2022
DOI: 10.1002/ejsp.2814
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Moral relevance varies due to inter‐individual and intra‐individual differences across big data technology domains

Abstract: Theories of moralization argue that moral relevance varies due to inter-individual differences, domain differences, or a mix of both. Predictors associated with these sources of variation have been studied in isolation to assess their unique contribution to moralization. Across three studies (N Study1 = 376; N Study2a = 621; N Study2b = 589), assessing attitudes towards new big data technologies, we found that moralization is best explained by theories focusing on inter-individual variation (∼29%) and intraind… Show more

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Cited by 6 publications
(9 citation statements)
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“…Instead, this person-specific and more idiosyncratic solitude priorities are captured by the person × solitude function interaction component. See Figure 5 for a visual illustration (Kodapanakkal et al, 2021). Therefore, to reduce measurement error and estimate an additional variance component, participants in the new study rated each solitude function twice.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Instead, this person-specific and more idiosyncratic solitude priorities are captured by the person × solitude function interaction component. See Figure 5 for a visual illustration (Kodapanakkal et al, 2021). Therefore, to reduce measurement error and estimate an additional variance component, participants in the new study rated each solitude function twice.…”
Section: Discussionmentioning
confidence: 99%
“…For example, some functions of solitude experiences are more valuable than others, and there is some consensus regarding which functions are more important. Figure 1 provides a visual illustration of these two perspectives using hypothetical data (this figure is inspired by Figures 1-3 in Kodapanakkal et al, 2021).…”
Section: Current Researchmentioning
confidence: 99%
See 2 more Smart Citations
“…We also explored potential mechanisms (e.g., emotions, perceptions of harm) driving changes in moral convictions (Studies 2 and 3). All the studies focused on persuading people to oppose new big-data technologies because these issues involve relatively new attitudes that are often discussed using moral language (Corlett, 2002;Kleinberg et al, 2018) and because they have the potential to moralize those attitudes (Kodapanakkal et al, 2021).…”
Section: The Current Researchmentioning
confidence: 99%