Beyond the number of followers

Measuring social media resonance based on direct interactions

Authors

DOI:

https://doi.org/10.62161/revvisual.v16.5260

Keywords:

Social Media, Social Influence, Mass Communication, Communication impact, Persuasion

Abstract

In the context of the digital attention economy, the following analysis introduces SlimScore, a method for assessing the resonance of content on social networks, focusing on direct interactions. To test the effectiveness of the tool, a study is carried out focusing on the social network X, based on a sample of 345,000 messages from more than 17,000 nodes (profiles). Through a comparative analysis with the Ayzenberg Social Index metric, it is shown how this approach provides more accurate results in measuring the virality of messages on social networks.

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References

Ahuja, V. (2012). Market Influence Analytics in a Digital Ecosystem. International Journal of Online Marketing (IJOM), 2(4), 42-53. https://doi.org/10.4018/ijom.2012100103 DOI: https://doi.org/10.4018/ijom.2012100103

Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211-236. https://doi.org/10.1257/jep.31.2.211 DOI: https://doi.org/10.1257/jep.31.2.211

Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, P. K. (2010). Measuring user influence in Twitter: The million follower fallacy. In ICWSM. https://doi.org/10.1609/icwsm.v4i1.14033 DOI: https://doi.org/10.1609/icwsm.v4i1.14033

Chung, N., & Koo, C. (2015). The use of social media in travel information search. Telematics and Informatics, 32(2), 215-229. https://doi.org/10.1016/j.tele.2014.08.005 DOI: https://doi.org/10.1016/j.tele.2014.08.005

Cialdini, R. B. (2001). Influence: Science and practice (4th ed.). Allyn & Bacon.

Culnan, M. J., McHugh, P. J., & Zubillaga, J. I. (2010). How large U.S. companies can use Twitter and other social media to gain business value. MIS Quarterly Executive, 9(4), 243-259.

Dwyer, P. (2007). Measuring the value of electronic word of mouth and its impact in consumer communities. Journal of Interactive marketing, 21(2), 63-79. https://doi.org/10.1002/dir.20078 DOI: https://doi.org/10.1002/dir.20078

Ferrara, E., Varol, O., Davis, C., Menczer, F., & Flammini, A. (2016). The rise of social bots. Communications of the ACM, 59(7), 96-104. https://doi.org/10.1145/2818717 DOI: https://doi.org/10.1145/2818717

Flynn, D. J., Nyhan, B., & Reifler, J. (2017). The nature and origins of misperceptions: Understanding false and unsupported beliefs about politics. Political Psychology, 38(S1), 127-150. https://doi.org/10.1111/pops.12394 DOI: https://doi.org/10.1111/pops.12394

Gladwell, M. (2000). The tipping point: How little things can make a big difference. Little, Brown.

Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360-1380. https://www.jstor.org/stable/2776392 DOI: https://doi.org/10.1086/225469

Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2010). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38-52. https://doi.org/10.1002/dir.10073 DOI: https://doi.org/10.1002/dir.10073

Hoffman, D. L., & Fodor, M. (2010, October 1). Can You Measure the ROI of Your Social Media Marketing? MIT Sloan Management Review. https://sloanreview.mit.edu/article/can-you-measure-the-roi-of-your-social-media-marketing/

Jenkins, H., Ford, S., & Green, J. (2013). Spreadable media: Creating value and meaning in a networked culture. NYU Press. https://www.jstor.org/stable/j.ctt9qfk6w

Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68. https://doi.org/10.1016/j.bushor.2009.09.003 DOI: https://doi.org/10.1016/j.bushor.2009.09.003

Katz, E., & Lazarsfeld, P. F. (1955). Personal influence: The part played by people in the flow of mass communications. Transaction Publishers. https://doi.org/10.1007/978-3-658-21742-6_67 DOI: https://doi.org/10.1007/978-3-658-21742-6_67

Lamirán, J. M. (2022). La influencia en redes sociales durante los eventos deportivos:" Los casos de Twitter en los Mundiales de Ciclismo en Pista de Londres (Reino Unido) 2016, y Apeldoorn (Países Bajos) 2018" (Doctoral dissertation, Universitat Politècnica de València). https://doi.org/10.4995/Thesis/10251/190811 DOI: https://doi.org/10.4995/Thesis/10251/190811

Lazer, D., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., ... & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094-1096. https://doi.org/10.1126/science.aao2998 DOI: https://doi.org/10.1126/science.aao2998

Lovett, M. J., & Staelin, R. (2016). The role of paid, earned, and owned media in building entertainment brands: Reminding, informing, and enhancing enjoyment. Marketing Science, 35(1), 142-157. https://doi.org/10.1287/mksc.2015.0961 DOI: https://doi.org/10.1287/mksc.2015.0961

Manthiou, A., Rokka, J., Godey, B., & Tang, L. (2016). How social media marketing efforts influence brand equity creation and its consequences: the case of luxury brands. In Let’s Get Engaged! Crossing the Threshold of Marketing’s Engagement Era: Proceedings of the 2014 Academy of Marketing Science (AMS) Annual Conference (pp. 561-561). Springer International Publishing. https://doi.org/10.1007/978-3-319-11815-4_169 DOI: https://doi.org/10.1007/978-3-319-11815-4_169

McQuail, D. (2010). McQuail's mass communication theory (6th ed.). SAGE Publications.

Milner, R. M. (2013). FCJ-156 Hacking the social: Internet memes, identity antagonism, and the logic of lulz. The Fibreculture Journal, 22(22), 62-92.

Pariser, E. (2011). The filter bubble: What the Internet is hiding from you. Penguin UK. DOI: https://doi.org/10.3139/9783446431164

Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 19, pp. 123–205). Academic Press. https://doi.org/10.1016/S0065-2601(08)60214-2 DOI: https://doi.org/10.1016/S0065-2601(08)60214-2

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Slater, M. D. (2007). Reinforcing spirals: The mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Communication Theory, 17(3), 281-303. https://doi.org/10.1111/j.1468-2885.2007.00296.x DOI: https://doi.org/10.1111/j.1468-2885.2007.00296.x

Sunstein, C. R. (2017). #Republic: Divided democracy in the age of social media. Princeton University Press. DOI: https://doi.org/10.1515/9781400884711

Tufekci, Z. (2017). Twitter and tear gas: The power and fragility of networked protest. Yale University Press.

Woolley, S. C., & Howard, P. N. (2018). Computational propaganda: Political parties, politicians, and political manipulation on social media. Oxford University Press. https://doi.org/10.1093/oso/9780190931407.001.0001 DOI: https://doi.org/10.1093/oso/9780190931407.001.0001

Published

2024-05-09

How to Cite

García Ull, F. J., Lamirán Palomares, J. M., & Broseta Dupre, B. (2024). Beyond the number of followers: Measuring social media resonance based on direct interactions. VISUAL REVIEW. International Visual Culture Review Revista Internacional De Cultura Visual, 16(3), 239–250. https://doi.org/10.62161/revvisual.v16.5260