Literature DB >> 29387147

Global trends in research related to social media in psychology: mapping and bibliometric analysis.

Sa'ed H Zyoud1,2, Waleed M Sweileh3, Rahmat Awang4, Samah W Al-Jabi2.   

Abstract

BACKGROUND: Social media, defined as interactive Web applications, have been on the rise globally, particularly among adults. The objective of this study was to investigate the trend of the literature related to the most used social network worldwide (i.e. Facebook, Twitter, LinkedIn, Snapchat, and Instagram) in the field of psychology. Specifically, this study will assess the growth in publications, citation analysis, international collaboration, author productivity, emerging topics and the mapping of frequent terms in publications pertaining to social media in the field of psychology.
METHODS: Publications related to social media in the field of psychology published between 2004 and 2014 were obtained from the Web of Science. The records extracted were analysed for bibliometric characteristics such as the growth in publications, citation analysis, international collaboration, emerging topics and the mapping of frequent terms in publications pertaining to social media in the field of psychology. VOSviewer v.1.6.5 was used to construct scientific maps.
RESULTS: Overall, 959 publications were retrieved during the period between 2004 and 2015. The number of research publications in social media in the field of psychology showed a steady upward growth. Publications from the USA accounted for 57.14% of the total publications and the highest h-index (48).The most common document type was research articles (873; 91.03%). Over 99.06% of the publications were published in English. Computers in Human Behavior was the most prolific journal. The University of Wisconsin-Madison ranked first in terms of the total publications (n = 39). A visualisation analysis showed that personality psychology, experimental psychology, psychological risk factors, and developmental psychology were continual concerns of the research.
CONCLUSIONS: This is the first study reporting the global trends in the research related to social media in the psychology field. Based on the raw data from the Web of Science, publication characteristics such as quality and quantity were assessed using bibliometric techniques over 12 years. The USA and its institutions play a dominant role in this topic. The most preferred topics related to social media in psychology are personality psychology, experimental psychology, psychological risk factors, and developmental psychology.

Entities:  

Keywords:  Bibliometric; Facebook; Instagram; Linkedin; Psychology; Snapchat; Social media; Twitter

Year:  2018        PMID: 29387147      PMCID: PMC5775539          DOI: 10.1186/s13033-018-0182-6

Source DB:  PubMed          Journal:  Int J Ment Health Syst        ISSN: 1752-4458


Background

Social media, defined as interactive Web applications [1], have been on the rise globally, particularly among adults [2, 3]. Overall, Facebook, Twitter, LinkedIn, Snapchat, and Instagram were the most used social network worldwide [4, 5]. Hundreds of publications have discussed the benefits and harm stemming from social media in different age groups of both genders [6]. Of particular interest is the impact of social media on the psychology and self-image of users. A recently published report indicated that social media can be used to forecast and prevent suicide attempts at the national level [7]. Another recent report indicated that social media, particularly Facebook, are positively correlated with divorce [8]. Survey studies, such as that conducted by Clayton et al. [9], had shown that high levels of Facebook use, when mediated by Facebook-related conflict with romantic partners, significantly predict negative relationship outcomes [9-11]. Previous studies clearly indicated that social media makes it easy for users to reconnect with any past lover, which could lead to emotional cheating and this could then lead to a breakup or divorce [9-11]. The diverse psychological and behavioral effects of social media on users necessitate further and deeper analysis. Such an analysis will be of value not only to academic researchers, but also to sociology experts, psychologists, psychiatrists, and even to those in the field of telecommunications to adapt and tailor these social media to the psychological health and needs of the users. Bibliometric and scientometric studies on Facebook and other social media have been carried out to assess the research trends in these social media in general [12-15]. Similarly, several bibliometric and scientometric studies have been accomplished to assess the research trends in psychology and behavior [16-18]. However, no search of the literature for bibliometric or scientometric analyses of psychology publications pertaining to social media was found. In response, this study was designed to address this gap by mapping the literature regarding the largest and most popular social media (i.e. Facebook, Twitter, LinkedIn, Snapchat, and Instagram) [4, 5] in the field of psychology. Specifically, this study will assess the growth in publications, citation analysis, international collaboration, author productivity, emerging topics and the mapping of frequent terms in publications pertaining to social media in the field of psychology.

