One More Tweet: Firms Challenge a Sustainable Future


  • Marco Tregua University of Naples Federico II
  • Anna D'Auria University of Naples Federico II



sustainability, content analysis, Twitter, corporate communication, qualitative analysis


In the last decades, researchers have been provided with a huge amount of data thanks to the diffusion of online sources. Additionally, more companies are issuing reports and documents to share information with stakeholders about their sustainable approach to both strengthen and encourage people to adopt a similar approach. To support researchers in managing the increasing quantity of information, several tools have been provided for text mining studies, such as sentiment analysis, semantic analysis, and content analysis. We proposed to analyse the usefulness of automated and semi-automated techniques on a dataset composed of more than 875,000 tweets posted by the companies that Forbes (2020) considers to be the most sustainable. We chose to focus on sustainability because it is a topic of interest to the global community, as revealed by the significant amount of attention that companies are paying to it. In detail, we performed a double-step analysis: firstly, a comparison between exact words and stemmed words; secondly, a description of communication efforts and topics that firms opted for when dealing with sustainability. Our expected contribution is mainly methodological, as we provide suggestions regarding the advantages of performing the analysis in one of the two ways, while the research context offers insights into sustainability reporting.


Amini, M., Bienstock, C.C., and Narcum, J.A. (2018), “Status of Corporate Sustainability: A Content Analysis of Fortune 500 Companies”, Business Strategy and the Environment, 27 (8): 1450–1461.

Araujo, T., and Kollat, J. (2018), “Communicating effectively about CSR on Twitter. Internet Research, 28(2), 419–431.

Bakkalbasi, N., and Goertzen, M. (2014), “Scholarly E-Book across Disciplines: Content Analysis of Usage Reports and Search Terms”, CUNY Library Assessment Conference. Available online at (last accessed: February 20, 2020).

Barnett, A., and Leoffler, K. (1979), “Readability of Accounting and Auditing Messages”, The Journal of Business Communication (1973), 16 (3): 49–59.

Bekmeier-Feuerhahn, S., Bögel, P.M., and Koch, C. (2017), “Investigating Internal CSR Communication: Building a Theoretical Framework”, in S. Diehl et al. (eds), Handbook of Integrated CSR Communication, 89–107, Cham, Switzerland: Springer.

Berelson, B. (1952), Content Analysis in Communication Research, New York, NY: Free Press.

Bergman, M.M. (2010), “Hermeneutic Content Analysis: Textual and Audiovisual Analyses within a Mixed Methods Framework”, in A. Tashakkori and C. Teddlie (eds), SAGE Handbook of Mixed Methods in Social and Behavioural Research (2nd edn.), 385–394, Thousand Oaks, CA: SAGE.

Boon, S. (2017), “21st Century Science Overload”, CDN Science Pub. Available online at (last accessed: February 20, 2020).

Bornmann, L., and Mutz, R. (2015), “Growth Rates of Modern Science: A Bibliometric Analysis Based on the Number of Publications and Cited References”, Journal of the Association for Information Science and Technology, 66 (11): 2215–2222.

Descubes, I., McNamara, T., and Claasen, C. (2018), “E-Marketing Communications of Trophy Hunting Providers in Namibia: Evidence of Ethics and Fairness in an Apparently Unethical and Unfair Industry?”, Current Issues in Tourism, 21 (12): 1349–1354.

Evans, W. (1996), “Computer-Supported Content Analysis: Trends, Tools, and Techniques”, Social Science Computer Review, 14 (3): 269–279.

Forbes (2020), “The Most Sustainable Companies in 2019”, Forbes. Available online at (last accessed: February 20, 2020).

Ghiassi, M., and Lee, S. (2018), “A Domain Transferable Lexicon Set for Twitter Sentiment Analysis Using a Supervised Machine Learning Approach”, Expert Systems with Applications, 106: 197–216.

Gomez, L.M. (2020), “The State of Social Media Research in CSR Communication”, in D. Crowther and S. Seifi (eds), The Palgrave Handbook of Corporate Social Responsibility, 1–23, Cham, Switzerland: Springer.

Guo, Y., Barnes, S.J., and Jia, Q. (2017), “Mining Meaning from Online Ratings and Reviews: Tourist Satisfaction Analysis Using Latent Dirichlet Allocation”, Tourism Management, 59: 467–483.

Haar, J., and Kossack, S. (1990), “Employee Benefit Packages: How Understandable Are They?”, The Journal of Business Communication (1973), 27 (2): 185–200.

Holsti, O.R. (1969), Content Analysis for the Social Sciences and Humanities, Reading, MA: Addison-Wesley.

Jacobs, P.S. (1992), “TRUMP: A Transportable Language Understanding Program”, International Journal of Intelligent

Systems, 7 (3): 245–276.

Jacobs, P.S., and Rau, L.F. (1993), “Innovations in Text Interpretation”, Artificial Intelligence, 63 (1-2): 143–191.

Johnston, W.J., Leach, M.P., and Liu, A.H. (1999), “Theory Testing Using Case Studies in Business-to-Business Research”, Industrial Marketing Management, 28 (3): 201–213.

Jose, A., and Lee, S.M. (2007), “Environmental Reporting of Global Corporations: A Content Analysis Based on Website

Disclosures”, Journal of Business Ethics, 72 (4): 307–321.

