Predictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns
Anti-Asian xenophobia (AAX) spiked during Covid-19, exacerbating health disparities among affected groups. This study uses data from a national survey to identify predictors of AAX to enable targeting of audience segments and effective messaging to counteract Anti-Asian attitudes and behaviors. Usin...
Guardado en:
Autores principales: | Jennifer Lambe, Dannagal Young, Amy Bleakley, John P. Crowley, Kami Silk |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Gonzaga Library Publishing
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/136c43d2efe24acf9005a12cf98558f4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Big Data and Accountability in Nigeria. Insights from the BudgIT Organization and the #OpenNASS Campaign
por: Kelechi Okechukwu Amakoh, et al.
Publicado: (2018) -
Rising Against the Thieves. Anti-Corruption Campaigns in South-Eastern Europe
por: Chiara Milan
Publicado: (2018) -
COVID-19: A Pandemic of Anti-Asian Cyberhate
por: Matthew Costello, et al.
Publicado: (2021) -
From Data Extraction to Data Leaking. Data-activism in Italian and Spanish anti-corruption campaigns
por: Alice Mattoni
Publicado: (2018) -
The Differentiation of Parties through the Lens of an Electoral Campaign
por: Rossana Sampugnaro
Publicado: (2015)