Deep learning for misinformation detection on online social networks: a survey and new perspectives

MR Islam, S Liu, X Wang, G Xu - Social Network Analysis and Mining, 2020 - Springer
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 …

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 …

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 …

The future of false information detection on social media: New perspectives and trends

B Guo, Y Ding, L Yao, Y Liang, Z Yu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
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 …

A framework of severity for harmful content online

MK Scheuerman, JA Jiang, C Fiesler… - Proceedings of the ACM …, 2021 - dl.acm.org
The proliferation of harmful content on online social media platforms has necessitated
empirical understandings of experiences of harm online and the development of practices …

False news on social media: a data-driven survey

F Pierri, S Ceri - ACM Sigmod Record, 2019 - dl.acm.org
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 …

[HTML][HTML] Measuring the impact of online personalisation: Past, present and future

M Zanker, L Rook, D Jannach - International Journal of Human-Computer …, 2019 - Elsevier
Research on understanding, develo** and assessing personalisation systems is spread
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

M Heidari, S Zad, P Hajibabaee… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Emotion detection for misinformation: A review

Z Liu, T Zhang, K Yang, P Thompson, Z Yu… - Information …, 2024 - Elsevier
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 …

[HTML][HTML] Detection of fake news campaigns using graph convolutional networks

D Michail, N Kanakaris, I Varlamis - International Journal of Information …, 2022 - Elsevier
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 …