Methods

The database used in this bibliometric study, the Web of Science (WoS) database: Core Collection [20], is one of the largest and comprehensive bibliographic databases covering multidisciplinary areas. It encompasses over 12,000 of the highest impact journals worldwide (i.e. those considered to be highly influential in their fields) that contain somewhat higher data quality in the scientific, technical, medical, and social sciences [19-23]. To retrieve the research related to social media in the field of psychology, we applied the following steps to conduct this bibliometric study: The topic search query phrase “(Facebook OR Twitter OR LinkedIn OR Snapchat OR Instagram)” was applied to gather all the publications with those phrases in their titles, abstracts, or keywords. The documents published during the period from 2004 to 2015 were included in the study while the years 2016 and 2017 were excluded, as those years are still open for new issues. We then limited our retrieved publications related to social media to all those indexed under research categories related to psychology in the WoS database, including “Psychology”, “Psychology Clinical”, “Psychology Developmental”, “Psychology Multidisciplinary”, “Psychology Experimental”, “Psychology Social”, and “Psychology Applied”. The search queries from steps 1 and 2 were merged into one search query as the following: TS = (Facebook) OR TS = (Twitter) OR TS = (LinkedIn) OR TS = (Snapchat) OR TS = (Instagram). It was refined by the following Web of Science categories:(Psychology Clinical OR Psychology OR Psychology Developmental OR Psychology Multidisciplinary OR Psychology Experimental OR Psychology Social OR Psychology Applied). All the collected data were analysed and plotted based on the following characteristics: publication year, the main journal in the field, the institutions, the country/territory, the document type and language, the h-index, the impact factor (IF), the collaboration, and the citations. The IF was used according to the 2015 Journal Citation Reports® published by Thomson Reuters, 2016 [24]. We then analysed the records to identify the relationship between the countries, the institutions, and the terms through visualisations the main clusters in each one by using VOSviewer v.1.6.5 software. The key terms were recognised in the titles and abstracts of the retrieved publications related to social media in psychology, and the co-occurrence frequencies of these terms were calculated. The term map was constructed based on the co-occurrence frequencies of these terms to cluster the main topics in this field.

Statistical analysis

Microsoft Excel 2007 and VOSviewer v.1.6.5 software were used for the graphics. SPSS statistical software (SPSS for Windows, version 16) was used for the statistical analyses. The Pearson correlation test was used to determine the correlation between the number of publication in the field of social media and the number of publication related to social media in psychology. P values < 0.05 were considered to be statistically significant. The descriptive statistics were presented as frequencies and percentages.

Results and discussion

The present study outlines the bibliometric indicators of the scientific research related to social media in psychology during the research timeframe from 2004 to 2015. We found a total of 10,843 publications related to social media published between 2004 and 2015. There were 959 scientific publications related to social media in psychology. Nine types of documents were found, and the most common was research articles (873 documents), which accounted for 91.03% of the total publications. The second most common document type was meeting abstracts (41 documents, 4.28% of the total). As expected, the majority of the publications were written in English (99.06%). Figure 1 shows the publication productivity related to social media and the publication productivity related to social media in psychology over time. The correlation analysis clearly shows a high correlation between the number of publication in the field of social media and the publication productivity related to social media in psychology (r = 0.995; p value < 0.001).
Fig. 1

Yearly number of publications related to social media in psychology

Yearly number of publications related to social media in psychology This increase in publications related to social media in psychology seems to be related to (1) social networking sites, which became very popular in previous decade [25, 26]; (2) increasing interest in this field in multiple health disciplines [27-31]; (3) or general cause such as the increasingly prevalent use of the internet, which has allowed more rapid distribution of medical knowledge through scientific research [32]. Table 1 shows information about the 10 countries with the most published papers. The USA is responsible for the most papers (548 documents, 57.14% of the total), with the highest h-index values (h-index value = 48). The USA is followed by the UK (69, 6.69%), Canada (46, 4.80%), Germany (46, 4.80%), and Australia (44, 4.59%). The h-index for all retrieved publications was 59. The publications with the most international collaboration were those from the USA (n = 100). The UK and China ranked second and third, with 35 and 17 documents for each, respectively. The collaboration between countries based on co-authorship is shown in Fig. 2. The USA is the most networked country, collaborating with 26 countries, followed by the UK (n = 22) and Germany (n = 15). The USA was the most prolific country in producing publications related to psychology in social media, contributing to more than of half of the publications related to this topic. This research output from the USA is possibly due to the large size of the population or economic forces [33, 34]. Furthermore, most of the social networking sites were established and founded in the USA. These findings are similar to those found in previous bibliometric studies in different fields, principally that the USA had the highest activity in scientific research output worldwide and in international collaboration networks, as well as the highest h-index [32, 35–37]. Regarding the international collaboration, this emphasizes the significance of global networking and its impact on research output [38-41].
Table 1

