Distance, diffusion and the role of social media in a time of Covid contagion

On 11 March 2020, The World Health Organization (WHO) declared COVID-19 a pandemic and began announcing global health recommendations to decrease morbidity and mortality. Serendipitously, our team of health and social scientists captured data related to the diffusion of information about COVID-19 and breastfeeding and prompted this commentary. Since December 2019, we have been capturing Twitter data and employing social network analyses to examine the diffusion of pseudoscience and misinformation related to breastfeeding. We focused on breastfeeding as the death of 800,000 infants and 20,000 mothers may be prevented annually with universal, exclusive and sustained breastfeeding (Bode, Raman, Murch, Rollinc, & Gordon, 2020; Victora et al., 2016). Recently, we were reviewing our latest capture and realized we had data on COVID-19 and breastfeeding, and as such, this commentary relates to our “just in time” findings that may be of importance to the many agencies (governmental and non-governmental) and research groups who focus on diffusing information related to the pandemic. The spread of health (mis)information particularly in times of crisis may cost human lives (Caulfield et al., 2019). As such, it becomes even more critical to track and evaluate the extent to which messages from health authorities are accurately diffused. However, in-depth tracking is challenging at scale especially in online dynamic spaces. On Twitter alone, one of the largest social media platforms worldwide, estimates indicate that more than 410 million tweets with #Covid19 or #Coronavirus have been shared to date. Collecting, analysing and reporting data of this breadth and depth are difficult given both the amount of data and the dynamic evolution of data over time. Rather than present the totality of data, we present findings about the diffusion of information related to “breastfeeding and COVID-19” that were unintentionally captured. We have been harvesting all tweets and general user profile information from common breastfeeding hashtags (e.g., #breastfeeding, #normalizebreastfeeding and #breastmilk) resulting in a large dataset from which we now have two papers under review. The hashtags were a starting point that made sure we were locating our work in the correct research “location.” In the midst of that work, on 16 March, the WHO released its interim guidelines for breastfeeding during the COVID-19 outbreak (World Health Organization (March 16, 2020), followed by UNICEF UK Baby Friendly Initiative on 17 March (UNICEF UK Baby Friendly Initiative, 2020). As such, we ended up quite by accident capturing all tweets related to breastfeeding and #COVID-19 and #coronavirus. We conducted a social network analysis including several network metrics, structural communities (users who interact more frequently among each other than others) and key diffusers (top 5% of users with highest degree centrality), and then categorized users and tweets using inductive qualitative coding (Daly, 2010; Del Fresno, Daly, & Segado, 2016; Lee, DeCamp, Dredze, Chisolm, & Berger, 2014). Our findings indicate a “breastfeeding and COVID-19” social network totaling 756 unique users, 880 tweets and 28 distinct communities (Figure 1; Table 1). While communities do have their own patterns of interactions, it is the WHO along with seven other professional users that act as key diffusers of information (UNICEF UK baby Friendly Initiative, UN News Service, Institute of Health Visiting in the UK, two academics involved in public health policy with leadership positions, and two international board certified lactation consultants [IBCLC]). We also identified network brokers who connected otherwise disconnected communities and bridged messages across the network. These included a non-governmental agency (Breastfeeding USA), professional coalitions (California Breastfeeding Coalition and Kansas Breastfeeding Coalition), and professionals (two academics in nursing and midwifery, one academic in public health, one medical anthropologist, and an IBCLC). The positive side of the findings, and counter to the typical narrative around social media, is that the vast majority of tweets reflected current scientific guidance, updates from researchers about ongoing COVID-19 studies, as well as community engagement and breastfeeding advocacy to support clinicians and families (Figure 2, Table 2). However, despite diffusion of accurate information, we did identify 6% of the tweets that contained scientifically unfounded recommendations and tweets for commercial use (e.g., promoting brands of breast pumps and feeding bottles). “Mothers with #COVID19 symptoms who are #breastfeeding or practising skin-to-skin contact should practise: • Respiratory hygiene, incl. during feeding • Hand hygiene before & after contact with a child • Routinely clean & disinfect surfaces which they have been in contact with” Tweeted by (username, World Health Organization (WHO), account of: WHO) In these difficult times when anecdotal health recommendations and misinformation may overwhelm the health care system and cause large numbers of preventable illness and death, it is heartening to learn that there is evidence of the flow of accurate information that supports the health of mothers and infants. However, we must stand vigilant in our information battle with COVID-19 and continue to leverage analytical approaches that help identify if and when guidelines are tampered with before the problem and consequences become too big to fix. We gratefully acknowledge the support of the Family Larsson-Rosenquist Foundation. The authors declare that they have no conflicts of interest. SM and AJD designed the original study. SM, AJD and DFM performed the research. SM and DFM analysed the data. SM, AJD and LB interpreted the findings. All authors wrote the first draft of the manuscript. All authors have reviewed and approved the final manuscript. Ethics approval was not required as the study only uses publicly available data

2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19 · Diffusion · Emotional contagion · Outbreak · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Social distance · Social media · World Wide Web · Breastfeeding Practices and Influences · COVID-19 Impact on Reproduction · Medicine · Social Psychology · Vaccine Coverage and Hesitancy · Internal Medicine · Virology

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