601
ARTICLE
Journal of Sport Management, 2015, 29, 601 -618
http://dx.doi.org/10.1123/JSM.2014-0296
© 2015 Human Kinetics, Inc.
Gashaw Abeza is with the School of Human Kinetics, University
of Ottawa, Ottawa, Ontario, Canada. Norm O’Reilly is with
the Department of Sports Administration, College of Business,
Ohio University, Athens, Ohio. Benoit Séguin is with the School
of Human Kinetics, University of Ottawa, Ottawa, Ontario,
Canada. Ornella Nzindukiyimana is with Western University,
London, Ontario, Canada. Address author correspondence to
Norm O’Reilly at [email protected].
Social Media Scholarship in Sport Management Research:
A Critical Review
Gashaw Abeza
University of Ottawa
Norm O’Reilly
Ohio University
Benoit Séguin
University of Ottawa
Ornella Nzindukiyimana
Western University
This work critically assesses the history and current state of social media scholarship in sport management
research. Methodologically, the study is based on a comprehensive census review of the current body of
literature in the area of social media. The review identies 123 social media articles in sport management
research that were mined from a cross-disciplinary examination of 29 scholarly journals from January 2008
(earliest found) to June 2014. The work identies the topic areas, the platforms, the theories, and the research
methods that have received the (most/least) attention of the social media research community, and provides
suggestions for future research.
In today’s fast-paced technologically driven world,
social media platforms are rapidly and constantly evolv-
ing in their scope and extent of use, signicantly affect-
ing everyday lives of people across the globe (Rowe &
Hutchins, 2014). This transformation is noticeable in the
global sporting culture, where the scope, penetration, and
magnitude of social media reach has been tremendous
(Pedersen, 2014). Although the development of social
media is still unfolding, its popularity and acceptance
by athletes, coaches, managers, teams, leagues, fans,
events, and sport governing bodies is widespread
(Hutchins, 2014). In light of its growing complexity and
increasing omnipresence, social and behavioral scientists
are intrigued by the dynamics of the interrelationship
between sport and social media (Hutchins, 2014; Ped-
ersen, 2014). Though the scholarship is still relatively
recent (Billings & Hardin, 2014), scholars are examining
social media in various sport settings and gaining insights
into its manifestations, characteristics, usage trends, and
so on. Indeed, a range of research topics associated with
social media have been investigated in diverse elds of
sport management research (Pedersen, 2013), including
sport communication, sport events management, sport
marketing, sport law, and sport governance.
While published research is growing signicantly
(Pedersen, 2014), there is a lack of formal articulation
and an absence of empirical evidence on the current state
and historical evolution of the social media scholarship in
sport management research. Hence, this study attempted
to ll the gap by examining the body of knowledge (i.e.,
research areas, theories, and methods) and historical
trends (i.e., chronological changes in research focus/
interest) of the social media scholarship in sport man-
agement research. The following four research questions
guided this study: (i) what social media topic areas have
received attention in sport management research?; (ii)
which social media platforms have received the (most/
least) attention in sport management research?; (iii) what
theories have been used, advanced, and developed in
social media scholarship in sport management research?;
and (iv) what is the prevalence and the nature of research
methods employed in social media scholarship in sport
management research?
602 Abeza et al.
JSM Vol. 29, No. 6, 2015
In conducting a comprehensive critical self-exam-
ination of the current state and historical evolution of a
scholarship, a research community is able to document
and identify research advancements (Abeza, O’Reilly, &
Nadeau, 2014), gain insight into what the research com-
munity has, and has not, studied (Costa, 2005), and reveal
strengths and areas in need of improvements (Pitts, 2001).
Such self-reective studies have the benets of clarify-
ing assumptions (Chalip, 2006; Costa, 2005), informing
journal editors about increasing attention to areas with
little or no research coverage, and guiding scholars in
locating research (Abeza et al., 2014). In that way, these
studies contribute to shaping future directions for the
scholarship, thus playing a part in the advancement of
scholarly inquiry (Chalip, 2006; Costa, 2005).
Background and Overview
of the Literature
Social media takes many different forms, and popular
examples include social networking sites such as Face-
book, Twitter, Google+, and Tumblr; content-sharing sites
such as YouTube, Flickr, Pinterest, and Instagram; and
blogs. The term social media means various things to dif-
ferent people (McNary & Hardin, 2013). As Kaplan and
Haenlein (2010) explained, there is a limited understand-
ing of what the term precisely means; the term still has
no universally agreed-upon academic denition (Abeza,
O’Reilly, & Reid, 2013). Nevertheless, most denitions
can be encompassed under the denition provided by
Kaplan and Haenlein (2010): “A group of Internet-based
applications that build on the ideological and technologi-
cal foundations of Web 2.0, and that allow the creation
and exchange of User Generated Content” (p. 61).
The term Web 2.0 is also used interchangeably
with the term social media in most literature (Askool
& Nakata, 2011), although the two are not entirely the
same. The term Web 2.0 refers to the technologies used
to enable and facilitate online platforms on which col-
laborative and user-friendly social media communications
occur. The ve major types of Web 2.0 technologies are
blogs, social networks, content communities, forums and
bulletin boards, and content aggregators (Constantinides
& Fountain, 2008). Web 2.0 is considered a derivative
of the original Web (i.e., Internet websites, Web 1.0),
which largely carries a one-way message supplied by
publishers on a static page (Drury, 2008). Web 2.0 refers
to the second generation of Internet-based applications
(Miller & Lammas, 2010), reecting the fact that users
are not passive viewers anymore, and content is no longer
generated only by an individual publisher. Instead, users
engage in participatory and collaborative content genera-
tion (Kaplan & Haenlein, 2010). In Web 2.0, social media
users are all involved in sharing, linking, collaborating,
and producing online content using text, photo, audio, and
video (Mangold & Faulds, 2009). Yet, for many, the term
Web 2.0 is a catchall term for a few well-known sites such
as Facebook, YouTube, Flickr, and Twitter. For others
(e.g., Constantinides & Fountain, 2008), the denition
is broader and includes Web 2.0-enabled blogs, and for
a few others still (e.g., Kaplan & Haenlein, 2010, 2012),
it includes collaborative projects (e.g., Wikipedia) and
gaming applications (e.g., World of Warcraft).
