Hip hop, authenticity, and styleshifting in the 2016 presidential election

Gosa, Travis L.

doi:10.1111/jpms.12236

Cited by 2 publications

(1 citation statement)

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“…When 2016 U.S. presidential candidate Ben Carson said, "Every time we raise the minimum wage, the number of jobless people increases," he told a policy falsehood (Jacobson, 2015). When Carson also recounted his adolescent involvement in knife fights-part of an evangelical Christian redemption narrative that does not match any contemporaries' recollection of him-or an episode in which he was almost shot while eating at "a Popeye's organization"-a similarly unverified story that was part of an attempt to paint the wealthy neurosurgeon as personally familiar with the challenges of urban life (Gosa, 2017)-he (most likely) told a personal falsehood (Resnick, 2015). This distinction is important to our analysis because these falsehoods may vary in what they seem to reveal about the speaker's trustworthiness (at least to their own political team or party), which may explain why partisanship may color perceptions of some falsehoods more than others.…”

Section: Ffs May Invite Partisan Evaluations Independent Of Partisan ...mentioning

confidence: 99%

Who sees which political falsehoods as more acceptable and why: A new look at in-group loyalty and trustworthiness.

Galak¹,

Critcher²

2023

Journal of Personality and Social Psychology

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Many politicians—even those who occupy some of the most powerful offices in the world—lie. Five studies examined how conservative and liberal Americans responded to media reports of politicians’ falsehoods—that is, flagged falsehoods (FFs). Even accounting for partisan biases in how much participants dismissed such reports as fake news and assumed that such lies were unintentional, we consistently observed partisan evaluations in how much FFs were seen as justifiable: Republicans and Democrats alike saw their own party’s FFs as more acceptable (Studies 1–4). This charitability did not reflect unconditional in-group favoritism. Instead, it was strongest for policy FFs—those meant to advance a party’s explicit agenda—as opposed to personal FFs about a politician’s past (Study 2) or electoral FFs that strayed from parties’ explicit goals by aiming to disenfranchise legally eligible voters (Study 4). Although FFs can undermine general trustworthiness in the eyes of both in-group and out-group members, policy FFs in particular signal partisan trustworthiness (Studies 3–5)—the belief that a politician can be trusted by their own political side and not by the other. For likeminded partisans, such partisan trustworthiness predicted not only the perceived acceptability of FFs, but also perceptions of the politician as a more prototypically moral actor, even outside of the political sphere. These findings validate the importance of our dual conception of trustworthiness in intergroup contexts.

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Section: Ffs May Invite Partisan Evaluations Independent Of Partisan ...mentioning

confidence: 99%

Who sees which political falsehoods as more acceptable and why: A new look at in-group loyalty and trustworthiness.

Galak¹,

Critcher²

2023

Journal of Personality and Social Psychology

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Data Science Approach to Compare the Lyrics of Popular Music Artists

Rosebaugh

Shamir

2022

Unisia

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Popular music lyrics exhibit clear differences between songwriters. This study describes a quantitative approach to the analysis of popular music lyrics. The method uses explainable measurements of the lyrics and therefore allows the use of quantitative measurements for consequent qualitative analyses. This study applies the automatic quantitative text analytics to 18,577 songs from 89 popular music artists. The analysis quantifies different elements of the lyrics that might be impractical to measure manually. The analysis includes basic supervised machine learning, and the explainable nature of the measurements also allows to identify specific differences between the artists. For instance, the sentiments expressed in the lyrics, the diversity in the selection of words, the frequency of gender-related words, and the distribution of the sounds of the words show differences between popular music artists. The analysis also shows a correlation between the easiness of readability and the positivity of the sentiments expressed in the lyrics. The analysis can be used as a new approach to studying popular music lyrics. The software developed for the study is publicly available and can be used for future studies of popular music lyrics.

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Hip hop, authenticity, and styleshifting in the 2016 presidential election

Cited by 2 publications

References 0 publications

Who sees which political falsehoods as more acceptable and why: A new look at in-group loyalty and trustworthiness.

Who sees which political falsehoods as more acceptable and why: A new look at in-group loyalty and trustworthiness.

Data Science Approach to Compare the Lyrics of Popular Music Artists

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