Opportunities and Challenges of Extracting Values in Autobiographical Narratives.

Fischer, Ronald; Karl, Johannes; Fetvadjiev, Velichko; Grener, Adam; Luczak-Roesch, Markus

dc.contributor.author	Fischer, Ronald
dc.contributor.author	Karl, Johannes
dc.contributor.author	Fetvadjiev, Velichko
dc.contributor.author	Grener, Adam
dc.contributor.author	Luczak-Roesch, Markus
dc.date.accessioned	2024-06-04T13:36:54Z
dc.date.available	2024-06-04T13:36:54Z
dc.date.issued	2022-08-02
dc.identifier.issn	1664-1078
dc.identifier.pmid	35983215
dc.identifier.doi	10.3389/fpsyg.2022.886455
dc.identifier.uri	http://hdl.handle.net/10147/641746
dc.description	We report three studies in which we applied a value dictionary to narratives. Our objective was to test a theory-driven value dictionary for extracting valuable information from autobiographical and narrative texts. In Studies 1 (N = 106) and 2 (N = 152), participants wrote short autobiographical narratives and in Study 3 (N = 150), participants wrote narratives based on ambiguous stimuli. Participants in all three studies also completed the Portrait Value Questionnaire as a self-report measure of values. Overall, our results demonstrate that it is possible to extract value-relevant information from these narratives. Extracted values from autobiographical narratives showed average correlations of 0.07 (Study 1) and 0.12 (Study 2) with self-reports compared to an average correlation of 0.01 for the extracted values from implicit motive tasks (Study 3). The correlations with self-reports were in line with previous validation studies. The most salient values in narratives diverged somewhat, with a stronger emphasis on achievement values compared to self-reports, probably due to the nature of salient episodes within one's life that require demonstrating success according to social standards. Benevolence values were consistently most important in both self-ratings and text-based scoring. The value structure emerging from narratives diverged from the theoretically predicted structure, yet broad personally vs. socially focused value dimensions were qualitatively discernible. We highlight opportunities and challenges for future value research using autobiographical stories.	en_US
dc.language.iso	en	en_US
dc.rights	Copyright © 2022 Fischer, Karl, Fetvadjiev, Grener and Luczak-Roesch.
dc.rights	Attribution 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.subject	autobiographical stories	en_US
dc.subject	implicit motives	en_US
dc.subject	lexical analysis	en_US
dc.subject	life story method	en_US
dc.subject	natural language processing	en_US
dc.subject	text mining	en_US
dc.subject	Values	en_US
dc.title	Opportunities and Challenges of Extracting Values in Autobiographical Narratives.	en_US
dc.type	Article	en_US
dc.identifier.journal	Frontiers in psychology	en_US
dc.source.journaltitle	Frontiers in psychology
dc.source.volume	13
dc.source.beginpage	886455
dc.source.endpage
refterms.dateFOA	2024-06-04T13:36:56Z
dc.source.country	Switzerland