A related term that requires clarication is new
media, a catchall phrase used for a range of applications
from the Internet and e-commerce to the Blogosphere,
video games, and virtual reality (Leonard, 2009). It is
commonly used in relation to “old” media forms (e.g.,
print newspapers and magazines), and includes stream-
ing audio and video, e-mail and chat rooms, DVD and
CD-ROM, and integration of digital data with the tele-
phone (e.g., mobile phone, Internet, digital cameras)
(Lievrouw, 2014). New media is broader than social
media, and social media is one segment of the new media.
In this work, social media is considered to be a part of the
social aspects of Web 2.0 applications including, but not
limited to, users’ participation, openness, conversation,
community, and connectedness.
Social Media Scholarship
in Sport Management Research
The eld of sport management captures a variety of
subdisciplines and is studied in a wide variety of con-
texts (Doherty, 2013; Pitts, 2001). The eld includes
subdisciplines such as sport marketing, nance, legal
aspects, governance, communication, organizational
behavior and theory, sport for development, tourism,
facility management, and event management (Andrew,
Pedersen, & McEvoy, 2011; Doherty, 2013; Pitts, 2001).
Social media is, by nature, a communication platform,
and the preponderance of studies on the topic have been
conducted within the subdisciplines of sport communica-
tion (e.g., Emmons & Butler, 2013; Sanderson, 2013) and
sport marketing (e.g., Walsh, Clavio, Lovell, & Blaszka,
2013; Williams & Chinn, 2010). However, the study of
the dynamic interrelationship between sport and social
media has a cross-disciplinary nature (Pedersen, 2013),
and is studied through the lens of and in the context of
the different subdisciplines of sport management, such
as sport law (e.g., Cornish & Larkin, 2014; Wendt &
Young, 2011), sport governance (e.g., Van Namen, 2011),
organizational management (e.g., Alonso & O’Shea,
2012b), sport, race and gender (e.g., Antunovic & Hardin,
2012; Cleland, 2013), and sport event management (e.g.,
McGillivray, 2014).
Therefore, taking into consideration the multidisci-
plinary nature of the eld of sport management (Costa,
2005; Doherty, 2013) and the dynamic interrelationship
between sport and social media (Hutchins, 2014; Peder-
sen, 2014), a conceptual framework (see Figure 1) was
constructed. The framework outlines the “big picture”
of the social media scholarship in sport management
research by connecting and compartmentalizing the inter-
relationships among the different segments, contexts, and
areas of sport management research. It is believed that the
Social Media Scholarship in Sport Management Research 603
JSM Vol. 29, No. 6, 2015
framework helps to chart the historical trends, navigate
the body of knowledge of social media scholarship, and
overall, helps to comprehend the scholarship in a more
simplied manner. As depicted in the framework, the
study of the dynamic interrelationship between sport
and social media has a cross-disciplinary nature where
the useowners (e.g., athletes, teams, league, journal-
ists) communicate content (i.e., text, audio, video, and
pictures) to achieve their individual objectives by con-
necting to audiences/social media users (e.g., fans and
individual users—friends and followers) on various Web
2.0 platforms (e.g., Facebook, Twitter, YouTube), and
vice versa. We use the term useowner to differentiate a
corporation that owns the social media platform (e.g.,
Twitter Inc.) from the owner of a social media site who
has control of its use (e.g., @KingJames, LeBron James’
Twitter account).
This interrelationship has an overarching societal,
cultural, economic, political, and technological impact
on today’s society and, in the case of our area of study,
the contemporary sport industry. Hence, the parts, reach,
scope, and landscape of the study of social media can
be visualized—and by extension, its scholarship can
be examined—through the lenses of its segments (i.e.,
useowners, content, prosumers), contexts (i.e., social,
political, economic, political, technological aspects), and
eld of studies (e.g., sport communication, sport market-
ing, sport events management, sport governance, sport
law). Guided by this conceptual framework, we sought
to produce empirical evidence on the trends and state of
the body of knowledge of the social media scholarship
in sport management research.
Method
Data Collection
A cross-disciplinary census review of the social media
academic literature published in sport management jour-
nals from 2008 (the earliest found) to June 2014 was con-
ducted. Five sport-related online search databases were
used, including Academic Search (Ebsco Publishing),
Google Scholar, Scopus (Elsevier), SportDiscus (SIRC),
and Web of Science (Thomson Reuters). The search for
journal articles was based on 12 keyword descriptors:
Figure 1 A guiding framework in examining the social media (SM) scholarship in sport management research.
604 Abeza et al.
JSM Vol. 29, No. 6, 2015
social media, Web 2.0, new media, online, internet,
social network sites, Facebook, Twitter, 140 characters,
Blog, YouTube, and message boards. The keywords were
identied through brainstorming and a concept map, and
the use of truncation variant words. Synonyms (e.g., new
media, digital media), plural/singular forms (e.g., social
network, social networks), spelling variations (e.g., blog,
Weblog), and acronyms (e.g., SM for “social media”)
were used. The databases were queried for the keywords
in the title, abstract and the keyword list. In addition,
a search was conducted on 30 select journals in sport
management as identied by Andrew et al. (2011). In
total, 123 social media articles were identied, of which
96 were empirical research papers (this count excludes
interviews) sourced from 29 journals. We also excluded
commentaries except for two landmark commentaries that
have inuenced the scholarship (based on the number of
citations they received in successive articles): Leonard
(2009) and Williams and Chinn (2010).
While other publications provide a great deal of
information (e.g., practitioner publications and reports,
textbooks and edited volumes, master’s and doctoral
dissertations, conference papers), they were not selected
for inclusion, as only peer-reviewed academic journals
were considered. Scholarly journals are believed to be the
prime locations where knowledge is constantly updated,
tested, and challenged (Mumby & Stohl, 1996), and col-
lectively stored and disseminated (Rooney, McKenna, &
Barker, 2011).
Data Analysis
Two researchers/coders independently carried out the
classication of the identied research streams, research
methods, platforms, and theories of the 96 empirical
research articles. A codebook and denitions were devel-
oped to help guide the process and a pilot undertaken.
Both an inductive approach (in coding the research
streams) and a deductive approach (in coding the plat-
forms, theories, and methods) were used.