Top 10 most productive countries

SCRCountryNumber of documents (%)h-indexAverage citations per documentNo. of collaborative countriesNo. of publications from collaboration
1stUSA548 (57.14)4820.426100
2ndUK69 (6.67)1511.52235
3rdCanada46 (4.80)1735.3514
3rdGermany46 (4.80)13151516
5thAustralia44 (4.59)1318.9412
6thTaiwan43 (4.48)1113.9612
7thSouth Korea36 (3.75)1316.2116
8thChina32 (3.34)1114.7717
9thTurkey26 (2.71)73.443
10thNetherlands25 (2.61)817611

SCR Standard competition ranking

Fig. 2

Combined mapping and clustering of productive countries/territories

Top 10 most productive countries SCR Standard competition ranking Combined mapping and clustering of productive countries/territories Table 2 lists the top 10 most productive journals with their IF. The major publication outlets for research related to social media in psychology include Computers in Human Behavior (n = 375), Cyberpsychology Behavior and Social Networking (n = 134), the Journal of Adolescent Health (n = 30), Personality and Individual Differences (n = 25), and American Behavioral Scientist (n = 23).
Table 2

Ten most active journals according to the number of publications related to social media in psychology

SCRJournal/periodicalNumber of publications (%)IFa
1st Computers in Human Behavior 375 (39.10)2.880
2nd Cyberpsychology Behavior and Social Networking 134 (13.97)2.188
3rd Journal of Adolescent Health 30 (3.13)3.838
4th Personality and Individual Differences 25 (2.61)1.964
5th American Behavioral Scientist 23 (2.40)1.907
6th Annals of Behavioral Medicine 16 (1.67)4.195
7th Psychological Reports 12 (1.25)0.414
7th Social Behavior and Personality 12 (1.25)0.366
9th Psychological Science 9 (0.94)5.476
10th Social Psychological and Personality Science 8 (0.83)2.325

SCR Standard competition ranking, IF Impact factor

aThe impact factor was reported according to journal citation reports (JCR) 2015

Ten most active journals according to the number of publications related to social media in psychology SCR Standard competition ranking, IF Impact factor aThe impact factor was reported according to journal citation reports (JCR) 2015 The scientific landscape of main research areas related to social media in psychology is presented in Fig. 3, based on the retrieved publications terms co-occurrence network from the retrieved publications. The most important research areas related to social media in psychology were personality psychology, experimental psychology, psychological risk factors, and developmental psychology. Based on the map, the four main clusters (denoted by the green, blue, red, and yellow colours) were characterised by the most commonly used terms in the research related to social media in the psychology field. Green coloured cluster represented terms related to the developmental psychology topic, such as “child”, “adolescent”, or “adult”; blue coloured cluster represented terms related to personality psychology, such as “extraversion”, “openness”, or “romantic”; red coloured cluster represented terms related to experimental psychology, such as “empirical”, “experiment”, or “mechanism”; and yellow coloured cluster represented terms related to psychological risk factors, such as “risk” or “alcohol”.
Fig. 3

High-frequency terms in the titles and abstracts in publications related to social media in psychology with research topics indicated

High-frequency terms in the titles and abstracts in publications related to social media in psychology with research topics indicated Table 3 lists the 10 most cited among these papers. The 10 most cited articles were published in 4 journals [42-51]. The most-cited article, by Pempek et al., which investigated how much, why, and how college students use social networking sites, was published in the Journal of Applied Developmental Psychology in 2009 and has been cited 426 times [46]. The most recent manuscript in the top 10, by Lin and Lu, which investigated the factors affecting user’s joining social networking sites, was published in 2011 and has been cited 241 times [44].
Table 3

