Abstract
The use of social media is part of everyday life in both private and professional environments. Social media is used for communication, data exchange and the distribution of news and advertisements. Social Media Analytics (SMA) help to collect and interpret unstructured data. The measurement of user behavior serves to form opinions and evaluate the influence of individual actors. This results in a multitude of application areas for SMA. On the basis of a literature search, our aim is to determine the main application areas and summarize the current state of research. We describe these areas, show current findings from the literature and uncover gaps in research. The main application areas of SMA investigated in research are healthcare, tourism and natural disaster control.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kaplan, A.M., Haenlein, M.: Users of the world, unite! the challenges and opportunities of social media. Bus. Horiz. 53, 59–68 (2010)
Stieglitz, S., Dang-Xuan, L., Bruns, A., Neuberger, C.: Social media analytics. Wirtschaftsinformatik 56, 101–109 (2014)
Beier, M., Wagner, K.: Social media adoption: barriers to the strategic use of social media in SMEs. In: Proceedings of the European Conference of Information Systems, pp. 1–18. AIS, Istanbul (2016)
Treem, J.W., Leonardi, P.M.: Social media use in organizations: exploring the affordances of visibility, editability, persistence, and association. Ann. Int. Commun. Assoc. 36, 143–189 (2013)
El-Haddadeh, R., Weerakkody, V., Peng, J.: Social networking services adoption in corporate communication: the case of China. J. Enterp. Inf. Manage. 25, 559–575 (2012)
Baars, H., Kemper, H.-G.: Management support with structured and unstructured data - an integrated business intelligence framework. Inf. Syst. Manage. 25, 132–148 (2008)
Zeng, D., Chen, H., Lusch, R., Li, S.-H.: Social media analytics and intelligence. IEEE Intell. Syst. 25, 13–16 (2010)
Sinha, V., Subramanian, K.S., Bhattacharya, S., Chaudhary, K.: The contemporary framework on social media analytics as an emerging tool for behavior informatics, HR analytics and business process. Manage. J. Contemp. Manage. Issues 17, 65–84 (2012)
Kurniawati, K., Shanks, G., Bekmamedova, N.: The business impact of social media analytics. In: Proceedings of the European Conference of Information Systems, pp. 48–61. AIS, Utrecht (2013)
Khan, G.F.: Seven Layers of Social Media Analytics: Mining Business Insights from Social Media; Text, Actions, Networks, Hyperlinks, Apps, Search Engine, and Location Data. CreateSpace Independent Publishing Platform (2015)
Kataria, D.: A review on social media analytics. Int. J. Adv. Res. Ideas Innov. Technol. 3, 695–698 (2017)
Rathore, A.K., Kar, A.K., Ilavarasan, P.V.: Social media analytics: literature review and directions for future research. Decis. Anal. 14, 229–249 (2017)
Kotov, A.: Social media analytics for healthcare. In: Reddy, C.K., Aggarwal, C.C. (eds.) Healthcare Data Analytics. Apple Academic Press Inc. (2015)
Wang, Z., Ye, X.: Social media analytics for natural disaster management. Int. J. Geograph. Inf. Sci. 32, 49–72 (2018)
Sahatiya, P.: Big data analytics on social media data: a literature review. Int. Res. J. Eng. Technol. 5, 189–192 (2018)
Stieglitz, S., Mirbabaie, M., Ross, B., Neuberger, C.: Social media analytics – challenges in topic discovery, data collection, and data preparation. Int. J. Inf. Manage. 39, 156–168 (2018)
Sebei, H., Hadj Taieb, M.A., Ben Aouicha, M.: Review of social media analytics process and big data pipeline. Soc. Netw. Anal. Min. 8, 30 (2018)
Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature. Rev. MIS Q. 26, xiii–xxiii (2002)
Google Trends. https://trends.google.de/trends/explore?q=Social%20Media%20Analytics. Accessed 07 July 2018
Abbasi, A., et al.: Social media analytics for smart health. IEEE Intell. Syst. 29, 60–80 (2014)
Achrekar, H., Gandhe, A., Lazarus, R., Yu, S.-H., Liu, B.: Predicting flu trends using Twitter data. In: Proceedings of the IEEE Conference on Computer Communications Workshops (INFOCOM), pp. 702–707. IEEE, Shanghai (2011)
Alimova, I., Tutubalina, E.: Automated detection of adverse drug reactions from social media posts with machine learning. In: van der Aalst, Wil M.P., et al. (eds.) AIST 2017. LNCS, vol. 10716, pp. 3–15. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73013-4_1
