Public sector's misinformation debunking during the public health campaign: a case of Hong Kong.

For a public health campaign to succeed, the public sector is expected to debunk the misinformation transparently and vividly and guide the citizens. The present study focuses on COVID-19 vaccine misinformation in Hong Kong, a non-Western society with a developed economy and sufficient vaccine supply but high vaccine hesitancy. Inspired by the Health Belief Model (HBM) and research on source transparency and the use of visuals in the debunking, the present study examines the COVID-19 vaccine misinformation debunking messages published by the official social media and online channels of the public sector of Hong Kong (n = 126) over 18 months (1 November 2020 to 20 April 2022) during the COVID-19 vaccination campaign. Results showed that the most frequently occurring misinformation themes were misleading claims about the risks and side effects of vaccination, followed by (non-)effectiveness of the vaccines and the (un)-necessity of vaccination. Among the HBM constructs, barriers and benefits of vaccination were mentioned the most, while self-efficacy was the least addressed. Compared with the early stage of the vaccination campaign, an increasing number of posts contained susceptibility, severity or cues to action. Most debunking statements did not disclose any external sources. The public sector actively used illustrations, with affective illustrations outnumbering cognitive ones. Suggestions for improving the quality of misinformation debunking during public health campaigns are discussed.

Rural-Urban Differences in Vaccination and Hesitancy Rates and Trust: US COVID-19 Trends and Impact Survey on a Social Media Platform, May 2021-April 2022.

Objectives. To analyze rural-urban differences in COVID-19 vaccination uptake, hesitancy, and trust in information sources in the United States. Methods. We used data from a large survey of Facebook users. We computed the vaccination, hesitancy, and decline rates and the trust proportions among individuals hesitant toward COVID-19 information sources for rural and urban regions in each state from May 2021 to April 2022. Results. In 48 states with adequate data, on average, two thirds of states showed statistically significant differences in monthly vaccination rates between rural and urban regions, with rural regions having a lower vaccination rate at all times. Far fewer states showed statistically significant differences when comparing monthly hesitancy and decline rates for urban versus rural regions. Doctors and health professionals received the highest level of trust. Friends and family were also among the most trusted sources in rural areas where the vaccination uptake was low. Conclusions. Rural-urban difference in hesitancy rates among those still unvaccinated was much smaller than the rural-urban difference in vaccination rates, suggesting that access to vaccines may be another contributor to the lower vaccination rates in rural areas. (Am J Public Health. 2023;113(6):680-688. https://doi.org/10.2105/AJPH.2023.307274).

News from Messenger? A Cross-National Comparative Study of News Media's Audience Engagement Strategies via Facebook Messenger Chatbots

As an emerging audience engagement channel for news organizations, news chatbots can interact with and attract audiences in a conversational manner. The present study applies the comparative digital journalism frameworks and examines how society-level factors-such as media systems and information communication technology's development-explain chatbot implementation on social media platforms. We surveyed 365 news organizations across 38 countries or regions and inspected their Facebook Messenger accounts with a mixed-methods approach. We found that less than half of the surveyed news organizations implemented Messenger, and only 67 Messengers were responsive-i.e. able to produce at least one response. We used the walkthrough method to interact with the Messengers with 22 pre-defined search queries on information seeking and navigation related to COVID-19. Then we used qualitative content analysis to examine the contents generated by the Messengers. Some Messengers are out of service or could only provide limited services (e.g. generating templated responses or closed-ended options). The Messengers in different news organizations demonstrated great variations in their capacity to understand the queries and interact with the audiences and reparative strategies to handle search failure. We proposed a three-category typology of news chatbots and offered practical and constructive suggestions for news organizations.

Racial and Ethnic Disparities in COVID-19: Rate Ratios Provide an Incomplete Picture of US Trends, April 2020 - March 2021.

Recent increasing rates of COVID-19 cases, hospitalizations, and deaths among non-Hispanic Whites have led to declining rate ratios at a time of continuing high burden of COVID-19 in American Indian/Alaska Native, Asian/Pacific Islander, African American, and Hispanic/Latino populations. The use of all epidemiological tools, including rate ratios and actual rates per 100,000 population, provides a more comprehensive assessment of the magnitude and trends of racial and ethnic disparities in COVID-19.

How source-level and message-level factors influence journalists’ social media visibility during a public health crisis

Social media has become a channel through which journalists distribute their work, reach audiences and gain visibility. Informed by the frameworks of journalistic branding, the heuristic-systematic model, and hypertextual elements, the present study examines the extent to which the source factor (journalists? branding on social media profiles) and message factors (communication styles and hypertextual elements) influence visibility (i.e. the popularity of the account and the number of favourites and retweets of the posts). We analysed the Twitter profiles of 98 health journalists from seven major media organizations in the US and conducted a manual content analysis of a representative sample of their public tweets (n?=?3982) published during the Covid-19 pandemic. In contrast to expectations, branding contributed little to any indicators of visibility, and profiles with institutional branding had fewer followers. Both affective messages and rational messages received more likes and retweets than messages without these elements. Tweets containing images or news-related hyperlinks received more retweets, whereas the number of @mentions in a tweet was negatively related to visibility. Journalists from traditional media, those who tweeted more often, and those with more followers had higher levels of visibility.