Texas Public Agencies' Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach.

BACKGROUND: The ongoing COVID-19 pandemic is characterized by different morbidity and mortality rates across different states, cities, rural areas, and diverse neighborhoods. The absence of a national strategy for battling the pandemic also leaves state and local governments responsible for creating their own response strategies and policies. OBJECTIVE: This study examines the content of COVID-19-related tweets posted by public health agencies in Texas and how content characteristics can predict the level of public engagement. METHODS: All COVID-19-related tweets (N=7269) posted by Texas public agencies during the first 6 months of 2020 were classified in terms of each tweet's functions (whether the tweet provides information, promotes action, or builds community), the preventative measures mentioned, and the health beliefs discussed, by using natural language processing. Hierarchical linear regressions were conducted to explore how tweet content predicted public engagement. RESULTS: The information function was the most prominent function, followed by the action or community functions. Beliefs regarding susceptibility, severity, and benefits were the most frequently covered health beliefs. Tweets that served the information or action functions were more likely to be retweeted, while tweets that served the action and community functions were more likely to be liked. Tweets that provided susceptibility information resulted in the most public engagement in terms of the number of retweets and likes. CONCLUSIONS: Public health agencies should continue to use Twitter to disseminate information, promote action, and build communities. They need to improve their strategies for designing social media messages about the benefits of disease prevention behaviors and audiences' self-efficacy.

Middle-Aged and Older African Americans' Information Use During the COVID-19 Pandemic: An Interview Study.

African Americans in the United States have been disproportionately affected by the COVID-19 pandemic in infection and mortality rates. This study examined how middle-aged and older African American individuals accessed and evaluated the information about COVID-19. Semi-structured interviews with 20 individuals (age: 41-72) were conducted during the first stay-at-home advisory period in late March and early April 2020. The phronetic iterative approach was used for data analysis. We found that these individuals primarily relied on information scanning based on their routine media consumption to acquire information about COVID-19 and seldom actively searched for information outside of their regular media use. Individuals used several strategies to assess the quality of the information they received, including checking source credibility, comparing multiple sources, fact-checking, and praying. These findings could inform media and governmental agencies' future health communication efforts to disseminate information about the COVID-19 pandemic and future infectious disease outbreaks among the African American communities.

What do we believe in? Rumors and processing strategies during the COVID-19 outbreak in China.

The COVID-19 pandemic is called the first infodemic in history. Those first confronted by the enormous challenge of fighting this infodemic to save their lives were the people of Hubei Province in China. To understand how they defined and processed rumors, we conducted an interview study with Hubei residents when they were under lockdown. We found that they typically defined rumors in terms of one or two of three features: non-factual information, information unsanctioned by the government, and information causing panic. They reported low motivation in verifying the information and often either rejected any information they perceived as suspicious or waited for the government to debunk rumors. Even among those who tried to verify information, most relied exclusively on heuristic processing cues such as source credibility, linguistic and visual cues, and intuition. Systematic processing strategies such as fact-checking and discussing with family and friends were seldom used.

Health Information Consumption under COVID-19 Lockdown: An Interview Study of Residents of Hubei Province, China.

Emerging infectious disease (EID) outbreaks such as the ongoing COVID-19 pandemic create unknown risks, uncertainty, and anxiety around the world. Accurate and timely information can help the public understand the outbreak and manage their lives. Presented here is a study of how residents of Hubei Province, the epicenter of the COVID-19 outbreak in China, use media for information seeking, scanning, and sharing while under lockdown through in-depth interviews. We find that (1) individuals primarily acquire information through information scanning from official governmental sources, (2) information sharing is more frequent with family members through private channels than with one's extended social networks and the general public through pubic channels mostly due to concerns with censorship, and (3) individuals' information need and information use change substantially during different stages of the outbreak. These findings provide insights into how individuals in China use different media for information during an unprecedented public health crisis and make sense of the limited and often confusing and contradictory information that is available to them. Such findings can inform future health communication efforts during EID outbreaks.