Explain like I am a Scientist: The Linguistic Barriers of Entry to r/science

要旨

As an online community for discussing research findings, r/science has the potential to contribute to science outreach and communication with a broad audience. Yet previous work suggests that most of the active contributors on r/science are science-educated people rather than a lay general public. One potential reason is that r/science contributors might use a different, more specialized language than used in other subreddits. To investigate this possibility, we analyzed the language used in more than 68 million posts and comments from 12 subreddits from 2018. We show that r/science uses a specialized language that is distinct from other subreddits. Transient (newer) authors of posts and comments on r/science use less specialized language than more frequent authors, and those that leave the community use less specialized language than those that stay, even when comparing their first comments. These findings suggest that the specialized language used in r/science has a gatekeeping effect, preventing participation by people whose language does not align with that used in r/science. By characterizing r/science's specialized language, we contribute guidelines and tools for increasing the number of contributors in r/science.

キーワード
Social computing
science communication
Reddit
著者
Tal August
University of Washington, Seattle, WA, USA
Dallas Card
Stanford University, Stanford, CA, USA
Gary Hsieh
University of Washington, Seattle, WA, USA
Noah A. Smith
University of Washington & Allen Institute for Artificial Intelligence, Seattle, WA, USA
Katharina Reinecke
University of Washington, Seattle, WA, USA
DOI

10.1145/3313831.3376524

論文URL

https://doi.org/10.1145/3313831.3376524

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Inclusiveness & diversity

Paper session
313A O'AHU
5 件の発表
2020-04-30 23:00:00
2020-05-01 00:15:00
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