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

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

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

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

Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation

Authors : Matthew L Williams, Pete Burnap, Luke Sloan

New and emerging forms of data, including posts harvested from social media sites such as Twitter, have become part of the sociologist’s data diet. In particular, some researchers see an advantage in the perceived ‘public’ nature of Twitter posts, representing them in publications without seeking informed consent.

While such practice may not be at odds with Twitter’s terms of service, we argue there is a need to interpret these through the lens of social science research methods that imply a more reflexive ethical approach than provided in ‘legal’ accounts of the permissible use of these data in research publications.

To challenge some existing practice in Twitter-based research, this article brings to the fore: (1) views of Twitter users through analysis of online survey data; (2) the effect of context collapse and online disinhibition on the behaviours of users; and (3) the publication of identifiable sensitive classifications derived from algorithms.

URL : Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation

DOI : http://dx.doi.org/10.1177%2F0038038517708140

Networked Scholarship and Motivations for Social Media use in Scholarly Communication

Authors : Stefania Manca, Maria Ranieri

Research on scholars’ use of social media suggests that these sites are increasingly being used to enhance scholarly communication by strengthening relationships, facilitating collaboration among peers, publishing and sharing research products, and discussing research topics in open and public formats.

However, very few studies have investigated perceptions and attitudes towards social media use for scholarly communication of large cohorts of scholars at national level.

This study investigates the reasons for using social media sites for scholarly communication among a large sample of Italian university scholars (N=6139) with the aim of analysing what factors mainly affect these attitudes.

The motivations for using social media were analysed in connection with frequency of use and factors like gender, age, years of teaching, academic title, and disciplinary field. The results point out that for the most used tools the influence of the variables examined was higher in shaping scholars’ motivations.

In fact, frequency of use, age, years of teaching, and disciplinary field were found to be relevant factors especially for LinkedIn and ResearchGate-Academia.edu, while gender and academic title seemed to have a limited impact on scholars’ motivations for all social media sites considered in the study.

Considerations for future research are provided along with limitations of the study.

URL : Networked Scholarship and Motivations for Social Media use in Scholarly Communication

DOI : http://dx.doi.org/10.19173/irrodl.v18i2.2859

A systematic identification and analysis of scientists on Twitter

Authors : Qing Ke, Yong-Yeol Ahn, Cassidy R. Sugimoto

Metrics derived from Twitter and other social media—often referred to as altmetrics—are increasingly used to estimate the broader social impacts of scholarship. Such efforts, however, may produce highly misleading results, as the entities that participate in conversations about science on these platforms are largely unknown.

For instance, if altmetric activities are generated mainly by scientists, does it really capture broader social impacts of science? Here we present a systematic approach to identifying and analyzing scientists on Twitter.

Our method can identify scientists across many disciplines, without relying on external bibliographic data, and be easily adapted to identify other stakeholder groups in science.

We investigate the demographics, sharing behaviors, and interconnectivity of the identified scientists.

We find that Twitter has been employed by scholars across the disciplinary spectrum, with an over-representation of social and computer and information scientists; under-representation of mathematical, physical, and life scientists; and a better representation of women compared to scholarly publishing.

Analysis of the sharing of URLs reveals a distinct imprint of scholarly sites, yet only a small fraction of shared URLs are science-related. We find an assortative mixing with respect to disciplines in the networks between scientists, suggesting the maintenance of disciplinary walls in social media.

Our work contributes to the literature both methodologically and conceptually—we provide new methods for disambiguating and identifying particular actors on social media and describing the behaviors of scientists, thus providing foundational information for the construction and use of indicators on the basis of social media metrics.

 URL : A systematic identification and analysis of scientists on Twitter

DOI : https://doi.org/10.1371/journal.pone.0175368

“Facebook for Academics”: The Convergence of Self-Branding and Social Media Logic on Academia.edu

Authors : Brooke Erin Duffy, Jefferson Pooley

Given widespread labor market precarity, contemporary workers—especially those in the media and creative industries—are increasingly called upon to brand themselves. Academics, we contend, are experiencing a parallel pressure to engage in self-promotional practices, particularly as universities become progressively more market-driven.

Academia.edu, a paper-sharing social network that has been informally dubbed “Facebook for academics,” has grown rapidly by adopting many of the conventions of popular social media sites.

This article argues that the astonishing uptake of Academia.edu both reflects and amplifies the self-branding imperatives that many academics experience. Drawing on Academia.edu’s corporate history, design decisions, and marketing communications, we analyze two overlapping facets of Academia.edu: (1) the site’s business model and (2) its social affordances.

We contend that the company, like mainstream social networks, harnesses the content and immaterial labor of users under the guise of “sharing.” In addition, the site’s fixation on analytics reinforces a culture of incessant self-monitoring—one already encouraged by university policies to measure quantifiable impact.

We conclude by identifying the stakes for academic life, when entrepreneurial and self-promotional demands brush up against the university’s knowledge-making ideals.

URL : “Facebook for Academics”: The Convergence of Self-Branding and Social Media Logic on Academia.edu

DOI : https://hcommons.org/deposits/item/hc:11561