Conceptualizing commodification bias in algorithmic modern news exchange 55 remove suspicious content but develop strategies of downrank such content in their algorithms of newsfeed rankings (Iosifidis and Nicoli, 2020, 74). Facebook and Google as well as Twitter for numerous years have been developing their own algorithmbased systems of fact-checking. We know a large scandal related to the removal of the so-called “Blue” subscription for “checked” Twitter accounts. As conclusion, we may see that private platforms are making commodifiable not only the social interactions and fake news which such social interactions generate but also the fact checking procedure. The reason is very simple. Even if Facebook, Twitter and Google are announcing their own fact- checking as a social achievement, such platforms are commer- cial. Capitalism tends always to turn any initiative into profit and colonize non-commercial by commercial. References Ball-Rokeach, Sandra, DeFleur, Melvin. (1976). A Dependency Model of Mass-Media Effects. Communication Research. 1976; 3(1):3-21. Bennett, Lance, Livingston, Steven. (2018). The disinformation order: Disruptive communication and the decline of democratic institutions, European Journal of Communication, Vol. 33(2) 122–139 Berger J., Milkman K. (2012). Social transmission, emotion, and the virality of online content, Wharton research paper, 106 (2012), pp. 1-52 Blumler, Jay & Katz, Elihu. (1974). The uses of mass communications: Current perspectives on gratifications research. Beverly Hills, CA: Sage. Boltanski, Luc and Chiapello, Eve (2005). The new spirit of capitalism. London: Verso. Castells, Manuel (2009). Communication power. Oxford: Oxford University Press. Compaine, Benjamin. (2005), The Media Monopoly Myth, New York: New Millenium Research Council.
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