Mendez Samuel R, Munoz-Najar Sebastian, Emmons Karen M, Viswanath Kasisomayajula
Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Harvard Graduate School of Education, Cambridge, MA, United States.
J Med Internet Res. 2025 Jan 3;27:e59786. doi: 10.2196/59786.
Twitter (subsequently rebranded as X) is acknowledged by US health agencies, including the US Centers for Disease Control and Prevention (CDC), as an important public health communication tool. However, there is a lack of data describing its use by state health agencies over time. This knowledge is important amid a changing social media landscape in the wake of the COVID-19 pandemic.
The study aimed to describe US state health agencies' use of Twitter from 2012 through 2022. Furthermore, we organized our data collection and analysis around the theoretical framework of the networked public to contribute to the broader literature on health communication beyond a single platform.
We used Twitter application programming interface data as indicators of state health agencies' engagement with the 4 key qualities of communication in a networked public: scalability, persistence, replicability, and searchability. To assess scalability, we calculated tweet volume and audience engagement metrics per tweet. To assess persistence, we calculated the portion of tweets that were manual retweets or included an account mention. To assess replicability, we calculated the portion of tweets that were retweets or quote tweets. To assess searchability, we calculated the portion of tweets using at least 1 hashtag.
We observed a COVID-19 pandemic-era shift in state health agency engagement with scalability. The overall volume of tweets increased suddenly from less than 50,000 tweets in 2019 to over 94,000 in 2020, resulting in an average of 5.3 per day. Though mean tweets per day fell in 2021 and 2022, this COVID-19 pandemic-era low was still higher than the pre-COVID-19 pandemic peak. We also observed a more fragmented approach to searchability aligning with the start of the COVID-19 pandemic. More state-specific hashtags were among the top 10 during the COVID-19 pandemic, compared with more general hashtags related to disease outbreaks and natural disasters in years before. We did not observe such a clear COVID-19 pandemic-era shift in engagement with replicability. The portion of tweets mentioning a CDC account gradually rose and fell around a peak of 7.0% in 2018. Similarly, the rate of retweets of a CDC account rose and fell gradually around a peak of 5.4% in 2018. We did not observe a clear COVID-19 pandemic-era shift in persistence. The portion of tweets mentioning any account reached a maximum of 21% in 2013. It oscillated for much of the study period before dropping off in 2021 and reaching a minimum of 10% in 2022. Before 2018, the top 10 mentioned accounts included at least 2 non-CDC or corporate accounts. From 2018 onward, state agencies were much more prominent.
Overall, we observed a more fragmented approach to state health agency communication on Twitter during the pandemic, prioritizing volume over searchability, formally replicating existing messages, and leaving traces of interactions with other accounts.
推特(后更名为X)被包括美国疾病控制与预防中心(CDC)在内的美国卫生机构视为重要的公共卫生沟通工具。然而,缺乏关于州卫生机构随时间使用推特情况的数据。在新冠疫情后社交媒体格局不断变化的背景下,这一信息至关重要。
本研究旨在描述2012年至2022年美国州卫生机构对推特的使用情况。此外,我们围绕网络公众的理论框架组织数据收集和分析,以丰富单一平台之外关于健康传播的更广泛文献。
我们将推特应用程序编程接口数据用作州卫生机构在网络公众中参与沟通的4个关键特性的指标:可扩展性、持久性、可复制性和可搜索性。为评估可扩展性,我们计算每条推文的推文量和受众参与度指标。为评估持久性,我们计算手动转发或提及某个账号的推文所占比例。为评估可复制性,我们计算转发推文或引用推文所占比例。为评估可搜索性,我们计算至少使用1个主题标签的推文所占比例。
我们观察到州卫生机构在新冠疫情期间参与可扩展性方面的转变。推文总量从2019年的不到50000条突然增至2020年的超过94000条,平均每天5.3条。尽管2021年和2022年每日平均推文量有所下降,但这一新冠疫情期间的低点仍高于新冠疫情前的峰值。我们还观察到,随着新冠疫情的开始,在可搜索性方面出现了更为分散的方式。与疫情前几年与疾病爆发和自然灾害相关的更通用主题标签相比,新冠疫情期间特定州的主题标签在前10名中占比更多。我们未观察到在可复制性参与方面有如此明显的新冠疫情期间转变。提及CDC账号的推文比例在2018年左右逐渐上升并在7.0%的峰值附近波动。同样,CDC账号的转发率在2018年左右逐渐上升并在5.4%的峰值附近波动。我们未观察到在持久性方面有明显的新冠疫情期间转变。提及任何账号的推文比例在2013年达到最高值21%。在研究期间的大部分时间里它都在波动,然后在2021年下降,2022年达到最低值10%。在2018年之前,前十大提及账号中至少有2个非CDC或公司账号。从那以后,州机构变得更加突出。
总体而言,我们观察到疫情期间州卫生机构在推特上的沟通方式更为分散,优先考虑推文量而非可搜索性,正式复制现有信息,并留下与其他账号互动的痕迹。