A Systematic Literature Review of Predictors of Social Media Popularity

Authors

  • Joshua Woods West Virginia University, United States

DOI:

https://doi.org/10.33621/jdsr.v5i4.181

Keywords:

Influencer marketing, social media influencers, popularity, engagement, social status

Abstract

A growing area of research has examined the individual behaviors and social antecedents that enable and constrain the popularity of social media users. This systematic review gathers and summarizes 68 naturalistic studies that measure popularity based on users’ reach (e.g., followers, fans and subscribers) or engagement (e.g., likes, comments and shares) on multiple platforms. It draws on Barnlund’s (2008) transactional model of communication to organize the literature and provides a roadmap for future research by identifying areas of the research that are characterized by consensus and disagreement. It also reveals a gap in the literature. Previous research focuses on communication strategies that maximize reach and engagement and provides less evidence of social structural influences on popularity. More research is needed to understand how the social, economic, and cultural characteristics of users affect their success

References

Abidin, C. (2015). Communicative intimacies: Influencers and perceived interconnectedness. Ada: A Journal of Gender, New Media, & Technology, 8, 1–18.

Arriagada, A., & Bishop, S. (2021). Between commerciality and authenticity: the imaginary of social media influencers in the platform economy. Communication, Culture and Critique, 14(4), 568–586.

Ashley, C., & Tuten, T. (2015). Creative strategies in social media marketing: an exploratory study of branded social content and consumer engagement. Psychology & Marketing, 32(1), 15-27.

Bakshy, E., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011). Everyone’s an influencer: quantifying influence on twitter. Proceedings of the fourth ACM international conference on Web search and data mining, February 2011, 65–74.

Banerjee, S., & Chua, A. Y. K. (2019). Identifying the antecedents of posts’ popularity on Facebook fan pages. Journal of Brand Management, 26(6), 621–33.

Barnlund, D. (1968). Communication: The Context of Change. In Perspectives on Communication, pp. 24-40, edited by C.E. Larson and F.E.X. Dance. Madison, Wisconsin: Helix Press.

Barnlund, D. (2008). A transactional model of communication. In Communication theory, pp. 47-57, edited by C. David Mortensen. Routledge.

Brech, F. M., Messer, U., Vander Schee, B. A., Rauschnabel, P.A., & Ivens, B. S. (2017). Engaging fans and the community in social media: Interaction with institutions of higher education on Facebook. Journal of Marketing for Higher Education, 27(1), 112–30.

Briones, R., Nan, X., Madden, K., & Waks, L. (2012). When vaccines go viral: An analysis of HPV vaccine coverage on YouTube. Health Communication, 27, 478–485.

Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010). Measuring user influence in Twitter: The million follower fallacy. Proceedings of the International AAAI Conference on Web and Social Media, 4(1), 10-17.

Choi, S. (2014). Flow, diversity, form, and influence of political talk in social-media-based public forums. Human Communication Research, 40, 209–237.

Costello, J., & Urbanska, K. M. (2021). “Hope this is not sponsored” – Is an influencer’s credibility impacted when using sponsored versus nonsponsored content? In Yesiloglu, Sevil and Joyce Costello, eds. Influencer Marketing: Building Brand Communities and Engagement. Abingdon, Oxon: Routledge.

Coursaris, C. K., van Osch, W., & Balogh, B. A. (2016). Informing brand messaging strategies via social media analytics. Online Information Review, 40(1), 6–24.

Cvijikj, I.P., Spiegler, E.D., & Michahelles, F. (2011), The effect of post type, category and posting day on user interaction level on facebook, Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third International Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference, IEEE, pp. 810-813.

Cvijikj, P., & Michahelles, F. (2013). Online engagement factors on Facebook brand pages. Social Network Analysis and Mining, 3(4):843–61.

Dae-Hee, K., Spiller, L., & Hettche, M. (2015). Analyzing media types and content orientations in Facebook for global brands: An international journal. Journal of Research in Interactive Marketing, 9(1):4-30.

de Vries, L. Gensler, S., & Leeflang, P. S. H. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2): 83-91.

Delbaere, M., Michael, B., & Phillips, B. J. (2021). Social media influencers: A route to brand engagement for their followers. Psychology & Marketing, 38(1), 101–112.

Duffy, B. E. (2017). (Not) getting paid to do what you love: Gender, social media, and aspirational work. Yale University Press.

Eysenbach, G., Brainin, E., Neter, E., Spanjers, K., Kayser, L., Paige, S. R., Stellefson, M., Krieger, J. L., Anderson-Lewis, C., Cheong, J. W., & Stopka, C. (2018). Proposing a transactional model of ehealth literacy: concept analysis. Journal of Medical Internet Research, 20(10).