Kohut, G.F., and Segars, A.H. (1992), “The President’s Letter to Stockholders: An Examination of Corporate Communication Strategy”, The Journal of Business Communication (1973), 29 (1): 7–21.

Krippendorff, K. (1980), “Validity in Content Analysis”, in E. Mochmann (ed.), Computerstrategien für die kommunikationsanalyse, 69–112, Frankfurt: Campus.

Krippendorff, K. (2004), “Reliability in Content Analysis: Some Common Misconceptions and Recommendations”, Human Communication Research, 30 (3): 411–433.

Krippendorff, K. (2008), “Systematic and Random Disagreement and the Reliability of Nominal Data”, Communication Methods and Measures, 2 (4): 323–338.

Landhuis, E. (2016), “Scientific Literature: Information Overload”, Nature, 535 (7612): 457–458.

Landrum, N. (2015), “Evolution of corporate sustainability along the sustainability spectrum. Poster presented at the Loyola University Chicago Climate Change Conference, Chicago, IL (Vol. 20). Available online at (last accessed: February 20, 2020).

Landrum, N.E., and Ohsowski, B. (2018), “Identifying Worldviews on Corporate Sustainability: A Content Analysis of Corporate Sustainability Reports”, Business Strategy and the Environment, 27 (1): 128–151.

Larsen, P., and Von Ins, M. (2010), “The Rate of Growth in Scientific Publication and the Decline in Coverage Provided by Science Citation Index”, Scientometrics, 84 (3): 575–603.

Mamic, L.I., and Almaraz, I.A. (2013), “How the Larger Corporations Engage with Stakeholders through Twitter”, International Journal of Market Research, 55 (6): 851–872.

Mani, V., Gunasekaran, A., and Delgado, C. (2018), “Supply Chain Social Sustainability: Standard Adoption Practices in Portuguese Manufacturing Firms”, International Journal of Production Economics, 198: 149–164.

McMillan, S.J. (2000), “The Microscope and the Moving Target: The Challenge of Applying Content Analysis to the World Wide Web”, Journalism & Mass Communication Quarterly, 77 (1): 80–98.

Mikut, R., and Reischl, M. (2011), “Data Mining Tools”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 1 (5): 431–443.

Miller, A.H., and Howard, A. (2019), “Tax Strategies Employed by Overseas American Individuals and SMEs”, The Journal of Social Sciences Research, 5 (3): 690–699.

Moro, S., Pires, G., Rita, P., and Cortez, P. (2019), “A Text Mining and Topic Modelling Perspective of Ethnic Marketing Research”, Journal of Business Research, 103: 275–285.

Navigli, R., and Martelli, F. (2019), “An Overview of Word and Sense Similarity”, Natural Language Engineering, 25 (6): 693–714.

Neuendorf, K.A. (2016), The Content Analysis Guidebook, Thousand Oaks, CA: Sage.

Paulus, T., Woods, M., Atkins, D.P., and Macklin, R. (2017), “The Discourse of QDAS: Reporting Practices of ATLAS.ti and NVivo Users with Implications for Best Practices”, International Journal of Social Research Methodology, 20 (1): 35–47.

Raut, R., and Nathe, A. (2015), “Comparative Study of Commercial Data Mining Tools. International Journal of Electronics”, Communication and Soft Computing Science & Engineering (IJECSCSE), 8: 128–132.

Reilly, A.H., and Hynan, K.A. (2014), “Corporate Communication, Sustainability, and Social Media: It’s Not Easy (Really) Being Green”, Business Horizons, 57 (6): 747–758.

Scharkow, M. (2017), “Content Analysis, Automatic”, in J. Matthes et al. (eds), The International Encyclopedia of Communication Research Methods, 1–14, Hoboken, NJ: John Wiley & Sons.

Statista (2019, October 28), “How Many Websites Are There?” [Blog entry], Statista. Available online at (last accessed: February 20, 2020).

Swani, K., Brown, B.P., and Milne, G.R. (2014), “Should Tweets Differ for B2B and B2C? An Analysis of Fortune 500 Companies’ Twitter Communications”, Industrial Marketing Management, 43 (5): 873–881.

Toldo, L. (2013), “Text Mining Fundamentals”, in J. Liebowitz (ed.), Business Analytics: An Introduction, 149–180, Boca Raton, FL: CRC Press.

Tsalis, T.A., Malamateniou, K.E., Koulouriotis, D., and Nikolaou, I.E. (2020), “New Challenges for Corporate Sustainability Reporting: United Nations’ 2030 Agenda for Sustainable Development and the Sustainable Development Goals”, Corporate Social Responsibility and Environmental Management, 27 (4): 1617–1629.

Vijayarani, S., and Janani, R. (2016), “Text Mining: Open Source Tokenization Tools – An Analysis”, Advanced Computational Intelligence: An International Journal (ACII), 3 (1): 37–47.

Ware, M., and Mabe, M. (2015), The STM Report: An Overview of Scientific and Scholarly Journal Publishing, The Hague, Netherlands: International Association of Scientific, Technical and Medical Publishers.

Werder, K.P., Nothhaft, H., Verčič, D., and Zerfass, A. (2018), “Strategic Communication as an Emerging Interdisciplinary Paradigm”, International Journal of Strategic Communication, 12 (4): 333–351.




How to Cite

Tregua, M., & D’Auria, A. (2020). One More Tweet: Firms Challenge a Sustainable Future. PuntOorg International Journal, 5(2), 201–219.