Literature DB >> 28636619

What do computer scientists tweet? Analyzing the link-sharing practice on Twitter.

Marco Schmitt1, Robert Jäschke2,3.   

Abstract

Twitter communication has permeated every sphere of society. To highlight and share small pieces of information with possibly vast audiences or small circles of the interested has some value in almost any aspect of social life. But what is the value exactly for a scientific field? We perform a comprehensive study of computer scientists using Twitter and their tweeting behavior concerning the sharing of web links. Discerning the domains, hosts and individual web pages being tweeted and the differences between computer scientists and a Twitter sample enables us to look in depth at the Twitter-based information sharing practices of a scientific community. Additionally, we aim at providing a deeper understanding of the role and impact of altmetrics in computer science and give a glance at the publications mentioned on Twitter that are most relevant for the computer science community. Our results show a link sharing culture that concentrates more heavily on public and professional quality information than the Twitter sample does. The results also show a broad variety in linked sources and especially in linked publications with some publications clearly related to community-specific interests of computer scientists, while others with a strong relation to attention mechanisms in social media. This refers to the observation that Twitter is a hybrid form of social media between an information service and a social network service. Overall the computer scientists' style of usage seems to be more on the information-oriented side and to some degree also on professional usage. Therefore, altmetrics are of considerable use in analyzing computer science.

Entities:  

Mesh:

Year:  2017        PMID: 28636619      PMCID: PMC5479540          DOI: 10.1371/journal.pone.0179630

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  12 in total

1.  A method of estimating comparative rates from clinical data; applications to cancer of the lung, breast, and cervix.

Authors:  J CORNFIELD
Journal:  J Natl Cancer Inst       Date:  1951-06       Impact factor: 13.506

2.  Online collaboration: Scientists and the social network.

Authors:  Richard Van Noorden
Journal:  Nature       Date:  2014-08-14       Impact factor: 49.962

3.  Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data.

Authors:  Joost C F de Winter; Samuel D Gosling; Jeff Potter
Journal:  Psychol Methods       Date:  2016-05-23

4.  Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact.

Authors:  Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2011-12-19       Impact factor: 5.428

5.  Who tweets? Deriving the demographic characteristics of age, occupation and social class from twitter user meta-data.

Authors:  Luke Sloan; Jeffrey Morgan; Pete Burnap; Matthew Williams
Journal:  PLoS One       Date:  2015-03-02       Impact factor: 3.240

6.  Social media fingerprints of unemployment.

Authors:  Alejandro Llorente; Manuel Garcia-Herranz; Manuel Cebrian; Esteban Moro
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

7.  Astrophysicists' conversational connections on Twitter.

Authors:  Kim Holmberg; Timothy D Bowman; Stefanie Haustein; Isabella Peters
Journal:  PLoS One       Date:  2014-08-25       Impact factor: 3.240

8.  Correction: The Post-Embargo Open Access Citation Advantage: It Exists (Probably), It's Modest (Usually), and the Rich Get Richer (of Course).

Authors: 
Journal:  PLoS One       Date:  2016-10-21       Impact factor: 3.240

9.  Do altmetrics work? Twitter and ten other social web services.

Authors:  Mike Thelwall; Stefanie Haustein; Vincent Larivière; Cassidy R Sugimoto
Journal:  PLoS One       Date:  2013-05-28       Impact factor: 3.240

10.  Open Access Meets Discoverability: Citations to Articles Posted to Academia.edu.

Authors:  Yuri Niyazov; Carl Vogel; Richard Price; Ben Lund; David Judd; Adnan Akil; Michael Mortonson; Josh Schwartzman; Max Shron
Journal:  PLoS One       Date:  2016-02-17       Impact factor: 3.240

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  1 in total

1.  Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams.

Authors:  Lisa Singh; Leticia Bode; Ceren Budak; Kornraphop Kawintiranon; Colton Padden; Emily Vraga
Journal:  J Comput Soc Sci       Date:  2020-11-27
  1 in total

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