Examining the Communication Shared on X-Platform by Member Companies of a Social Impact Forética Cluster

Natalia Sanchez Arrieta
,
Antonio Cañabate
,
Ferran Sabate
398

Abstract

This paper aims to examine how companies in a cluster communicate their activities on X-platform (formerly Twitter). Three main tasks were considered in this study: 1) an analysis of Tweet (formerly tweet) level messages according to the subject matter posted; 2) an analysis of the messages at the tweet level in terms of the communication design; 3) an analysis of the affective connotation of the language used in each message. We examined a sample of tweets posted for one year by member companies of a Social Impact cluster. The results indicate that the cluster companies use X-platform (formerly Twitter) to communicate their corporate activities with a weekly frequency that ranges from 5 to 182 posts. The analysis of the messages shows that i) there is a predominance of posts referring to corporate products and services as opposed to corporate social responsibility; ii) companies post to create community; and, iii) graphic and audio-visual resources within the content of the posts are predominant. The results have both practical and academic implications, which can be used to develop strategies for companies to take advantage of the social networking site's capabilities or tools and develop plans for building strong relationships with their audience.


Authors

Natalia Sanchez Arrieta
Antonio Cañabate
Ferran Sabate

References

Ajayi, O. A., & Mmutle, T. (2021). Corporate reputation through strategic communication of corporate social responsibility. Corporate Communications: An International Journal, 26(5), 1-15. https://doi.org/10.1108/CCIJ-02-2020-0047

Bonsón, E., Bednarova, M., & Escobar-Rodríguez, T. (2014). Corporate YouTube practices of Eurozone companies. Online Information Review, 38(4), 484-501. https://doi.org/10.1108/OIR-07-2013-0181

Brown, T. J., & Dacin, P. A. (1997). The Company and the Product: Corporate Associations and Consumer Product Responses. Journal of Marketing, 61(1), 68. https://doi.org/10.2307/1252190

Brucks, M. S., & Levav, J. (2022). Virtual communication curbs creative idea generation. Nature, 605(7908), 108-112. https://doi.org/10.1038/s41586-022-04643-y

Carroll, A. B. (1991). The Pyramid of Corporate Social Responsibiiity: Toward the Moral Management of Organizational Stakeholders. Business Horizons, 34, 39-48. https://doi.org/10.1177/0312896211432941

Cvijikj, I. P., & Michahelles, F. (2013). Online engagement factors on Facebook brand pages. Social Network Analysis and Mining, 3(4), 843-861. https://doi.org/10.1007/s13278-013-0098-8

Dacin, P. A., & Brown, T. J. (2002). Corporate Identity and Corporate Associations: A Framework for Future Research. Corporate Reputation Review, 5(2-3), 254-263. https://doi.org/10.1057/palgrave.crr.1540178

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. https://doi.org/10.1016/j.intmar.2012.01.003

Dijkmans, C., Kerkhof, P., Buyukcan-Tetik, A., & Beukeboom, C. J. (2015). Online Conversation and Corporate Reputation: A Two-Wave Longitudinal Study on the Effects of Exposure to the Social Media Activities of a Highly Interactive Company. Journal of Computer-Mediated Communication, 20(6), 632-648. https://doi.org/10.1111/jcc4.12132

Dutot, V., Lacalle Galvez, E., & Versailles, D. W. (2016). CSR communications strategies through social media and influence on e-reputation. Management Decision, 54(2), 363-389. https://doi.org/10.1108/MD-01-2015-0015

Elbagir, S., & Yang, J. (2020). Sentiment Analysis on Twitter with Python's Natural Language Toolkit and VADER Sentiment Analyzer. IAENG Transactions on Engineering Sciences, 63-80. https://doi.org/10.1142/9789811215094_0005

Eriksson, M. (2018). Lessons for Crisis Communication on Social Media: A Systematic Review of What Research Tells the Practice. International Journal of Strategic Communication, 12(5), 526-551. https://doi.org/10.1080/1553118X.2018.1510405