Ferrara, E., & Yang, Z. (2015). Quantifying the effect of sentiment on information diffusion in social media. PeerJ Computer Science, 1:e26.

García, M. E., Lavesson, N., & Doroud, M. (2016). Hashtags and followers: An experimental study of the online social network Twitter. Social Network Analysis and Mining 6(1):1–15.

Gass, R. H., & Seiter, J. S. (2022). Persuasion: Social influence and compliance gaining (Seventh). Routledge.

Goffman, E. (1973). The presentation of self in everyday life. Overlook Press.

Gouldner, A.W. (1970). The Coming Crisis of Western Sociology. London: Heinemann.

Gruzd, A., Doiron, S., & Mai, P. (2011). Is happiness contagious online? A case of Twitter and the 2010 Winter Olympics. In: Proceedings of the 44th Hawaii international conference on system sciences (HICSS’11), pp 1–9.

Hampton, K. N. (2023). Disciplinary brakes on the sociology of digital media: The incongruity of communication and the sociological imagination. Information, Communication & Society, 26(5), 881-890.

Hansen, L., Arvidsson, A., Nielsen, F., Colleoni, E., & Etter, M. (2011). Good friends, bad news-affect and virality in Twitter. Future Information Technology, 185:34–43.

Hochschild, A. R. (1979). Emotion work, feeling rules, and social structure. American Journal of Sociology, 85(3):551–75.

Hochschild, A. R. (1983). The managed heart: The commercialization of human feeling. Berkeley: University of California Press.

Hong, L., Dan, O., & Davison, B. (2011b). Predicting popular messages in Twitter. In: Proceedings of the 20th international conference on world wide web (WWW’11), pp 57–58.

Hopkins, J. L. (2013). Engaging Australian rules football fans with social media: A case study. International Journal of Sport Management and Marketing, 13(1-2):104–21.

Hudders, L., De Jans, S., & De Veirman, M. (2021). The Commercialization of Social Media Stars: A Literature Review and Conceptual Framework on the Strategic Use of Social Media Influencers. International Journal of Advertising, 40(3):327–75.

Huertas, A., & Marine-Roig, E. (2016). User reactions to destination brand contents in social media. Information Technology & Tourism, 15(4):291-315.

Hutto, C.J, Yardi, S., & Gilbert, E. (2013). Proceedings of the Sigchi Conference on Human Factors in Computing Systems. Essay. In A Longitudinal Study of Follow Predictors on Twitter, 821–30.

Jain, P., Zaher, Z., & Mazid, I. (2020). Opioids on Twitter: A content analysis of conversations regarding prescription drugs on social media and implications for message design. Journal of Health Communication, 25(1):74–81.

Jensen, J. A., Ervin, S. M., & Dittmore, S.W. (2014). Exploring the factors affecting popularity in social media: A case study of football bowl subdivision head coaches. International Journal of Sport Communication, 7(2):261–78.

Khan, I., Han, D., & Wahab, A. (2016). Does culture matter in effectiveness of social media marketing strategy? An investigation of brand fan pages. Aslib Journal of Information Management, 68(6):694–715.

Kim, E., Hou, J., Han, J. Y., & Himelboim, I. (2016). Predicting retweeting behavior on breast cancer social networks: Network and content characteristics. Journal of Health Communication, 21(4):479–86.

Kivran-Swaine, F., & Naaman, M. (2011). ACM 2011 Conference on Computer Supported Cooperative Work, CSCW 2011 Hangzhou, CHN 2011 03 19 - 2011 03 23. 2011. Network Properties and Social Sharing of Emotions in Social Awareness Streams. Proceedings of the Acm Conference on Computer Supported Cooperative Work, Cscw 379-382:379–82.

Kwok, L., & Yu, B. (2013). Spreading social media messages on Facebook: An analysis of restaurant business-to-consumer communications. Cornell Hospitality Quarterly, 54(1):84–84.

Lampe, C., Ellison, N., & Steinfield, C. (2007). A familiar face(book): profile elements as signals in an online social network. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, April, 435–444, https://doi.org/10.1145/1240624.1240695.

Lee, M. T., & Theokary, C. (2021). The superstar social media influencer: Exploiting linguistic style and emotional contagion over content? Journal of Business Research, 132, 860-871.

