Perception analysis of social networks' privacy policy: Instagram as a case study

Talib, Shuhaili; Razak, Sitti Munirah Abdul; Olowolayemo, Akeem; Salependi, Melasari; Ahmad, Nur Fatihah; Kunhamoo, Syakila; Bani, Siti Khalijah

doi:10.1109/ict4m.2014.7020612

Cited by 12 publications

(11 citation statements)

References 2 publications

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“…Furthermore, Twitter data are designed to be publicly available, whereas Instagram data are not publicly available by default [40]. Users may perceive their Instagram data as being more private and sensitive [41]. The percentage of participants who are willing to share their Instagram data for health behavior monitoring is currently unclear.…”

Section: Introductionmentioning

confidence: 99%

The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

Liu¹,

Perdew²,

Lithopoulos³

et al. 2021

J Med Internet Res

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Background Exercise identity is an important predictor for regular physical activity (PA). There is a lack of research on the potential mechanisms or antecedents of identity development. Theories of exercise identity have proposed that investment, commitment and self-referential (eg, I am an exerciser) statements, and social activation (comparison, support) may be crucial to identity development. Social media may be a potential mechanism to shape identity. Objective The objectives of this study were to (1) explore whether participants were willing to share their Instagram data with researchers to predict their lifestyle behaviors; (2) examine whether PA-related Instagram uses (ie, the percentage of PA-related Instagram posts, fitness-related followings, and the number of likes received on PA-related posts) were positively associated with exercise identity; and (3) evaluate whether exercise identity mediates the relationship between PA-related Instagram use and weekly PA minutes. Methods Participants (18-30 years old) were asked to complete a questionnaire to evaluate their current levels of exercise identity and PA. Participants’ Instagram data for the past 12 months before the completion of the questionnaire were extracted and analyzed with their permission. Instagram posts related to PA in the 12 months before their assessment, the number of likes received for each PA-related post, and verified fitness- or PA-related followings by the participants were extracted and analyzed. Pearson correlation analyses were used to evaluate the relationship among exercise identity, PA, and Instagram uses. We conducted mediation analyses using the PROCESS macro modeling tool to examine whether exercise identity mediated the relationship between Instagram use variables and PA. Descriptive statistical analyses were used to compare the number of willing participants versus those who were not willing to share their Instagram data. Results Of the 76 participants recruited to participate, 54% (n=41) shared their Instagram data. The percentage of PA-related Instagram posts (r=0.38; P=.01) and fitness-related Instagram followings (r=0.39; P=.01) were significantly associated with exercise identity. The average number of “likes” received (r=0.05, P=.75) was not significantly associated with exercise identity. Exercise identity significantly influenced the relationship between Instagram usage metrics (ie, the percentage of PA-related Instagram posts [P=.01] and verified fitness-related Instagram accounts [P=.01]) and PA level. Exercise identity did not significantly influence the relationship between the average number of “likes” received for the PA-related Instagram posts and PA level. Conclusions Our results suggest that an increase in PA-related Instagram posts and fitness-related followings were associated with a greater sense of exercise identity. Higher exercise identity led to higher PA levels. Exercise identity significantly influenced the relationship between PA-related Instagram posts (P=.01) and fitness-related followings on PA levels (P=.01). These results suggest that Instagram may influence a person’s exercise identity and PA levels. Future intervention studies are warranted.

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Section: Introductionmentioning

confidence: 99%

The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

Liu¹,

Perdew²,

Lithopoulos³

et al. 2021

J Med Internet Res

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“…Just a few studies of Instagram have started to address privacy issues around online policies and the practice of photo sharing. Talib et al (2014), for instance, investigated Instagram users' understanding of privacy policies employing a quantitative methodological approach and circumscribing the analysis to the Islamic context with little reference to western visual culture. Babb and Nelson (2013) focused their analysis on the challenges caused by measurement tools that entrepreneurs use to optimise their visual marketing campaigns on Instagram.…”

Section: Introductionmentioning

confidence: 99%

‘Privacy does not interest me’. A comparative analysis of photo sharing on Instagram and Blipfoto

Serafinelli¹,

Cox²

2019

Visual Studies

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Photo sharing online has become immensely popular and is a central aspect of modern visual culture. Yet it creates a number of privacy issues, both in relation to other individuals and corporate surveillance. The purpose of this study was to investigate users' understanding of privacy issues in photo sharing, based on a comparative study of two contrasting platforms: Instagram and Blipfoto. The study combined netnography and indepth interviewing. It was found that Instagram users had a greater awareness of how the platform might use their data, but saw this loss of privacy as inevitable in return for a free service. Blipfoto users were more trusting of what they experienced as a very community minded platform. Any concerns felt by both groups of users were out-weighed by the sense that photo sharing was highly meaningful and their fascination with watching and being watched. Both groups main approach to privacy was through restricting certain types of image of people and not revealing the location of certain personal spaces. Notions of privacy thus remained primarily personal and ignored corporate dataveillance.

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“…People usually hate reading long texts especially when the PP includes technical jargons which are hard to understand for many users. Other reason to the lack of awareness of PP is the absence of engagements of users while developing the PP [4].…”

Section: Introductionmentioning

confidence: 99%

“…www.ijacsa.thesai.org Although there are large advantages offered by SNSs, there are also many challenges towards the information privacy from personal or organizational aspects. Moreover, most users don't know about the vulnerability of their information while using SNSs [4]. Some SNSs provide comprehensive, updated and detailed privacy policy, so the user can understand the potential risks when posting their information online.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Privacy Concerns and Perceived Vulnerability to Risks on Users Privacy Protection Behaviors on SNS: A Structural Equation Model

Al-Saqer¹,

Seliaman²

2016

ijacsa

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Abstract-This research paper investigates Saudi users' awareness levels about privacy policies in Social Networking Sites (SNSs), their privacy concerns and their privacy protection measures. For this purpose, a research model that consists of five main constructs namely information privacy concern, awareness level of privacy policies of social networking sites, perceived vulnerability to privacy risks, perceived response efficacy, and privacy protecting behavior was developed. An online survey questionnaire was used to collect responses from a sample of (108) Saudi SNSs users. The study found that Saudi users of social networking sites are concerned about their information privacy, but they do not have enough awareness of the importance of privacy protecting behaviors to safeguard their privacy online. The research results also showed that there is a lack of awareness of privacy policies of Social networking sites among Saudi users. Testing hypothesis results using the Structural Equation Modeling (SEM) showed that information privacy concern positively affects privacy protection behaviors in SNSs and perceived vulnerability to privacy risks positively affects information privacy concern.

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Perception analysis of social networks' privacy policy: Instagram as a case study

Cited by 12 publications

References 2 publications

The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study

‘Privacy does not interest me’. A comparative analysis of photo sharing on Instagram and Blipfoto

The Impact of Privacy Concerns and Perceived Vulnerability to Risks on Users Privacy Protection Behaviors on SNS: A Structural Equation Model

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