Akhtyamova, L., Alexandrov, M., Cardiff, J.: Review of trends in health social media analysis. In: 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies. IEEE, Yerevan (2017)
Bello-Orgaz, G., Hernandez-Castro, J., Camacho, D.: Detecting discussion communities on vaccination in Twitter. Future Gener. Comput. Syst. 66, 125–136 (2017)
Chee, B.W., Berlin, R., Schatz, B.: Predicting adverse drug events from personal health messages. In: AMIA Annual Symposium Proceedings Archive, pp. 217–226 (2011)
Harpaz, R., et al.: Text mining for adverse drug events: the promise, challenges, and state of the art. Drug Saf. 37, 777–790 (2014)
Jin, J., Yan, X., Li, Y., Li, Y.: How users adopt healthcare information: an empirical study of an online Q&A community. Int. J. Med. Inf. 86, 91–103 (2016)
Liu, X., Chen, H.: A research framework for pharmacovigilance in health social media: identification and evaluation of patient adverse drug event reports. J. Biomed. Inf. 58, 268–279 (2015)
Patki, A., Sarker, A., Pimpalkhute, P., Nikfarjam, A., Ginn, R.: Mining adverse drug reaction signals from social media: going beyond extraction. In: Proceedings of BioLinkSig, Boston, MA, USA (2014)
Ritterman, J., Osborne, M., Klein, E.: Using prediction markets and Twitter to predict a Swine Flu pandemic. In: 1st International Workshop of Mining Social Media (2009)
Sarker, A., Gonzalez, G.: Portable automatic text classification for adverse drug reaction detection via multi-corpus training. J. Biomed. Inf. 53, 196–207 (2015)
Waszak, P.M., Kasprzycka-Waszak, W., Kubanek, A.: The spread of medical fake news in social media – the pilot quantitative study. Health Policy Technol. 7, 115–118 (2018)
Yang, M., Li, Y., Kiang, M.: Environmental scanning for customer complaint identification in social media. In: Proceedings of the International Conference on Information Systems. AIS, Shanghai (2011)
Yang, M., Wang, X., Kiang, M.: Identification of consumer adverse drug reaction messages on social media. In: Proceedings of the 17th Pacific Asia Conference on Information Systems. AIS, Jeju Island (2013)
Yang, C.C., Yang, H.: Exploiting social media with tensor decomposition for pharmacovigilance. In: Proceedings of the IEEE International Conference on Data Mining Workshop, pp. 188–195. IEEE Computer Society, Atlantic City (2015)
Cameron, M.A., Power, R., Robinson, B., Yin, J.: Emergency situation awareness from Twitter for crisis management. In: Proceedings of the Conference on World Wide Web, pp. 695–698. ACM, New York (2012)
Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the Conference on World Wide Web, pp. 851–860. ACM, New York (2010)
Li, L., Zhang, Q., Tian, J., Wang, H.: Characterizing information propagation patterns in emergencies: a case study with Yiliang earthquake. Int. J. Inf. Manage. 38, 34–41 (2018)
Cheong, F., Cheong, C.: Social media data mining: a social network analysis of tweets during the 2010–2011 Australian floods. In: Proceedings of the Pacific Asia Conference on Information Systems. AIS, Brisbane (2011)
Dong, H., Halem, M., Zhou, S.: Social Media data analytics applied to Hurricane Sandy. In: Proceedings of the International Conference on Social Computing, pp. 963–966. IEEE Computer Society, Alexandria (2013)
Verma, S.: Natural language processing to the rescue? extracting “situational awareness” tweets during mass emergency. In: Proceedings of the International AAAI Conference on Weblogs and Social Media. AAAI, Barcelona (2011)
Ross, B., Potthoff, T., Majchrzak, T.A., Chakraborty, N.R., Lazreg, M.B., Stieglitz, S.: The diffusion of crisis-related communication on social media: an empirical analysis of Facebook reactions. In: Proceedings of the Hawaii International Conference on System Sciences. AIS, Waikoloa Village (2018)
Mendoza, M., Poblete, B., Castillo, C.: Twitter under crisis: can we trust what we RT? In: Workshop on Social Media Analytics, pp. 71–79. ACM, New York (2010)
Mukkamala, A., Beck, R.: Enhancing disaster management through social media analytics to develop situation awareness what can be learned from Twitter messages about Hurricane Sandy? In: Proceedings of the Pacific Asia Conference on Information Systems. AIS, Chiayi (2016)