Etter, M. (2014). Broadcasting, reacting, engaging - three strategies for CSR communication in Twitter. Journal of Communication Management, 18(4), 322-342. https://doi.org/10.1108/JCOM-01-2013-0007

Forética. (2023). Anual Report. https://foretica.org/en/2024/06/memoria-foretica-2023/

Forética. (2024). Social Impact Cluster. Social Impact Cluster- Participating Companies. Available at: https://foretica.org/proyectos-esg/social/cluster-de-impacto-social/

Hoffman, D. L., & Novak, T. P. (2012). Toward a Deeper Understanding of Social Media. Journal of Interactive Marketing, 26(2), 69-70. https://doi.org/10.1016/j.intmar.2012.03.001

Holtzhausen, D., Fullerton, J. A., Lewis, B. K., & Shipka, D. (2021). Introduction to the Theory of Strategic Communication. In Taylor & Francis (Ed.), Principles of Strategic Communication (1st ed., pp. 1-27). Routledge. https://doi.org/10.4324/9781003002048-1

Hutto, C., & Gilbert, E. (2014). VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text. Proceedings of the International AAAI Conference on Web and Social Media, 8(1), 216-225. https://doi.org/10.1609/icwsm.v8i1.14550

Illia, L., & Balmer, J. M. T. (2012). Corporate communication and corporate marketing. Corporate Communications: An International Journal, 17(4), 415-433. https://doi.org/10.1108/13563281211274121

Inoue, Y., & Kent, A. (2014). A Conceptual Framework for Understanding the Effects of Corporate Social Marketing on Consumer Behavior. Journal of Business Ethics, 121(4), 621-633. https://doi.org/10.1007/s10551-013-1742-y

Jansen, B. J., Zhang, M., Sobel, K., & Chowdury, A. (2009). Twitter power: Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology, 60(11), 2169-2188. https://doi.org/10.1002/asi.21149

Java, A., Song, X., Finin, T., & Tseng, B. (2007). Why we twitter. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, 56-65. https://doi.org/10.1145/1348549.1348556

Ji, Y. G., Chen, Z. F., Tao, W., & Cathy Li, Z. (2019). Functional and emotional traits of corporate social media message strategies: Behavioral insights from S&P 500 Facebook data. Public Relations Review, 45(1), 88-103. https://doi.org/10.1016/j.pubrev.2018.12.001

Kim, S. S. Y., Kim, S. S. Y., & Sung, K. H. (2014). Fortune 100 companies' Facebook strategies: Corporate ability versus social responsibility. Journal of Communication Management, 18(4), 343-362. https://doi.org/10.1108/JCOM-01-2012-0006

Landis, J. R., & Koch, G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1), 159. https://doi.org/10.2307/2529310

Lee, C., & Hallak, R. (2020). Investigating the effects of offline and online social capital on tourism SME performance: A mixed-methods study of New Zealand entrepreneurs. Tourism Management, 80, 104128. https://doi.org/10.1016/j.tourman.2020.104128

Lei, S. S. I., Pratt, S., & Wang, D. (2017). Factors influencing customer engagement with branded content in the social network sites of integrated resorts. Asia Pacific Journal of Tourism Research, 22(3), 316-328. https://doi.org/10.1080/10941665.2016.1250792

Liu, B. (2011). Web Data Mining. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-19460-3

Lovejoy, K., & Saxton, G. D. (2012). Information, Community, and Action: How Nonprofit Organizations Use Social Media. Journal of Computer-Mediated Communication, 17(3), 337-353. https://doi.org/10.1111/j.1083-6101.2012.01576.x

Luarn, P., Lin, Y.-F., & Chiu, Y.-P. (2015). Influence of Facebook brand-page posts on online engagement. Online Information Review. https://doi.org/10.1108/OIR-01-2015-0029

Menon, R. G. V., Sigurdsson, V., Larsen, N. M., Fagerstrøm, A., Sørensen, H., Marteinsdottir, H. G., & Foxall, G. R. (2019). How to grow brand post engagement on Facebook and Twitter for airlines? An empirical investigation of design and content factors. Journal of Air Transport Management, 79, 101678. https://doi.org/10.1016/j.jairtraman.2019.05.002

