  We argue that behavioral science models of online content-sharing overlook
the role of strategic interactions between users. Borrowing from
accuracy-nudges studies decision-theoretic models, we propose a basic game
model and explore special cases with idealized parameter settings to identify
refinements necessary to capture real-world online social network behavior.
Anticipating those refinements, we sketch a strategic analysis of content
amplification and draw a connection between Keynes's beauty contest analogy and
recent social-epistemological work on echo chambers. We conclude on the model's
prospects from analytical and empirical perspectives.
