Using sociological discourse analysis to measure male celebrity criminal behavior fatigue / Beth Ellen Adubato, Stephanie England, Caitlyn Orbe.

Format:

Book

Author/Creator:

Adubato, Beth Ellen, author.

England, Stephanie, author.

Orbe, Caitlyn, author.

Language:

English

Subjects (All):

Celebrities in mass media--Research--Case studies.

Celebrities in mass media.

Crime--Sociological aspects--Research--Case studies.

Crime.

Physical Description:

1 online resource

Place of Publication:

London : SAGE Publications Ltd, 2024.

Summary:

Why is criminal behavior so often overlooked or forgiven when the "actor" is a celebrity? Why are some celebrities shunned and others allowed to continue to shine in society? Which offenses are too heinous to forgive, or are some celebrities too successful to be eschewed from their fields? Dividing celebrities into actors, musicians, athletes, and other (such as politician or news personality), we identified men who had been accused of criminal behavior. We further operationalized level of celebrity/popularity. For this case study, we conducted discourse analysis to discover patterns of acceptance among fans of celebrities. The discourse analysis tracked celebrity support on social media and categorized thousands of comments on a six-point, attitudinal scale from unshakable support to strongly against. The social media aspect of the study gave us trend data that we could then compare across nature of offense, occupation, and level of celebrity. To test the differences among the six categories of our attitudinal scale, we ran analysis of variance. Our early results suggest that the higher the level of celebrity or popularity, the more likely outrage expressed by fans or the public will fade. Although these results are intriguing, we believe that we need much more data. We ran into data-collection issues-availability of data from Twitter. Additionally, three of the five actors we studied did not have enough comments to fulfill the requirements of the study. Further, we were not able to pinpoint dates of comments older than 1 year.

Notes:

Description based on XML content.

ISBN:

1-5296-8464-1

9781529684643

OCLC:

1418723490