Ten top-cited publications for research related to social media in psychology

SCRTitleAuthorsSource titlePublication yearTotal citationsAverage per year
1stCollege students’ social networking experiences on FacebookPempek et al. [46] Journal of Applied Developmental Psychology 200942647.33
2ndSocial capital, self-esteem, and use of online social network sites: a longitudinal analysisSteinfield et al. [49] Journal of Applied Developmental Psychology 200840840.8
3rdPersonality and motivations associated with Facebook useRoss et al. [48] Computers in Human Behavior 200938642.89
4thIdentity construction on Facebook: digital empowerment in anchored relationshipsZhao et al. [51] Computers in Human Behavior 200832732.7
5thMySpace and Facebook: applying the uses and gratifications theory to exploring friend-networking sitesRaacke and Bonds-Raacke [47] Cyberpsychology & Behavior 200831331.3
6thWho interacts on the Web?: The intersection of users’ personality and social media useCorrea et al. [43] Computers in Human Behavior 201028235.25
7thOnline and offline social networks: use of social networking sites by emerging adultsSubrahmanyam et al. [50] Journal of Applied Developmental Psychology 200827527.5
8thBeing immersed in social networking environment: Facebook groups, Uses and Gratifications, and Social OutcomesPark et al. [45] Cyberpsychology & Behavior 200926329.22
9thWhy people use social networking sites: an empirical study integrating network externalities and motivation theoryLin and Lu [44] Computers in Human Behavior 201124134.43
9thFacebook profiles reflect actual personality, not self-idealizationBack et al. [42] Psychological Science 201024130.12

SCR Standard competition ranking

Ten top-cited publications for research related to social media in psychology SCR Standard competition ranking Table 4 shows the top 10 institutions based on the number of publications related to social media in the psychology field. It is worth noting that the University of Wisconsin–Madison ranked first in terms of the total publications (n = 39). Ohio State University (n = 25) was second to the University of Wisconsin–Madison in the total number of publications, followed by Michigan State University (n = 23) and the University of Texas at Austin (n = 23). Figure 4 shows the collaboration between the most prolific institutions.
Table 4

Top 10 most productive institutes according to the number of publications related to social media in psychology

SCRInstituteCountryNumber of publications (%)
1stUniversity of WisconsinMadisonUSA39 (4.07)
2nd Ohio State University USA25 (2.61)
3rd Michigan State University USA23 (2.40)
3rd University of Texas at Austin USA23 (2.40)
5th University of Washington USA19 (1.98)
6th Nanyang Technological University Singapore17 (1.77)
7th University of Michigan USA15 (1.56)
7th University of Missouri USA15 (1.56)
8th Cornell University USA11 (1.15)
8th University of Alabama USA11 (1.15)
8th University of Toronto Canada11 (1.15)

SCR Standard competition ranking

Fig. 4

Combined mapping and clustering of productive institutes

Top 10 most productive institutes according to the number of publications related to social media in psychology SCR Standard competition ranking Combined mapping and clustering of productive institutes This bibliometric study represents the first concise analysis of the global publications related to social media in psychology and shows the benefits of bibliometric analysis for evaluating research productivity in a standardised way. There are some limitations, most of which have already been mentioned in previous bibliometric studies [52-56]. The first is that the study was centred only on the most used social network worldwide. The value of other social networking sites might also be evaluated in order to provide a more faithful representation of all the research activities in this field. In our study, we decided to include only commonly-known networking sites related to the field of social media; however, social media is a rapidly changing and growing field [57]. A second limitation is that our study was based on the WoS Core Collection database; thus, it is expected that publications published in non-WoS-cited journals may not have been included in the analysis. Thirdly, some publications regarding social media might have been published in non-psychology journals.

Conclusions

Up to the authors’ best knowledge, this is the first ever bibliometric study to report worldwide activity in social media—related research in psychology field. Our study provides some novel insights useful for policy makers, researchers, and funders interested in advancing an evidence-based social media and psychology research agenda. International research collaborations and research networks should be encouraged to help prioritize social media—related psychology research particularly in countries with research capacities. Our findings provide baseline data for scholars and policy makers to recognize the bibliometric indicators in the current study as measures of research performance in social media for future policies and funding decisions. Finally, our study showed that bibliometric analysis is a good methodological tool to map published literature in a particular subject and to pin point research gaps in that subject.
  31 in total

1.  Classic articles in Psychology in the Science Citation Index Expanded: A bibliometric analysis.

Authors:  Yuh-Shan Ho; James Hartley
Journal:  Br J Psychol       Date:  2015-11-26

Review 2.  The Use of Social Networking Sites (SNSs) in Health Communication Campaigns: Review and Recommendations.