Lim, C. C. W., Leung, J., Sun, T., Gartner, C., Connor, J., Hall, W., Chiu, V., Tisdale, C., Stjepanovi?, D., & Chan, G. (2021). Content analysis of cannabis vaping videos on youtube. Addiction, 116(9), 2443–2453. https://doi.org/10.1111/add.15424

Liu, Z., Liu, L., & Li, H. (2012). Determinants of information retweeting in microblogging. Internet Research, 22(4):443–66.

Luarn, P., Lin, Y.-F. & Chiu, Y.-P. (2015), Influence of Facebook brand-page posts on online engagement. Online Information Review, Vol. 39 No. 4, pp. 505-519.

Luo, Z., Osborne, M., Tang, J., & Wang, T. (2013). Who will retweet me? Finding retweeters in Twitter. In Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 869–872). New York, NY: Association for Computing Machinery.

MacKay, M., Ford, C., Colangeli, T., Gillis, D., McWhirter, J. E., & Papadopoulos, A. (2022). A content analysis of canadian influencer crisis messages on instagram and the public's response during covid-19. Bmc Public Health, 22(1), 763–763. https://doi.org/10.1186/s12889-022-13129-5

Mäkinen, K. (2021). Resilience and vulnerability: Emotional and affective labour in mom blogging. New Media & Society, 23(10), 2964–2978.

Mainka, A., Hartmann, S., Stock, W.G., & Peters, I. (2015). Looking for friends and followers: A global investigation of governmental social media use. Transforming Government: People, Process and Policy, 9(2):237–54.

Meng, J., Peng, W., Tan, P.-N., Liu, W., Cheng, Y., & Bae, A. (2018). Diffusion size and structural virality: The effects of message and network features on spreading health information on Twitter. Computers in Human Behavior, 89, 111–120.

Merton, R. K. (1968). The Matthew effect in science. Science, 159 (3810): 56–63.

Naveed, N., Gottron, T., Kunegis, J., & Alhadi, A. (2011). Bad news travel fast: A content-based analysis of interestingness on Twitter. In: Proceedings of the ACM web science conference 2011 (WebSci’11), pp 1–7.

Neal, M. (2018). Instagram influencers: The effects of brand ambassadorship on source credibility and brand perceptions. Conference Papers -- International Communication Association, 1–29.

Nesi, P., Pantaleo, G., Paoli, I., & Zaza, I. (2018). Assessing the retweet proneness of tweets: Predictive models for retweeting. Multimedia Tools and Applications, 1-26:1–26.

Pérez, C. (2020). Trend towards extreme right-wing populism on Twitter. An analysis of the influence on leaders, media and users. Communication & Society, 33(2), pp. 175–192.

Pérez, L. (2013). What drives the number of new Twitter followers? An economic note and a case study of professional soccer teams. Economic Bulletin, 33, 1941–1947.

Pezzoni, F., An, J., Passarella, A., Crowcroft, J., & Conti, M. (2013). Why do I retweet it? An information propagation model for microblogs. Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8238. Springer, Cham.

Piehler, R., Schade, M., Sinnig, J. & Burmann, C. (2021). Traditional or ‘instafamous’ celebrity? Role of origin of fame in social media influencer marketing. Journal of Strategic Marketing, DOI: 10.1080/0965254X.2021.1909107

Raun, T. (2018). Capitalizing intimacy: new subcultural forms of micro-celebrity strategies and affective labour on youtube. Convergence, 24(1), 99–113.

Rodríguez-Vidal, J., Gonzalo, J., & Plaza, L. (2020). Detecting influencers in social media using information from their followers. Procesamiento del Lenguaje Natural, 64: 21–28.

Scelles, N., Helleu, B., Durand, C., Bonnal, L., & Morrow, S. (2017). Explaining the number of social media fans for North American and European professional sports clubs with determinants of their financial value. International Journal of Financial Studies, 5(4): 25.

Schwartz, J., & Grimm, J. (2017). Prep on Twitter: Information, barriers, and stigma. Health Communication, 32(4):509–16.

Shaozhi, W. U. (2020). An empirical research on social media marketing and consumer responses: Leveraging the power of online opinion leaders. The Kyoto Economic Review, 87(182/182):34–63.

Shi, J., Lai, K.K., Hu, P., & Chen, G. (2018). Factors dominating individual information disseminating behavior on social networking sites. Information Technology and Management, 19(2):121–39.

Stephen, A. T., & Galak, J. (2012). The effects of traditional and social earned media on sales: A study of a microlending marketplace. Journal of Marketing Research, 49(5): 624–39.

Stieglitz, S., & Dang-Xuan, L. (2013). Emotions and information diffusion in social media—Sentiment of microblogs and sharing behavior. Journal of Management Information Systems, 29:4, 217-248.

