Networked authoritarianism may contain the seeds of its own undoing

James Scott's 1998 classic Seeing Like a State describes how governments shoehorn the governed into countable, manageable ways of living and working so that they can be counted and steered by state bureaucracies. Political scientist Henry Farrell (previously) discusses how networked authoritarianism is touted by its advocates as a way of resolving the problems of state-like seeing, because if a state spies on people enough and allows machine-learning systems to incorporate their behavior and respond to it, it is possible to create "a more efficient competitor that can beat democracy at its home game" — providing for everyone's needs better than a democracy could.

Using information security to explain why disinformation makes autocracies stronger and democracies weaker

The same disinformation campaigns that epitomize the divisions in US society — beliefs in voter fraud, vaccine conspiracies, and racist conspiracies about migrants, George Soros and Black Lives Matter, to name a few — are a source of strength for autocracies like Russia, where the lack of a consensus on which groups and views are real and which are manufactured by the state strengthens the hand of Putin and his clutch of oligarchs.

Neither Huxleyed, nor Orwelled: living in the Phildickian dystopia

Political scientist and sf fan Henry Farrell (previously) argues persuasively that the dystopian elements of our everyday life are best viewed through the lens of Philip K Dick (whose books repeatedly depicted a world of constructed realities, whose true nature was obscured by totalitarians, conspiracies, and broken computers) and not Orwell or Huxley, whose computers and systems worked altogether too well to be good parallels for today's janky dystopia.