Legitimizing state violence: A comparative positioning analysis of discourses from the government and citizen supporters of the antidrug operations

The present study proposes two distinct yet bidirectionally related forms of legitimation of state violence: those enacted by the government and those enacted by its citizens. We anchor this proposal upon a positioning framework. To demonstrate this conceptualization, we used a mixed methods approac...

Full description

Saved in:
Bibliographic Details
Main Authors: Montiel, Cristina Jayme, Camacho, Ryan Angelo P
Format: text
Published: Archīum Ateneo 2020
Subjects:
Online Access:https://archium.ateneo.edu/psychology-faculty-pubs/259
https://doi.apa.org/doiLanding?doi=10.1037%2Fpac0000474
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Ateneo De Manila University
id ph-ateneo-arc.psychology-faculty-pubs-1258
record_format eprints
spelling ph-ateneo-arc.psychology-faculty-pubs-12582021-02-11T08:46:13Z Legitimizing state violence: A comparative positioning analysis of discourses from the government and citizen supporters of the antidrug operations Montiel, Cristina Jayme Camacho, Ryan Angelo P The present study proposes two distinct yet bidirectionally related forms of legitimation of state violence: those enacted by the government and those enacted by its citizens. We anchor this proposal upon a positioning framework. To demonstrate this conceptualization, we used a mixed methods approach that uses quantitative text mining procedures to supplement a qualitative positioning analysis. We analyzed a corpus of 18,968 words from presidential speeches to represent the government. At the same time, a corpus of 21,763 words from prodrug war Facebook comments to represent the citizens. We built and validated a classification model using support vector machines (SVM), which successfully distinguished between government and citizen utterances with an accuracy of 78.12%. Within the qualitative positioning analysis, we analyzed three storylines for the government and three storylines from the citizens. We show that bidirectional legitimation manifests between unique storylines of the government and citizens that share similar positionings. This study suggests that citizen discourse constructs state violence as acceptable on a different and yet equivalent level to the discourse of government politicians. We recommend for research in sociopolitical fields to shift in focus to comparatively analyze the unique discourses of both citizens and governments for episodes of national violence. 2020-05-14T07:00:00Z text https://archium.ateneo.edu/psychology-faculty-pubs/259 https://doi.apa.org/doiLanding?doi=10.1037%2Fpac0000474 Psychology Department Faculty Publications Archīum Ateneo citizens government legitimation positioning theory state violence Political Science Psychology
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic citizens
government
legitimation
positioning theory
state violence
Political Science
Psychology
spellingShingle citizens
government
legitimation
positioning theory
state violence
Political Science
Psychology
Montiel, Cristina Jayme
Camacho, Ryan Angelo P
Legitimizing state violence: A comparative positioning analysis of discourses from the government and citizen supporters of the antidrug operations
description The present study proposes two distinct yet bidirectionally related forms of legitimation of state violence: those enacted by the government and those enacted by its citizens. We anchor this proposal upon a positioning framework. To demonstrate this conceptualization, we used a mixed methods approach that uses quantitative text mining procedures to supplement a qualitative positioning analysis. We analyzed a corpus of 18,968 words from presidential speeches to represent the government. At the same time, a corpus of 21,763 words from prodrug war Facebook comments to represent the citizens. We built and validated a classification model using support vector machines (SVM), which successfully distinguished between government and citizen utterances with an accuracy of 78.12%. Within the qualitative positioning analysis, we analyzed three storylines for the government and three storylines from the citizens. We show that bidirectional legitimation manifests between unique storylines of the government and citizens that share similar positionings. This study suggests that citizen discourse constructs state violence as acceptable on a different and yet equivalent level to the discourse of government politicians. We recommend for research in sociopolitical fields to shift in focus to comparatively analyze the unique discourses of both citizens and governments for episodes of national violence.
format text
author Montiel, Cristina Jayme
Camacho, Ryan Angelo P
author_facet Montiel, Cristina Jayme
Camacho, Ryan Angelo P
author_sort Montiel, Cristina Jayme
title Legitimizing state violence: A comparative positioning analysis of discourses from the government and citizen supporters of the antidrug operations
title_short Legitimizing state violence: A comparative positioning analysis of discourses from the government and citizen supporters of the antidrug operations
title_full Legitimizing state violence: A comparative positioning analysis of discourses from the government and citizen supporters of the antidrug operations
title_fullStr Legitimizing state violence: A comparative positioning analysis of discourses from the government and citizen supporters of the antidrug operations
title_full_unstemmed Legitimizing state violence: A comparative positioning analysis of discourses from the government and citizen supporters of the antidrug operations
title_sort legitimizing state violence: a comparative positioning analysis of discourses from the government and citizen supporters of the antidrug operations
publisher Archīum Ateneo
publishDate 2020
url https://archium.ateneo.edu/psychology-faculty-pubs/259
https://doi.apa.org/doiLanding?doi=10.1037%2Fpac0000474
_version_ 1692273688807735296