英文摘要 |
Research background: The new coronavirus (COVID-19) has brought about two epidemics: one physical and the other informational. The World Health Organization (WHO) defines infodemic as “a tsunami of information--some accurate, some not--that spreads alongside an epidemic....... an infodemic can have direct negative impacts on the health of populations and the public health response...... infodemics hinder the cohesiveness of societies by increasing existing social inequities, stigma, gender disparity and generational rift.” Amidst the uncertainties brought about by the pandemic, COVID-related misinformation has run wild just as much as the virus. This chaotic communication phenomenon has not been charted theoretically in communication studies thus far as most studies are limited to a phenomenal level. This study identifies three major approaches to tackle this problem in the academic arena. First, the health communication approach, typified by WHO’s endeavors, is to rectify misinformation by providing scientific evidence, hoping that science and reason prevail over misinformation as the dominant theme of social communication. Second, big data analyses have adopted a technical approach to trace the footprints of misinformation and reveal patterns of how misinformation spreads on social platforms and the scope of its seriousness. Third, geopolitical studies, political think tanks, and international human rights advocates seek to unveil the whos and whys behind misinformation by documenting certain social or political groups’ and regimes’ misinformation operations. Although fruitful, research efforts thus far have not provided a conceptual framework to make sense of the infodemic phenomenon as well as its deep-rooted societal problems at an abstract level.
Research purpose: Using social systems theory as a conceptual framework to analyze the infodemic phenomenon.
Research questions: This study situates the infodemic scenario within a broader matrix of diverse relations between information and societies and aims to answer the following questions. If the virus’ threat toward human health is a fact, then why do different social groups react to the virus so contrarily? If information can be determined as true or false, then why is misinformation being continuously reproduced, spread, and even supported? What does one make of the relations among the virus, information, and society?
Research method: This study uses sociologist Niklas Luhmann’s social systems theory as the conceptual tool, as well as the study’s worldview, to analyze the infodemic phenomenon. It first introduces Luhmann’s concept of observation, autopoiesis, communication, system differentiation, and system contradiction and conflict and then uses these concepts to observe the diverse relationships between information and societies within the pandemic. This research deems Luhmann’s systems theory an adequate conceptual model for the subject as it conceives society as a complex conglomerate of differences instead of an aggregation of consensus.
Research results: This study concludes with four propositions. (1) The semantic of infodemic does not reflect an objective phenomenon; instead, it is a construction out of frustrated observations projected by nation-states that find themselves unable to steer the themes of social communication both within and over their boundaries. According to Luhmann, there is only one society in the modern world, the world society, which presents itself as the horizon of all possible themes of communication. Infodemic reflects a frustration in which nation-states find that the disparity between reality and an ideal civic society is getting wider. (2) Luhmann conceives social systems as differences; systems differentiate themselves from the environment and use the distinctions self-referentially to recognize information with which to construct communication on which the systems exist. As a result, different systems apply different distinctions to construct information pertaining to their own autopoietic reproduction. This explains why different social groups would have very different responses to an otherwise physically harmful virus. (3) In Luhmann’s communication concept, information is not the message transmitted between sender and receiver, but a selection among participants who share the information as a resource for system reproduction. Thus, a message, be it true or false and as long as it is meaningful for an observation system’s reproduction, is deemed useful information. This explains why pieces of misinformation can be continually reproduced, shared, and supported. (4) Misinformation, and thus infodemic, emerges as various systems utilize different distinctions to construct diverse observations and communications. From the perspective of first-order observation, a system calls a message misinformation if the message violates its own meaning constitution. However, from the perspective of second-order observation (i.e., observing how a system observes), one can see that misinformation is a system’s communication labeling another system’s communication. It takes at least two systems involved in a contradictory or conflicting relation to realize misinformation being labelled. On the level of second-order observation, there can be no true or false information, only different information. Under the characteristics of the diversity of modern society, accusations of misinformation will become rampant as contradictory and conflicting system relations prevail.
Originality/value: Luhmann’s systems theory not only provides a conceptual framework for observing the infodemic phenomenon and its deep-rooted societal problems, but also enables us to see the other side that previous research methods do not - the side of unscientific and anti-democratic communications that nevertheless also make up parts of the social world. |