Inductive Approach. The two coders conducted an
independent pilot coding on 18 randomly selected sample
articles, three from each of six author-selected topic areas
in social media and sport management, namely, crisis
communication, legal issues, tool of marketing, consumer
behavior, social issues, and journalism. The emergent
streams from the pilot were compared, and differences
were discussed until an agreement was reached and an
adjustment made. Next, the two coders independently
read through the full length of each of the 96 articles and
conducted the classication of the identied research
streams. In the coding process, the topics addressed in
the research streams are interrelated and some of the
articles, at times, address several topics, meaning that
they may fall into two or more of the research streams.
Given this and per Cornwell and Maignan (1998), the
two coders discussed their coding and the articles were
assigned to a stream based on their main emphasis or
principal contribution. Upon completion of the coding,
one coder identied 16 streams and the other one 11
streams, which were later discussed and agreed upon to
be grouped as streams and substreams (e.g., the stream
= dening constructs; substreams = dimensions of use,
constructs of acceptance, platforms attribute). The two
researchers’ agreement scores ranged from 87% to 91%
on the six research streams.
Deductive Approach. The coding sheet for the
platforms, theories, and methods was developed through
a deductive process by first identifying a working
denition for each item. For example, the codebook used
for the method section was developed by identifying the
commonly used denitions of qualitative, quantitative,
mixed methods and multimethods from the work of
Creswell (2014). Two independent coders conducted
a pilot test of the reliability of the coding sheet. An
intercoder reliability analysis using the kappa statistic
was performed (per Neuendorf, 2002) that determined
consistency among raters on each of platforms (κ =
.807), theories (κ =.846), and methods (κ = .943). These
scores indicate an acceptable level of intercoder reliability
(i.e., coefcients of .80 or greater (see Lombard, Snyder-
Duch, & Bracken, 2002)). The nal classications were
reviewed by two additional researchers/coders and
revised accordingly.
Results
Topic Areas Covered in Social Media
Scholarship in Sport Management
Research
The 96 articles gathered were grouped into one of six
emergent streams of research (see Figure 2), represent-
ing the topics most commonly addressed in the related
literature. Some of the streams are relatively developed
with a considerable body of knowledge, whereas others
consist of only a few studies. The streams include nature
of social media, dening constructs, social media sites
as tools, legal and ethical considerations, industry appli-
cations, and issues and impacts. They are based on the
ndings reported in these studies. Appendix Table 1
lists the 96 articles by research streams. An analysis of
the different contextual settings where the social media
articles are found reveals that papers were related to sport
organizations (30.2%), sport consumers (29.1%), athletes
(19.8%), and journalism/media (18.8%).
As Table 1 indicates, publication of research on
social media in sport management started in 2008 and
began to increase in 2010, continuing ever since. The pro-
portion of research work with respect to the understanding
of the nature of social media increased during the rst
four years of the scholarship and then started steadily
declining over the past two years, which is believed to
be a natural development in the life cycle of new and
emerging scholarships (Hardin, 2014).
Social Media Scholarship in Sport Management Research 605
JSM Vol. 29, No. 6, 2015
Research Streams
The Nature of Social Media. Given the relative
newness of research on social media, the majority of the
literature sought to gain an understanding of (i) the use
of social media, (ii) users and their characteristics, and
(iii) adoption of the platforms. As can be seen in Table
1, 11 of the 15 published works during the early age of
the scholarship—2008 to 2010—were conducted to gain
an understanding of the nature of social media. This
continued until June 2014, as this research stream accounts
for over one-third (37.5%) of the literature published.
Figure 2 — Summary of the research streams. Note. SM = social media.
Table 1 Distribution of Research Papers by Research Stream
Research
Stream 2008 2009 2010 2011 2012 2013 2014
a
Total
Nature of social
media
2 2 7 9 8 6 2 (36) 37.5%
Dening
constructs
1 1 4 3 4 (13) 13.5%
Social media as
a tool
1 4 6 9 3 (23) 24%
Legal and ethical
considerations
4 3 1 (8) 8.3%
Industry
applications
1 1 2 3 (7) 7.3%
Issues and
impacts
1 8 (9) 9.4%
Total (3) 3.1% (3) 3.1% (9) 9.4% (18) 18.8% (19) 19.8% (31) 32.3% (13) 13.5% (96) 100%
a
Publications in 2014 are only to June 2014 (i.e., 6 months).
606 Abeza et al.
JSM Vol. 29, No. 6, 2015
Understanding the Use of Social Media. A number
of articles explored and described social media as a
new communication medium by focusing on a specic
user group or context. For example, Hambrick and
Mahoney (2011) examined how professional athletes
used Twitter for promotional purposes. Similar studies
sought to understand how social media has been used
by fans (Sanderson, 2013), student-athletes (Browning
& Sanderson, 2012), professional athletes (Hambrick,
Frederick, & Sanderson, 2013; Hambrick, Simmons,
Greenhalgh, & Greenwell, 2010), and sport organizations
(Zimmerman, Clavio, & Lim, 2011), as well as in areas
such as marketing (Pegoraro & Jinnah, 2012), public
relations (Stoldt & Vermillion, 2013), and journalism
(Sheffer & Schultz, 2010).
Characteristics of Social Media Users. These papers
seek to gain an understanding of social media and
examine user characteristics. For example, one group of
scholars (Clavio, 2008; Clavio, Burch, & Frederick, 2012;
Clavio & Kian, 2010) investigated the characteristics of
users and usage proles of social media, examining user
characteristics, their demography, and their usage prole.
Adoption of Social Media Platforms. These researchers
investigate the preference for and acceptance of social
media platforms. O’Shea and Alonso (2011) examined
the ways in which three professional clubs are leveraging
traditional marketing approaches while adapting to social
media to an increasingly media-driven consumer base.
Similarly, Kassing and Sanderson (2010) examined how
fans experienced a major sporting event through the
content shared by cyclists using Twitter.
Defining Constructs. In this research stream, the
underlying constructs of users’ motivation, behavior,
attitude, and gratication in using social media were
investigated. In addition, useowners’ objectives in
adopting social media were examined. Most articles
in this stream addressed (i) the reasons why users are
using social media, and (ii) the constructs of acceptance
of social media. As can be seen in Table 1, this stream
of research is ranked third (13.5%) in terms of research
attention.
Dimensions of Use. Researchers attempted to identify
the reasons why (e.g., the motivations, behavior, and
attitude) audiences are using social media platforms.
