Juwon Hwang, Asya Cooley, Skye Cooley, Robert Hinck
{"title":"西班牙裔社区围绕COVID-19疫苗接种的群体偏袒:实验研究","authors":"Juwon Hwang, Asya Cooley, Skye Cooley, Robert Hinck","doi":"10.2196/71188","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Hispanic communities have been disproportionately affected by the COVID-19 pandemic. In addition to elevated health risks and burdens, these populations have faced persistent barriers to accessing accurate, timely information regarding the pandemic's trajectory, including vaccine-related updates. To address these challenges, it is crucial to examine the conditions under which Hispanics are most likely to seek information about COVID-19 vaccinations.</p><p><strong>Objective: </strong>Grounded in social identity theory and self-categorization theory, the primary goal of this study is to investigate how ethnic and linguistic cues influence information-seeking preferences related to COVID-19 vaccinations among Hispanic individuals. The first aim is to compare Hispanic and non-Hispanic participants in terms of their preferences for COVID-19 vaccine-related social media pages, in which the ethnicity of individuals shown in the images (Hispanic vs non-Hispanic) and the language in the text (Spanish vs English) vary. The second aim is to identify which combination of ethnic imagery and language in the text is most preferred among Hispanic participants when seeking COVID-19 vaccination information.</p><p><strong>Methods: </strong>A total of 936 participants (Hispanic: n=448; non-Hispanic: n=488) were included in the study. We created experimental social media group pages modeled after Facebook groups, in which the ethnicity of individuals shown in the imagery and the language used in the text were manipulated. A total of 4 conditions were developed: (1) Hispanic imagery with Spanish text, (2) non-Hispanic imagery with Spanish text, (3) Hispanic imagery with English text, and (4) non-Hispanic imagery with English text. Participants were asked to indicate the extent to which they would be willing to seek help from each social media group page, under the assumption that they were looking for information or assistance related to the COVID-19 vaccine, regardless of their actual vaccination status. A between-subjects ANOVA and a one-way repeated-measures ANOVA were conducted to analyze the data.</p><p><strong>Results: </strong>The findings indicated that Hispanic participants significantly preferred social media pages featuring Hispanic imagery and Spanish text compared to non-Hispanic participants. Moreover, a page with non-Hispanic imagery and English text was less preferred by Hispanic than by non-Hispanic individuals. Among Hispanic participants, the condition featuring Hispanic imagery and Spanish text emerged as the most favored, particularly when compared to conditions featuring non-Hispanic imagery paired with either Spanish or English text. Notably, there was no significant difference between the preference for the condition with Hispanic imagery and Spanish text and the condition with Hispanic imagery and English text, suggesting that imagery may have a stronger influence than language in shaping preferences.</p><p><strong>Conclusions: </strong>These results suggest that incorporating ethnic and language cues that reflect the target audience's identity can enhance the effectiveness of public health messaging, particularly in efforts to improve information engagement among Hispanic populations.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e71188"},"PeriodicalIF":5.8000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ingroup Favoritism Surrounding COVID-19 Vaccinations in the Hispanic Communities: Experimental Study.\",\"authors\":\"Juwon Hwang, Asya Cooley, Skye Cooley, Robert Hinck\",\"doi\":\"10.2196/71188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Hispanic communities have been disproportionately affected by the COVID-19 pandemic. In addition to elevated health risks and burdens, these populations have faced persistent barriers to accessing accurate, timely information regarding the pandemic's trajectory, including vaccine-related updates. To address these challenges, it is crucial to examine the conditions under which Hispanics are most likely to seek information about COVID-19 vaccinations.</p><p><strong>Objective: </strong>Grounded in social identity theory and self-categorization theory, the primary goal of this study is to investigate how ethnic and linguistic cues influence information-seeking preferences related to COVID-19 vaccinations among Hispanic individuals. The first aim is to compare Hispanic and non-Hispanic participants in terms of their preferences for COVID-19 vaccine-related social media pages, in which the ethnicity of individuals shown in the images (Hispanic vs non-Hispanic) and the language in the text (Spanish vs English) vary. The second aim is to identify which combination of ethnic imagery and language in the text is most preferred among Hispanic participants when seeking COVID-19 vaccination information.