Determinants of social organizational credibility: Towards a formal conceptualization

Yolandi Botha 1 *
More Detail
1 University of South Africa, Pretoria, SOUTH AFRICA
* Corresponding Author
Online Journal of Communication and Media Technologies, Volume 13, Issue 3, Article No: e202329. https://doi.org/10.30935/ojcmt/13218
OPEN ACCESS   717 Views   836 Downloads   Published online: 25 Apr 2023
Download Full Text (PDF)

ABSTRACT

Organizational credibility is an important component of organizational survival. The need to build and maintain organizational credibility in the social media context is specifically significant, largely due to the popularity of the medium in the current interactive communication environment. Social media, however, create a challenging environment for accurate information consumption, because it excludes the journalistic gatekeeper, are subject to misinformation and allow for information proliferation by both official and nonofficial users. For organizations to enhance their credibility in the social media context, it is important, firstly, to determine what constitutes social organization credibility. To establish an enhanced understanding of social organizational credibility and to build towards a formal conceptualization, this article quantitatively explored the preliminary identified determinants of social organizational credibility among active social media users. An exploratory factor analysis indicated that social organizational credibility consists of the determinants of trustworthiness, qualified resonance, homophily, personable interaction, informed conversation, and apt social word-of-mouth. Furthermore, the results also highlighted that an organization’s connections (including social media influencers and experts) are also a key determinant of social organizational credibility. This research provides guidance as to how social media users assess an organization’s credibility in the social media context, which could help alleviate the misinformation stigma that is associated with social media as an interactive communication platform. The identified determinants and the conceptualization of social organizational credibility extend existing organizational credibility literature and provide organizations with much needed guidelines to enhance their credibility in the social media context.

CITATION

Botha, Y. (2023). Determinants of social organizational credibility: Towards a formal conceptualization. Online Journal of Communication and Media Technologies, 13(3), e202329. https://doi.org/10.30935/ojcmt/13218

