On the Design of a Misinformation Widget (MsW) Against Cloaked Science

Author:

Arroyo DavidORCID,Degli-Esposti SaraORCID,Gómez-Espés Alberto,Palmero-Muñoz Santiago,Pérez-Miguel Luis

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Antenore, M., Camacho Rodriguez, J.M., Panizzi, E.: A comparative study of bot detection techniques with an application in Twitter Covid-19 discourse. Soc. Sci. Comput. Rev. 08944393211073733 (2022)

2. Cresci, S.: A decade of social bot detection. Commun. ACM 63(10), 72–83 (2020). https://doi.org/10.1145/3409116

3. Donovan, J., Nilsen, J.: Cloaked science: the Yan reports. Media Manipulation Casebook (2021). https://mediamanipulation.org/case-studies/cloaked-science-yan-reports

4. Garimella, K., Morales, G.D.F., Gionis, A., Mathioudakis, M.: Quantifying controversy in social media. CoRR abs/1507.05224 (2015). http://arxiv.org/abs/1507.05224

5. Hounsel, A., Holland, J., Kaiser, B., Borgolte, K., Feamster, N., Mayer, J.: Identifying disinformation websites using infrastructure features. In: 10th $$\{$$USENIX$$\}$$ Workshop on Free and Open Communications on the Internet ($$\{$$FOCI$$\}$$ 2020) (2020)

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