I've been thinking about it for a while but even if all social sites were interoperable, I suspect that a small handful of 2 or 3 would have the largest market share. This is as the result of some of the network theory and research found in Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life by Alberto-Llaszlo Barabasi

Devriendt, K., Martin-Gutierrez, S., & Lambiotte, R. (2020). Variance and covariance of distributions on graphs. ArXiv:2008.09155 [Physics, Stat]. http://arxiv.org/abs/2008.09155

Kiss, I. Z., Miller, J., & Simon, P. L. (2017). Mathematics of Epidemics on Networks: From Exact to Approximate Models. Springer International Publishing. https://doi.org/10.1007/978-3-319-50806-1

Thurner, S., Klimek, P., & Hanel, R. (2020). A network-based explanation of why most COVID-19 infection curves are linear. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2010398117

Starominski-Uehara, M. (2020). Powering Social Media Footage: Simple Guide for the Most Vulnerable to Make Emergency Visible [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/gefhv

Yang, G., Csikász-Nagy, A., Waites, W., Xiao, G., & Cavaliere, M. (2020). Information Cascades and the Collapse of Cooperation. Scientific Reports, 10(1), 8004. https://doi.org/10.1038/s41598-020-64800-z

Candelieri, A., Giordani, I., Ponti, A., & Archetti, F. (2020). Resilience in urban networked infrastructure: The case of Water Distribution Systems. ArXiv:2006.14622 [Physics]. http://arxiv.org/abs/2006.14622

Plata, C. A., Pigani, E., Azaele, S., Callejas, V., Palazzi, M. J., Solé-Ribalta, A., Meloni, S., & Suweis, J. B.-H. S. (2020). Neutral Theory for competing attention in social networks. ArXiv:2006.07586 [Physics]. http://arxiv.org/abs/2006.07586

Yu, Y. W., Delvenne, J.-C., Yaliraki, S. N., & Barahona, M. (2020). Severability of mesoscale components and local time scales in dynamical networks. ArXiv:2006.02972 [Physics]. http://arxiv.org/abs/2006.02972

Blanchard, M. A., & Heeren, A. (2020). Why We Should Move from Reductionism and Embrace a Network Approach to Parental Burnout? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/y34cq

Porter, E. & Wood. T.J. (2020 May 14). Why is Facebook so afraid of checking facts? Wired. https://www.wired.com/story/why-is-facebook-so-afraid-of-checking-facts/

Zdeborová, L. (2020). Understanding deep learning is also a job for physicists. Nature Physics, 1–3. https://doi.org/10.1038/s41567-020-0929-2

Ball, P. (2020). Anti-vaccine movement could undermine efforts to end coronavirus pandemic, researchers warn. Nature, 581(7808), 251–251. https://doi.org/10.1038/d41586-020-01423-4

Vasiliauskaite, V., & Rosas, F. E. (2020). Understanding complexity via network theory: A gentle introduction. ArXiv:2004.14845 [Physics]. http://arxiv.org/abs/2004.14845

Useful approach (reminiscent of ANT), especially if paired with a community-based approach.

Sounds like there’s been a bit of a move towards partnership, recently. But much discourse on automation is about the complete exclusion of human intervention.

Actor Network Theory is a powerful framework under which we can understand complex socio-technical assemblages. To justify using it through an extreme reductionist interpretation that "critical theory = absolutism" doesn't seem to do it justice.

Asu Ozdaglar - “Spread of Information and Misinformation in Social Networks”