TY - JOUR
T1 - Political psycholinguistics
T2 - A comprehensive analysis of the language habits of liberal and conservative social media users
AU - Sterling, Joanna
AU - Jost, John T.
AU - Bonneau, Richard
N1 - Publisher Copyright:
© 2019 American Psychological Association.
PY - 2020/4
Y1 - 2020/4
N2 - For nearly a century social scientists have sought to understand left-right ideological differences in values, motives, and thinking styles. Much progress has been made, but-as in other areas of research-this work has been criticized for relying on small and statistically unrepresentative samples and the use of reactive, self-report measures that lack ecological validity. In an effort to overcome these limitations, we employed automated text analytic methods to investigate the spontaneous, naturally occurring use of language in nearly 25,000 Twitter users. We derived 27 hypotheses from the literature on political psychology and tested them using 32 individual dictionaries. In 23 cases, we observed significant differences in the linguistic styles of liberals and conservatives. For instance, liberals used more language that conveyed benevolence, whereas conservatives used more language pertaining to threat, power, tradition, resistance to change, certainty, security, anger, anxiety, and negative emotion in general. In 17 cases, there were also significant effects of ideological extremity. For instance, moderates used more benevolent language, whereas extremists used more language pertaining to inhibition, tentativeness, affiliation, resistance to change, certainty, security, anger, anxiety, negative affect, swear words, and death-related language. These research methods, which are easily adaptable, open up new and unprecedented opportunities for conducting unobtrusive research in psycholinguistics and political psychology with large and diverse samples.
AB - For nearly a century social scientists have sought to understand left-right ideological differences in values, motives, and thinking styles. Much progress has been made, but-as in other areas of research-this work has been criticized for relying on small and statistically unrepresentative samples and the use of reactive, self-report measures that lack ecological validity. In an effort to overcome these limitations, we employed automated text analytic methods to investigate the spontaneous, naturally occurring use of language in nearly 25,000 Twitter users. We derived 27 hypotheses from the literature on political psychology and tested them using 32 individual dictionaries. In 23 cases, we observed significant differences in the linguistic styles of liberals and conservatives. For instance, liberals used more language that conveyed benevolence, whereas conservatives used more language pertaining to threat, power, tradition, resistance to change, certainty, security, anger, anxiety, and negative emotion in general. In 17 cases, there were also significant effects of ideological extremity. For instance, moderates used more benevolent language, whereas extremists used more language pertaining to inhibition, tentativeness, affiliation, resistance to change, certainty, security, anger, anxiety, negative affect, swear words, and death-related language. These research methods, which are easily adaptable, open up new and unprecedented opportunities for conducting unobtrusive research in psycholinguistics and political psychology with large and diverse samples.
KW - Political ideology
KW - Psycholinguistics
KW - Quantitative text analysis
KW - Social cognition
KW - Social media
KW - Social Media
KW - Humans
KW - Adult
KW - Politics
KW - Habits
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UR - http://www.scopus.com/inward/citedby.url?scp=85077982360&partnerID=8YFLogxK
U2 - 10.1037/pspp0000275
DO - 10.1037/pspp0000275
M3 - Article
C2 - 31916812
AN - SCOPUS:85077982360
SN - 0022-3514
VL - 118
SP - 805
EP - 834
JO - Journal of personality and social psychology
JF - Journal of personality and social psychology
IS - 4
ER -