Sarah Mojarad. (2020, October 23). What are some of the positive consequences of social media? Would love to hear your stories! [Tweet]. @Sarah_Mojarad. https://twitter.com/Sarah_Mojarad/status/1319722197766733825

Anderson, Ian, and Wendy Wood. ‘Habits and the Electronic Herd: The Psychology behind Social Media’s Successes and Failures’. PsyArXiv, 23 November 2020. https://doi.org/10.31234/osf.io/p2yb7.

ReconfigBehSci {@SciBeh} (2020) sadly squares with my own impression of social media 'debate' - as someone who works on both argumentation and belief formation across social networks, this strikes me as every bit as big a problem as the spread of conspiracy. Twitter. Retrieved from: https://twitter.com/i/web/status/1308341816333340672

Cargnino. M., Neubaum. G., Winter. S., (2020) We're a Good Match: Selective Political Friending on Social Networking Sites. PSyarxiv. Retrieved from: https://psyarxiv.com/9dmgf/

Webinar: Virtual Networking for Nerds: How to network and find collaborations from afar. (n.d.). Retrieved 10 August 2020, from https://youtu.be/pdZyxs4resc

Shahal, S., Wurzberg, A., Sibony, I., Duadi, H., Shniderman, E., Weymouth, D., Davidson, N., & Fridman, M. (2020). Synchronization of complex human networks. Nature Communications, 11(1), 3854. https://doi.org/10.1038/s41467-020-17540-7

Sakakibara, R., & Ozono, H. (2020). Psychological Research on the COVID-19 Crisis in Japan: Focusing on Infection Preventive Behaviors, Future Prospects, and Information Dissemination Behaviors. https://doi.org/10.31234/osf.io/97zye

Yucel, M., Sjobeck, G., Glass, R., & Rottman, J. (2020). Gossip, Sabotage, and Friendship Network Dataset [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/m6tsx

Nguyen, C. T., Saputra, Y. M., Van Huynh, N., Nguyen, N.-T., Khoa, T. V., Tuan, B. M., Nguyen, D. N., Hoang, D. T., Vu, T. X., Dutkiewicz, E., Chatzinotas, S., & Ottersten, B. (2020). Enabling and Emerging Technologies for Social Distancing: A Comprehensive Survey. ArXiv:2005.02816 [Physics]. http://arxiv.org/abs/2005.02816

Maybe annotation could put "tweet" sized things into context and thereby avoid the "argument machine."

Rashly assuming anyone will actually take time to read the context and the comment...