Vieweg, S., Hughes, A.L., Starbird, K., Palen, L.: Microblogging during two natural hazards events: what Twitter may contribute to situational awareness. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1079–1088. ACM, New York (2010)
Zin, T.T.: Knowledge based social network applications to disaster event analysis. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, p. 6. IAENG, Hong Kong (2013)
Sen, A., Rudra, K., Ghosh, S.: Extracting situational awareness from microblogs during disaster events. In: Proceedings of the Communication Systems and Networks, pp. 1–6. IEEE Computer Society, Bangalore (2015)
Oh, C., Kumar, S.: How trump won: the role of social media sentiment in political elections. In: Proceedings of the Pacific Asia Conference on Information Systems, p. 48. AIS, Langkawi (2017)
Yaqub, U., Chun, S.A., Atluri, V., Vaidya, J.: Sentiment based analysis of tweets during the US presidential elections. In: Proceedings of the Annual International Conference on Digital Government Research, pp. 1–10. ACM, New York (2017)
You, Q., Cao, L., Cong, Y., Zhang, X., Luo, J.: A multifaceted approach to social multimedia-based prediction of elections. IEEE Trans. Multimedia 17, 2271–2280 (2015)
Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Predicting elections with Twitter: what 140 characters reveal about political sentiment. In: Proceedings of the International Conference on Weblogs and Social Media. AAAI, Washington (2010)
Stieglitz, S., Dang-Xuan, L.: Social media and political communication: a social media analytics framework. Soc. Netw. Anal. Min. 3, 1277–1291 (2013)
David, E., Zhitomirsky-Geffet, M., Koppel, M., Uzan, H.: Utilizing Facebook pages of the political parties to automatically predict the political orientation of Facebook users. Online Inf. Rev. 40, 610–623 (2016)
Agarwal, S., Sureka, A.: But I did not mean it! - intent classification of racist posts on Tumblr. In: European Intelligence and Security Informatics Conference, pp. 124–127. IEEE Computer Society, Uppsala (2016)
Stieglitz, S., Brockmann, T., Xuan, L.D.: Usage of social media for political communication. In: Proceedings of the Pacific Asia Conference on Information Systems. AIS, Ho Chi Minh City (2012)
Cheng, M., Edwards, D.: Social media in tourism: a visual analytic approach. Curr. Issues Tourism 18, 1080–1087 (2015)
Park, S., Ok, C., Chae, B.: Using Twitter data for cruise tourism marketing and research. J. Tourism Mark. 33, 885–898 (2016)
Marine-Roig, E., Anton Clavé, S.: Tourism analytics with massive user-generated content: a case study of Barcelona. J. Destination Mark. Manage. 4, 162–172 (2015)
Xiang, Z., Schwartz, Z., Gerdes, J.H., Uysal, M.: What can big data and text analytics tell us about hotel guest experience and satisfaction? Int. J. Hospitality Manage. 44, 120–130 (2015)
Chua, A., Servillo, L., Marcheggiani, E., Moere, A.V.: Mapping Cilento: using geotagged social media data to characterize tourist flows in Southern Italy. Tourism Manage. 57, 295–310 (2016)
Habib, M.B., Krol, N.C.: What does Twitter tell us about tourists’ mobility behavior? a case study on tourists in The Netherlands and Belgium. In: Proceedings of the Pacific Asia Conference on Information Systems, p. 34. AIS, Langkawi (2017)
Brandt, T., Bendler, J., Neumann, D.: Social media analytics and value creation in Urban smart tourism ecosystems. Inf. Manage. 54, 703–713 (2017)
Leung, X.Y., Bai, B., Stahura, K.A.: The marketing effectiveness of social media in the hotel industry: a comparison of Facebook and Twitter. J. Hospitality Tourism Res. 39, 147–169 (2015)
Nann, S., Krauss, J., Schoder, D.: Predictive analytics on public data - the case of stock markets. In: Proceedings of the European Conference on Information Systems, p. 102. AIS, Utrecht (2013)
Bollen, J., Mao, H., Zeng, X.-J.: Twitter mood predicts the stock market. J. Comput. Sci. 2, 1–8 (2011)
Zhang, X., Fuehres, H., Gloor, P.A.: Predicting stock market indicators through Twitter “I hope it is not as bad as I fear”. Procedia Soc. Behav. Sci. 26, 55–62 (2011)
Vu, T.T., Chang, S., Ha, Q.T., Collier, N.: An experiment in integrating sentiment features for tech stock prediction in Twitter. In: Proceedings of the Workshop on Information Extraction and Entity Analytics on Social Media Data, pp. 23–38. The COLING 2012 Organizing Committee, Mumbai (2012)
