Content analysis of journal articles on wiki in science direct database.
Majhi, Sabitri ; Jal, Chanda ; Maharana, Bulu 等
Introduction
A wiki is a collection of easily editable web pages, which enable
anyone who accesses it to contribute or modify content, using a
simplified markup language. Wiki can be used for collaborative writing
and problem solving tasks. Over the period of time many remarkable wikis
were developed, such as Mediawiki, PBWorks, Wikipedia, Wikibooks etc. A
great example of a large Wiki is the Wikipedia, a free encyclopedia
which can be edited by anyone on the web. (Anderson, 2012).
As wiki creates a platform for content posting and has an important
place in the publishing world. It can be used as a great platform to
plan and manage a project, business organizations can use Wiki to put
the manuals online for the workers, Wikis are the great platforms for
event management, Libraries can use wiki as reference source and subject
guides for the users. By providing a collaborative learning environment,
it enables the learners to collectively contribute the content while
building the website and editing new pages. In the present knowledge
society wiki is beneficial for learner engagement, collaborative
learning, instructional design and many more.
As explained above Wiki is having lot of implication and being used
for various purposes, the importance of research in wiki in today's
world is undisputable.
Research publications are the epithet of intellectual discoveries
primarily aiming to transmit new ideas or information for bringing
advancement in knowledge and applying in all areas. As wiki is having
lots of implications as mentioned earlier, it is highly essential to
analyze the contents of the publications on wiki, by taking different
aspects, such as, research method applied in the wiki articles, the
subject background of authors publishing articles on wiki, quantity of
publications on Wiki etc.
Review of literature
Content analysis is a set of procedures for collecting and
organizing information in a standardized format that allows analysts to
make inferences about the characteristics and meaning of written and
other recorded material (GAO, 1989). It is a powerful tool for examining
trends, patterns in documents, authorship pattern etc. The values and
intentions of the authors can be inferred from the data which may reveal
underlying themes and associations (Duriau, Reger and Pfarrer, 2007).
Number of studies has been made to analyze the content of the
documents. Alias et. al (2013) made a content analysis of studies in the
field of Wikis that were published in six major journals: TOJET,
Educational Technology & Society, Educational Technology Research
&Development, Computers & Education, Australasian Journal of
Educational Technology and British Journal of Educational Technology.
The result reveals that, there has been an increase in the number of
articles written on the use of wiki for collaborative learning. The
articles were mainly on research but employed a variety of research
designs. The articles written from 2007 to 2012 covered several themes:
learner engagement, collaborative learning, effectiveness, assessment
and instructional design. Aharony (2011) in the study entitled "Web
2.0 in the professional LIS literature: An exploratory analysis"
made a content analysis of descriptors and journal titles extracted from
the Library and Information Science Abstracts (LISA) database, focusing
on the keyword Web 2.0 and its popular applications: wiki, blog, social
network and tags. The findings divulge that the percentage of
peer-reviewed articles relating to Web 2.0 is quite low, and a close
link between Web 2.0 and library issues. Alias et. al. (2013) made
content analysis of studies in the field of Twitter that were published
in seven major journals and the study revealed that the use of Twitter
is still new in the arena of teaching and learning as it was first
introduced in 2006. However, it was proven through the articles that
Twitter can be the trending networking medium and learning method.
This implies that role of wiki in education is becoming more
important and is being realized by the researchers in this field.
Research objectives
The main objective of the study is to identifying the trend of
research in wiki and to analyze the content of the articles on wiki
published in the journal of science direct database. Besides, the study
is primarily aims at the following objectives:
1. To find out type of methods of research used in wiki articles in
the journal of science direct database.
2. To find out the type of data analysis techniques used for wiki
articles in the journal of science direct database.
3. To find out the most productive country contributing highest
number of articles on Wiki
4. To find Authorship pattern of publications.
5. To find out the year wise publication of wiki articles in the
journal of science direct database.
6. To identify subject background of the authors publishing
articles on wiki.