For example, Frederick, Clavio, Burch, and Zimmerman
(2012) examined fans’ uses and gratification on a
mixed-martial-arts blog, and found six dimensions
of gratication: evaluation, community, information
gathering, knowledge demonstration, argumentation,
and diversion. Similarly, Clavio and Walsh (2013)
examined college sport fans’ dimensions of gratication
for social media use. In a related study, Stavros, Meng,
Westberg, and Farrelly (2014) explored the motivations
underpinning the desire of fans to communicate on the
Facebook sites of several NBA teams. Other researchers
have studied the dimensions of use in a different context.
For example, McCarthy (2014) studied the motivations,
behaviors, and media attitudes of fan sports bloggers.
Constructs of Acceptance and Platforms
Attributes.
Several researchers have attempted
to investigate the constructs for the acceptance of
social media. For example, Mahan (2011) examined
predictors of consumer preferences for social media
and Pronschinske, Groza, and Walker (2012) examined
the Facebook attributes that attract the most fans based
on four professional teams. Witkemper, Lim, and
Waldburger (2012) examined the motives and constraints
that influence individuals’ adoption of Twitter as a
medium to follow their favorite athletes.
Social Media as a Tool. Under this research stream,
the use and services of social media as communication
platforms and marketing tools were examined. This
stream accounts for the second largest portion (24%) of
the social media scholarship (see Table 1).
Social Media as a Communication Tool. Various
sociocultural discussions are communicated through
social media, and these have been examined by a
number of studies. Topics explored include fandom and
advocacy for women’s sports in blog posts (Antunovic &
Hardin, 2012), crisis communication on Twitter (Brown
& Billings, 2013; Brown, Brown, & Billings, 2013),
portrayal of women in sports blogs (Clavio & Eagleman,
2011), fans’ views on racism on message boards (Cleland,
2013), professional athletes’ self-presentation on Twitter
(Lebel & Danylchuk, 2012), framing self on Twitter
(Coche, 2014), and fans’ creation and maintenance of
social capital on Facebook (Phua, 2012).
Social Media as a Marketing Tool. Other studies
examined sport organizations’ use of social media as
a marketing communication tool. Examples include
Eagleman’s (2013) investigation of national sport
organizations’ use of social media as a marketing
communication tool, and Dittmore, McCarthy, McEvoy,
and Clavio’s (2013) examination of intercollegiate
athletic administrators’ perceived utility of Twitter as a
form of marketing or communication. Other examples
include Hambrick and Kang’s (2014) exploration of
professional sports organizations’ use of Pinterest as a
communications and relationship-marketing tool, and
Wallace, Wilson, and Miloch’s (2011) examination
of college sport organizations’ use of Facebook for
marketing and communications.
Legal and Ethical Considerations. Under the fourth-
largest research stream, various legal and ethical issues
associated with social media use and its implications
were investigated. Although only a few articles addressed
legal and ethical issues, two distinct categories can be
identied: (i) legal considerations in using social media,
and (ii) student-athletes and social media use policies.
This research stream covers 8.3% of the published work.
Social Media Scholarship in Sport Management Research 607
JSM Vol. 29, No. 6, 2015
Legal Considerations in Using Social Media. Studies
that discussed the legal issues related to social media
covered topics such as potential legal issues related to
social media use (Cornish & Larkin, 2014; Wendt &
Young, 2011), and athletes’ product endorsement on
social media (Brison, Baker, & Byon, 2013; McKelvey
& Masteralexis, 2013).
Student-Athletes and Social Media Use Policies.
Under this category, researchers (Sanderson, 2011; Sand-
erson & Browning, 2013) examined the messages that
student-athletes receive from athletic department ofcials
and coaches about social media use. Van Namen (2011)
explored the need for coaches, athletic departments, and
university administrators to monitor and regulate student-
athletes’ use of social media without facing potential legal
exposure for infringement of constitutionally protected
free speech rights. The studies provided insight into social
media use policy in college sport.
Industry Applications. Although many sport
organizations have embraced social media platforms
with the aim of delivering their products and services
competitively, a small proportion of the published
research (7.3%), as noted in Table 1, is about the industry
application of social media. These seven studies are
grouped into one subcategory: social media marketing
strategy.
Social Media Marketing Strategy. The strategic
use of social media and its integration into an overall
communication strategy have been addressed by authors
such as Armstrong, Delia, and Giardina (2014), who
analyzed the social media marketing strategies of the
Los Angeles Kings; Boehmer and Lacy (2014), who
investigated the implementation of an interactive social-
customer relationship-management strategy on Facebook;
and Bayne and Cianfrone (2013), who examined social
media marketing effectiveness on college students in a
campus recreation setting. Further, Miranda, Chamorro,
Rubio, and Rodriguez (2014) employed the Facebook
Assessment Index to compare, assess, and rank Facebook
sites of top European and North American professional
teams.
Issues and Impacts. Articles under this research
stream considered the impacts and issues related to social
media use and their implications, such as impact on sport
brand and journalism practice, and the opportunities,
constraints, and challenges of social media as a
communication and marketing tool. This research stream
accounts for 9.4% of the scholarship and the studies are
classied as (i) impact of social media use on journalism
practice and (ii) issues and impacts of social media in
marketing practices.
Impact of Social Media on Journalism Practice. In
the topic area of journalism practice, Gibbs and Haynes
(2013) attempted to explain how the practices and norms
related to the role of sport media relations are changing as
a result of Twitter. McEnnis (2013) examined what citizen
journalism on Twitter has meant for the professional
identity and working practices of British sport journalists,
and Reed and Hansen (2013) examined how American
sport journalists’ (particularly those who cover elite
sports) perception of gatekeeping has changed since they
began using social media for news-gathering purposes.
Schultz and Sheffer (2010) assessed what changes Twitter
has caused in journalism news work.
Issues and Impacts of Social Media in Marketing
Practices.
A small number of researchers addressed
the impact and issues of social media on the practice
of marketing. For example, Walsh, Clavio, Lovell, and
Blaszka (2013) studied the impact of social media use on
sport brands, and O’Shea and Alonso (2013) examined
how an Australian professional sports organization
addressed the potentials and constraints of social media
usage, while Abeza et al. (2013) explored the use,
opportunities, and challenges of social media in meeting
relationship marketing goals.