Adamopoulos, P., Todri, V.: Social media analytics: the effectiveness of promotional events on brand user base in social media. In: Proceedings of the International Conference on Information Systems. AIS, Auckland (2014)
Bekmamedova, N., Shanks, G.: Social media analytics and business value: a theoretical framework and case study. In: Proceedings of the Hawaii International Conference on System Sciences, pp. 3728–3737. IEEE Computer Society, Waikoloa (2014)
Ribarsky, W., Xiaoyu Wang, D., Dou, W.: Social media analytics for competitive advantage. Comput. Graph. 38, 328–331 (2014)
Seebach, C., Beck, R., Denisova, O.: Sensing social media for corporate reputation management: a business agility perspective. In: Proceedings of the European Conference on Information Systems. AIS, Barcelona (2012)
Davcheva, P.: Identifying sports talents by social media mining as a marketing instrument. In: Annual SRII Global Conference, pp. 223–227. IEEE Computer Society, San Jose (2014)
He, W., Wang, F.-K., Zha, S.: Enhancing social media competitiveness of small businesses: insights from small pizzerias. New Rev. Hypermedia Multi. 20, 225–250 (2014)
Rathore, A.K., Ilavarasan, P.V.: Social media analytics for new product development: case of a pizza. In: Proceedings of the International Conference on Advances in Mechanical, Industrial, Automation and Management Systems, pp. 213–219. IEEE, Allahabad (2017)
Misopoulos, F., Mitic, M., Kapoulas, A., Karapiperis, C.: Uncovering customer service experiences with Twitter: the case of airline industry. Manage. Decis. 52, 705–723 (2014)
He, W., Zha, S., Li, L.: Social media competitive analysis and text mining: a case study in the pizza industry. Int. J. Inf. Manage. 33, 464–472 (2013)
Ko, N., Jeong, B., Choi, S., Yoon, J.: Identifying product opportunities using social media mining: application of topic modeling and chance discovery theory. IEEE Access 6, 1680–1693 (2018)
Su, C.J., Chen, Y.A.: Social media analytics based product improvement framework. In: International Symposium on Computer, Consumer and Control, pp. 393–396. IEEE Computer Society, Xi’an (2016)
Mirbabaie, M., Stieglitz, S., Eiro, M.R.: #IronyOff – understanding the usage of irony on Twitter during a corporate crisis. In: Proceedings of the Pacific Asia Conference on Information Systems, p. 66. AIS, Langkawi (2017)
Stieglitz, S., Mirbabaie, M., Potthoff, T.: Crisis communication on Twitter during a global crisis of volkswagen - the case of “Dieselgate.” In: Proceedings of the Hawaii International Conference on System Sciences. AIS, Waikoloa (2018)
Melville, P., Sindhwani, V., Lawrence, R.D.: Social media analytics: channeling the power of the blogosphere for marketing insight. Proc. WIN 1, 1–5 (2009)
Oh, C., Yergeau, S., Woo, Y., Wurtsmith, B., Vaughn, S.: Is Twitter psychic? social media analytics and television ratings. In: Proceedings of the International Conference on Computing Technology and Information Management, pp. 150–155 (2015)
Pensa, R.G., Sapino, M.L., Schifanella, C., Vignaroli, L.: Leveraging cross-domain social media analytics to understand TV topics popularity. IEEE Comput. Intell. Mag. 11, 10–21 (2016)
Allcott, H., Gentzkow, M.: Social media and fake news in the 2016 election. J. Econ. Persp. 31, 211–236 (2017)
Xiang, Z., Du, Q., Ma, Y., Fan, W.: A comparative analysis of major online review platforms: implications for social media analytics in hospitality and tourism. Tourism Manage. 58, 51–65 (2017)
Aswani, R., Kar, A.K., Vigneswara Ilavarasan, P.: Detection of spammers in Twitter marketing: a hybrid approach using social media analytics and bio inspired computing. Inf. Syst. Frontiers 20, 515–530 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Liere-Netheler, K., Gilhaus, L., Vogelsang, K., Hoppe, U. (2019). A Literature Review on Application Areas of Social Media Analytics. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-20482-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-20482-2_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20481-5
Online ISBN: 978-3-030-20482-2
eBook Packages: Computer ScienceComputer Science (R0)