Methodology
For the present work wiki articles were retrieved on 1st February
2014, from the science direct database using the advanced search
facility. Both the keywords "wiki" and "Wikipedia"
were taken for searching, and they were combined with the Boolean
operator 'OR'. Under the 'field' option in the
database 'title' was chosen in order to retrieve those
articles having at least one of the keywords from "wiki" or
"Wikipedia in the title of the article. Again, only
'Journals' option was selected in order to retrieve the
articles appearing in the journals under Science Direct Database. As
Wikipedia is the most popular Wiki on web and a lot of research is
carried on Wikipedia, both the keyword Wiki and Wikipedia has been taken
for retrieving the articles from the Science direct database. Out of
total 142 hits, the articles without having abstract and full text were
excluded from the study and a total of 89 numbers of articles were
selected for Analysis. The data were collected, organized and analyzed
from different aspects such as Highest contributing author, year wise
publication, research method applied, authorship pattern, authors
subject background etc. using MSEXCEL.
Analysis and interpretation
Data analysis is a practice in which raw data is ordered and
organized so that useful information can be extracted from it. The
process of organizing and thinking about data is key to understanding
what the data does and does not contain.
For the present work journal articles on wiki were collected from
the science direct database from the Year 2005 to till date, using the
advanced search facility. Both the keywords "wiki" and
"Wikipedia" were taken for searching, and they were combined
with the Boolean operator 'OR'. Under the 'field'
option in the database 'title' was chosen in order to retrieve
those articles having both the keywords "wiki" and
"Wikipedia in the title of the article. The data were collected,
organized and analyzed from different aspects such as Highest
contributing author, year wise publication, research method applied in
the article, authorship pattern, authors subject background etc. using
MS-EXCEL.
The table and graphs were generated in accordance with the
objectives of the study and necessary analysis work is done keeping in
view the objectives of the study Year wise Growth of publication.
Year wise measure of publication is one of the very important
indicators in order to assess the year wise degree of growth of
publication and to find out the most productive year of publication. In
the following table,
Above table presents year wise publication of journal articles on
wiki in science direct database over a period of 10 years that is during
2005 to 2014. The year 2012 is the highest productive year in which 36
(40.44%) number of wiki articles published in the journal of science
direct database, Followed by next majority 15(16.85) in the year 2010
and lowest number of articles published in the year 2005, 2006, 2014 in
which on '1', (1.12%) wiki articles published. As the year
2005 is the year of inception of the concept 'wiki', lowest
number of paper that is only 1 paper is published as reflected in the
science direct database.
Authorship pattern
Authorship pattern discloses how the papers are distributed among
the authors, authors collaboration etc. Authorship pattern is one of the
very important indicators in order to assess the degree of collaboration
of the authors in a particular discipline.
Table-2 indicates the highest 48 (53.93%) of articles have
collaborative authors followed by 27 (30.33%) with joint authors, 14
(15.73%) single author respectively published the wiki articles in the
journal of science direct data base. Data relating to authorship pattern
as above is evident that authors of wiki have a tendency to work in
collaboration
Country Wise distribution of the Publications
The standard or the growth in research of country could be known
from its contributions to the publication world. Unless and until a
country is undertaken research in the current topics or topics of high
importance to the society, it will lagging behind in all respect. The
study of ranking of countries is not only interesting but also become
crucial.
Above table-3, presents the data relating to publication of wiki
articles during 10 years i.e. from 2005-2014 from different countries.
At a look towards the geographical distribution of journal articles of
wiki, the table depicts that, highest amount of article published by the
author from Germany that is 11(12.35%), followed by next majority that
is 10(11.23%) by authors from USA. Very less number of contribution i.e.
1(1.12%) is by the author from Finland, Denmark and Norway.
Data analysis techniques used in articles
Data analysis techniques may vary in different research articles.
In the present study different type of data analysis technique used are
presented in the following table.
As reflected in the Table-4, Descriptive data analysis seemed to be
the favored method used in majority i.e.22 (24.71) of articles, followed
by 21 (23.59%) used combination of both qualitative and quantitative
data analysis technique. Very less number of articles used Quantitative
data analysis and Descriptive+Inferencial data analysis technique.
Categories of articles according to research method
Research methodology may vary in different research articles. In
the present study different type of Research methodology used are
presented in the following table.
