1. Jordan, S., Hovet, S., Fung, I., Liang, H., Fu, K. W., & Tse, Z. (2019). Using Twitter for public health surveillance from monitoring and prediction to public response. Data, 4(1), 6.
2. Stieglitz, S., Mirbabaie, M., Ross, B., & Neuberger, C. (2018). Social media analytics–challenges in topic discovery, data collection, and data preparation. International Journal of Information Management, 39, 156–168.
3. Paul, M. J., & Dredze, M. (2014). Discovering health topics in social media using topic models. PLoS ONE, 9(8), e103408.
4. Prier, K. W., Smith, M. S., Giraud-Carrier, C., & Hanson, C. L. (2011). Identifying health-related topics on twitter. In International conference on social computing, behavioral-cultural modeling, and prediction (pp. 18–25). Berlin, Heidelberg: Springer.
5. Beykikhoshk, A., Arandjelović, O., Phung, D., Venkatesh, S., & Caelli, T. (2015). Using Twitter to learn about the autism community. Social Network Analysis and Mining, 5(1), 22.