REFERENCES

  • Amazeen, M. A., Vargo, C. J., & Hopp, T. (2018). Reinforcing attitudes in a gatewatching news era: Individual-level antecedents to sharing fact-checks on social media. Communication Monographs, 86(1), 112-132. https://doi.org/10.1080/03637751.2018.1521984
  • Asikainen, A., Iñiguez, G., Ureña-Carrión, J., Kaski, K., & Kivelä, M. (2020). Cumulative effects of triadic closure and homophily in social networks. Science Advances, 6(19):eaax7310. https://doi.org/10.1126/sciadv.aax7310
  • Barnhart, B. (2022). Social media demographics to inform your brand’s strategy in 2022. https://sproutsocial.com/insights/new-social-media-demographics/
  • Berlo, D. K., Lemert, J. B., & Mertz, R. J. (1970). Dimensions for evaluating the acceptability of message sources. Public Opinion Quarterly, 33(4), 563-576. https://doi.org/10.1086/267745
  • Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
  • Bode, L., Vraga, E. K., & Tully, M. (2021). Correcting misperceptions about genetically modified food on social media: Examining the impact of experts, social media heuristics, and the gateway belief model. Science Communication, 43(2), 225-251. https://doi.org/10.1177/1075547020981375
  • Bone, J. E., Griffin, C. L. & Scholz, T. M. L. (2008). Beyond traditional conceptualizations of rhetoric: Invitational rhetoric and a move toward civility. Western Journal of Communication, 72(4), 434-462. https://doi.org/10.1080/10570310802446098
  • Bosch. T. (2017). What are social media? Introductory definitions. In P. Fourie (Ed.), Media studies: Social (new) media and mediated communication today (pp. 40-58).
  • Chon, M., & Kim, S. (2022). Dealing with the COVID-19 crisis: Theoretical application of social media analytics in government crisis management. Public Relations Review, 48(102201), 1-10. https://doi.org/10.1016/j.pubrev.2022.102201
  • Clark, T., Foster, L., Sloan, L., & Bryman, A. (2021). Bryman’s social research methods. Oxford University Press.
  • Cornelissen, J. (2020). Corporate communication: A guide to theory and practice. SAGE.
  • Coursaris, C. K., & Van Osch, W. (2016). Beauty brands versus vloggers: Exploring the effects of source credibility on information adoption on YouTube. AIS Electronic Library. https://doi.org/10.1007/978-3-319-39396-4_2
  • Creswell, J. W., & Creswell, J. D. (2022). Research design: Qualitative, quantitative and mixed methods approaches. SAGE.
  • Dedeoglu, B. B. (2018). Are information quality and source credibility really important for shared content on social media? International Journal of Contemporary Hospitality Management, 31(1), 513-534. https://doi.org/10.1108/IJCHM-10-2017-0691
  • Edwards, C., Stoll, B., Faculak, N., & Karman, S. 2015. Social presence on LinkedIn: Perceived credibility and interpersonal attractiveness based on user profile picture. Online Journal of Communication and Media Technologies, 5(4), 102-115. https://doi.org/10.29333/ojcmt/2528
  • Enke, N., & Borchers, N. S. (2019). Social media influencers in strategic communication: A conceptual framework for strategic social media influencer communication. International Journal of Strategic Communication, 13(4), 261-277. https://doi.org/10.1080/1553118X.2019.1634075
  • Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47-55. https://doi.org/10.1016/j.chb.2016.03.003
  • Foss, S. K., & Griffin, C. L. (1995). Beyond persuasion: A proposal for an invitational rhetoric. Communication Monographs, 62, 2-18. https://doi.org/10.1080/03637759509376345
  • Haataja, M., Laajalahti, A., & Hyvärinen, J. (2016). Expert views on current and future use of social media among crisis and emergency management organizations. Incentives and barriers. Human Technology, 12(2), 135-164. https://doi.org/10.17011/ht/urn.201611174653
  • Haig, B. D. (2018). The philosophy of quantitative methods: Understanding statistics. Oxford University Press. https://doi.org/10.1093/oso/9780190222055.001.0001
  • Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2018). Multivariate data analysis. Prentice-Hall.
  • Hajli, N. (2018). Ethical environment in the online communities by information credibility: A social media perspective. Journal of Business Ethics, 149, 799-810. https://doi.org/10.1007/s10551-016-3036-7
  • Holcomb, Z. C., & Cox, K. S. (2017). Interpreting basic statistics: A workbook based on experts from journal articles. Routledge. https://doi.org/10.4324/9781315225647
  • Holmes, F. W. (2020). Exploratory factor analysis. SAGE.
  • Holtzhausen, D., Fullerton, J. A., Lewis, B. K., & Shipka, D. (2021). Principles of strategic communication. Routledge. https://doi.org/10.4324/9781003002048
  • Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion. Yale University Press.
  • Huang, O., Lynn, B. J., Dong, C., Ni, S., & Men, L. R. (2022). Relationship cultivation via social media during the COVID-19 pandemic: Evidence from China and the U.S. International Journal of Business Communication, 1, 1-31. https://doi.org/10.1177/23294884211067805
