Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2017
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2017
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Psycho-Linguistic Explication of Verbal Aggression

Authors: Kholod Oleksandr;

Psycho-Linguistic Explication of Verbal Aggression

Abstract

ABSTRACT The purpose of our study was to find markers of psycholinguistic explication of verbal aggression in reactions of users of social networks “Facebook”, “Vkontakte”, “Twitter” to journalistic publications about the results of e-declaration of the Ukrainian officials conserning their incomes during the period from August 23 to November 7, 2016. The research method consisted in following such procedures: making observations on correlation between the markers of psycholinguistic explication of verbal aggression (onward – VA) of readers and the facts on electronic declaring (onward – ED), stated in journalistic materials; the establishment of the facts of presence / absence of correlation between the VA level of readers and the facts on ED, stated in journalistic materials; identification by months of 2016 (August, September, October, November) of Internet messages and commentaries on the e-declarations of officials and establishment of the dynamics of changes in indicators of verbal “aggression” (irritation, rhetorical questions with elements of sarcasm, sarcasm, contempt). The results of the analysis of 52 texts which included messages and comments that were recorded by us made it possible to identify the signs of the aggressive texts of the Internet readers’ comments and messages in response to the journalists' publications on e-declaration conserning the incomes of officials in Ukraine (from August 23 to November 7, 2016). Conclusions. The group of Internet readers studied by us recorded a fairly high level of correlation between their verbal aggression and the data of the electronic declaration concerning the incomes of Ukrainian officials (from August 23 to November 7, 2016), which reflected the level of social tension in Ukraine. It was also noted that after the high level of verbal aggression reached its peak in the comments of Internet readers, another marker of verbal aggression “came” to replace it, sarcasm that was replaced after the e-declaration process by contempt from the side of the Internet readers.

Keywords

verbal aggression, Internet readers, electronic declaring, correlation

  • BIP!
    Impact byBIP!
    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
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 24
    download downloads 10
  • 24
    views
    10
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
24
10
Green