Contribution of Research Papers
by Academic Journals
Of the 29 journals that featured the 96 articles, only 2
journals (International Journal of Sport Communication
[IJSC] and Sociology of Sport Journal) published social
media research papers in sport management in the period
2008–2010. In 2011, 9 other journals joined them, and,
since, both the number of journals publishing social
media articles and the number of published social media
research papers have increased. A signicant increase in
the number of journals from 2010 (10 journals) to 2013
(18 journals) was observed. Table 2 reveals that 80.2%
of the articles are published by 10 of the 29 journals,
led by IJSC (40.6%). Further, Communication & Sport
published 8 social media articles in just over a year of its
existence. The other three journals that published social
media articles relatively frequently include International
Journal of Sport Management and Marketing (7), Journal
of Sports Media (6), and Sport Marketing Quarterly (5).
As reported in Table 2, social media publication in
sport management research has a short history that is
characterized by a rapidly increasing body of literature.
Platforms That Received the (Most/Least)
Attention in the Research Community
The social media platform that received the most atten-
tion is Twitter (41.7%), followed by Facebook (12.5%),
and Blogs (10.4%). These three platforms take the main
share (64.6%) of the social media sport management
research. Studies that covered a combination of Facebook
and Twitter, a combination of other platforms, or social
media in general account for 28.12% of the published
works. Other platforms that received scholars’ attention
include message boards (3 articles), YouTube (2 articles),
608 Abeza et al.
JSM Vol. 29, No. 6, 2015
Table 2 Distribution of Research Papers by Journal and Period
No. Journal 2008 2009 2010 2011 2012 2013 2014
a
Total
1 Intl. Journal of Sport Communication 3 1 9 4 10 7 5 39
2 Communication & Sport 4 4 8
3 Intl. Journal of Sport Management and Marketing 5 2 7
4 Journal of Sports Media 1 2 2 1 6
5 Sport Marketing Quarterly 2 2 1 5
6 Sociology of Sport Journal 2 1 3
7 Sport Management Review 2 1 3
8 Journal of Sport Administration & Supervision 1 1 2
9 Mississippi Sports Law Review 2 2
10 Journal of Issues in Intercollegiate Athletics 1 1 2
11 Journal of Legal Aspects of Sport 1 1
12 Journal of Sport Management 1 1
13 Computers in Human Behavior 1 1
14 Information, Communication & Society 1 1
15 Intl. Journal of Integrated Marketing Communications 1 1
16 Intl. Journal of Motorsport Management 1 1
17 Intl. Journal of Networking and Virtual Organizations 1 1
18 Intl. Journal of Sports Science and Coaching 1 1
19 Intl. Journal of Web Based Communities 1 1
20 Journal of Brand Strategy 1 1
21 Journal of Sport & Social Issues 1 1
22 Journalism Practice 1 1
23 Leisure Studies 1 1
24 Mass Communication and Society 1 1
25 Public Relations Review 1 1
26 Qualitative Research Reports in Communication 1 1
27 Recreational Sports Journal 1 1
28 Soccer & Society 1 1
29 Virginia Sports and Entertainment Law Journal 1 1
Total 3 3 9 18 19 31 13 96
a
Publications in 2014 are only to June 2014 (i.e., 6 months).
Pinterest (1 article), and Weibo (1 article). When an article
looked at two or more platforms together, such as Twit-
ter, Facebook, and LinkedIn (see Cornish and Larkin,
2014), the article is classied under the umbrella name
social media.
Theories in Social Media Scholarship
in Sport Management Research
The article review identied 26 theories and theoretical
models used or referenced in 52 of the 96 articles origi-
nating from a variety of disciplines such as sociology,
marketing, psychology, information technology, mass
media, and crisis communication (see Appendix Table
2). Uses and gratications, and relationship marketing
theories are the most cited theories (being used in 10
and 7 studies, respectively). Parasocial interaction and
agenda setting have been used in four studies, while
media framing, social identity theories, and image/reputa-
tion repair typology were each used in three studies. The
theory of self-presentation, the technology acceptance
model, and gatekeeping theory have each been used in
two social media studies each. The remaining 15 theories
and models have each been used once.
Social Media Scholarship in Sport Management Research 609
JSM Vol. 29, No. 6, 2015
The 52 studies that made reference to the 26 identi-
ed theories were classied into Bryant and Miron’s
(2004) 11 groupings of theory utilization: (i) mere refer-
ences, (ii) using as theoretical framework, (iii) compari-
son of two or more theories, (iv) critique of a theory or of
theories, (v) proposing a theory, (vi) supporting a theory,
(vii) testing a new theory, (viii) integrating theories, (ix)
expanding a theory, (x) new application, and (xi) praising
of a theory or of theories. The classication is presented
as Table 3, which reports that 69.8% used their theories
as a framework for the study and 9.4% of the articles
expanded the theories or models referenced. Other uses
of theory reported are mere references to the theories
(7.5%), supporting theories (3.8%), and new application
of theories into social media studies (3.8%). Integration of
theories also accounted for 3.8% (e.g., Frederick, Lim, et
al. [2012] integrated/combined uses and gratication and
parasocial interaction in their study), and discussion of a
theory/praising (e.g., Williams and Chinn [2010]: rela-
tionship marketing) accounted for 1.9%. Those aspects
typically considered to be the primary components of
theory construction (Bryant & Miron, 2004), such as
proposing a theory, testing a new theory, critique of a
theory, and comparison of theories are absent in social
media scholarship in sport management research.
Research Methods in Social Media
Scholarship in Sport Management
Research
Research and Data-Gathering Methods. The
proportion of the research methodologies/methods used
in social media articles in sport management research
is presented in Table 4. The table reports that the
quantitative method (51.1%) is the most used method
in social media scholarship, followed by qualitative
methods (43.2%). Over the 6.5-year period analyzed, the
use of qualitative methods is increasing. The use of both
mixed- and multimethod research approaches is limited.
Table 5 reports on the data collection methods in
social media sport management research, where content
analyses (50.5%) and surveys (29.7%) far exceeded any
other method of data gathering during the 6.5-year period
analyzed. Interviews ranked third (16.5%) followed by
experimental methods (2.2%). Field notes were used in
only one study.
Discussion and Directions
for Future Research
Social media has attracted signicant sport management
research interest since 2008, a trend consistent with the
popularity of social media platforms in the sport industry.
