XFake is a tool that was developed to help people identify fake news.

XFake

MeVer NetworkX is a tool that was developed to help people identify misinformation on social media. Specifically it visualizes information from Twitter, Facebook, and Telegram.

MeVer NetworkX

Verify is a tool that utilizes visual analytics to help people identify misinformation. The number 2 in the name denotes that it is the latest development of this intervention.

Verifi2

Researchers have investigated the effects of correcting misinformation on social media related to COVID-19. They have looked at both the effectiveness of corrections from health organizations and individual accounts.

Correction to Misinformation in COVID-19 Research (Individual vs Organizational)

- XFake
- MeVer NetworkX
- Verifi2
- Correction (from Organization or Individual)

Davidson College

Some researchers have explored tools that can be implemented to minimize the dissemination of fake news or misinformation.

Interventions in Fake News/Misinformation Research

Yang, F., Pentyala, S. K., Mohseni, S., Du, M., Yuan, H., Linder, R., Ragan, E. D., Ji, S., & Hu, X. (2019, May). Xfake: Explainable fake news detector with visualizations. In The World Wide Web Conference (pp. 3600-3604).

Xfake: Explainable fake news detector with visualizations

Papadopoulou, O., Makedas, T., Apostolidis, L., Poldi, F., Papadopoulos, S., & Kompatsiaris, I. (2022). MeVer NetworkX: Network Analysis and Visualization for Tracing Disinformation. Future Internet, 14(5), 147.

MeVer NetworkX: Network Analysis and Visualization for Tracing Disinformation

Karduni, A., Cho, I., Wesslen, R., Santhanam, S., Volkova, S., Arendt, D. L., Shaikh, S., & Dou, W. (2019, March). Vulnerable to misinformation? Verifi!. In Proceedings of the 24th International Conference on Intelligent User Interfaces (pp. 312-323).

Vulnerable to misinformation? Verifi!

Seo, H., Xiong, A., Lee, S., & Lee, D. (2022, May). If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 16, pp. 896-907).

Learn Before

Related

Learn After