Being of oldest central-european digital communities with a particular threaded architecture and a stabilized town-sized user base, text stored in 7.96 million public nodes of the project Kyberia.sk provides a dataset against which many conjectures or assumptions can be validated. Our study departed from a popular assumption that online discussions tend to culminate with comparisons involving Nazis or Hitler. After extraction of 4.4 million distinct word type tokens and calculation of a "word type polarization score" defined as ... we observed word types relating to Marx, Trump and Hitler to be highest positioned non-slovak personal names in the polarization score ranking. Asides this, the ranking is, indeed, dominated by diverse forms of nazism-related terms, vulgarisms, insults and other terms with predominantly negative connotation but also words related to topics like politics, church or ethnicity. Also, the fact that verbs - often negated - in their 2nd person singular form tend to be more frequent among the top terms of polarization score ranking than 1st person verb forms, points to potential existence of interplay of linguistic, memetic phenomena with that of psychological projection. All data used for the analysis as well as the source code of a trivial 20-line determinstic algorithm which yielded our results are published so that absolute reproducibility of our study is assured.

P.S. Fico vstúpi do análov histórie

P.P.S. Keby mi chcel niekto pomôcť s týmto článkom tak sa prosím ozvite.