Abstract
To disseminate research, scholars once relied on university media services or journal press releases, but today any academic can turn to Twitter to share their published work with a broader audience. The possibility that scholars can push their research out, rather than hope that it is pulled in, holds the potential for scholars to draw wide attention to their research. In this manuscript, we examine whether there are systematic differences in the types of scholars who most benefit from this push model. Specifically, we investigate the extent to which there are gender differences in the dissemination of research via Twitter. We carry out our analyses by tracking tweet patterns for articles published in six journals across two fields (political science and communication), and we pair this Twitter data with demographic and educational data about the authors of the published articles, as well as article citation rates. We find considerable evidence that, overall, article citations are positively correlated with tweets about the article, and we find little evidence to suggest that author gender affects the transmission of research in this new media.
Highlights
While some research suggests that social media can broaden academic [13], scholars debate whether social media replicate pre-existing structural inequalities [14] or rather to help to eliminate them
Even when the goal is to obtain and disseminate research, patterns of Twitter followers still show evidence of academic hierarchies, which suggests that social media may replicate inequalities [21]
We investigate whether social media serves as an equalizing force within academia by allowing academics to disseminate their work without the traditional gatekeeping of existing academic hierarchies, or whether social media merely reinforces existing systematic biases in whose academic research tends to receive broader attention
Summary
Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work a1111111111 a1111111111 a1111111111 a1111111111 a1111111111. Samara KlarID1*, Yanna Krupnikov, John Barry Ryan, Kathleen Searles, Yotam Shmargad
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