Mittal, R., Ahmed, W., Mittal, A., & Aggarwal, I. (2021). Twitter users' coping behaviors during the COVID-19 lockdown: an analysis of tweets using mixed methods. Information Discovery and Delivery, 49(3), 193-202. https://doi.org/10.1108/IDD-08-2020-0102

Naaman, M., Boase, J., & Lai, C.-H. (2010). Is it really about me?: message content in social awareness streams. Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work, 189-192. https://doi.org/10.1145/1718918.1718953

Nair, A. J., G, V., & Vinayak, A. (2021). Comparative study of Twitter Sentiment On COVID - 19 Tweets. 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 1773-1778. https://doi.org/10.1109/ICCMC51019.2021.9418320

Peters, K., Chen, Y., Kaplan, A. M., Ognibeni, B., & Pauwels, K. (2013). Social media metrics - A framework and guidelines for managing social media. Journal of Interactive Marketing, 27(4), 281-298. https://doi.org/10.1016/j.intmar.2013.09.007

Rutz, O. J., & Bucklin, R. E. (2011). From Generic to Branded: A Model of Spillover in Paid Search Advertising. Journal of Marketing Research, 48(1), 87-102. https://doi.org/10.1509/jmkr.48.1.87

Saxton, G. D., & Waters, R. D. (2014). What do Stakeholders Like on Facebook? Examining Public Reactions to Nonprofit Organizations' Informational, Promotional, and Community-Building Messages. Journal of Public Relations Research, 26(3), 280-299. https://doi.org/10.1080/1062726X.2014.908721

Sterbenk, Y., Champlin, S., Windels, K., & Shelton, S. (2022). Is Femvertising the New Greenwashing? Examining Corporate Commitment to Gender Equality. Journal of Business Ethics, 177(3), 491-505. https://doi.org/10.1007/s10551-021-04755-x

Sung, H., Kim, J., & Choi, H. (2021). Effects of consumer-cause fit and consumer-product fit of cause‐related marketing on product purchase intention. Journal of Consumer Behaviour, 20(3), 791-802. https://doi.org/10.1002/cb.1909

Swani, K., & Milne, G. R. (2017). Evaluating Facebook brand content popularity for service versus goods offerings. Journal of Business Research, 79, 123-133. https://doi.org/10.1016/j.jbusres.2017.06.003

Swani, K., Milne, G. R., Brown, B. P., Assaf, A. 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. https://doi.org/10.1016/j.indmarman.2016.07.006

Valentine, S., & Fleischman, G. (2007). Ethics Programs, Perceived Corporate Social Responsibility and Job Satisfaction. Journal of Business Ethics, 77(2), 159-172. https://doi.org/10.1016/j.indmarman.2016.07.006

Westerman, D., Spence, P. R., & Van Der Heide, B. (2014). Social Media as Information Source: Recency of Updates and Credibility of Information. Journal of Computer-Mediated Communication, 19(2), 171-183. https://doi.org/10.1111/jcc4.12041

Yuan, S. (2019). Comparative analysis of Chinese and Japanese corporate communication on Facebook and Twitter. Chinese Journal of Communication, 12(2), 224-243. https://doi.org/10.1080/17544750.2018.1528292

Zeler, I., & Capriotti, P. (2018). Gestión interactiva de la comunicación de la RSE de las empresas de Argentina en Facebook. Retos, 8(16), 7-18. https://doi.org/10.17163/ret.n16.2018.01

Zeler, I., Oliveira, A., & Triano Morales, R. (2022). Responsabilidad Social Corporativa y crisis sanitaria de la Covid-19: la comunicación de las empresas energéticas españolas en Twitter Corporate. Revista de Comunicación, 21(1), 451-468. https://doi.org/10.26441/RC21.1-2022-A23

Zhou, Z., Zhou, X., Chen, Y., & Qi, H. (2024). Evolution of online public opinions on major accidents: Implications for post-accident response based on social media network. Expert Systems with Applications, 235, 121307. https://doi.org/10.1016/j.eswa.2023.121307


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