</p><p><strong>Methods: </strong>A total of 936 participants (Hispanic: n=448; non-Hispanic: n=488) were included in the study. We created experimental social media group pages modeled after Facebook groups, in which the ethnicity of individuals shown in the imagery and the language used in the text were manipulated. A total of 4 conditions were developed: (1) Hispanic imagery with Spanish text, (2) non-Hispanic imagery with Spanish text, (3) Hispanic imagery with English text, and (4) non-Hispanic imagery with English text. Participants were asked to indicate the extent to which they would be willing to seek help from each social media group page, under the assumption that they were looking for information or assistance related to the COVID-19 vaccine, regardless of their actual vaccination status. A between-subjects ANOVA and a one-way repeated-measures ANOVA were conducted to analyze the data.</p><p><strong>Results: </strong>The findings indicated that Hispanic participants significantly preferred social media pages featuring Hispanic imagery and Spanish text compared to non-Hispanic participants. Moreover, a page with non-Hispanic imagery and English text was less preferred by Hispanic than by non-Hispanic individuals. Among Hispanic participants, the condition featuring Hispanic imagery and Spanish text emerged as the most favored, particularly when compared to conditions featuring non-Hispanic imagery paired with either Spanish or English text. Notably, there was no significant difference between the preference for the condition with Hispanic imagery and Spanish text and the condition with Hispanic imagery and English text, suggesting that imagery may have a stronger influence than language in shaping preferences.</p><p><strong>Conclusions: </strong>These results suggest that incorporating ethnic and language cues that reflect the target audience's identity can enhance the effectiveness of public health messaging, particularly in efforts to improve information engagement among Hispanic populations.</p>\",\"PeriodicalId\":16337,\"journal\":{\"name\":\"Journal of Medical Internet Research\",\"volume\":\"27 \",\"pages\":\"e71188\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Internet Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2196/71188\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Internet Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/71188","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Ingroup Favoritism Surrounding COVID-19 Vaccinations in the Hispanic Communities: Experimental Study.
Background: Hispanic communities have been disproportionately affected by the COVID-19 pandemic. In addition to elevated health risks and burdens, these populations have faced persistent barriers to accessing accurate, timely information regarding the pandemic's trajectory, including vaccine-related updates. To address these challenges, it is crucial to examine the conditions under which Hispanics are most likely to seek information about COVID-19 vaccinations.
Objective: Grounded in social identity theory and self-categorization theory, the primary goal of this study is to investigate how ethnic and linguistic cues influence information-seeking preferences related to COVID-19 vaccinations among Hispanic individuals. The first aim is to compare Hispanic and non-Hispanic participants in terms of their preferences for COVID-19 vaccine-related social media pages, in which the ethnicity of individuals shown in the images (Hispanic vs non-Hispanic) and the language in the text (Spanish vs English) vary. The second aim is to identify which combination of ethnic imagery and language in the text is most preferred among Hispanic participants when seeking COVID-19 vaccination information.
Methods: A total of 936 participants (Hispanic: n=448; non-Hispanic: n=488) were included in the study. We created experimental social media group pages modeled after Facebook groups, in which the ethnicity of individuals shown in the imagery and the language used in the text were manipulated. A total of 4 conditions were developed: (1) Hispanic imagery with Spanish text, (2) non-Hispanic imagery with Spanish text, (3) Hispanic imagery with English text, and (4) non-Hispanic imagery with English text. Participants were asked to indicate the extent to which they would be willing to seek help from each social media group page, under the assumption that they were looking for information or assistance related to the COVID-19 vaccine, regardless of their actual vaccination status. A between-subjects ANOVA and a one-way repeated-measures ANOVA were conducted to analyze the data.
Results: The findings indicated that Hispanic participants significantly preferred social media pages featuring Hispanic imagery and Spanish text compared to non-Hispanic participants. Moreover, a page with non-Hispanic imagery and English text was less preferred by Hispanic than by non-Hispanic individuals. Among Hispanic participants, the condition featuring Hispanic imagery and Spanish text emerged as the most favored, particularly when compared to conditions featuring non-Hispanic imagery paired with either Spanish or English text. Notably, there was no significant difference between the preference for the condition with Hispanic imagery and Spanish text and the condition with Hispanic imagery and English text, suggesting that imagery may have a stronger influence than language in shaping preferences.
Conclusions: These results suggest that incorporating ethnic and language cues that reflect the target audience's identity can enhance the effectiveness of public health messaging, particularly in efforts to improve information engagement among Hispanic populations.
期刊介绍:
The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades.
As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor.
Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.