Communicating Concerns, Emotional Expressions, and Disparities on Ethnic Communities on Social Media during the COVID-19 Pandemic: A Structural Topic Modeling Approach

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

Standard

Communicating Concerns, Emotional Expressions, and Disparities on Ethnic Communities on Social Media during the COVID-19 Pandemic : A Structural Topic Modeling Approach. / Lu, Jiahui; Liu, Jun.

2022. Abstract from Media and Publics.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

Harvard

Lu, J & Liu, J 2022, 'Communicating Concerns, Emotional Expressions, and Disparities on Ethnic Communities on Social Media during the COVID-19 Pandemic: A Structural Topic Modeling Approach', Media and Publics, 28/04/2022 - 29/04/2022. <https://medialib.cmcdn.dk/medialibrary/BA21D059-D68C-42A8-B545-D4EC8D7D2F13/6BEC3D7B-3DC6-EC11-84B2-00155D0B0901.pdf>

APA

Lu, J., & Liu, J. (2022). Communicating Concerns, Emotional Expressions, and Disparities on Ethnic Communities on Social Media during the COVID-19 Pandemic: A Structural Topic Modeling Approach. Abstract from Media and Publics. https://medialib.cmcdn.dk/medialibrary/BA21D059-D68C-42A8-B545-D4EC8D7D2F13/6BEC3D7B-3DC6-EC11-84B2-00155D0B0901.pdf

Vancouver

Lu J, Liu J. Communicating Concerns, Emotional Expressions, and Disparities on Ethnic Communities on Social Media during the COVID-19 Pandemic: A Structural Topic Modeling Approach. 2022. Abstract from Media and Publics.

Author

Lu, Jiahui ; Liu, Jun. / Communicating Concerns, Emotional Expressions, and Disparities on Ethnic Communities on Social Media during the COVID-19 Pandemic : A Structural Topic Modeling Approach. Abstract from Media and Publics.

Bibtex

@conference{0d46d7870bbb49ca953b0dd1bf5f0b5c,
title = "Communicating Concerns, Emotional Expressions, and Disparities on Ethnic Communities on Social Media during the COVID-19 Pandemic: A Structural Topic Modeling Approach",
abstract = "Ethnic and racial disparities in the current coronavirus (COVID-19) pandemic raise significantconcerns. This study analyzes social media discourses toward four ethnic communities in the USduring the pandemic and reveals disparities in pandemic experiences among them. A total of488,029 tweets mentioning one of four ethnic communities, i.e. Asians, Blacks, Hispanics, andNative Americans, were investigated by a structural topic modeling approach with emotionalexpressions and time as covariates in the topic model. The results demonstrate that discoursesabout Asian, Hispanics, and Native American communities were often induced by pandemic-related events, concerning topics beyond one{\textquoteright}s community, and reflecting an experience of implicitracism and an adoption of technical supports from health systems. Meanwhile, discourses aboutBlacks were racially-related, discussing topics within the community, and reflecting an experienceof explicit racism and an adoption of psychological supports from ingroup. We discuss theimplications of our findings on ethnic health disparities",
author = "Jiahui Lu and Jun Liu",
year = "2022",
language = "English",
note = "Media and Publics ; Conference date: 28-04-2022 Through 29-04-2022",

}

RIS

TY - ABST

T1 - Communicating Concerns, Emotional Expressions, and Disparities on Ethnic Communities on Social Media during the COVID-19 Pandemic

T2 - Media and Publics

AU - Lu, Jiahui

AU - Liu, Jun

PY - 2022

Y1 - 2022

N2 - Ethnic and racial disparities in the current coronavirus (COVID-19) pandemic raise significantconcerns. This study analyzes social media discourses toward four ethnic communities in the USduring the pandemic and reveals disparities in pandemic experiences among them. A total of488,029 tweets mentioning one of four ethnic communities, i.e. Asians, Blacks, Hispanics, andNative Americans, were investigated by a structural topic modeling approach with emotionalexpressions and time as covariates in the topic model. The results demonstrate that discoursesabout Asian, Hispanics, and Native American communities were often induced by pandemic-related events, concerning topics beyond one’s community, and reflecting an experience of implicitracism and an adoption of technical supports from health systems. Meanwhile, discourses aboutBlacks were racially-related, discussing topics within the community, and reflecting an experienceof explicit racism and an adoption of psychological supports from ingroup. We discuss theimplications of our findings on ethnic health disparities

AB - Ethnic and racial disparities in the current coronavirus (COVID-19) pandemic raise significantconcerns. This study analyzes social media discourses toward four ethnic communities in the USduring the pandemic and reveals disparities in pandemic experiences among them. A total of488,029 tweets mentioning one of four ethnic communities, i.e. Asians, Blacks, Hispanics, andNative Americans, were investigated by a structural topic modeling approach with emotionalexpressions and time as covariates in the topic model. The results demonstrate that discoursesabout Asian, Hispanics, and Native American communities were often induced by pandemic-related events, concerning topics beyond one’s community, and reflecting an experience of implicitracism and an adoption of technical supports from health systems. Meanwhile, discourses aboutBlacks were racially-related, discussing topics within the community, and reflecting an experienceof explicit racism and an adoption of psychological supports from ingroup. We discuss theimplications of our findings on ethnic health disparities

M3 - Conference abstract for conference

Y2 - 28 April 2022 through 29 April 2022

ER -

ID: 291607913