Étiquette : social media

Catégories
EN

A case study exploring associations between popular media attention of scientific research and scientific citations

Authors : P. Sage Anderson, Aubrey R. Odom, Hunter M. Gray, Jordan B. Jones, William F. Christensen, Todd Hollingshead, Joseph G. Hadfield, Alyssa Evans-Pickett, Megan Frost, Christopher Wilson, Lance E. Davidson, Matthew K. Seeley

The association between mention of scientific research in popular media (e.g., the mainstream media or social media platforms) and scientific impact (e.g., citations) has yet to be fully explored.

The purpose of this study was to clarify this relationship, while accounting for some other factors that likely influence scientific impact (e.g., the reputations of the scientists conducting the research and academic journal in which the research was published).

To accomplish this purpose, approximately 800 peer-reviewed articles describing original research were evaluated for scientific impact, popular media attention, and reputations of the scientists/authors and publication venue.

A structural equation model was produced describing the relationship between non-scientific impact (popular media) and scientific impact (citations), while accounting for author/scientist and journal reputation.

The resulting model revealed a strong association between the amount of popular media attention given to a scientific research project and corresponding publication and the number of times that publication is cited in peer-reviewed scientific literature.

These results indicate that (1) peer-reviewed scientific publications receiving more attention in non-scientific media are more likely to be cited than scientific publications receiving less popular media attention, and (2) the non-scientific media is associated with the scientific agenda.

These results may inform scientists who increasingly use popular media to inform the general public and scientists concerning their scientific work. These results might also inform administrators of higher education and research funding mechanisms, who base decisions partly on scientific impact.

URL : A case study exploring associations between popular media attention of scientific research and scientific citations

DOI : https://doi.org/10.1371/journal.pone.0234912

Catégories
Non classé

Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work

Authors : Samara Klar, Yanna Krupnikov, John Barry Ryan, Kathleen Searles, Yotam Shmargad

To disseminate research, scholars once relied on university media services or journal press releases, but today any academic can turn to Twitter to share their published work with a broader audience.

The possibility that scholars can push their research out, rather than hope that it is pulled in, holds the potential for scholars to draw wide attention to their research. In this manuscript, we examine whether there are systematic differences in the types of scholars who most benefit from this push model.

Specifically, we investigate the extent to which there are gender differences in the dissemination of research via Twitter.

We carry out our analyses by tracking tweet patterns for articles published in six journals across two fields (political science and communication), and we pair this Twitter data with demographic and educational data about the authors of the published articles, as well as article citation rates.

We find considerable evidence that, overall, article citations are positively correlated with tweets about the article, and we find little evidence to suggest that author gender affects the transmission of research in this new media.

URL : Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work

DOI : https://doi.org/10.1371/journal.pone.0229446

Catégories
EN

How Can We Use Social Media Data Related to OA Monographs

Authors : Alkim Ozaygen, Lucy Montgomery, Cameron Neylon, Katie Wilson, RichardHosking, Karl Huang

This paper reports on a study of social media events relating to 28 Open Access (OA) monographs, published between 2014 and 2015. As with citations (Cronin 1981) social media events represent the frozen footprints of the journey that monographs take as they move through digital landscapes.

The study captured mentions of the study-set of monographs via Twitter, Facebook, Wikipedia and online blogs; as well as user ratings on Google Books, Amazon and Goodreads.

Information relating to the ways in which the books were bookmarked and cited was captured via the online reference managing platform Mendeley. The benefits and limitations of different altmetrics approaches to capturing and analyzing this data are discussed.

Practical suggestions for researchers interested in the application of Altmetrics approaches to studies of monographs are also provided.

URL : https://hal.archives-ouvertes.fr/hal-02544911

Catégories
EN

Aligning Social Media Indicators with the Documents in an Open Access Repository

Authors: Luis Meneses, Alyssa Arbuckle, Hector Lopez, Belaid Moa, Richard Furuta, Ray Siemens

In this paper we describe our current efforts towards building a framework that extends the functionality of an Open Access Repository by implementing processes to incorporate the ongoing trends in social media into the context of a digital collection.

We refer to these processes collectively as the Social Media Engine. The purpose of our framework is twofold: first, we propose to challenge some of the preconceived notions of digital libraries by making repositories more dynamic; and second, by challenging this notion we want to promote public engagement and open scholarship.

As a work in progress, we believe that a real challenge lies in investigating the implications that these two points introduce within the context of the humanities.

URL : Aligning Social Media Indicators with the Documents in an Open Access Repository

DOI : http://doi.org/10.5334/kula.44

Catégories
EN

Open-access policy and data-sharing practice in UK academia

Author : Yimei Zhu

Data sharing can be defined as the release of research data that can be used by others. With the recent open-science movement, there has been a call for free access to data, tools and methods in academia. In recent years, subject-based and institutional repositories and data centres have emerged along with online publishing.

Many scientific records, including published articles and data, have been made available via new platforms. In the United Kingdom, most major research funders had a data policy and require researchers to include a ‘data-sharing plan’ when applying for funding.

However, there are a number of barriers to the full-scale adoption of data sharing. Those barriers are not only technical, but also psychological and social. A survey was conducted with over 1800 UK-based academics to explore the extent of support of data sharing and the characteristics and factors associated with data-sharing practice.

It found that while most academics recognised the importance of sharing research data, most of them had never shared or reused research data. There were differences in the extent of data sharing between different gender, academic disciplines, age and seniority.

It also found that the awareness of Research Council UK’s (RCUK) Open-Access (OA) policy, experience of Gold and Green OA publishing, attitudes towards the importance of data sharing and experience of using secondary data were associated with the practice of data sharing.

A small group of researchers used social media such as Twitter, blogs and Facebook to promote the research data they had shared online. Our findings contribute to the knowledge and understanding of open science and offer recommendations to academic institutions, journals and funding agencies.

DOI : https://doi.org/10.1177/0165551518823174

Catégories
EN

Scholars’ temporal participation on, temporary disengagement from, and return to Twitter

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

Catégories
EN

What increases (social) media attention: Research impact, author prominence or title attractiveness?

Authors : Olga Zagovora, Katrin Weller, Milan Janosov, Claudia Wagner, Isabella Peters

Do only major scientific breakthroughs hit the news and social media, or does a ‘catchy’ title help to attract public attention? How strong is the connection between the importance of a scientific paper and the (social) media attention it receives?

In this study we investigate these questions by analysing the relationship between the observed attention and certain characteristics of scientific papers from two major multidisciplinary journals: Nature Communication (NC) and Proceedings of the National Academy of Sciences (PNAS).

We describe papers by features based on the linguistic properties of their titles and centrality measures of their authors in their co-authorship network.

We identify linguistic features and collaboration patterns that might be indicators for future attention, and are characteristic to different journals, research disciplines, and media sources.

URL : https://arxiv.org/abs/1809.06299