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Social network sites (SNS) have not only become a fundamental part of the Web, but also increasingly offer novel communicative and networking possibilities for academia. Following a short presentation of the typical functions of (science-specific) SNS, we firstly present the state of knowledge regarding academic usage practices, both in general purpose SNS and in science-specific SNS. Secondly, we assess potential impacts by addressing identified key issues such as privacy, the role of pseudonymity, and the specific form of informal communication in question. In particular, we focus on the issue of network effects and the challenge of multiple channels, which presents itself as a major hurdle for an effective implementation of SNS in academia. Despite these difficulties, we come to the conclusion that SNS are, in principle, functional for scholarly communication and that they have serious potential within academia. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Stored only when both papers are in the corpus — 90 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.