1. Aarøe, L., & Petersen, M. (2018). Cognitive biases and communication strength in social net- works: The case of episodic frames. British Journal of Political Science, 50, 1–21.
2. Bhatia, A. (2015). Construction of discursive illusions in the ‘umbrella movement.’ Discourse & Society, 26(4), 407–427.
3. Andrew M. (2002). Mallet: A machine learning for language toolkit. http://mallet.cs.umass.edu.
4. Baden, C., Christian, P., Martijn, S., Mariken, A. C., & van der Velden, G. (2021). Three gaps in computational text analysis methods for social sciences: A research agenda. Communication Methods and Measures, 16, 1–18.
5. Barrault L., Ondřej B., Marta R. C.-J., Christian F., Mark F., Yvette G., Barry H., Matthias H., Philipp K., Shervin M., Christof M., Mathias M., Santanu P., Matt P., and Marcos Z. (2019). Findings of the 2019 Conference on Machine Translation (WMT19). In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 1–61, Florence, Italy. Association for Computational Linguistics.