Table-5 describe about the research method is used for the wiki
articles in the journal of science direct data base. Majority of the
articles i.e. 24(26.96) were used Survey method, followed by next
majority 20(22.47) used Case study method and very less number of
articles i.e 2(2.24%) used Cognitive mapping and Content analysis
Subject background of the authors
Study of Subject background of the authors is an important
indicator to find more quantum of research taken place by the people of
particular disciplines. Table number-4, presents subject background of
authors those who published wiki articles in the journal of science
direct database
As reflected in the table, majority (16.85%) of the authors are
from Computer science, followed by next majority of articles is
published by authors from English. Very less number of contributions
(1.12) are from Information systems and advance computing, Human
resources and organization, applied cognitive psychology and media
psychology, Education and professional studies, chemical and physical
science, information science, Library and information science, Tourism,
leisure, hotel and sport management.
Findings and discussion
As a result of systematic analysis of data obtained for the present
study, the investigator observes the following facts about the study of
content analysis of wiki articles on the journal of science direct data
base
1. Study of year wise publication of journal articles on wiki in
science direct database over a period of 10 years i.e. is during 2005 to
2014, reveals that, the year 2012 is the most productive year in which
highest number of wiki articles published, in the journal of science
direct database and Followed by next majority are published in the year
2010 and lowest number of articles were published in the year 2005,
2006, 2014.
As the year 2005, is the year of inception of Wiki, very less
number of articles might have been published in the year 2005 and 2006
because of this reason. On the other hand as the year 2014 is the
continuing year, very insignificant number of publication on Wiki is
appearing in Science Direct and it may increase at the end of the Year.
2. Out of 89 numbers of publications only 14 are single authored
and rest 75 number of articles is co-authored. So it is evident that
authors of wiki articles have a tendency to work in collaboration with
other researchers.
3. At a look towards the geographical distribution of journal
articles of wiki, the result reveals that, highest amount of article
published by the author of Germany, followed by next majority by the
authors from USA. Very less number of contributions is made by the
author from Finland, Denmark and Norway. From the analysis it is
revealed that Germany and USA predominate in the research on Wiki.
4. Descriptive data analysis seemed to be the favored method used
in majority i.e.22 (24.71) number of articles, followed by 21 (23.59%)
used combination of both qualitative and quantitative data analysis
technique. Very less number of articles used Quantitative data analysis
(only) and Descriptive+Inferencial data analysis technique.
5. Majority of the articles used Survey method followed by next
majority used Case study method and very less number of articles used
Cognitive mapping and Content analysis
6. The multidisciplinary nature of Wiki research is evident from
the fact that, the research publications are drawn from a large array of
subjects from computer Science to Humanities. However the Majority of
the authors are from Computer science, followed by next majority is from
English. Very less number of contributions is from Food science and
technology, Human resources and organization, applied cognitive
psychology and media psychology, Education and professional studies,
chemical and physical science, Library and information science, Tourism,
leisure, hotel and sport management. This is quite clear from the above
discussion that the system aspects of Wiki constitute a major area of
research in Computer Science disciplines.
Conclusion
Wiki represents the most popular Web 2.0 genre technological tool.
In the present knowledge society wiki is beneficial for learner
engagement, collaborative learning, instructional design and many more.
Research and development in this new technology emanates from a multiple
disciplines starting from computer science to humanities and cognitive
sciences. The present study carries a high empirical value as it
analyzes the content of the wiki articles to make an assessment of
various dimensions of the research taking place on Wiki. Although papers
on Wiki are published from countries across the world, Germany and USA
have a lion share of these publications.
