Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems 2019
DOI: 10.1145/3290605.3300336
|View full text |Cite
|
Sign up to set email alerts
|

`I make up a silly name'

Abstract: Children under 11 are often regarded as too young to comprehend the implications of online privacy. Perhaps as a result, little research has focused on younger kids' risk recognition and coping. Such knowledge is, however, critical for designing efficient safeguarding mechanisms for this age group. Through 12 focus group studies with 29 children aged 6-10 from UK schools, we examined how children described privacy risks related to their use of tablet computers and what information was used by them to identify … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 68 publications
(17 citation statements)
references
References 59 publications
0
9
0
Order By: Relevance
“…Privacy policies in child and parenting apps are variable in terms of both presence and readability. Thus, the data tracking and commercialisation practices of apps, and their associated risks, are generally unknown to children and adults alike29–31—challenging the value of the dominant ‘notice and consent’ privacy framework of the information age. Digital literacy skills-building may mitigate some risks to users and, in the case of children, such programmes have been developed 29.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Privacy policies in child and parenting apps are variable in terms of both presence and readability. Thus, the data tracking and commercialisation practices of apps, and their associated risks, are generally unknown to children and adults alike29–31—challenging the value of the dominant ‘notice and consent’ privacy framework of the information age. Digital literacy skills-building may mitigate some risks to users and, in the case of children, such programmes have been developed 29.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, the data tracking and commercialisation practices of apps, and their associated risks, are generally unknown to children and adults alike29–31—challenging the value of the dominant ‘notice and consent’ privacy framework of the information age. Digital literacy skills-building may mitigate some risks to users and, in the case of children, such programmes have been developed 29. However, lower socioeconomic status, as well as age and gender, may be associated with lower digital literacy,31 suggesting that equitable access to literacy training remains elusive.…”
Section: Discussionmentioning
confidence: 99%
“…Yet, digital environments do not currently provide those visual cues, and school settings may centrally control privacy and security or aggregate student data for use and analysis. If technology adopters and users do not currently see whether personal information is being collected or shared, or with how many entities the information is shared, they may lack an understanding of digital data literacy 4 (Walker et al, 2016; Walker & Kiesler, 2017; Zhao et al, 2019).…”
Section: Research Frameworkmentioning
confidence: 99%
“…We excluded studies that 1. were not available (e.g., Luckin et al, 2001); 2. examined adults or higher education learners only (e.g., Dechand et al, 2019); 3. examined only internet user aspects, including internet usage/behavior studies (e.g., Chaudron et al, 2015;Johnson, 2010) and large-scale internet use surveys (e.g., Šmahel et al, 2020); 4. examined threat models (e.g., Zhang-Kennedy et al, 2016), data literacy and privacy risks studies (e.g., Zhao et al, 2019;Bowler et al, 2017;see Livingstone et al, 2019); 5. examined information behavior, including mental models of search engines or processes (e.g., Holman, 2011); 6. examined conceptions about individual computers or embedded devices only (e.g., Rücker & Pinkwart, 2018).…”
Section: Search Process Inclusion/exclusion Criteriamentioning
confidence: 99%