Authors : Zhichao Fang, Jonathan Dudek, Rodrigo Costas
This paper investigates the stability of Twitter counts of scientific publications over time. For this, we conducted an analysis of the availability statuses of over 2.6 million Twitter mentions received by the 1,154 most tweeted scientific publications recorded by this http URL up to October 2017.
Results show that of the Twitter mentions for these highly tweeted publications, about 14.3% have become unavailable by April 2019. Deletion of tweets by users is the main reason for unavailability, followed by suspension and protection of Twitter user accounts.
This study proposes two measures for describing the Twitter dissemination structures of publications: Degree of Originality (i.e., the proportion of original tweets received by a paper) and Degree of Concentration (i.e., the degree to which retweets concentrate on a single original tweet).
Twitter metrics of publications with relatively low Degree of Originality and relatively high Degree of Concentration are observed to be at greater risk of becoming unstable due to the potential disappearance of their Twitter mentions.
In light of these results, we emphasize the importance of paying attention to the potential risk of unstable Twitter counts, and the significance of identifying the different Twitter dissemination structures when studying the Twitter metrics of scientific publications.
URL : https://arxiv.org/abs/2001.07491
Auteurs/Authors : Lucie Loubère, Fidelia Ibekwe-Sanjuan
Les réseaux sociaux en se diffusant sur l’intégralité de la société sont également entrés dans le monde de la recherche. Ces outils accélèrent la circulation de l’information, et pourraient atteindre une audience différente du circuit universitaire.
Parallèlement les plateformes de savoir ouvert se développent et rendent accessible à tout le monde le savoir scientifique. Notre étude se focalise sur l’étude des tweets émis entre 2013 et 2017 pointant vers un contenu d’OpenEdition. Nous avons analysé les réseaux de retweets ainsi que les contenus textuels des tweets par étude lexicométrique.
Les résultats tendent à montrer une conservation des pratiques institutionnelles avec un cloisonnement linguistique et disciplinaire tant dans les pratiques de retweets que dans les contenus textuels.
URL : https://hal.archives-ouvertes.fr/hal-02307664
Authors : George Veletsianos, Royce Kimmons, Olga Belikov, Nicole Johnson
Even though the extant literature investigates how and why academics use social media, much less is known about academics’ temporal patterns of social media use.
This mixed methods study provides a first-of-its-kind investigation into temporal social media use. In particular, we study how academics’ use of Twitter varies over time and examine the reasons why academics temporarily disengage and return to the social media platform.
We employ data mining methods to identify a sample of academics on Twitter (n = 3,996) and retrieve the tweets they posted (n = 9,025,127). We analyze quantitative data using descriptive and inferential statistics, and qualitative data using the constant comparative approach.
Results show that Twitter use is predominantly connected to traditional work hours and is well-integrated into academics’ professional endeavors, suggesting that professional use of Twitter has become “ordinary.”
Though scholars rarely announce their departure from or return to Twitter, approximately half of this study’s participants took some kind of a break from Twitter.
Although users returned to Twitter for both professional and personal reasons, conferences and workshops were found to be significant events stimulating the return of academic users.
URL : https://firstmonday.org/ojs/index.php/fm/article/view/8346
Authors : Victoria Tur-Viñes, Jesús Segarra-Saavedra, Tatiana Hidalgo-Marí
This is an exploratory study on the Twitter profiles managed by 30 Spanish Communication journals. The aim is to analyse the profile management, to identify the features of the most interactive content, and to propose effective practices motivating strategic management.
The management variables considered were the following: the launch date of the journal and launch of the Twitter profile; published content and frequency of publication; number of publications in 2016; number of Twitter followers.
The identification of the features of the most interactive tweets was performed in a 150-unit sample, taking into consideration the following factors: the number of retweets, likes, type of content (motivation), components forming the content, the date and time of publication, and origin of the publication (internal or unrelated).
The results reveal notable practices and certain deficiencies in the strategic management of social profiles. Twitter represents an innovative opportunity in scientific dissemination, and it establishes an inalienable strategy for creating and maintaining the brand-journal while retaining the need to strengthen followers’ reciprocity. Other potential uses are suggested.
URL : Use of Twitter in Spanish Communication Journals
Alternative location : http://www.mdpi.com/2304-6775/6/3/34
Authors : Clayton T. Lamb, Sophie L. Gilbert, Adam T. Ford
Science communication is seen as critical for the disciplines of ecology and conservation, where research products are often used to shape policy and decision making. Scientists are increasing their online media communication, via social media and news.
Such media engagement has been thought to influence or predict traditional metrics of scholarship, such as citation rates. Here, we measure the association between citation rates and the Altmetric Attention Score—an indicator of the amount and reach of the attention an article has received—along with other forms of bibliometric performance (year published, journal impact factor, and article type).
We found that Attention Score was positively correlated with citation rates. However, in recent years, we detected increasing media exposure did not relate to the equivalent citations as in earlier years; signalling a diminishing return on investment.
Citations correlated with journal impact factors up to ∼13, but then plateaued, demonstrating that maximizing citations does not require publishing in the highest-impact journals. We conclude that ecology and conservation researchers can increase exposure of their research through social media engagement and, simultaneously, enhance their performance under traditional measures of scholarly activity.
URL : Tweet success? Scientific communication correlates with increased citations in Ecology and Conservation
DOI : https://doi.org/10.7717/peerj.4564
Authors : Michael Paskevicius, George Veletsianos, Royce Kimmons
Inspired by open educational resources, open pedagogy, and open source software, the openness movement in education has different meanings for different people. In this study, we use Twitter data to examine the discourses surrounding openness as well as the people who participate in discourse around openness.
By targeting hashtags related to open education, we gathered the most extensive dataset of historical open education tweets to date (n = 178,304 tweets and 23,061 users) and conducted a mixed methods analysis of openness from 2009 to 2016.
Findings show that the diversity of participants has varied somewhat over time and that the discourse has predominantly revolved around open resources, although there are signs that an increase in interest around pedagogy, teaching, and learning is emerging.
URL : Content is King: An Analysis of How the Twitter Discourse Surrounding Open Education Unfolded From 2009 to 2016
DOI : http://dx.doi.org/10.19173/irrodl.v19i1.3267
Authors : Lutz Bornmann, Robin Haunschild
The web-based microblogging system Twitter is a very popular altmetrics source for measuring the broader impact of science. In this case study, we demonstrate how problematic the use of Twitter data for research evaluation can be, even though the aspiration of measurement is degraded from impact to attention measurement.
We collected the Twitter data for the paper published by Yamamizu et al. (2017). An investigative committee found that the main figures in the paper are fraudulent.
URL : https://arxiv.org/abs/1802.00606