Divide in Ferguson: Social Media, Social Context, and Division

We examine the patterns of social polarization, with the case of Michael Brown shooting as an empirical basis for discussing the role of social media in promoting polarized viewpoints. In doing so, we test a model that synthesizes the interplay between text polarity in Twitter and four attributes of...

Full description

Bibliographic Details
Main Authors: Yong Jin Park, S. Mo Jang, Hoon Lee, Grace S. Yang
Format: Article
Language:English
Published: SAGE Publishing 2018-07-01
Series:Social Media + Society
Online Access:https://doi.org/10.1177/2056305118789630
_version_ 1819227192434884608
author Yong Jin Park
S. Mo Jang
Hoon Lee
Grace S. Yang
author_facet Yong Jin Park
S. Mo Jang
Hoon Lee
Grace S. Yang
author_sort Yong Jin Park
collection DOAJ
description We examine the patterns of social polarization, with the case of Michael Brown shooting as an empirical basis for discussing the role of social media in promoting polarized viewpoints. In doing so, we test a model that synthesizes the interplay between text polarity in Twitter and four attributes of U.S. cities ( N  = 216): (1) geographic location, (2) race, (3) poverty, and (4) technological condition. Our findings supported hypothesized functions of socio-environmental traits. However, the extents of polarization in tweet-texts were subtler than expected. Furthermore, the finding concerning poverty suggests that certain urban environments are more conducive to exacerbating racial tensions, reproducing them into social media narratives. We suggest future studies and discuss the implications for societal divide.
first_indexed 2024-12-23T10:37:29Z
format Article
id doaj.art-247f89f0d9b448e0b941d0a22096d896
institution Directory Open Access Journal
issn 2056-3051
language English
last_indexed 2024-12-23T10:37:29Z
publishDate 2018-07-01
publisher SAGE Publishing
record_format Article
series Social Media + Society
spelling doaj.art-247f89f0d9b448e0b941d0a22096d8962022-12-21T17:50:15ZengSAGE PublishingSocial Media + Society2056-30512018-07-01410.1177/2056305118789630Divide in Ferguson: Social Media, Social Context, and DivisionYong Jin Park0S. Mo Jang1Hoon Lee2Grace S. Yang3Howard University, USAUniversity of South Carolina, USAKyung Hee University, South KoreaUniversity of Michigan, USAWe examine the patterns of social polarization, with the case of Michael Brown shooting as an empirical basis for discussing the role of social media in promoting polarized viewpoints. In doing so, we test a model that synthesizes the interplay between text polarity in Twitter and four attributes of U.S. cities ( N  = 216): (1) geographic location, (2) race, (3) poverty, and (4) technological condition. Our findings supported hypothesized functions of socio-environmental traits. However, the extents of polarization in tweet-texts were subtler than expected. Furthermore, the finding concerning poverty suggests that certain urban environments are more conducive to exacerbating racial tensions, reproducing them into social media narratives. We suggest future studies and discuss the implications for societal divide.https://doi.org/10.1177/2056305118789630
spellingShingle Yong Jin Park
S. Mo Jang
Hoon Lee
Grace S. Yang
Divide in Ferguson: Social Media, Social Context, and Division
Social Media + Society
title Divide in Ferguson: Social Media, Social Context, and Division
title_full Divide in Ferguson: Social Media, Social Context, and Division
title_fullStr Divide in Ferguson: Social Media, Social Context, and Division
title_full_unstemmed Divide in Ferguson: Social Media, Social Context, and Division
title_short Divide in Ferguson: Social Media, Social Context, and Division
title_sort divide in ferguson social media social context and division
url https://doi.org/10.1177/2056305118789630
work_keys_str_mv AT yongjinpark divideinfergusonsocialmediasocialcontextanddivision
AT smojang divideinfergusonsocialmediasocialcontextanddivision
AT hoonlee divideinfergusonsocialmediasocialcontextanddivision
AT gracesyang divideinfergusonsocialmediasocialcontextanddivision