Abstract
The Black Panther movie release in early 2018 has been a phenomenon not only in the entertainment industry but also in American society. Film critics and major media have claimed that this award-winning movie has played significant roles in the African American community. Nevertheless, little research has been done to confirm such effects. Using publicly available data from Twitter as a proxy to measure black racial identity, we found that there were significant differences in the prevalence of Twitter users having black identifiers (i.e., African/Afro American, black, woke) in their bios before and after the Black Panther movie release, F(2, 858) = 92.097, p < .001, and between black male and female users, F(1, 858) = 19, 239, p < .001. How these findings illuminate the association between the Black Panther movie and black racial identity, which may then shed more light on how the former may affect the latter through the lens of social identity theory is discussed.
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Notes
- 1.
In this study, African American is used interchangeably with Black.
- 2.
It should be noted that one million is an arbitrary multiplier. Its advantage is to provide whole numbers for analysis rather than discussing fractional percentages with multiple decimal points.
- 3.
We also performed two-way between-subject ANOVA with cutoff points on January 29th, 2018 – the premier of the Black Panther movie – and mixed ANOVA with observed dates treated as a repeated measure. These analyses yielded similar results. Both factors were significant at p < .05, while the interaction was not.
References
Disney. Black Panther (2018). https://movies.disney.com/black-panther. Accessed 18 Dec 2018
Box Office Mojo. 2018 domestic grosses (2018). https://www.boxofficemojo.com/yearly/chart/?yr=2018&p=.htm. Accessed 24 July 2019
France, L.R.: Golden Globe nominations kick off Hollywood’s award season. CNN (2018). https://www.cnn.com/2018/12/06/entertainment/golden-globe-nominations/index.html. Accessed 19 Dec 2018
Wylie, J.: Black Panther wins 2019 Oscar for production design. OSCARS (2019). https://oscar.go.com/news/winners/black-panther-is-the-2019-oscar-winner-for-production-design. Accessed 23 July 2019
White, R.T.: I dream a world: black panther and the re-making of blackness. New Polit. Sci. 40, 421–427 (2018)
Wallace, C.: Why ‘Black Panther’ is a defining moment for Black America. The New York Times (2018). https://www.nytimes.com/2018/02/12/magazine/why-black-panther-is-a-defining-moment-for-black-america.html. Accessed 19 Dec 2018
Turner, E.: Why ‘Black Panther’ means so much to the black community. Houston Chronicle (2018). https://www.houstonchronicle.com/local/gray-matters/article/black-panther-racial-and-ethnic-socialization-12741221.php. Accessed 19 Dec 2018
Kuhn, M., McPartland, T.S.: An empirical investigation of self-attitudes. Am. Sociol. Rev. 19, 68–76 (1954)
Scottham, K.M., Sellers, R.M., Nguyên, H.X.: A measure of racial identity in African American adolescents: the development of the Multidimensional Inventory of Black Identity-Teen. Cult. Divers. Ethn. Minor. Psychol. 14, 297–306 (2008)
Sellers, R.M., Smith, M.A., Shelton, J.N., Rowley, S.A.J., Chavous, T.M.: Multidimensional model of racial identity: a reconceptualization of African American racial identity. Pers. Soc. Psychol. Rev. 2, 18–39 (1998)
Tajfel, H., Turner, J.: An integrative theory of intergroup conflict. In: Organizational Identity: A Reader, pp. 33–47 (1979)
Merriam-Webster. Stay woke, the new sense of ‘woke’ is gaining popularity (2017). https://www.merriam-webster.com/words-at-play/woke-meaning-origin. Accessed 19 Dec 2018
Kearney, M.W.: Collecting Twitter Data, p. 73 (2018)
Khanna, K., Imai, K., Jin, H.: Who are You? Bayesian Prediction of Racial Category Using Surname and Geolocation 14 (2017). https://doi.org/10.1093/pan/mpw001
Imai, K., Khanna, K.: Improving ecological inference by predicting individual ethnicity from voter registration records. Polit. Anal. 24, 263–272 (2016)
Mullen, L., Blevins, C., Schmidt, B.: Predict gender from names using historical data, pp. 1–7 (2018)
Blevins, C., Mullen, L.: Jane, John … Leslie ? A historical method for algorithmic gender prediction. DHQ Digit. Humanit. Q. 9 (2015, online). http://www.digitalhumanities.org/dhq/vol/9/3/000223/000223.html
Pallotta, F.: ‘Black Panther’ is the most tweeted about movie ever. CNN Business (2018). https://money.cnn.com/2018/03/20/media/black-panther-twitter/index.html. Accessed 23 July 2019
Musambira, G.W., Jackson, N.E.: A preliminary analysis of Tyler Perry’s ‘House of Payne’ and ‘Meet the Browns’: effect on the black identity, African American’s frequency of exposure, perception of accuracy and affective evaluation. J. Creat. Commun. 13, 212–231 (2018)
Sullivan, J.M., Platenburg, G.N.: From black-ish to blackness. J. Black Stud. 48, 215–234 (2017)
Welch, K.: Black criminal stereotypes and racial profiling. J. Contemp. Crim. Justice 23, 276–288 (2007)
Harris-Perry, M.V.: Sister Citizen: Shame, Stereotypes, and Black Women in America. Yale University Press, New Haven (2011)
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We would like to thank the Institute for Advanced Computational Science (IACS) for material support and anonymous reviewers for their helpful comments and suggestions.
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Firmansyah, F.M., Jones, J.J. (2019). Did the Black Panther Movie Make Blacks Blacker? Examining Black Racial Identity on Twitter Before and After the Black Panther Movie Release. In: Weber, I., et al. Social Informatics. SocInfo 2019. Lecture Notes in Computer Science(), vol 11864. Springer, Cham. https://doi.org/10.1007/978-3-030-34971-4_5
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