283 research outputs found
Government and Social Media: A Case Study of 31 Informational World Cities
Social media platforms are increasingly being used by governments to foster
user interaction. Particularly in cities with enhanced ICT infrastructures
(i.e., Informational World Cities) and high internet penetration rates, social
media platforms are valuable tools for reaching high numbers of citizens. This
empirical investigation of 31 Informational World Cities will provide an
overview of social media services used for governmental purposes, of their
popularity among governments, and of their usage intensity in broadcasting
information online.Comment: In Proceedings of the 47th Hawaii International Conference on System
Sciences (pp. 1715-1724). IEEE Computer Society, 201
What increases (social) media attention: Research impact, author prominence or title attractiveness?
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.Comment: Paper presented at 23rd International Conference on Science and
Technology Indicators (STI 2018) in Leiden, The Netherland
Citations in Web 2.0
Citations are a classic dimension of scientific communication. This paper looks at two different scenarios in which citation analysis can be applied to novel Web 2.0 environments: One case study deals with citations on Twitter and the other with analyzing blog posts and social bookmarking systems. (Autorenreferat
Astrophysicists on Twitter: An in-depth analysis of tweeting and scientific publication behavior
This paper analyzes the tweeting behavior of 37 astrophysicists on Twitter
and compares their tweeting behavior with their publication behavior and
citation impact to show whether they tweet research-related topics or not.
Astrophysicists on Twitter are selected to compare their tweets with their
publications from Web of Science. Different user groups are identified based on
tweeting and publication frequency. A moderate negative correlation (p=-0.390*)
is found between the number of publications and tweets per day, while retweet
and citation rates do not correlate. The similarity between tweets and
abstracts is very low (cos=0.081). User groups show different tweeting behavior
such as retweeting and including hashtags, usernames and URLs. The study is
limited in terms of the small set of astrophysicists. Results are not
necessarily representative of the entire astrophysicist community on Twitter
and they most certainly do not apply to scientists in general. Future research
should apply the methods to a larger set of researchers and other scientific
disciplines. To a certain extent, this study helps to understand how
researchers use Twitter. The results hint at the fact that impact on Twitter
can neither be equated with nor replace traditional research impact metrics.
However, tweets and other so-called altmetrics might be able to reflect other
impact of scientists such as public outreach and science communication. To the
best of our knowledge, this is the first in-depth study comparing researchers'
tweeting activity and behavior with scientific publication output in terms of
quantity, content and impact.Comment: 14 pages, 5 figures, 7 table
Tweeting biomedicine: an analysis of tweets and citations in the biomedical literature
Data collected by social media platforms have recently been introduced as a
new source for indicators to help measure the impact of scholarly research in
ways that are complementary to traditional citation-based indicators. Data
generated from social media activities related to scholarly content can be used
to reflect broad types of impact. This paper aims to provide systematic
evidence regarding how often Twitter is used to diffuse journal articles in the
biomedical and life sciences. The analysis is based on a set of 1.4 million
documents covered by both PubMed and Web of Science (WoS) and published between
2010 and 2012. The number of tweets containing links to these documents was
analyzed to evaluate the degree to which certain journals, disciplines, and
specialties were represented on Twitter. It is shown that, with less than 10%
of PubMed articles mentioned on Twitter, its uptake is low in general. The
relationship between tweets and WoS citations was examined for each document at
the level of journals and specialties. The results show that tweeting behavior
varies between journals and specialties and correlations between tweets and
citations are low, implying that impact metrics based on tweets are different
from those based on citations. A framework utilizing the coverage of articles
and the correlation between Twitter mentions and citations is proposed to
facilitate the evaluation of novel social-media based metrics and to shed light
on the question in how far the number of tweets is a valid metric to measure
research impact.Comment: 22 pages, 4 figures, 5 table
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