The affinity space framework has proven useful for explaining and understanding teacher activity on social media platforms. In this study, we explore the ‘dark side’ of teacher affinity spaces by documenting a partisan teachers’ group on an alternative social media platform. We used a mix of a priori and emergent coding to analyse screenshots of posts and comments from a public teachers’ group and group administrators’ activity on the broader platform. Findings indicate that although the group administrators began with a focus on teachers, most participants were non-teachers with political (rather than professional) concerns about US education. Furthermore, administrators both freely engaged with political talking points in their activity outside the teachers’ group and allowed the broader platform culture—including conspiratorial thinking, explicit racism and out-group villainization—to seep in. We conclude by describing how these findings correspond with the key characteristics of an affinity space, including an overlapping of affinities, a lack of concern for professional qualifications, and influence from the broader platform. These findings provide an illustrative example of how teacher affinity spaces can drift from their stated intention within the larger platform context.

Research on teachers’ use of social media has typically assumed that it is a) driven by a need for professional learning and b) best understood in terms of individual motivations. In this study, we use a dataset of nearly 600,000 tweets posted to one or more of 48 Regional Educational Twitter Hashtags associated with 44 U.S. states. To explore the influence of local contextual factors on hashtag- and account-level activity in these hashtags, we use an analytic approach heretofore uncommon in social media-focussed education research: generalised linear and multilevel modelling. At the hashtag level, higher numbers of teachers within a state, proportions of students receiving subsidised meals, student-to-teacher ratios, and amounts of state spending per child are associated with more activity within a regional hashtag; by contrast, more left-leaning state governments and citizenries are associated with less activity. At the account level, more experienced accounts and accounts in more right-leaning states contribute more tweets to these hashtags. These findings reinforce established understandings of Twitter as a site for teacher learning; however, they also underline the importance of acknowledging other important purposes of teachers’ Twitter use, including receiving emotional support and engaging in activism.