Mike Benz:

SUMMARY

“The field of mis- and disinformation studies is here to stay.” So declares the opening line of a report titled “Mis- and disinformation studies are too big to fail: Six suggestions for the field’s future,” published last September by the Harvard Misinformation Review, housed within the Harvard Kennedy School of Public Policy and Government. 

“Disinformation studies” is academic speak for online censorship. As the Harvard report itself concedes, the field was born “after Brexit and the election of Donald Trump—arguably catalysts for the emergence of the field.” That is, per Harvard, the involvement of US academics in online censorship happened as a reactionary response to right-wing populist political success on both sides of the Atlantic. 

As a technical matter, “disinformation studies” is a merger of social sciences (psychology, sociology, anthropology) and computer sciences (AI, machine learning, network theory), each converging on a common target (law-abiding citizens) to censor on social media. University social science teams conduct a “network mapping” of so-called “misinformation communities” online for takedown, and their findings are converted into specific algorithm targets by the university computer science teams.