There was an interesting article recently in Quartz about 2020 electoral disinformation in Spanish-language social media. While the major platforms have taken credit for the fact that the election did not feature a repeat of the coordinated foreign influence operations of 2016, arguably the victory lap came somewhat too soon, as the problem cases in the information sphere this cycle are only gradually coming to light. Post-electoral myth-building about a rigged process and a stolen victory, for one, while of little practical import for the present, has the potential to plant a deep, lasting sense of grievance in conservative political culture in the US over the long term. Similarly, the fact that less public attention, less civil-society scrutiny, less community-based new-media literacy, and less algorithmic refinement were available for Spanish-speaking electoral discourse meant that disinformation was allowed to expand much more broadly and deeply than in English. The mainstream liberal narrative that such a fact per se helps explain the disappointing electoral results of the Democratic Party with this demographic (especially in States like Florida or Texas) is itself fairly insensitive and stereotyped. The Latinx electorate in the US is not a monolith, and segments within it have distinct political preferences, which are no more the product of disinformation than anyone else’s. Yet, it seems clear that in this electoral campaign factually false political statements received less pushback, both from above and from below, when they were uttered in Spanish.

Two general facts are illustrated by this example. On the one hand, because of the production and distribution dynamics of disinformation, it is clear that its spread follows a path of least resistance: minority languages, like peripheral countries or minor social media platforms, while unlikely to be on the cutting edge of new disinformation, tend to be more permeable to stock disinformation that has been rebutted elsewhere. On the other hand, where disinformation has the ability to do the most damage is in spaces where it is unexpected, in fields that are considered separate and independent, subject to different rules of engagement. In this sense, fake news does not simply provide partisans with ‘factual’ reasons to feel how they already felt about their adversaries: it can legitimately catch the unsuspecting unawares. One of the reasons for disinformation’s massive impact on American public discourse is that in a hyper-partisan era all manner of domains in everyday life once completely divorced from politics have been reached by political propaganda, and in these contexts a weary habituation with such wrangling has not yet set in, effectively tuning them out. This dynamic has been reflected in social media platforms: the ‘repurposing’ of LinkedIn and NextDoor in connection with the BLM protests is telling.

So, if disinformation at its most effective is the insertion of narratives where they are least expected, and if its spread follows a path of least resistance, seeking out the weakest link (while its containment follows an actuarial logic, the most effort being placed where the highest return is expected), what does this portend for the possibility of a unitary public sphere?

There is reason to believe that these are long-run concerns, and that the Presidential campaign may have been the easy part. As Ellen Goodman and Karen Kornbluh mention in their platform electoral performance round-up,

That there was clearly authoritative local information about voting and elections made the platforms’ task easier. It becomes harder in other areas of civic integrity where authority is more contested.

Foreign counterexamples such as that of Taiwan reinforce the conundrum: cohesive societies are capable of doing well against disinformation, but in already polarized ones a focus on such a fight is perceived as being a partisan stance itself.