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A Brief History of APIs
(2021)
Online platforms such as Facebook, YouTube and Twitter offer a wide range of data for scientific research. Since many of the social media providers have set up application programming interfaces (APIs), extensive volumes of data can be collected automatically (Jünger, 2018; Keyling & Jünger, 2016). Social media data are attractive, inter alia, because they not only include already available communication, such as that from public media, but they also make organisational and interpersonal communication visible (Ledford, 2020). In addition, these data are process-generated (Baur, 2011, p. 1234), meaning that they are generated independently of scientific research and thus promise an authentic insight into human behaviour. 1 A wide range of studies in the social sciences exploit APIs for data collection and analysis. Thus, the establishment and development of APIs has significant implications for science.
Does really no one care? Analyzing the public engagement of communication scientists on Twitter
(2020)
Recent publications question the public visibility of communication science as a discipline and its relevance for the broader society. To address this issue, we analyze the public engagement of communication scientists by using the example of their Twitter activity. We theoretically distinguish eight types of engagement and explore their empirical prevalence. The results show that a large share of communication is between peers, fulfilling social networking functions. Nevertheless, more than a quarter of the tweets are on political and social topics. In this way, communication scientists bring society into their scholarly community and thus act as bridge builders. They also reach diverse publics outside of science, such as followers from the field of economics. Our study thus highlights the diversity of connections between science and society and can offer a starting point to further research other fields of public engagement and the impact of the discipline on the public discourse.