Academics' use of social media platforms is widely recognized and often understood as an extension of traditional academic practice. However, this understanding does not account for academics' use of pseudonymous Twitter accounts. We used a combination of computational and human-driven methods to examine the activity of 59 anonymized, self-identified academics on Twitter. Our computational analysis identified five broad topics: discussing academic life, discussing British news and affairs, discussing everyday life, surviving lockdown, and engaging with academic Twitter. Within these broad topics, we identified 24 more specific codes, most of which were concentrated in individual topics, with some cross-cutting codes. These codes demonstrate how the pseudonymous accounts considered in this study can be considered “authentically academic” even if they do not conform with widespread expectations of academic social media use.

学术界对社交媒体平台的使用得到广泛认可，通常被理解为传统学术实践的延伸。然而，这种理解并没有考虑到学者使用假名 Twitter 账户。我们结合使用计算和人工驱动的方法来检查 59 位匿名、自我认同的学者在 Twitter 上的活动。我们的计算分析确定了五个广泛的主题：讨论学术生活、讨论英国新闻和事务、讨论日常生活、在封锁中幸存下来以及与学术 Twitter 互动。在这些广泛的主题中，我们确定了 24 个更具体的代码，其中大部分集中在单个主题中，还有一些交叉代码。