TY - JOUR
T1 - Moral discourse in the Twitterverse
T2 - Effects of ideology and political sophistication on language use among U.S. citizens and members of Congress
AU - Sterling, Joanna
AU - Jost, John T.
N1 - Funding Information:
This research was supported by the INSPIRE program of the National Science Foundation (Awards # SES-1248077 and # SES-1248077-001) as well as the New York University Global Institute for Advanced Study (GIAS).
Funding Information:
Joanna Sterling and John T. Jost are members of the Social Media and Political Participation (SMaPP) Lab at New York University (NYU). This research was supported by the INSPIRE program of the National Science Foundation (Awards # SES-1248077 and # SES-1248077-001) as well as the New York University Global Institute for Advanced Study (GIAS). We gratefully acknowledge the support of computer programmers Duncan Penfold-Brown, Jonathan Ronen, and Yvan Scher and the advice of Michał Krzyżanowski and Joshua Tucker.
Publisher Copyright:
© John Benjamins Publishing Company.
PY - 2018
Y1 - 2018
N2 - We analyzed Twitter language to explore hypotheses derived from moral foundations theory, which suggests that liberals and conservatives prioritize different values. In Study 1, we captured 11 million tweets from nearly 25,000 U.S. residents and observed that liberals expressed fairness concerns more often than conservatives, whereas conservatives were more likely to express concerns about group loyalty, authority, and purity. Increasing political sophistication exacerbated ideological differences in authority and group loyalty. At low levels of sophistication, liberals used more harm language, but at high levels of sophistication conservatives referenced harm more often. In Study 2, we analyzed 59,000 tweets from 388 members of the U.S. Congress. Liberal legislators used more fairness- and harm-related words, whereas conservative legislators used more authority-related words. Unexpectedly, liberal legislators used more language pertaining to group loyalty and purity. Follow-up analyses suggest that liberals and conservatives in Congress use similar words to emphasize different policy priorities.
AB - We analyzed Twitter language to explore hypotheses derived from moral foundations theory, which suggests that liberals and conservatives prioritize different values. In Study 1, we captured 11 million tweets from nearly 25,000 U.S. residents and observed that liberals expressed fairness concerns more often than conservatives, whereas conservatives were more likely to express concerns about group loyalty, authority, and purity. Increasing political sophistication exacerbated ideological differences in authority and group loyalty. At low levels of sophistication, liberals used more harm language, but at high levels of sophistication conservatives referenced harm more often. In Study 2, we analyzed 59,000 tweets from 388 members of the U.S. Congress. Liberal legislators used more fairness- and harm-related words, whereas conservative legislators used more authority-related words. Unexpectedly, liberal legislators used more language pertaining to group loyalty and purity. Follow-up analyses suggest that liberals and conservatives in Congress use similar words to emphasize different policy priorities.
KW - Basic values
KW - Morality
KW - Political ideology
KW - Psycholinguistics
KW - Social cognition
UR - http://www.scopus.com/inward/record.url?scp=85046907538&partnerID=8YFLogxK
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U2 - 10.1075/jlp.17034.ste
DO - 10.1075/jlp.17034.ste
M3 - Article
AN - SCOPUS:85046907538
SN - 1569-2159
VL - 17
SP - 195
EP - 221
JO - Journal of Language and Politics
JF - Journal of Language and Politics
IS - 2
ER -