
doi: 10.46763/scgw222483s
This paper analyzes the term „political correctness“ and its use or rather misuse in a modern, liberal world. In general, the political correctness (or politically correct, commonly abbreviated PC), is a term used to describe language, policies, or measures that are intended to avoid offense or disadvantage to members of particular groups in society. And in this sense, there is nothing controversial in PC. But lately, becoming mainstream politics, PC turned into a tool of oppression, danger for the diversity of opinions in a democracy, and thus a form of oppression of the ruling class. From this, it becomes obviously that our analysis will be based on the Marxist theoretical framework, or more precisely neo-Marxist. We will use Jacques Rancière`s understanding of the politics as a dissensus to show how PC suffocates the political itself and the very essence of politics. We will also rely on logical analysis to demonstrate some of the inherent inconsistency of political correctness. And finally, we will try to show political correctness as a dystopian, regressive concept that preserves the existing political order.
Political Science, Philosophy, ethics and religion
Political Science, Philosophy, ethics and religion
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