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Mrs. Sabitri Majhi
Lecturer, P.G. Department of Library and Information Science,
Sambalpur University, Odisha, E-mail: sabitriindia@gmail.com
Ms. Chanda Jal
P.G. Department of Library and Information Science, Sambalpur
University, Odisha,
Dr. Bulu Maharana, Reader and H.O.D, P.G. Department of Library and
Information Science, Sambalpur University, Odisha, E-mail:
bulumaharana@gmail.com
Table-1
sl no Year Number of Percentage
articles published
1 2012 36 40.44
2 2010 15 16.85
3 2013 13 14.6
4 2009 7 7.86
5 2011 7 7.86
6 2007 4 4.49
7 2008 4 4.49
8 2005 1 1.12
9 2006 1 1.12
10 2014 1 1.12
total=89
Table-2 authorship pattern
sl no Authorship pattern Number of Percentage
contribution
1 collaborative author 48 53.93
2 joint author 27 30.33
3 single author 14 15.73
total=89
Table-3
Country Frequency Percentage
Germany 11 12.35
USA 10 11.23
Spain 7 7.86
France 6 6.74
UK 6 6.74
US 6 6.74
Japan 5 5.61
Australia 4 4.49
Italy 4 4.49
Korea 4 4.49
Taiwan 4 4.49
China 3 3.37
Malaysia 3 3.37
Netherlands 3 3.37
Belgium 2 2.24
Greece 2 2.24
India 2 2.24
Ireland 2 2.24
Newzealand 2 2.24
Denmark 1 1.12
Finland 1 1.12
Norway 1 1.12
Total = 89
Table-4 Data analysis Techniques Used
Dataanalysis Techniques Frequency = (89) Percentage
Descriptive data analysis 22 24.71
Both qualitative and quantitative 21 23.59
Statistical data analysis 14 15.73
Inferencial 10 11.23
Qualitative data analysis 8 8.98
Inductive qualitative 6 6.74
Descriptive+Inferencial 5 5.61
Quantitative data analysis 3 3.37
Total=89
Table-5
Research method Frequency = (89) Percentage
Survey method 24 26.96
Case study method 20 22.47
Experimental method 13 14.6
Delphi study 8 8.98
Observation method 11 12.35
Survey and content analysis 2 2.24
method
Cognitive mapping 2 2.24
Content analysis 2 2.24
Total=89
Table-6
Subject background of author Frequency=(89) Percentage
Computer science 15 16.85
English 6 6.74
Information management 4 4.49
psychology 4 4.49
Computer science and artificial 4 4.49
intelligence
Mathematical science 3 3.37
Electrical and computer engineering 3 3.37
Chemical engineering 3 3.37
Visual communication and technology 3 3.37
education
Computer engineering 3 3.37
Computer science and mathematics 2 2.24
Information technology 2 2.24
Education 2 2.24
Information system 2 2.24
Information science 2 2.24
Economics 2 2.24
Computing languages and system 2 2.24
Adverting and public relation 2 2.24
Educational study 2 2.24
physiology 2 2.24
Media studies 2 2.24
Molecular and experimental medicine, 2 2.24
biochemistry and molecular biology
Educational policy, organization 2 2.24
and leadership
Management information system 2 2.24
Philosophy, sociology, 2 2.24
education and applied psychology
Computer language system and 2 2.24
computer science
Computer science and information 2 2.24
engineering
Information systems and advance 1 1.12
computing
Food science and technology 1 1.12
Human resources and organization, 1 1.12
applied cognitive psychology
and media psychology
Education and professional studies, 1 1.12
chemical and physical science
Information science 1 1.12
Library and information science 1 1.12
Tourism, leisure, hotel and 1 1.12
sport management
Total=89
Figure-1 Year-wise growth of wiki articles
2012 40.44
2010 16.85
2013 14.6
2009 7.86
2011 7.86
2007 4.49
2008 4.49
2005 1.12
2006 1.12
2014 1.12
Note: Table made from bar graph.
Figure-2 Country wise distribution of Publications
Germany 12.35
USA 11.23
Spain 7.86
FRNCEFFG France 6.74
UK 6.74
US 6.74
Japan 5.61
Australia 4.49
Italy 4.49
Korea 4.49
Taiwan 4.49
China 3.37
Malaysia 3.37
Nehtherlands 3.37
Belgium 2.24
Greece 2.24
India 2.24
Ireland 2.24
Newzealand 2.24
Denmark 1.12
Finland 1.12
Norway 1.12
Note: Table made from bar graph.
Figure-3 Data analysis techniques used in Articles
Descriptive date analysis 24.71
Both qualitative and ... 23.59
Statistical data analysis 15.73
Inferencial 11.23
Qualitative data analysis 8.98
Inductive qualitataive 6.74
Descriptive+Inferencial 5.61
Qualitative data analysis 3.37
Note: Table made from bar graph.
Figure-5 Categories of articles according to research method
Survey method 26.96
Case study method 22.47
Experimental method 14.6
Delphi study 8.98
Observation method 12.35
Survey and content ... 2.24
Cognitive mapping 2.24
Content analysis 2.24
Note: Table made from bar graph.
Figure-6 Subject background of the authors
Computer science 16.85
English 6.74
Information management 4.49
Psychology 4.49
Computer science and ... 4.49
Mathematical science 3.37
Electrical and computer ... 3.37
Chemical engineering 3.37
Visual communication and ... 3.37
Computer engineering 3.37
Note: Table made from bar graph.