While the reviewed articles provided insights into the
features, use, benets, opportunities, impacts, and chal-
lenges of social media, this study nds that there are broad
areas in need of attention. The results can be summarized
as follows: (a) the social media literature provides a solid
foundation for an understanding of social media in sport
management research, (b) a signicant concentration of
the sport management research is on the topic of two
social media platforms—Twitter and Facebook, (c) the
Table 3 References to Theories
Utilization of Theories No. of Studies
Theoretical framework for the study (36) 69.8%
Expanding a theory (5) 9.4%
Mere references (4) 7.5%
Supporting a theory (2) 3.8%
New application (2) 3.8%
Integrating/combining theories (2) 3.8%
Praising/detail discussion (1) 1.9%
Proposing a theory
Testing a new theory
Comparison of two or more theories
Critique of a theory or of theories
(52) 100%
Table 4 Research Methods in Social Media Scholarship
Methodology 2008 2009 2010 2011 2012 2013 2014
a
Total
Quantitative 2 4 9 11 12 7 (45) 51.1%
Qualitative 1 2 3 5 9 15 3 (38) 43.2%
Multimethod 1 2 (3) 3.4%
Mixed Method 1 1 (2) 2.3%
Total 3 2 8 14 20 30 11 88
b
a
Publications in 2014 are only to June 2014 (i.e., 6 months).
b
The total number is less than the 96 articles reviewed because some articles in elds like law and sociology
publish more of analytical/descriptive papers and did not employ a specic traditional research method.
610 Abeza et al.
JSM Vol. 29, No. 6, 2015
utilization of theories is still in the early stages, (d) there
is a limited scope and range in the research methods
adopted and data collection instruments employed, and
(e) there is a lack of a framework that provides a sum-
mary of the current literature and provides direction for
future research.
In summary, the relative newness of the social media
scholarship in sport management is observed in the trends
of emerging research streams, in the application of refer-
enced theories, and in the scope of the research methods
employed. This “state” is in line with the logical steps in
the life cycle of an emerging area of scholarship (Hardin,
2014). Importantly, this stage of the scholarship and its
associated developmental reality should not be seen as
disadvantages. In fact, to the contrary, once the research
community becomes aware of the state of the scholar-
ship and is provided with a framework, it will be in a
position to take the next step(s) toward developing more
sophisticated research questions, covering broader topics,
advancing the utilization of theories, and expanding the
research methods employed. Specically, the literature
produced to date provides the starting point toward the
continued development of the eld (see Hardin, 2014),
and provides the future research directions. Further, the
reported lack of social media research among scholars
in key areas of sport management—such as nance,
governance, organizational behavior, development, tour-
ism, facility management, and event management—is a
deterrent to the growth of research in the area. This must
be addressed in sport management doctoral programs in
these areas, with students being provided with the tools
necessary to conduct social media research in nance,
event management and the other identied areas.
Results support that the overall impact and sig-
nicance of social media in the contemporary sport
industry has remained unexplored in a number of the
subdisciplines of sport management. In particular, the
focus has been on sport marketing and sport commu-
nications. Intuitively, this is expected given the roots of
social media as a communication form that marketers
can easily incorporate into their activities. Thus, for the
eld to move forward, the onus falls to the marketing and
communications scholars to build theory, expand empiri-
cal analyses, and provide strong frameworks for the sport
management scholars in the other subdisciplines. Since
social media is, by nature, a communication platform,
the focus on sport marketing and communication to date
makes sense. However, the study of the dynamic inter-
relationship between sport and social media has a cross-
disciplinary nature (Pedersen, 2013) and with the body
of literature to date, attention to the other subdisciplines
of sport management is needed. As can be seen from the
emergent research streams, the studies produced to date in
three of the subelds of sport management have already
laid substantial foundation for future advancements.
These include sport marketing, sport communication
and sport law. In sport law, for instance, various legal
issues that arise from uses and misuses of social media
have been explored in the work of Brison et al. (2013),
McKelvey and Masteralexis, (2013), Cornish and Larkin
(2014), Van Namen (2011), Wendt and Young (2011), and
Sanderson (2011).
In the topic area of crisis communication, the works
of Sanderson (2013), Hambrick et al. (2013), Brown
et al. (2013), and Brown and Billings (2013) serve as
groundwork for future studies. In the three subdisciplines
themselves, however, a number of research opportunities
await research attention. In sport marketing, for example,
there exists limited research on the impact, role, and
signicance of social media as a platform for advertis-
ing, sales, direct marketing, sponsorship, branding, and
ambush marketing. In sponsorship, for instance, social
media has a natural appeal as an activation tool for both
the sponsor and the sponsee. Resulting from its instant
global reach, ease of networking, and ease of collabora-
tion, social media has become a powerful marketing tool
Table 5 Proportions of Data-Gathering Methods
Data Gathering Method 2008 2009 2010 2011 2012 2013 2014
a
Total
Content Analysis
b
1 2 5 7 9 14 8
c
(46) 50.5%
Survey/Questionnaire 2 2 4 9 7 3
c
(27) 29.7%
Interview 3 3 8 1
c
(15) 16.5%
Experimental 1 1 (2) 2.2%
Observation/Field Notes 1 (1) 1.1%
Total 3 2 8 14 21
b
30 13
c
91
c
a
Publications in 2014 are only until June 2014 (i.e., 6 months).
b
Content analysis: quantitative content analysis = 18; qualitative content analysis = 25 (content analysis = 13, thematic analysis = 5, textual analysis
= 3, discourse analysis = 2, social network analysis = 2). Note. Whereas content analysis is an analytical approach in research methods, here it is
used to refer to a secondary source data that was gathered from social media sites and analyzed to produce themes or quantitative data. Content is
also considered to include text, photo, and video. Therefore, for the purpose of this work, analytical approaches such as textual analysis, thematic
analysis, and discourse analysis are grouped under content analysis.
c
It should have been reported as 88. However, as the summary in Table 4 indicates, one mixed method study (i.e., Gibbs, O’Reilly, & Brunette, 2014)
used three methods (interviews, content analysis, and survey).
Social Media Scholarship in Sport Management Research 611
JSM Vol. 29, No. 6, 2015
(Kotler, 2011), particularly for those seeking to market in
multiple countries. Therefore, investigating how sponsors
and sponsees are reacting to the ever-changing nature
of sporting landscapes resulting from social media will
inform both scholars and practitioners.
