Data trust and data privacy in the COVID-19 period

Biddle, Nicholas; Edwards, Ben; Gray, Matthew J.; Hiscox, Michael; McEachern, Steven; Sollis, Kate

doi:10.1017/dap.2021.36

Cited by 24 publications

(34 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results of the present study are largely consistent with previous Australian findings that overall frequency of consuming alcohol and unhealthy food products did not substantially increase during COVID-19 lockdowns [11,13,14,16,17,28]. Like previous research, the findings indicate specific population subgroups exhibited unhealthy changes in dietary patterns [6,11,[13][14][15][16]29]. These previous studies examined food and alcohol separately, and the present work builds on their findings by identifying males and those with children as being more likely to demonstrate unhealthy changes across several unhealthy product categories during lockdown periods.…”

Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 91%

See 1 more Smart Citation

Population Subgroups at Risk of Unhealthy Changes in Food and Beverage Consumption During COVID-19 Lockdowns

et al. 2023

View full text Add to dashboard Cite

Background Understanding health behaviour changes during the COVID-19 pandemic can assist in developing strategies to promote healthy lifestyles at such times. The aim of this exploratory study was to examine whether the frequency of consuming unhealthy foods and beverages changed during lockdown and whether certain population subgroups were more likely to make such changes. Method An online survey was administered to a national sample of 4022 Australian adults (51% female, mean age 48 years). Generalised linear models with generalised estimating equations were used to identify whether demographic characteristics (age, gender, education, presence of children in the household, number of people in the household) and beliefs related to COVID-19 were associated with changes in the frequency of consuming alcohol, sweet snacks, salty snacks, and sugary beverages from pre to during lockdown. Results Overall, the frequency of consuming the four assessed unhealthy products did not change during lockdown. However, being male and having children at home were consistently associated with unhealthy changes, whereas believing that alcohol or unhealthy diets would exacerbate COVID-19 severity was linked to a decreased frequency of consuming these products respectively. Age, education, and living with more people were also associated with changes in the frequency of consuming some product categories. Conclusion During lockdown, certain population subgroups appeared to be at increased risk of more frequent consumption of unhealthy foods and beverages. Believing certain consumption habits are linked to adverse health impacts of COVID was found to reduce frequency of consumption of related products, presenting a potential focus for future public health actions.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 91%

Population Subgroups at Risk of Unhealthy Changes in Food and Beverage Consumption During COVID-19 Lockdowns

et al. 2023

View full text Add to dashboard Cite

show abstract

“…In line with findings from prior work [19,20,150] that data privacy sentiments in contexts closely related to major events shift in tandem with those events, we observe significant shifts in acceptability in all four data use scenarios we investigate. Answering RQ1, between the years 2019 and 2020, we observe a decrease in acceptability in government collection of data on Americans to assess terrorism threats and an increase in acceptability of both health scenarios: sharing user data from a fitness tracking app with medical researchers studying the link between exercise and heart disease; and a social media company monitoring its users' posts for signs of depression to identify people who are at risk of self-harm and connect them to counseling services.…”

Section: Discussionsupporting

confidence: 90%

“…Most related to our work, Biddle et al [20] finds that over the course of the pandemic, respondents in Australia grew less concerned about the use of their personal data by organizations broadly, compared to their sentiments before the pandemic. We take a similar approach and work within the context of the United States to investigate whether the extended use of personal data during the pandemic may have impacted attitudes beyond those directly relating to COVID-19 mitigation technology.…”

Section: Data Privacy and Covid-19mentioning

confidence: 51%

Ctrl-Shift: How Privacy Sentiment Changed from 2019 to 2021

Goetzen

Dooley²,

Redmiles

2022

PoPETs

View full text Add to dashboard Cite

People’s privacy sentiments influence changes in legislation as well as technology design and use. While single-point-in-time investigations of privacy sentiment offer useful insight, study of people’s privacy sentiments over time is also necessary to better understand and anticipate evolving privacy attitudes. In this work, we build off of a 2019 Pew Research study and use repeated cross-sectional surveys (n=6,676) from 2019, 2020, and 2021 to model the sentiments of people in the U.S. toward collection and use of data for government- and health-related purposes. After the onset of COVID-19, we observe significant decreases in respondent acceptance of government data use and significant increases in acceptance of health-related data uses. While differences in privacy attitudes between sociodemographic groups largely decreased over this time period, following the 2020 U.S. national elections, we observe some of the first evidence that privacy sentiments may change based on the alignment between a user’s politics and the political party in power. Our results offer insight into how privacy attitudes may have been impacted by recent events and allow us to identify potential predictors of changes in privacy attitudes during times of geopolitical or national change.

show abstract

“…The editors and publisher of Data & Policy would like to include the Open Data badge in this article Biddle N, et al (2022).…”

mentioning

confidence: 99%