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My Memoji, my self: prosodic correlates of online performed code-switching via avatar

  • Nicole Holliday EMAIL logo
Published/Copyright: January 23, 2025

Abstract

Collecting code-switching data has long been a challenge for sociolinguists, because eliciting naturalistic alternations between one language or variety and another is often pragmatically difficult. Data for the current study comes from a social media thread dedicated to “code-switching”, representing a new way of using online recordings for analysis of sociolinguistic phenomena. In October 2019, a Twitter user posted a Memoji avatar video, soliciting responses that illustrate how individuals “code-switch” between “regular” and “work” voices. Responding users’ decisions about the design of their Memoji images provide sociolinguistic information frequently absent from online data; namely the user’s performance of race, gender, and style. Analysis focuses on prosodic differences between the “regular” and “work” styles for 142 user responses to the original post. Regression models reveal differences between users’ “home voices” and “work voices”; these include different pitch range settings by context, more monotone realizations in the work voices, and rise-fall and fall-rise patterns that differ between contexts. These results provide important information about how the same individuals may employ intraspeaker prosodic differences to construct racialized professional and personal identities. Additionally, they represent a new point of departure for studying the phonetic correlates of racialized style-shifting.


Corresponding author: Nicole Holliday, Department of Linguistics, University of California Berkeley, Dwinelle Hall, Berkeley, CA, 94720, USA, E-mail:

Acknowledgments

I would like to thank the editor, Dan Duncan as well as the anonymous reviewers for their helpful comments. This paper also benefited from earlier feedback from Byron Ahn, Paul Reed, Rachel Steindel Burdin, and the audience of the Linguistic Society of America’s 2021 Annual Meeting. Finally, I would like to thank Emelia Benson Meyer for tirelessly downloading and labeling Memoji files, and for assistance with coding.

Appendix A: Bayesian regression model for ranges ∼ voice × gender, with speaker as a random effect

Estimate Estimated error L-95 % CI U-95 % CI
Intercept 83.86 3.63 76.68 90.90
Work voice 45.52 3.71 38.22 52.80
Gender:male −34.81 6.92 −48.37 −21.14
Work voice × gender:male −8.65 6.68 −21.82 4.49

Appendix B: Bayesian regression model for Prominences ∼ voice × gender, with speaker as a random effect

Estimate Estimated error L-95 % CI U-95 % CI
Intercept 4.15 0.03 4.08 4.21
Work voice 0.03 0.05 −0/06 0.12
Gender:male 0.01 0.06 −0.10 0.12
Work voice × gender:male 0.01 0.08 −0.15 0.15

Appendix C: Chi-square tests for level differences by voice and gender

Gender Voice Last chi2 df p-Value lbl
X-squared F H 1 72.9753 4 0 1-5
X-squared1 F W 1 104.1877 4 0 1-5
X-squared2 M H 1 18.1795 4 0.0011 1-5
X-squared3 M W 1 46.9084 4 0 1-5
X-squared4 F H 2 91.1332 4 0 2-5
X-squared5 F W 2 152.752 4 0 2-5
X-squared6 M H 2 16.3083 4 0.0026 2-5
X-squared7 M W 2 61.04 4 0 2-5
X-squared8 F H 3 88.0467 4 0 3-5
X-squared9 F W 3 74.8788 4 0 3-5
X-squared10 M H 3 15.7549 4 0.0034 3-5
X-squared11 M W 3 5.4775 4 0.2417 3-5
X-squared12 F H 4 6.4375 4 0.1688 4-5
X-squared13 F W 4 8.1147 4 0.0875 4-5
X-squared14 M H 4 43.4786 4 0 4-5
X-squared15 M W 4 9.3191 4 0.0536 4-5
X-squared16 F H 5 18.7907 4 0.0009 5-5
X-squared17 F W 5 36.5427 4 0 5-5
X-squared18 M H 5 12.19 4 0.016 5-5
X-squared19 M W 5 11.5904 4 0.0207 5-5

References

Ahn, Byron, Nanette Veilleux, Stefanie Shattuck-Hufnagel & Alejna Brugos. 2021. PoLaR annotation guidelines, version 1.0.Search in Google Scholar

Beckman, Mary E. & Gayle Ayers Elam. 1997. Guidelines for ToBI labelling (version 3, March 1997). Ohio: Ohio State University Research Foundation.Search in Google Scholar

Bell, Alan. 1984. Language style as audience design. Language in Society 13(2). 145–204. https://doi.org/10.1017/s004740450001037x.Search in Google Scholar

Boersma, Paul & David Weenink. 2024. Praat: Doing phonetics by computer, version 6.4.12 [Computer program]. http://www.praat.org/ (accessed 2 May 2024).Search in Google Scholar

Burdin, Rachel S. 2016. Variation in form and function in Jewish English intonation. Columbus: Ohio State University doctoral dissertation.Search in Google Scholar

Burdin, Rachel S., Nicole Holliday & Paul E. Reed. 2018. Rising above the standard: Variation in L+ H* contour use across 5 varieties of American English. In Proceedings of the 9th international conference on speech prosody, 354–358. Baixas, France: International Speech Communication Association.10.21437/SpeechProsody.2018-72Search in Google Scholar

Burdin, Rachel S., Nicole R. Holliday & Paul E. Reed. 2022. American English pitch accents in variation: Pushing the boundaries of mainstream American English-ToBI conventions. Journal of Phonetics 94. https://doi.org/10.1016/j.wocn.2022.101163.Search in Google Scholar

Bürkner, Paul-Christian. 2017. brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software 80. 1–28. https://doi.org/10.18637/jss.v080.i01.Search in Google Scholar

