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http://dx.doi.org/10.1633/JISTaP.2020.8.4.1

Clustering Social Media Services and Messengers by Functionality  

Fischer, Julia (Department of Information Science, Heinrich Heine University)
Knapp, Daniel (Department of Information Science, Heinrich Heine University)
Nguyen, Bich Chau (Department of Information Science, Heinrich Heine University)
Richter, Daniel (Department of Information Science, Heinrich Heine University)
Shutsko, Aliaksandra (Department of Information Science, Heinrich Heine University)
Stoppe, Melanie (Department of Information Science, Heinrich Heine University)
Williams, Kelly (Department of Information Science, Heinrich Heine University)
Ilhan, Aylin (Department of Information Science, Heinrich Heine University)
Stock, Wolfgang G. (Department of Information Science, Heinrich Heine University)
Publication Information
Journal of Information Science Theory and Practice / v.8, no.4, 2020 , pp. 6-19 More about this Journal
Abstract
The objective of this research is to analyze which functions make up web-based as well as mobile social media services and messengers. Services are clustered by their functionality. A total of 640 individual functions were identified, while investigating altogether 44 selected services in their web and mobile versions. Applying content analysis, functions were assigned to the services. The services were ranked by the number of implemented functions, and the functions were ranked by their occurrence in the services. Cluster analysis was applied to classify the services according to their functionality. Facebook and VKontakte were found to be the ones with the most functions; the most frequently implemented functions are support, profile, and account-related. Cluster analysis revealed six classes for mobile and seven classes for web applications. There is a noteworthy difference regarding the functionality scope between web and mobile applications of the same services. An example for this is Mendeley with 38 functions in the mobile and 91 functions in the web version. This is the first empirical attempt at clustering social media services based on their functionality.
Keywords
social media; instant messengers; cluster analysis; functionality; content analysis; function;
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  • Reference
1 Benyon, D. (2019). Designing user experience: A guide to HCI, UX and interaction design. Harlow: Pearson Education.
2 Borg, I., Groenen, P. J. F., & Mair, P. (2018). Applied multidimensional scaling and unfolding. Cham: Springer.
3 Bruhn, M., Schafer, D. B., Schwarz, J., & Lauber, M. (2011). Facebook, Twitter, YouTube und Co. - Erwartun-gen der nutzer an social-media-plattformen. Marketing Review St. Gallen, 28(5), 36-42.   DOI
4 Enge, E. (2019). Mobile vs. desktop usage in 2019. Retrieved June 28, 2019 from https://www.stonetemple.com/mobile-vs-desktop-usage-study.
5 Giudici, P., & Figini, S. (2009). Applied data mining for business and industry. Chichester: Wiley.
6 Goffman, E. (1959). The presentation of self in everyday life. New York: Anchor Books.
7 Influencer MarketingHub. (2020). 60 Social media statistics for 2020 [+Internet in real time live infographic]. Retrieved August 23, 2019 from https://influencermarketinghub.com/social-media-statistics.
8 Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59-68.   DOI
9 International Organization for Standardization. (2017). ISO/IEC/IEEE 24765:2017(en). Systems and software engineering - Vocabulary. Retrieved August 1, 2020 from https://www.iso.org/obp/ui/#iso:std:iso-iec-ieee:24765:ed-2:v1:en.
10 IPG Media Lab. (2014). Messaging apps: The new face of social media and what it means for brands. Retrieved August 1, 2019 from https://ipglab.com/wp-content/uploads/2014/04/MessagingApps_Whitepaper_Final.pdf.
11 Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. The Public Opinion Quarterly, 37(4), 509-523.   DOI
12 Kemp, S. (2019). Digital 2019: Q2 global digital statshot. Retrieved August 1, 2020 https://datareportal.com/reports/digital-2019-q2-global-digital-statshot.
13 Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241-251.   DOI
14 Krippendorff, K. (2011). ScholarlyCommons. Computing Krippendorff's alpha-reliability. Philadelphia: University of Pennsylvania.
15 Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Los Angeles: Sage.
16 Nardi, B. A., Whittaker, S., & Bradner, E. (2000, December 2-6). Interaction and outeraction: Instant messaging in action. In W. Kellogg, & S. Whittaker (Eds.) Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work (pp. 79-88). ACM.
17 Linde, F., & Stock, W. G. (2011). Information markets: A strategic guideline for the i-commerce. New York: De Gruyter Saur.
18 McQuail, D. (1984). With the benefit of hindsight: Reflections on uses and gratifications research. Critical Studies in Mass Communication, 1(2), 177-193.   DOI
19 Murtagh, F., & Legendre, P. (2014). Ward's hierarchical agglomerative clustering method: Which algorithms implement Ward's criterion? Journal of Classification, 31(3), 274-295.   DOI
20 Nadkarni, A., & Hofmann, S. G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3), 243-249.   DOI
21 Nowak, P., Juttner, K., & Baran, K. S. (2018, July 15-20). Posting content, collecting points, staying anonymous: An evaluation of Jodel. In G. Meiselwitz (Ed.), Social Computing and Social Media. User Experience and Behavior. SCSM 2018 (pp. 67-86). Springer (Lecture Notes in Computer Science; 10913).
