2021
DOI: 10.3389/fpsyg.2021.599024
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Appraisal of the Fairness Moral Foundation Predicts the Language Use Involving Moral Issues on Twitter Among Japanese

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 qu… Show more

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Cited by 7 publications
(5 citation statements)
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“…The amount of moral expression in our data is relatively high, compared to previous studies on other social media content such as Twitter discussions ( Matsuo et al, 2021 ; Mutlu et al, 2020 ; Van Vliet, 2021 ). This suggests that talking about COVID-19 vaccine in a moral way is a common practice on Facebook public pages.…”
Section: Resultscontrasting
confidence: 65%
“…The amount of moral expression in our data is relatively high, compared to previous studies on other social media content such as Twitter discussions ( Matsuo et al, 2021 ; Mutlu et al, 2020 ; Van Vliet, 2021 ). This suggests that talking about COVID-19 vaccine in a moral way is a common practice on Facebook public pages.…”
Section: Resultscontrasting
confidence: 65%
“…To gauge and understand moral foundations from texts, we used the Moral Foundations Dictionary (MFD) [25] and the translated Japanese version (J-MFD) [26] that has been well validated in multiple studies [27,28]. Using these dictionaries, we measured the frequency of co-occurrence of moral words from MFD or J-MFD with mentions of meat alternatives.…”
Section: Measuring Moral Foundationsmentioning
confidence: 99%
“…The J-MFD consists of 718 moral terms in total ( https://github.com/ soramame0518/j-mfd). Both the MFD and J-MFD were used to study moral foundations from the text (Haidt and Graham, 2007;Dehghani et al, 2016;Kaur and Sasahara, 2016;Matsuo et al, 2021).…”
Section: Dictionaries: Mfd and J-mfdmentioning
confidence: 99%
“…Although we are aware of other variations of the MFD (Garten et al, 2016;Araque et al, 2020;Hopp et al, 2021) for English, the same is not available for Japanese. In addition, the J-MFD has been well-validated (Matsuo et al, 2019) and applied to analyze Japanese tweets (Matsuo et al, 2021). Therefore, we decided to use the original MFD and its counterpart, the J-MFD, to ensure equivalence in morality measurement methods.…”
Section: Dictionaries: Mfd and J-mfdmentioning
confidence: 99%
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