Finnish Response to the First Wave of COVID-19 Accentuated Persuasion

Repo, Petteri; Polsa, Pia; Timonen, Päivi

doi:10.1007/978-3-030-98152-5_9

Cited by 3 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This disruption has been particularly acute in sectors such as retail and restaurants, which rely heavily on in-person interactions and have been severely affected by lockdown measures and social distancing guidelines [ 50 ]. The economic impacts of the pandemic are multifaceted, spanning from immediate business closures and job losses to long-term shifts in consumer behavior and market structures [ 51 ]. The economic consequences of the pandemic further highlight the need for comprehensive pandemic management strategies that integrate health, economic, and social policies.…”

Section: Discussionmentioning

confidence: 99%

Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis

Unlu,

Truong,

Tammi

et al. 2023

J Med Internet Res

View full text Add to dashboard Cite

Background This research extends prior studies by the Finnish Institute for Health and Welfare on pandemic-related risk perception, concentrating on the role of trust in health authorities and its impact on public health outcomes. Objective The paper aims to investigate variations in trust levels over time and across social media platforms, as well as to further explore 12 subcategories of political mistrust. It seeks to understand the dynamics of political trust, including mistrust accumulation, fluctuations over time, and changes in topic relevance. Additionally, the study aims to compare qualitative research findings with those obtained through computational methods. Methods Data were gathered from a large-scale data set consisting of 13,629 Twitter and Facebook posts from 2020 to 2023 related to COVID-19. For analysis, a fine-tuned FinBERT model with an 80% accuracy rate was used for predicting political mistrust. The BERTopic model was also used for superior topic modeling performance. Results Our preliminary analysis identifies 43 mistrust-related topics categorized into 9 major themes. The most salient topics include COVID-19 mortality, coping strategies, polymerase chain reaction testing, and vaccine efficacy. Discourse related to mistrust in authority is associated with perceptions of disease severity, willingness to adopt health measures, and information-seeking behavior. Our findings highlight that the distinct user engagement mechanisms and platform features of Facebook and Twitter contributed to varying patterns of mistrust and susceptibility to misinformation during the pandemic. Conclusions The study highlights the effectiveness of computational methods like natural language processing in managing large-scale engagement and misinformation. It underscores the critical role of trust in health authorities for effective risk communication and public compliance. The findings also emphasize the necessity for transparent communication from authorities, concluding that a holistic approach to public health communication is integral for managing health crises effectively.

show abstract

Section: Discussionmentioning

confidence: 99%

Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis

Unlu,

Truong,

Tammi

et al. 2023

J Med Internet Res

View full text Add to dashboard Cite

show abstract

Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis (Preprint)

Unlu,

Truong,

Tammi

et al. 2023

Preprint

View full text Add to dashboard Cite

UNSTRUCTURED This research paper investigates the role of trust in health authorities during pandemics, with a specific focus on the temporospatial variance of trust levels and their impact on public health outcomes. The study builds upon a prior study on pandemic-related risk perception in Finland, further exploring twelve identified sub-categories of political mistrust. Using a large-scale dataset of social media interactions over three years (2020-2023), we interrogate the dynamics of political trust, pinpointing areas of mistrust accumulation, fluctuations over time, and changes in topic significance. The dataset consists of 13,629 Twitter and Facebook posts related to COVID-19, obtained using academictwitteR package and Facepager application. We utilize a fine-tuned FinBERT model, achieving an 80% accuracy in predicting political mistrust. Additionally, the BERTopic model is employed for topic modelling, demonstrating superior performance in identifying key themes in the mistrust discourse. Our analysis identifies 43 topics, with the most prominent including COVID-19 mortality, coping strategies, PCR testing, and vaccine efficacy. The study also categorizes these topics into nine major themes, revealing an underlying mistrust in the response of the Finnish Institute for Health and Welfare (THL) to the pandemic. Notably, we uncover that public trust correlates with perceptions of disease severity, information-seeking behavior, and the willingness to adopt health measures. Our findings also underscore the distinctive user profiles across social media platforms and their susceptibility to misinformation. This research highlights the efficacy of computational methods such as natural language processing in managing large-scale user engagement and tracking misinformation during health crises. It also underlines the significance of trust in health authorities for effective risk communication and compliance with health measures. The spread of conspiracy theories emphasizes the need for transparent communication from authorities. In conclusion, our findings reinforce the importance of a holistic approach to public health communication and the central role of trust in managing health crises.

show abstract

Anglophone Shattered Hopes and Lost Illusions

Yigit¹

2023

Advances in Logistics, Operations, and Management Science

View full text Add to dashboard Cite

This chapter investigates within the realm of political communication transformational and transactional leadership during and after the COVID-19 pandemic. It attempts to identify which qualities and styles political leaders need to incorporate in the face of such challenges such as the COVID-19 pandemic. It focuses on the actions taken by Trump, Johnson, Marin, and Ardern within the fields of public health strategies, education, and employment to draw a clear and contrasting portrait of the political landscape regarding trustworthy and resilient leadership.

show abstract

Finnish Response to the First Wave of COVID-19 Accentuated Persuasion

Cited by 3 publications

References 7 publications

Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis

Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis

Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis (Preprint)

Anglophone Shattered Hopes and Lost Illusions

Contact Info

Product

Resources

About