22 Obar, J. A., & Wildman, S. (2015). Social media definition and the governance challenge: An introduction to the special issue. Telecommunications Policy, 39(9), 745-750.   DOI
23 Peters, I. (2009). Folksonomies: Indexing and retrieval in the web 2.0. Berlin: De Gruyter.
24 Raupp, J., & Vogelgesang, J. (2009). Medienresonanzanalyse: Eine einfuhrung in theorie und praxis. Wiesbaden: Springer VS.
25 Rezankova, H. (2009). Cluster analysis and categorical data. Statistika, 89(3), 216-232.
26 Sander, T., Teh, P. L., & Sloka, B. (2017). Your social network profile reveals you. International Journal of Web Information Systems, 13(1), 14-24.   DOI
27 Shao, G. (2009). Understanding the appeal of user‐generated media: A uses and gratification perspective. Internet Research, 19(1), 7-25.   DOI
28 Schmidt, J. -H. (2018). Social media. Wiesbaden: Springer VS.
29 Schumann, L., & Stock, W. G. (2014). The information service evaluation (ISE) model. Webology, 11(1), 1-20.
30 Shah, A. K., & Oppenheimer, D. M. (2011). Grouping information for judgments. Journal of Experimental Psychology: General, 140(1), 1-13.   DOI
31 Sharma, R. (2018). 100 Social media statistics for businesses 2019 + [Infographic & PDF]. Retrieved May 29, 2020 from https://statusbrew.com/insights/social-media-statistics-2019.
32 Shutsko, A. (2020, July 19-24). User-generated short video content in social media. A case study of TikTok. In G. Meiselwitz (Ed.), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing (pp. 108-125). Springer (Lecture Notes in Computer Science; 12195).
33 Spencer, J. (2019). 65+ Social networking sites you need to know about. Retrieved May 29, 2020 from https://makeawebsitehub.com/social-media-sites.
34 Statista Research Department (2018). Statistiken zu Android. Retrieved May 29, 2020 from https://de.statista.com/themen/1355/android.
35 Stock, W. G. (2000). Checkliste fur Retrievalsysteme. Qualitatskriterien von Suchmaschinen. Password, 5, 22-31.
36 Stock, W. G., & Stock, M. (2013). Handbook of information science. Berlin: De Gruyter.
37 Timm, N. H. (2002). Applied multivariate analysis. New York: Springer.
38 Verma, J. P. (2013). Data analysis in management with SPSS software. New Delhi: Springer India.
39 Weller, K. (2015). Trying to understand social media users and usage: The forgotten features of social media platforms. Online Information Review, 40(2), 256-264.   DOI
40 Ward, J. H., Jr. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236-244.   DOI
41 Weninger, T., Zhu, X. A., & Han, J. (2013, August 25-28). An exploration of discussion threads in social news sites: A case study of the Reddit community. In J. Rokne, & C. Faloutsos (Eds.), Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 579-583). ACM.
42 Wenninger, H., Cheung, C. M. K., & Krasnova, H. (2019). College-aged users behavioral strategies to reduce envy on social networking sites: A cross-cultural investigation. Computers in Human Behavior, 97, 10-23.   DOI
43 Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research, 16(4), 362-369.   DOI
44 Zimmer, F., Akyurek, H., Gelfart, D., Mariami, H., Scheibe, K., Stodden, R., ... Stock, W. G. (2018, June 21-22). An evaluation of the social news aggregator Reddit. In V. Cunnane, & N. Corcoran (Eds.), European Conference on Social Media 2018 (ECSM 2018) (pp. 364-373). Academic Conferences and Publishing International.
45 Zimmer, F., & Scheibe, K. (2019, January 8-11). What drives streamers? Users' characteristics and motivations on social live streaming services. In T. Bui (Ed.), Bui Proceedings of the 52nd Hawaii International Conference on System Sciences (pp. 2538-2547). HICSS (ScholarSpace).
46 Baran, K. S., & Stock, W. G. (2015, July 9-10). Facebook has been smacked down. The Russian special way of SNSs: Vkontakte as a case study. In A. Mesquita, & P. Peres (Eds.), Proceedings of the 2nd European Conference on Social Media (ECSM 2015) (pp. 573-582). Academic Conferences and Publishing International.
47 Aichner, T., & Jacob, F. (2015). Measuring the degree of corporate social media use. International Journal of Market Research, 57(2), 257-276.   DOI
48 Bacher, J., Poge, A., & Wenzig, K. (2010). Clusteranalyse: Anwendungsorientierte einfuhrung in klassifikationsverfahren. Munich: Oldenbourg.
49 Baran, K. S., & Ghaffari, H. (2017). The manifold research fields of Facebook: A bibliometric analysis. Journal of Information Science Theory and Practice, 5(2), 33-47.   DOI
50 Barroca Filho, I. d. M., & Aquino Junior, G. S. (2016). A case study of development of a mobile application from an existing web information system. International Journal of Web Information Systems, 12(1), 18-38.   DOI