Skip to main content
Log in

Communicating Scientific Knowledge as News on Social Media: Analyses in Frames of Luhmann’s System Theory

  • Research
  • Published:
Systemic Practice and Action Research Aims and scope Submit manuscript

A Correction to this article was published on 02 September 2023

This article has been updated

Abstract

Digital technology has posed a challenge to the conventional way in which scientific knowledge was disseminated and validated within the scientific system. Scientific knowledge has interfered into the mass media system through online platforms and social media networks. This tendency tremendously expanded after the Covid-19 pandemic, which challenged scientific community around the world to search for more effective ways of communicating scientific evidence. Meanwhile, recent studies show that trust towards science has globally increased since the pandemic. Moreover, it is a key driving force behind people’s attitudes and has predictable impact on their pandemic-related behavior. Despite the widespread dissemination of scientific knowledge, it is often misrepresented, oversimplified, or distorted. People trust science globally, yet scientific knowledge is disseminated through the widely-used yet least trusted medium of social media.

This paper aims to analyze the interconnection between scientific and mass media systems and its effects on communicating scientific knowledge on social media. For this purpose, the logic of digital media platforms is explored, and Luhman’s system theory is viewed as an essential theoretical background for the analyses of the spread and exposure of scientific knowledge across social media. Theoretical analyses, along with secondary data analysis of recent global studies on news consumption and trust towards the media and science, are used to analyze the structural coupling of the mass media and scientific systems. The author concludes that it is essential to interconnect scientific and mass media systems, taking into account trust towards the medium, message, and source.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data Availability

(a statement on how any datasets used can be accessed)

This declaration is not applicable.

Change history

References

Download references

Funding

(details of any funding received)

This declaration is not applicable.

Author information

Authors and Affiliations

Authors

Contributions

All the work on this manuscript was done by one author named in the manusscript file-Anahit Hakobyan.

Corresponding author

Correspondence to Anahit Hakobyan.

Ethics declarations

Competing Interests

The authors declare no competing interests.

Ethical Approval (applicable for both human and/ or animal studies. Ethical committees, Internal Review Boards and guidelines followed must be named. When applicable, additional headings with statements on consent to participate and consent to publish are also required)

This declaration is not applicable.

Competing interests (always applicable and includes interests of a financial or personal nature)

This declaration is not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hakobyan, A. Communicating Scientific Knowledge as News on Social Media: Analyses in Frames of Luhmann’s System Theory. Syst Pract Action Res (2023). https://doi.org/10.1007/s11213-023-09659-7

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11213-023-09659-7

Keywords

Navigation