In the very early days of the social media scholarship,
Leonard (2009) argued that there was a need:
. . . to react to the ever changing nature of sporting
landscapes resulting from innovation and technologi-
cal changes, not simply categorizing metamorpho-
sis as indicative of the new media era of sport but
reecting on the impact and signicance of these
transformations. (p. 12)
This recommendation is still very relevant today, and
research needs to keep pace with these changes. Indeed,
as opposed to the current approach that considers all audi-
ences/users of social media as identical, future research
should progress to identify, differentiate, and take into
account differences in the behavior of social media users
and their level of involvement. Today’s social media users
dedicate substantial time to producing and consuming
multimedia content, and are found to be the foremost
players in all categories of Web 2.0 applications. This is
why the terms prosumer and user-generated content are
often used to underline the fact that today’s users are not
only consumers, but also the prime content contributors.
These users exhibit different levels of commitment and
participation on social media platforms, ranging from
passive visitor to committed contributor.
Various researchers (e.g., Harridge-March &
Quinton, 2009; Kozinets, 2006; Riegner, 2007) have
attempted to develop different classications of social
media users. For example, Harridge-March and Quinton
(2009) proposed that social media users could be clas-
sied by their level of involvement, namely as lurkers,
newbies/tourists, minglers, and evangelists/devotees. In
a similar manner, audiences (i.e., friends on Facebook
or followers on Twitter) of a social media site are not
all necessarily supporters of the useowners/social media
site owners, and not all ofine fans of a useowner are
necessarily users of social media (Abeza et al., 2013).
For these reasons, future studies need to factor in the
differences in behavior exhibited by social media users
and differences by that users’ level of involvement should
be accounted for. In particular, inuential users should
be given specic research attention. Related exemplary
studies in this area include Clavio and Walsh (2013) and
Stavros et al. (2014).
With respect to the results reported on platforms,
while it can be justied why the majority of research
focused on Twitter and Facebook, research on the other
platforms will serve to inform both scholars and practi-
tioners. In this regard, the studies on YouTube (Mahoney,
Hambrick, Svensson, & Zimmerman, 2013; Zimmer-
man et al. 2011), Pinterest (Hambrick & Kang, 2014)
and Weibo (Liu & Berkowitz, 2013) are exemplary. A
number of researchers (Frederick, Lim, Clavio, Pedersen,
& Burch, 2014; Pronschinske et al., 2012; Walsh et al.,
2013; Witkemper et al., 2012) recommend research be
conducted across multiple platforms.
Concerning theories, the majority of research (75%)
use theories specically as a tool to frame their studies.
Although theory development helps a scholarship build
its identity and increase its self-reliance (Abeza et al.,
2014), there is a dearth in studies that propose a theory,
test a new theory, critique a theory, or compare different
theories. This requires research attention as very few
studies were found that support existing theories, apply
theories from other areas of study in social media setting,
and integrate different theories. Although proposing,
testing, critiquing and comparing theories is not common
in an emerging area of scholarship, results suggest that
this is now a challenge for the social media research
community, as the scholarship continues to advance.
Hence, sport management researchers in social media are
encouraged to compare, critique, integrate theories, test
and apply theories from other elds into the context of
social media, and begin developing new theories. More-
over, as Slack (1998) stated, scholars not only need to
use existing theories to study sport but also to use sport
to test and extend existing theories.
And nally, with regards to research methods, a
small range of data collection methods are being used in
social media scholarship in sport management research:
content analysis, online surveys, and interviews. Results
on research methods employed in social media sport
management studies differ from what are known to be
the most common sources of data collection in qualitative
research (i.e., document and archival analysis, direct and
participant observation, focus groups, interviews) (Yin,
2014) and in quantitative research (i.e., experiments,
questionnaires) (Creswell, 2014). Thus, a more diverse
set of methods is encouraged.
While a thematic analysis of various sports stake-
holders’ social media use has value, and while such
studies have importance and, therefore, should be pursued
(Sanderson, 2014), the size of samples and number of
cases are areas that should be improved. For instance,
some of the interviews were based on single cases, when
multiple cases could have been employed. In fact, con-
trary to much of the existing literature, a single case or
unit of analysis should only be justiable when the case
(e.g., an athlete, an organization, a coach, an incident)
is either a representative, critical, extreme or unique, or
when it is typical or revelatory (Yin, 2014). This recom-
mendation is supported by previous authors (e.g., Alonso
& O’Shea, 2012b, Hambrick & Sanderson, 2013) who
contend that researchers would be well served to consider
multiple cases in their sampling.
In addition, as Pedersen (2014) stated, scholars should
address some of the research questions using relatively
challenging methods such as ethnography and experi-
mental study (when appropriate). It is also pertinent (and
recommended) for scholars to consider longitudinal stud-
ies. In this regard, after noting the shifting nature of social
media, a number of authors (see Hambrick & Mahoney,
612 Abeza et al.
JSM Vol. 29, No. 6, 2015
2011; Mahan, Seo, Jordan, & Funk, 2014; Pronschinske
et al. 2012; Sanderson & Hambrick, 2012; Stoldt & Ver-
million, 2013) have suggested that a longitudinal study be
conducted over time to gain a deeper understanding as to
whether various stakeholders in the sport industry (e.g.,
celebrity athletes, sport organizations, sport consumers,
journalists) can develop increasingly sophisticated ways to
use social media. Further, it is worth noting that advances
in data mining and analytics software programs have
made possible the ability to sort, retrieve, collect, compile
and analyze a vast volume of data in a shorter period of
time. There are number of software programs that can be
used for data gathering (e.g., NCapture, DiscoverText,
SiteSucker, Netlytic) and as content analysis tools (e.g.,
Leximancer, NVivo). These software programs enable
scholars to address the problem of analyzing a small
number of content, and to enhance intercoder reliability
(Sotiriadou, Brouwers, & Le, 2014). Critical reviews
similar to the one at hand are encouraged on a periodical
basis, and it is hoped that future work will address and
take into consideration those recommendations.
Finally, although this research set out to provide a
thorough, critical review of the available literature on
social media in sport management research, the study
has limitations. First, the topics addressed in the research
are limited to those discussed in the literature and do not
necessarily include all facets of social media that warrant
scholarly inquiry. For example, as noted, sponsorship acti-
vation is an area where research on social media would be
of high value. Second, only literature accessible through
electronic databases is considered, where some articles
may have been missed in the keyword search.
