January 24, 2022

Journal Article: How Do Scholars and Non-Scholars Participate in Dataset Dissemination on Twitter

The article linked below was recently published by the Journal of Informetrics.

Title

How Do Scholars and Non-Scholars Participate in Dataset Dissemination on Twitter

Authors

Jianhua Hou
Guangzhou Higher Education Mega Center, China

Yuanyuan Wang
Guangzhou Higher Education Mega Center, China

Yang Zhang
Guangzhou Higher Education Mega Center, China

Dongyi Wang
Guangzhou Higher Education Mega Center, China

Source

Journal of Informetrics
Volume 16, Issue 1
February 2022, 101223

DOI: 10.1016/j.joi.2021.101223

Abstract

Focusing on the dataset dissemination structure on Twitter, this study aims to investigate how users of two different identities, scholars and the public, participate in the dissemination process. We collected 2464 datasets from Altmetric.com and used social network analysis to plot the graphs. From a macroscopic viewpoint, most datasets were diffused by viral dissemination (structure II) and mixed dissemination (structure III), and the diffusion level was fundamentally one or two levels. Based on the topics clustering results of the datasets, the majority were about open access, research data, and Altmetrics, as well as astronomy, biology, medicine, and environmental engineering.

Source: 10.1016/j.joi.2021.101223

The dataset dissemination structure shared a little relationship with the research topic. From the microscopic viewpoint of parent nodes and child nodes, during the dataset dissemination, there were only marginally more Twitter users with scholar status than non-scholar ones, suggesting that compared with traditional academic accomplishments such as journal papers. However, the dataset seems to be more professional and targeted; significant audience beyond academics are also involved. During disseminating datasets on Twitter, most tended to be diffused among users of the same identity. However, a few non-scholars played crucial roles, such as super users and intermediaries. Overall, a considerable part of tweets and tweets of parent nodes with the ability to spread is primarily the tweets commented simultaneously forwarded (type II) are posted at the same time commented. Hence, this study underlines the significance of research data-sharing and social media’s role in public participation in science.

Direct to Full Text Article

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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