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The language of character strengths: Predicting morally valued traits on social media.

ABSTRACT: OBJECTIVE:Social media is increasingly being used to study psychological constructs. This study is the first to use Twitter language to investigate the 24 Values in Action Inventory of Character Strengths, which have been shown to predict important life domains such as well-being. METHOD:We use both a top-down closed-vocabulary (Linguistic Inquiry and Word Count) and a data-driven open-vocabulary (Differential Language Analysis) approach to analyze 3,937,768 tweets from 4,423 participants (64.3% female), who answered a 240-item survey on character strengths. RESULTS:We present the language profiles of (a) a global positivity factor accounting for 36% of the variances in the strengths, and (b) each of the 24 individual strengths, for which we find largely face-valid language associations. Machine learning models trained on language data to predict character strengths reach out-of-sample prediction accuracies comparable to previous work on personality (rmedian = 0.28, ranging from 0.13 to 0.51). CONCLUSIONS:The findings suggest that Twitter can be used to characterize and predict character strengths. This technique could be used to measure the character strengths of large populations unobtrusively and cost-effectively.

SUBMITTER: Pang D

PROVIDER: S-EPMC7065131 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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The language of character strengths: Predicting morally valued traits on social media.

Pang Dandan D Eichstaedt Johannes C JC Buffone Anneke A Slaff Barry B Ruch Willibald W Ungar Lyle H LH

Journal of personality 20190529 2

<h4>Objective</h4>Social media is increasingly being used to study psychological constructs. This study is the first to use Twitter language to investigate the 24 Values in Action Inventory of Character Strengths, which have been shown to predict important life domains such as well-being.<h4>Method</h4>We use both a top-down closed-vocabulary (Linguistic Inquiry and Word Count) and a data-driven open-vocabulary (Differential Language Analysis) approach to analyze 3,937,768 tweets from 4,423 part ...[more]

PMID: 31107975

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Project description:This study examines Peterson and Seligman's (2004, p. 19) claim that every VIA character strength "(…) is morally valued in its own right, even in the absence of obvious beneficial outcomes". Although this criterion assumes a pivotal role in distinguishing character from personality, no previous study has investigated its validity. Based on what Peterson and Seligman (2004) have provided us with, we describe how we built our study around indirectly testing every strength's assumed moral evaluation, in which inclinations toward deontology (e.g., "torture is wrong regardless of tangible positive outcomes") and consequentialism (e.g., "torture can be good if it accounts for more positive than negative outcomes") may play a critical role. We used Peterson and Seligman's (2004) handbook to construct four ultra-short stories for every strength: the stories depict various agents engaging in strength-related behavior (e.g., a young student courageously stepping up against school bullies). We prompted participants to rate these and twelve anchor stories multiple times as to whether the agents acted morally correct: In the first block, the actions' consequences were undetermined while in the second block, the actions had either positive, negative, or mixed consequences, which we used to compute proxies of participants' inclinations toward deontology and consequentialism. The ratings of N = 230 German-speaking laypersons suggest that the criterion stands: participants perceived every strength as positively morally valued when consequences were undetermined, and positive consequences did not account for or increase this effect. However, moral value seems to come in degrees, and some strengths were valued more strongly than others (top five: judgment, honesty, kindness, fairness, and hope). Furthermore, specific character strengths (measured by self-report) were connected with more positive evaluations (e.g., endorsing spirituality was connected with rating spirituality as more positively valued). Both deontology and consequentialism were connected with more positive evaluations, and we suggest two hypotheses to explain how such inclinations can lead to perceiving character strengths as positively valued. Our findings highlight the importance of scrutinizing the criteria for character strengths, and our experimental paradigm can offer a template to further investigate character strengths' moral evaluation and other fundamental assumptions in upcoming studies.

Project description:BackgroundThe present study aimed to develop and validate the Character Strengths Test 24 (CST24), a simple scale consisting of 24 character strengths represented by one concept word and one sentence each. Three studies were conducted to examine the validation and utility of the CST24 for future research.MethodsThree internet-based surveys were conducted in Japan to investigate the psychometric properties of the CST24. Study 1 comprised 846 adults and focused on test development, including the evaluation of well-being and strengths scales, as well as retest reliability. Study 2 involved 1137 high school students and 1101 college undergraduates, aiming to investigate the factor structure of the CST24 and reaffirm its validity by utilizing happiness and meaning in life scales. In Study 3, 524 working adults participated to explore the scale's potential for future research. This study incorporated various psychological scales, such as value orientation, moral foundation, and work-related scales, to assess the utility of the CST24.ResultsIn Study 1, the CST24 items exhibited a well-distributed response pattern, demonstrating favorable retest reliability and internal consistency. Significant positive correlations were found between the CST24 items and measures of subjective well-being, meaning in life, positive self-compassion, and knowledge or utilization of strengths. Study 2 confirmed the stability of the factor structure across diverse sample groups, consistent with prior studies utilizing larger-scale measures. Study 3 identified both core and peripheral strengths, highlighting specific strengths that made substantial contributions to well-being, value orientation, moral foundation, sense of mission, and work-related indices through multiple regression analysis.ConclusionThe findings support the reliability and validity of the CST24 as a concise assessment tool for measuring 24 character strengths. Its potential utility for screening and exploratory research warrants attention in future studies, enhancing our understanding of the role of character strengths in various domains.

Dataset Information

The language of character strengths: Predicting morally valued traits on social media.

Publications

The language of character strengths: Predicting morally valued traits on social media.

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