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Appendix
Appendix Table 1 Overview and Distribution of the Social Media Literature by Research Streams
Category Corresponding Studies
The Nature of Social Media Blaszka, Burch, Frederick, Clavio, & Walsh (2012); Browning & Sanderson
(2012); Clavio (2008); Clavio (2011); Clavio & Kian (2010); Clavio, Burch, &
Frederick (2012); Clavio, Walsh & Vooris (2013); Deprez, Mechant, & Hoebeke,
(2013); Frederick, Lim, Clavio, & Walsh (2012); Frederick, Lim, Clavio, Ped-
ersen, & Burch (2014); Hambrick, Frederick, & Sanderson (2013); Hambrick
& Mahoney (2011); Hambrick, Simmons, Greenhalgh, & Greenwell, (2010);
Havard, Eddy, Reams, Stewart, & Ahmad (2012); Hull (2014); Hutchins (2011);
Kassing & Sanderson (2010); Kian, Burden, Shaw (2011); Leonard (2009); Liu,
Z., & Berkowitz, D. (2013); O’Shea & Alonso (2011); Pegoraro (2010); Pego-
raro & Jinnah (2012); Reed (2011); Ruihley & Hardin (2011); Sanderson (2008);
Sanderson (2009); Sanderson (2010); Sanderson (2013); Sanderson & Hambrick
(2012); Sheffer & Schultz (2010); Smith & Smith (2012); Stoldt & Vermillion,
(2013); Williams & Chinn (2010); Zimmerman, Clavio, & Lim (2011)
Understanding use of social media
Characteristics of social media users
Adoption of social media
Dening Constructs Clavio & Walsh (2013); Cunningham & Bright (2012); Frederick, Clavio, Burch,
& Zimmerman (2012); Gibbs, O’Reilly & Brunette (2014); Hull & Lewis (2014);
Kwak, Kim, & Zimmerman (2010); Mahan (2011); Mahan, Seo, Jordan, & Funk
(2014); McCarthy, B. (2014); Pronschinske, Groza, & Walker (2012); Stavros,
Meng, Westberg, & Farrelly (2013); Wang (2013); Witkemper, Lim, & Waldburger
(2012)
Dimensions of use
Constructs of acceptance
Platforms attribute
Tools/Platform/Services, social media as Alonso & O’Shea (2012a); Antunovic & Hardin (2012); Brown & Billings (2013);
Brown, Brown, & Billings (2013); Burch, Frederick, Zimmerman, & Clavio
(2011); Clavio & Eagleman (2011); Cleland (2013); Coche (2014); Dart (2009);
Dittmore, McCarthy, McEvoy, & Clavio (2013); Eagleman (2013); Frederick,
Burch, & Blaszka (2013); Hambrick (2012); Hambrick & Kang (2014); Hambrick
& Sanderson (2013); Hopkins (2013); Lebel & Danylchuk (2012); Mahoney,
Hambrick, Svensson, & Zimmerman (2013); McGillivray (2014); Norman (2012);
Phua (2012); Wallace, Wilson & Miloch (2011); Waters, Burke, Jackson, &
Buning (2011)
Marketing communication tool
Communication tool for fans
Legal and Ethical Considerations Brison, Baker & Byon (2013); Cornish & Larkin (2014); McKelvey & Mas-
teralexis (2011); McKelvey & Masteralexis, (2013); Sanderson (2011); Sanderson
& Browning, (2013); Van Namen (2011); Wendt & Young (2011)
Legal issues in using social media
Social media policies in student-athletes use
Industry Applications Alonso & O’Shea (2012b); Armstrong, Delia, & Giardina (2014); Bayne & Cian-
frone (2013); Boehmer & Lacy (2014); Dittmore, Stoldt, & Greenwell (2008);
Miranda, Chamorro, Rubio, & Rodriguez (2014); Price, Farrington, & Hall (2013)
Social media marketing strategy
Issues and Impacts Abeza, O’Reilly, & Reid (2013); Emmons & Butler (2013); Gibbs & Haynes
(2013); McEnnis (2013); O’Shea & Alonso (2013); Reed (2013); Reed & Hansen
(2013); Schultz & Sheffer (2010); Walsh, Clavio, Lovell, & Blaszka (2013)
Impact of social media on journalism practice
Impact of social media on marketing practice
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Appendix Table 2 Theories and Theoretical Frameworks and Models Used in Social Media Scholarship in Sport Management Research
No. Theories and Models Number of Studies Examples of Studies in Which the Theories Applied
1. Uses and gratications 10 Clavio & Kian (2010)
2. Relationship-marketing theory/approach 7 Abeza, O’Reilly, & Reid (2013)
3. Parasocial interaction 4 Sanderson (2008); Kassing & Sanderson (2010)
4. Agenda setting 4 Burch, Frederick, Zimmerman, & Clavio (2011)
5. Image/reputation repair typology (Benoit & Coombs) 3 Brown, Brown, & Billings (2013)
6. Media framing theory 3 Sanderson (2010)
7. Social identity theory 3 Smith & Smith (2012)
8. Technology acceptance model (TAM) 2 Eagleman (2013); Mahan (2011)
9. Self-presentation 2 Lebel & Danylchuk (2012); Hull (2014)
10. Gatekeeping theory 2 Reed & Hansen (2013)
11. Psychological continuum model (PCM) 1 Mahoney, Hambrick, Svensson, & Zimmerman (2013)
12. Integrative model of behavioral prediction and attitude functions 1 Wang (2013)
13. One-way and two-way models of communication 1 Dittmore, Stoldt, & Greenwell (2008)
14. Technological determinism 1 Schultz & Sheffer (2010)
15. Stewardship 1 Waters, Burke, Jackson, & Buning (2011)
16. Communication privacy management theory 1 Sanderson (2011)
17. Feminist theory 1 Antunovic & Hardin (2012)
18. Dialogical self theory 1 Browning & Sanderson (2012)
19. Systems theory 1 Clavio, Burch, & Frederick (2012)
20. Theory of planned behavior 1 Clavio (2011)
21. Broom roles typology 1 Stoldt & Vermillion, (2013)
22. Homophily 1 Hull & Lewis (2014)
23. Technological determinism 1 Schultz & Sheffer (2010)
24. Press-agentry-publicity model of public relations 1 Gibbs & Haynes (2013)
25. Cognitive dissonance theory 1 Kwak, Kim, & Zimmerman (2010)
26. Elaboration likelihood model (ELM) 1 Kwak, Kim, & Zimmerman (2010)
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