  • Ismagilova, E., Slade, E. L., Rana, N. O., & Dwivedi, Y. K. (2020). The effect of electronic word of mouth communications on intention to buy: A meta-analysis. Information Systems Frontiers, 22, 1203-1226. https://doi.org/10.1007/s10796-019-09924-y
  • Jamal, J., & Bakar, H. A. (2017). Revisiting organizational credibility and organizational reputation–A situational crisis communication approach. In Proceedings of the International Conference on Communication and Media: An International Communication Association Regional Conference. https://doi.org/10.1051/shsconf/20173300083
  • Keshavarz, H. (2020). Evaluating credibility of social media information: Current challenges, research directions and practical criteria. Information Discovery and Delivery, 49(4), 269-279. https://doi.org/10.1108/IDD-03-2020-0033
  • Khoury, T. A., Shymko, Y., & Vermeire, J. (2021). Simulating the cause: How grassroots organizations advance their credibility through the dramaturgical curation of events. Organization Science, 33(2), 1-31. https://doi.org/10.1287/orsc.2021.1489
  • Kim, C. M., & Brown, W. J. (2015). Conceptualizing credibility in social media spaces of public relations. Public Relations Journal, 9(4), 1-17. https://doi.org/10.1086/599247
  • Kossinets, G., & Watts, D. J. (2009). Origins of homophily in an evolving social network. American Journal of Sociology, 115(2), 405-450. https://doi.org/10.1086/599247
  • Kreegimäe, E., Andersson, A., & Niiranen, N. (2019). What makes your message credible? A descriptive study on the effect of source credibility on message credibility [Unpublished bachelor thesis]. Linnaeus University.
  • Leite, F. P., Pontes, N., & Baptista, P. (2022). Oops, I’ve overshared! When social media influencers’ self-disclosure damage perceptions of source credibility. Computers in Human Behavior, 133(107274), 1-11. https://doi.org/10.1016/j.chb.2022.107274
  • Li, F., Larimo, J., & Leonidou, L. C. (2021). Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda. Journal of the Academy of Marketing Science, 49, 51-70. https://doi.org/10.1007/s11747-020-00733-3
  • Li, R., & Suh, A. (2015). Factors Influencing Information credibility on social media platforms: Evidence from Facebook pages. Procedia Computer Science, 72, 314-328. https://doi.org/10.1016/j.procs.2015.12.146
  • Lin, Y., Hsu, C., Chen, M., & Fang, C. (2017). New gratifications for social word-of-mouth spread via mobile SNSs: Uses and gratifications approach with a perspective of media technology. Telematics and Informatics, 34(4), 382-397. https://doi.org/10.1016/j.tele.2016.08.019
  • McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27, 415-444. https://doi.org/10.1146/annurev.soc.27.1.415
  • Mertler, C. A. (2017). Advanced and multivariate statistical methods: Practical application and interpretation. Routledge. https://doi.org/10.4324/9781315266978
  • Nardi, P. M. (2018). Doing survey research: A guide to quantitative methods. Routledge. https://doi.org/10.4324/9781315172231
  • Newell, S. J., & Goldsmith, R. E. (2001). The development of a scale to measure perceived corporate credibility. Journal of Business Research, 52(3), 235-247. https://doi.org/10.1016/S0148-2963(99)00104-6
  • Oberlo. (2022). What age group uses social media the most? https://www.oberlo.com/statistics/social-media-usage-statistics-by-age
  • Ornico. (2021). SA social media landscape report, social migration. https://website.ornico.co.za/2021/06/30/the-social-media-landscape-report-2021/
  • Picard, R. G. (2015). The humanization of media? Social media and the reformation of communication. Communication Research and Practice, 2015(1), 32-41. https://doi.org/10.1080/22041451.2015.1042421
  • Sharma, M., Yadav, K., Yadav, N., & Ferdinand, K. C. (2017). Zika virus pandemic: Analysis of Facebook as a social media health information platform. American Journal of Infection Control, 45(3), 301-302. https://doi.org/10.1016/j.ajic.2016.08.022
  • Sundar, S. S. (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility. M. J. Metzger, & A. J. Flanagin (Eds.), Digital media, youth, and credibility (pp. 73-100). MIT Press.
  • Tandoc Jr, E. C. (2018). Tell me who your sources are: Perceptions of news credibility on social media. Journalism Practice, 13(2), 178-190. https://doi.org/10.1080/21670811.2021.1945938
  • Vraga, E. K., & Bode, L. (2017). Using expert sources to correct health misinformation in social media. Science Communication, 39(5), 621-645. https://doi.org/10.1177/1075547017731776
  • 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, 171-183. https://doi.org/10.1111/jcc4.12041
  • Wu, Y., & Mustafa, H. (2023). Exploring the impact of social media exposure patterns on people’s belief in fake news during COVID-19: A cross-gender study. Online Journal of Communication and Media Technologies, 13(3), e202326. https://doi.org/10.30935/ojcmt/13117
  • Yuan, S., & Lou, C. (2020). How social media influencers foster relationships with followers: The roles of source credibility and fairness in para-social relationship and product interest. Journal of Interactive Advertising, 20(2), 133-147. https://doi.org/10.1080/15252019.2020.1769514