UC San Diego

The COVID-19 pandemic has raised a wide range of challenges for school leaders that they now (rapidly) have to address. Consequently, they also turn to informal learning networks, in order to share and collect information and reach out to their communities. In this context, the current study investigates the underlying networks structures among school leaders, what type of information is being shared, and what differences can be identified when comparing a nation-wide and a localized sample. We collected data from a US nation-wide sample of 15 relevant Twitter conversations, as well as Tweets from an US urban mid-sized public school district. Using a mixed-methods approach, we discovered several key structural dimensions and a host of highly influential actors. Moreover, we found semantic evidence for users sharing information on topics such as status reports. Finally, we discovered that the urban sample did not overly use the nation-wide, very specific approach of including COVID-19 related hashtags. Instead, they used more localized terminologies. These findings are valuable for policy makers, as they map the underlying communication patterns and provide valuable insights into who is moving what types of resources as part of the emerging governance approach on social media.