Authors:  Jingyuan Shi; Thanomwong Poorisat; Charles T Salmon
Journal:  Health Commun       Date:  2016-11-18

3.  Collaborations: The rise of research networks.

Authors:  Jonathan Adams
Journal:  Nature       Date:  2012-10-18       Impact factor: 49.962

4.  The third wheel: the impact of Twitter use on relationship infidelity and divorce.

Authors:  Russell B Clayton
Journal:  Cyberpsychol Behav Soc Netw       Date:  2014-04-01

5.  Global research production in glyphosate intoxication from 1978 to 2015: A bibliometric analysis.

Authors:  S H Zyoud; W S Waring; S W Al-Jabi; W M Sweileh
Journal:  Hum Exp Toxicol       Date:  2016-11-12       Impact factor: 2.903

6.  Intravenous Lipid Emulsion as an Antidote for the Treatment of Acute Poisoning: A Bibliometric Analysis of Human and Animal Studies.

Authors:  Sa'ed H Zyoud; W Stephen Waring; Samah W Al-Jabi; Waleed M Sweileh; Belal Rahhal; Rahmat Awang
Journal:  Basic Clin Pharmacol Toxicol       Date:  2016-05-20       Impact factor: 4.080

Review 7.  A bibliometric study of scientific literature on obesity research in PubMed (1988-2007).

Authors:  J Vioque; J M Ramos; E M Navarrete-Muñoz; M García-de-la-Hera
Journal:  Obes Rev       Date:  2009-09-14       Impact factor: 9.213

8.  Characterizing social media metrics of scholarly papers: the effect of document properties and collaboration patterns.

Authors:  Stefanie Haustein; Rodrigo Costas; Vincent Larivière
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

9.  Bibliometric analysis of worldwide publications on multi-, extensively, and totally drug - resistant tuberculosis (2006-2015).

Authors:  Waleed M Sweileh; Adham S AbuTaha; Ansam F Sawalha; Suleiman Al-Khalil; Samah W Al-Jabi; Sa'ed H Zyoud
Journal:  Multidiscip Respir Med       Date:  2017-01-11

10.  Predicting national suicide numbers with social media data.

Authors:  Hong-Hee Won; Woojae Myung; Gil-Young Song; Won-Hee Lee; Jong-Won Kim; Bernard J Carroll; Doh Kwan Kim
Journal:  PLoS One       Date:  2013-04-22       Impact factor: 3.240

View more
  9 in total

1.  Outdoor air pollution and respiratory health: a bibliometric analysis of publications in peer-reviewed journals (1900 - 2017).

Authors:  Waleed M Sweileh; Samah W Al-Jabi; Sa'ed H Zyoud; Ansam F Sawalha
Journal:  Multidiscip Respir Med       Date:  2018-06-01

2.  Research trends on human trafficking: a bibliometric analysis using Scopus database.

Authors:  Waleed M Sweileh
Journal:  Global Health       Date:  2018-11-08       Impact factor: 4.185

3.  Global output of research on the health of international migrant workers from 2000 to 2017.

Authors:  Waleed M Sweileh
Journal:  Global Health       Date:  2018-11-08       Impact factor: 4.185

4.  Global research trends in microbiome-gut-brain axis during 2009-2018: a bibliometric and visualized study.

Authors:  Sa'ed H Zyoud; Simon Smale; W Stephen Waring; Waleed M Sweileh; Samah W Al-Jabi
Journal:  BMC Gastroenterol       Date:  2019-08-30       Impact factor: 3.067

5.  Machine Learning for Mental Health in Social Media: Bibliometric Study.

Authors:  Jina Kim; Daeun Lee; Eunil Park
Journal:  J Med Internet Res       Date:  2021-03-08       Impact factor: 5.428

Review 6.  Research trends in cybercrime victimization during 2010-2020: a bibliometric analysis.

Authors:  Huong Thi Ngoc Ho; Hai Thanh Luong
Journal:  SN Soc Sci       Date:  2022-01-06

7.  Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis.

Authors:  Jianfei Cao; Yeongjoo Lim; Shintaro Sengoku; Xitong Guo; Kota Kodama
Journal:  JMIR Mhealth Uhealth       Date:  2021-09-08       Impact factor: 4.773

8.  Obsessive-Compulsive Disorder (OCD) Types and Social Media: Are Social Media Important and Impactful for OCD People?

Authors:  Andrea Guazzini; Mustafa Can Gursesli; Elena Serritella; Margherita Tani; Mirko Duradoni
Journal:  Eur J Investig Health Psychol Educ       Date:  2022-08-15

9.  Global scientific trends on aflatoxin research during 1998-2017: a bibliometric and visualized study.

Authors:  Sa'ed H Zyoud
Journal:  J Occup Med Toxicol       Date:  2019-11-21       Impact factor: 2.646

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.