Appraisal of the Fairness Moral Foundation Predicts the Language Use Involving Moral Issues on Twitter Among Japanese release_ypubxr2b5neenfkbe7bm5drdnq

by Akiko Matsuo, Baofa Du, Kazutoshi Sasahara

Published in Frontiers in Psychology by Frontiers Media SA.

2021   Volume 12, p599024

Abstract

Moral appraisals are found to be associated with a person's individual differences (e.g., political ideology), and the effects of individual differences on language use have been studied within the framework of the Moral Foundations Theory (MFT). However, the relationship between one's moral concern and the use of language involving morality on social media is not self-evident. The present exploratory study investigated that relationship using the MFT. Participants' tweets and self-reported responses to the questionnaire were collected to measure the degree of their appraisals according to the five foundations of the MFT. The Japanese version of the Moral Foundations Dictionary (J-MFD) was used to quantify the number of words in tweets relevant to the MFT's five moral foundations. The results showed that endorsement of the Fairness and Authority foundations predicted the word frequency in the J-MFD across all five foundations. The findings suggest that the trade-off relationship between the Fairness and Authority foundations plays a key role in online language communication. The implications and future directions to scrutinize that foundation are discussed.
In application/xml+jats format

Archived Files and Locations

application/pdf  2.1 MB
file_7vard5mmwvbinasxrb6cxd3rje
fjfsdata01prod.blob.core.windows.net (publisher)
web.archive.org (webarchive)

Web Captures

https://www.frontiersin.org/articles/10.3389/fpsyg.2021.599024/full
2021-10-19 17:12:54 | 29 resources
webcapture_vitvnqex7zhw7ag7gmnncwgduy
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-04-30
Language   en ?
Container Metadata
Open Access Publication
In DOAJ
In ISSN ROAD
In Keepers Registry
ISSN-L:  1664-1078
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: b0f1eee2-9a74-42d8-8d0f-dc4ad90ffb9f
API URL: JSON