Yang, K.-C., Pierri, F., Hui, P.-M., Axelrod, D., Torres-Lugo, C., Bryden, J., & Menczer, F. (2020). The COVID-19 Infodemic: Twitter versus Facebook. ArXiv:2012.09353 [Cs]. http://arxiv.org/abs/2012.09353

Darren Dahly. (2019, September 4). It seems appropriate to do a thread on our recent session about the use of Twitter by statisticians. Https://t.co/eFwLDuXnOU [Tweet]. @statsepi. https://twitter.com/statsepi/status/1169313702715281408

Arqoub, O. A., Elega, A. A., Özad, B. E., Dwikat, H., & Oloyede, F. A. (2020). Mapping the Scholarship of Fake News Research: A Systematic Review. Journalism Practice, 0(0), 1–31. https://doi.org/10.1080/17512786.2020.1805791

Motta, M., Stecula, D., & Farhart, C. E. (2020). How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/a8r3p

Weed, M. (2020). Models and methods to analyse the interaction of evidence and policy in the first 100 days of the UK government’s response to COVID-19 (v1.1). https://doi.org/10.31235/osf.io/f73u4

Chong, D., & Druckman, J. N. (2007). Framing Theory. Annual Review of Political Science, 10(1), 103–126. https://doi.org/10.1146/annurev.polisci.10.072805.103054

Krippendorff, aquí en la bibliografía: Content analysis. An introduction to its methodology.

I came across this article while doing research for last week’s blog. I know this is not a straight forward SNA article, but I found it very interesting since it is a combination of SNA and content analysis. Considering this week’s readings on different data collection method, I found their approach of collecting data from Twitter very unique. In this context, content analysis refers to analyzing tweets and their content. Recently, content analysis is being used in various fields. Even social researchers are taking this opportunity of exploring already existing data. Do you think you can use the combination of both SNA and content analysis in your own research field?