Demby, Gene. 2013. How code-switching explains the world. NPR. https://www.npr.org/sections/codeswitch/2013/04/08/176064688/how-code-switching-explains-the-world (accessed 12 December 2024).Search in Google Scholar

Google Trends. 2024. Code-switching. https://trends.google.com/trends/explore?date=all&geo=US&q=code%20switching&hl=en (accessed 22 February 2024).Search in Google Scholar

Grieser, Jessica A. 2015. The language of professional blackness: African American English at the intersection of race, place, and class in southeast. Washington, DC. Washington: Georgetown University doctoral dissertation.Search in Google Scholar

Holliday, Nicole. 2016. Intonational variation, linguistic style and the Black/Biracial experience. New York: New York University doctoral dissertation.Search in Google Scholar

Holliday, Nicole. 2021. Prosody and sociolinguistic variation in American Englishes. Annual Review of Linguistics 7. 55–68. https://doi.org/10.1146/annurev-linguistics-031220-093728.Search in Google Scholar

Holliday, Nicole. 2023. Quantifying prosodic variation in AAE as a function of gender and interlocutor using the PoLaR framework. In Radek Skarnitzl & Jan Volín (eds.), Proceedings of the 20th international congress of phonetic sciences – ICPhS 2023, 3730–3734. Prague: International Phonetic Association.Search in Google Scholar

Holt, Yolanda F. & Balaji Rangarathnam. 2018. F0 declination and reset in read speech of African American and White American women. Speech Communication 97. 43–50. https://doi.org/10.1016/j.specom.2018.01.001.Search in Google Scholar

John, Kenesma D., Taryrn T. C. Brown & Ebonie S. Bennett. 2024. Brown skin girl: Mapping negotiations of colorism, digital resistance, and Black girlhood. Journal of Educational Studies and Multidisciplinary Approaches 4. 49–68. https://doi.org/10.51383/jesma.2024.98.Search in Google Scholar

Jun, Sun-Ah & Christina Foreman. 1996. Boundary tones and focus realization in African American intonation. In Paper presented at the 3rd Joint Meeting of the Acoustical Society of America and the Acoustical Society of Japan, Honolulu, Hawaii, December 2–6.Search in Google Scholar

Karlis, Nicole. 2018. Apple’s “Memoji” speak to the psychology of why humans love our digital avatars. In Salon. https://www.salon.com/2018/06/05/apples-memoji-speak-to-the-psychology-of-why-humans-love-personalized-digital-avatars/ (accessed 19 December 2024).Search in Google Scholar

King, Sharese. 2020. From African American Vernacular English to African American language: Rethinking the study of race and language in African Americans’ speech. Annual Review of Linguistics 6. 285–300. https://doi.org/10.1146/annurev-linguistics-011619-030556.Search in Google Scholar

Labov, William, Sharon Ash, Maya Ravindranath, Tracey Weldon, Maciej Baranowski & Naomi Nagy. 2011. Properties of the sociolinguistic monitor 1. Journal of Sociolinguistics 15(4). 431–463. https://doi.org/10.1111/j.1467-9841.2011.00504.x.Search in Google Scholar

Li, Aini, Ruaridh Purse & Nicole Holliday. 2022. Variation in global and intonational pitch settings among black and white speakers of Southern American English. Journal of the Acoustical Society of America 152(5). 2617–2628. https://doi.org/10.1121/10.0014906.Search in Google Scholar

Lippi-Green, Rosina. 1997. English with an accent: Language, ideology and discrimination in the United States. New York: Routledge.Search in Google Scholar

McLarty, Jason. 2018. African American language and European American English intonation variation over time in the American South. American Speech: A Quarterly of Linguistic Usage 93(1). 32–78. https://doi.org/10.1215/00031283-6904032.Search in Google Scholar

Nalborczyk, Ladislas, Cédric Batailler, Hélène Lœvenbruck, Anne Vilain & Paul-Christian Bürkner. 2019. An introduction to Bayesian multilevel models using brms: A case study of gender effects on vowel variability in standard Indonesian. Journal of Speech, Language, and Hearing Research 62(5). 1225–1242. https://doi.org/10.1044/2018_jslhr-s-18-0006.Search in Google Scholar

Nielsen, Rasmus. 2012. Reassembling ethnicity: Stylistic variation in African American English prosody. Washington: Georgetown University doctoral dissertation.Search in Google Scholar

Reddy, Sravana & James Stanford. 2015. A web application for automated dialect analysis. In Matt Gerber, Catherine Havasi & Finley Lacatusu (eds.), Proceedings of the 2015 Conference of the North American Chapter of the Association for computational linguistics: Demonstrations, 71–75. Denver, CO: Association for Computational Linguistics.10.3115/v1/N15-3015Search in Google Scholar

Reed, Paul E. 2016. Sounding appalachian:/ai/ monophthongization, rising pitch accents, and rootedness. Columbia: University of South Carolina doctoral dissertation.Search in Google Scholar

Rickford, John R. & Faye McNair-Knox. 1994. Addressee-and topic-influenced style shift: A quantitative sociolinguistic study. Sociolinguistic perspectives on register 235. 276.10.1093/oso/9780195083644.003.0011Search in Google Scholar

Sloan, Luke, Jeffrey Morgan, William Housley, Matthew Williams, Adam Edwards, Pete Burnap & Omer Rana. 2013. Knowing the tweeters: Deriving sociologically relevant demographics from Twitter. Sociological Research Online 18(3). 74–84. https://doi.org/10.5153/sro.3001.Search in Google Scholar

Thomas, Eric R. 2015. Prosodic features of African American English. In Sonja Lanehart (ed.), The Oxford handbook of African American language, 420–438. Oxford: Oxford University Press.Search in Google Scholar

Received: 2024-06-05
Accepted: 2024-10-11
Published Online: 2025-01-23

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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