From science to politics: COVID-19 information fatigue on YouTube

Shi, Chyun-Fung; So, Matthew; Stelmach, Sophie; Earn, Arielle; Earn, David J. D.; Dushoff, Jonathan

doi:10.1186/s12889-022-13151-7

Cited by 17 publications

(5 citation statements)

References 63 publications

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“…The overwhelming amount of available information on COVID-19 and the doubt about which sources are trustworthy have led to pandemic fatigue [ 20 , 39 ]. So-called “infodemic” has correlated with weakened mitigation measures [ 20 , 40 ]. In a study about COVID-19 message fatigue, most participants reported being tired of constantly hearing about COVID-19, with the reminder to wear a mask being more tedious [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

Translation, Adaptation and Validation of the Pandemic Fatigue Scale (PFS) in the Greek Language

et al. 2022

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The growing fatigue of citizens due to the COVID-19 pandemic has already been addressed and its results are visible and threatens citizen compliance. The aim of this study was to translate and validate the Pandemic Fatigue Scale (PFS) in the Greek language. A cross-sectional study was conducted between October 2021 to March 2022. The translation and cultural adaptation process was developed according to the research protocols among the university student population in Cyprus and tested the psychometric properties of PFS. Three hundred thirty-four subjects participated in the study through a web survey, which included general information and the study process. The internal consistency for the total PFS showed good reliability (six items, a = 0.88). A weak statistically significant positive correlation was found between the PFS and the Greek versions of Generalised Anxiety Disorder Assessment—GAD-7 (r = 0.1.96; p < 0.001) and the PFS and Patient Health Questionnaire—PHQ-9 (r = 0.173; p = 0.002) demonstrating good concurrent validity. Recovering from the pandemic, it is necessary to build systems to detect and respond to future healthcare crises. The results suggest that the psychometric properties of the Greek PFS are satisfactory. The measure of pandemic fatigue allows for identifying fatigue groups for targeted interventions and testing how pandemic fatigue might be reduced in such situations.

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Section: Discussionmentioning

confidence: 99%

Translation, Adaptation and Validation of the Pandemic Fatigue Scale (PFS) in the Greek Language

et al. 2022

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“…A sharp increase in corona fatigue (58) was particularly marked following the launch of the vaccination program. However, it may be short-sighted to regard this particular increase as a sign of fatigue, as, for example, there are indications that interest in finding out more about the pandemic did not decrease overall, but the focus shifted from scientific to political topics (59). Another aspect is also the coverage of this topic within medias.…”

Section: Corona Fatiguementioning

confidence: 99%

Predictors of adherence in Austrian employees during the COVID-19 pandemic: results of an online survey

Avian,

Könczöl,

Kubicek

et al. 2024

Front. Public Health

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BackgroundSince the beginning of the pandemic in December 2019, Coronavirus disease 2019 (COVID-19) has been a significant challenge to health care systems throughout the world. The introduction of measures to reduce the incidence of infection had a significant impact on the workplace. Overall, companies played a key and adaptive role in coping with the pandemic.MethodsCross-sectional data from an online-survey of 1,183 employees conducted during the COVID-19 pandemic in spring 2021 in Austria were used in the analyses. The influence of health beliefs (e.g., perceived severity), modifying factors (e.g., age) and time-dependent factors (e.g., corona fatigue) on individual adherence were evaluated. The conception of the questionnaire was based on the health belief model.ResultsThe majority of respondents were female (58.3%), worked in companies with more than 250 employees (56.6%) and had been to an academic secondary school or had a university degree (58.3%). Overall, employees were adherent to most of the measures at their company (>80%), except for wearing FFP-2 masks when they were travelling in a car with coworkers (59.3, 95%CI 51.3–66.7%). Overall adherence was associated with high ratings for the meaningfulness of testing (OR: 2.06 95%CI: 1.00–4.22; p = 0.049), the extent to which social norms govern behavior (OR: 6.61 95%CI: 4.66–9.36; p < 0.001), lower perceived difficulties associated with the adoption of health-promoting measures (OR: 0.37 95%CI: 0.16–0.82; p = 0.015) and lower corona fatigue (OR: 0.23 95%CI: 0.10–0.52; p < 0.001). Adherence to four single measures was influenced by different predictors. The most important predictors (important for the adherence to three out of four single measures) were social norms and corona fatigue.ConclusionThe importance attached to testing and social norms, as well as lower perceived barriers to health-promoting measures and low levels of corona fatigue all increase overall adherence to Covid-19 protective measures in companies. Strategies to improve adherence should be adapted depending on the aim (to raise overall adherence or adherence to individual measures) and on the group of persons that is being targeted.

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“…In particular, the data is firstly collected from a hashtag, then sorted according to the number of likes. Such strategy is used to identify trends and their origin, to examine technical features of the platforms (Hautea et al, 2021), or to identify themes (Shi et al, 2022) and particular patterns within the posts (Y. Lee, Huang, Blom, Schriner, & Ciccarelli, 2021).…”

Section: Mixed Approachmentioning

confidence: 99%

Strategies and challenges for constructing and collecting visual corpora from image-based social media platforms

Samofalova

2024

SComS

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Visual elements play an important role within the multimodal nature of social media (Pearce et al., 2020). A growing body of research has focused on the analysis of still and moving images from different social media platforms from various perspectives of communication and media studies (Hautea, Parks, Takahashi, & Zeng, 2021; Li & Xie, 2020; Veum & Undrum, 2018). Although the aforementioned studies describe visual data collection, their principal focus does not rely on this collection, but on data analysis. Little attention has been paid to the challenges of collecting visual datasets (Highfield & Leaver, 2016). In this paper, I propose a methodological overview of several strategies for collecting large corpora of visual data from image-based social media platforms. Provided with exemplary publications, I review five strategies for collecting visual corpora: hashtag-based, account-based, metadata-based, random sampling, and mixed approach. Lastly, I present a case study with my own mixed approach to the collection of visual data from Instagram. Considering the usage, advantages and limitations of each strategy, the article will contribute to the developing science of social media research. I believe that a literature analysis of visual data collection strategies and a provided case study can help researchers optimize visual data collection from image-based social media.

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From science to politics: COVID-19 information fatigue on YouTube

Cited by 17 publications

References 63 publications

Translation, Adaptation and Validation of the Pandemic Fatigue Scale (PFS) in the Greek Language

Translation, Adaptation and Validation of the Pandemic Fatigue Scale (PFS) in the Greek Language

Predictors of adherence in Austrian employees during the COVID-19 pandemic: results of an online survey

Strategies and challenges for constructing and collecting visual corpora from image-based social media platforms

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