Archives des mots-clés : social media

Allegation of scientific misconduct increases Twitter attention

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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

The counting house: measuring those who count. Presence of Bibliometrics, Scientometrics, Informetrics, Webometrics and Altmetrics in the Google Scholar Citations, ResearcherID, ResearchGate, Mendeley & Twitter

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Authors : Alberto Martin-Martin, Enrique Orduna-Malea, Juan M. Ayllon, Emilio Delgado Lopez-Cozar

Following in the footsteps of the model of scientific communication, which has recently gone through a metamorphosis (from the Gutenberg galaxy to the Web galaxy), a change in the model and methods of scientific evaluation is also taking place.

A set of new scientific tools are now providing a variety of indicators which measure all actions and interactions among scientists in the digital space, making new aspects of scientific communication emerge.

In this work we present a method for capturing the structure of an entire scientific community (the Bibliometrics, Scientometrics, Informetrics, Webometrics, and Altmetrics community) and the main agents that are part of it (scientists, documents, and sources) through the lens of Google Scholar Citations.

Additionally, we compare these author portraits to the ones offered by other profile or social platforms currently used by academics (ResearcherID, ResearchGate, Mendeley, and Twitter), in order to test their degree of use, completeness, reliability, and the validity of the information they provide.

A sample of 814 authors (researchers in Bibliometrics with a public profile created in Google Scholar Citations was subsequently searched in the other platforms, collecting the main indicators computed by each of them.

The data collection was carried out on September, 2015. The Spearman correlation was applied to these indicators (a total of 31) , and a Principal Component Analysis was carried out in order to reveal the relationships among metrics and platforms as well as the possible existence of metric cluster.

URL : https://arxiv.org/abs/1602.02412

Social Media Attention Increases Article Visits: An Investigation on Article-Level Referral Data of PeerJ

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Authors : Xianwen Wang, Yunxue Cui, Qingchun Li, Xinhui Guo

In order to better understand the effect of social media in the dissemination of scholarly articles, employing the daily updated referral data of 110 PeerJ articles collected over a period of 345 days, we analyze the relationship between social media attention and article visitors directed by social media.

Our results show that social media presence of PeerJ articles is high. About 68.18% of the papers receive at least one tweet from Twitter accounts other than @PeerJ, the official account of the journal.

Social media attention increases the dissemination of scholarly articles. Altmetrics could not only act as the complement of traditional citation measures but also play an important role in increasing the article downloads and promoting the impacts of scholarly articles. There also exists a significant correlation among the online attention from different social media platforms.

Articles with more Facebook shares tend to get more tweets. The temporal trends show that social attention comes immediately following publication but does not last long, so do the social media directed article views.

URL : https://arxiv.org/abs/1801.02383

Scholars on Twitter: who and how many are they?

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Authors :  Rodrigo Costas, Jeroen van Honk, Thomas Franssen

In this paper we present a novel methodology for identifying scholars with a Twitter account. By combining bibliometric data from Web of Science and Twitter users identified by Altmetric.com we have obtained the largest set of individual scholars matched with Twitter users made so far.

Our methodology consists of a combination of matching algorithms, considering different linguistic elements of both author names and Twitter names; followed by a rule-based scoring system that weights the common occurrence of several elements related with the names, individual elements and activities of both Twitter users and scholars matched.

Our results indicate that about 2% of the overall population of scholars in the Web of Science is active on Twitter. By domain we find a strong presence of researchers from the Social Sciences and the Humanities. Natural Sciences is the domain with the lowest level of scholars on Twitter.

Researchers on Twitter also tend to be younger than those that are not on Twitter. As this is a bibliometric-based approach, it is important to highlight the reliance of the method on the number of publications produced and tweeted by the scholars, thus the share of scholars on Twitter ranges between 1% and 5% depending on their level of productivity. Further research is suggested in order to improve and expand the methodology.

URL : https://arxiv.org/abs/1712.05667

Visibilité numérique d’une revue scientifique en Sciences Humaines et Sociales. Une nouvelle opportunité pour les métiers du social média management

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Auteur/Author : Flavien Cartiaux

Ce mémoire est le travail de six semaines de stage qui ont abouti à la création de document permettant la mise en place d’outils afin d’augmenter considérablement la visibilité et la réputation de la revue scientifique Anthropologie des Connaissances.

Ce mémoire soulève la question de l’utilité des outils de média sociaux pour les revues scientifiques, principalement dans le domaine des sciences humaines et sociales. Il sert à montrer que si les médias sociaux sont majoritairement utilisés pour les entreprises à des fins commerciales ainsi que pour surveiller leur e-réputation, ils peuvent également être des atouts importants pour des organismes à but non-lucratifs qui souhaiteraient augmenter leurs réseaux de connaissances via le web ou alors être plus visible par une plus grande communauté afin d’améliorer la diffusion de leurs savoirs sur Internet.

Ce mémoire est donc un ensemble de réflexions portant sur l’utilisation des médias sociaux en général ainsi que sur la mise en place d’une visibilité web pour les organismes scientifiques, par la création de compte sur les réseaux sociaux, mais aussi par le référencement dans des bases de données ou par la recherche de sociétés savantes en ligne.

Je cherche à démontrer que les métiers du social média management sont indispensables dans une stratégie de communication digitale et que des organismes provenant d’un milieu académique pourraient profiter de ces outils pour accroître leur présence sur le web et diffuser leurs contenus à un plus large public de chercheurs, mais aussi de personnes intéressées par les travaux de la recherche.

URL : https://dumas.ccsd.cnrs.fr/dumas-01611559

 

Fast and Furious (at Publishers): The Motivations behind Crowdsourced Research Sharing

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Authors : Carolyn Caffrey Gardner, Gabriel J. Gardner

Crowdsourced research sharing takes place across social media platforms including Twitter hashtags such as #icanhazpdf, Reddit Scholar, and Facebook.

This study surveys users of these peer-to-peer exchanges on demographic information, frequency of use, and their motivations in both providing and obtaining scholarly information on these platforms. Respondents also provided their perspectives on the database terms of service and/or copyright violations in these exchanges.

Findings indicate that the motivations of this community are utilitarian or ideological in nature, similar to other peer-to-peer file sharing online. Implications for library services including instruction, outreach, and interlibrary loan are discussed.

URL : Fast and Furious (at Publishers): The Motivations behind Crowdsourced Research Sharing

DOI : https://doi.org/10.5860/crl.78.2.16578

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

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Authors : Marco Schmitt, Robert Jäschke

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.

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

DOI : https://doi.org/10.1371/journal.pone.0179630