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1.
Studies in Communication and Media ; 11(3):453-476, 2022.
Article in English | Scopus | ID: covidwho-2202882

ABSTRACT

Social norms messages may motivate COVID-19 preventive behaviors, such as getting vaccinated. To date, however, the research has mainly focused on the established concept of static norms and widely ignored the potential of dynamic norms. Dynamic norms convey information about how norms are developing over time and have been shown to promote change when the behavior is not yet the majority norm. The present study investigated the potential of dynamic norms in the context of the COVID-19 vaccination campaign. It examined (a) the effects of static and dynamic norms messages on vaccination intention, (b) the mechanisms through which dynamic norms may influence vaccination intention, and (c) the potential of dynamic norms to increase vaccination intention of vaccine-hesitant people. We conducted a preregistered online experiment with three conditions (static norm, dynamic norm, control message) among people who were not yet vaccinated (N = 2,289, 16–60 years) in May 2021, during the early vaccine roll-out period for the general population in Switzerland. We found no effects of exposure to the static or dynamic norms messages on vaccination intention and no specific influence mechanisms of dynamic norms (e.g., via perceived future norm) – neither for participants who were willing to get vaccinated nor for the vaccine-hesitant group. However, further analyses showed that, among vaccine-hesitant participants, the normative perception that formerly vaccine-critical people were changing their minds was elated with a stronger vaccination intention. We discuss potential reasons why social norms messages did not show an effect in our study and derive theoretical and practical implications. © Sarah Geber, Lukas Tribelhorn, Sara C. Hitchman, Thomas N. Friemel.

2.
International Journal of Communication ; 16:247-266, 2022.
Article in English | Scopus | ID: covidwho-1710624

ABSTRACT

Tracing technology has been introduced as part of a broader COVID-19 containment strategy in many countries. However, little is yet known about the drivers and barriers to the adoption of tracing apps. Our theoretical framework integrates concepts from technology acceptance (i.e., perceived usefulness and ease of use), health protection (i.e., perceived threat), and social norms research (i.e., perceived norms). To understand the role of these perceptions in the decision process of people who hesitated to adopt the app (N = 327), we conducted a two-wave panel study after app release in Switzerland. We found that perceived usefulness and ease of use of the app, as well as perceived threat of COVID-19 were positively correlated with adoption intention, whereas perceived threat of data misuse was negatively correlated with it. Social norms played a multifaceted role: They were positively correlated with perceived usefulness of the app and adoption intention. Adoption intention, in turn, predicted app adoption 10 weeks later. We discuss theoretical and practical implications of these findings © 2022 (Sarah Geber and Thomas N. Friemel). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd). Available at http://ijoc.org

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