML] Measuring the impact of online personalisation: Past, present and future
Research on understanding, develo** and assessing personalisation systems is spread
over multiple disciplines and builds on methodologies and findings from several different …
over multiple disciplines and builds on methodologies and findings from several different …
Bert model for fake news detection based on social bot activities in the covid-19 pandemic
In the global pandemic, social media platforms are the primary source of information
exchange. Social bots are one of the main sources of misinformation in the COVID-19 …
exchange. Social bots are one of the main sources of misinformation in the COVID-19 …
[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 …
[HTML][HTML] Detection of fake news campaigns using graph convolutional networks
The detection of organised disinformation campaigns that spread fake news, by first
camouflaging them as real ones is crucial in the battle against misinformation and …
camouflaging them as real ones is crucial in the battle against misinformation and …