1. Cooper, Jr., G.P., Yeager, V., Burkle, Jr., F.M., Subbarao, I.: Twitter as a potential disaster risk reduction tool. Part I: introduction, terminology, research and operational applications. PLoS Curr. 7 (2015)
2. Halawi, B., Mourad, A., Otrok, H., Damiani, E.: Few are as good as many: an ontology-based tweet spam detection approach. IEEE Access 6, 63890–63904 (2018)
3. Vosoughi, S.: Automatic detection and verification of rumors on Twitter. Mit.edu. Url: https://www.media.mit.edu/cogmac/publications/Soroush_Vosoughi_PHD_thesis.pdf
4. Kolos, S.: Hashtag as a Way of Archiving and Distributing Information on the Internet
5. Davidov, D., Tsur, O., Rappoport, A.: Enhanced sentiment learning using Twitter hashtags and smileys. In: Coling 2010: Posters, Aug 2010, pp. 241–249