Suh, B., Hong, L., Pirolli, P., & Chi, E. H. (2010). Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network, 2010 IEEE Second International Conference on Social Computing, Social Computing (SocialCom), 2010 IEEE Second International Conference on, pp. 177–184.

Sui, W., Morava, A., Tsang, J., Sui, A., & Rhodes, R. E. (2022). Describing the use of behavior change techniques among the most popular home workout channels on Youtube: A quantitative content analysis. Journal of Health Psychology, 27(13):2951–2963. 13591053221074584:13591053221074584–84.

Sundermann, G., & Raabe, T. (2019). Strategic communication through social media influencers: Current state of research and desiderata. International Journal of Strategic Communication, 13(4):278–300.

Swani, K., Milne, G. R., Brown, B. P., Assaf, G., & Donthu, N. (2017). What messages to post? Evaluating the popularity of social media communications in business versus consumer markets. Industrial Marketing Management, 62:77–87.

Tsugawa, S., & Ohsaki, H. (2017). On the relation between message sentiment and its virality on social media. Social Network Analysis and Mining, 7(1):1–14.

Valsesia, F., Proserpio, D., & Nunes, J. C. (2020). The positive effect of not following others on social media. Journal of Marketing Research, 57(6): 1152–1168.

Vrontis, D., Makrides, A., Christofi, M., & Thrassou, A. (2021). Social media influencer marketing: A systematic review, integrative framework and future research agenda. International Journal of Consumer Studies, 45(4), 617–44.

Wang, X., Chen, L., Shi, J., & Peng, T-Q. (2019). What makes cancer information viral on social media? Computers in Human Behavior, 93:149–56.

Wang, Y-C., & Kraut, R. (2012). Proceedings of the Sigchi Conference on Human Factors in Computing Systems. Pp. 1515–18 in Twitter and the Development of an Audience Those Who Stay on Topic Thrive!

Wang, Z., Liu, H., Liu, W., & Wang, S. (2020). Understanding the power of opinion leaders’ influence on the diffusion process of popular mobile games: Travel Frog on Sina Weibo. Computers in Human Behavior, 109.

Watanabe, N., Yan, G., Soebbing, B. P., & Pegoraro, A. (2017). Is there economic discrimination on sport social media? An analysis of major league baseball. Journal of Sport Management, 31(4):374–86.

Watanabe, N., Yan, G., & Soebbing, B. P. (2015). Major league baseball and Twitter usage: The economics of social media use. Journal of Sport Management, 29(6):619–32.

Watanabe, N., Yan, G., & Soebbing, B. P. (2016). Consumer interest in major league baseball: An analytical modeling of Twitter. Journal of Sport Management, 30(2):207–20.

Xu, Z., & Yang, Q. (2012). 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining Istanbul Turkey 26 August 2012 - 29 August 2012. 2012. 2012 Ieee/Acm International Conference on Advances in Social Networks Analysis and Mining. Pp. 46–50 in Analyzing User Retweet Behavior on Twitter.

Ye, G., Hudders, L., De Jans, S., & De Veirman, M. (2021). The value of influencer marketing for business: a bibliometric analysis and managerial implications. Journal of Advertising, 50(2), 160–178.

Yesiloglu, S., & Waskiw, W. (2021). Can you make the world more sustainable with influencers? (pp.136-158). In Yesiloglu, Sevil and Joyce Costello, eds. Influencer Marketing: Building Brand Communities and Engagement. Abingdon, Oxon: Routledge.

Zaman, T., Herbrich, R., Gael, J., & Stern, D. (2010). Predicting information spreading in Twitter. In Workshop on Computational Social Science and the Wisdom of Crowds, NIPS 2010 (pp. 17599–17601). Cambridge, MA: MIT Press.

Zeren, D., & Gökda?l?, N. (2020). Influencer versus celebrity endorser performance on Instagram. Pp. 695–704 Edited by Zeren, Deniz, Gökda?l? Nilüfer, and Kavoura, Androniki. Strategic Innovative Marketing and Tourism, Cham, England: Springer International Publishing.

Zhang, L., & Peng, T-Q. (2015). Breadth, depth, and speed: Diffusion of advertising messages on microblogging sites. Internet Research, 25(3):453–70.

Zou, W., Zhang, W. J., & Tang, L. (2021). What do social media influencers say about health? A theory-driven content analysis of top ten health influencers’ posts on Sina Weibo. Journal of Health Communication, 26(1), 1–11.

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2023-12-03

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