What Is “Publicly Available Data”? Exploring Blurred Public–Private Boundaries and Ethical Practices Through a Case Study on Instagram

Ravn, Signe; Barnwell, Ashley; Neves, Bárbara Barbosa

doi:10.1177/1556264619850736

Cited by 58 publications

(45 citation statements)

References 22 publications

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“…Third, the data collection process anonymised participants prior to analysis, and a combination of the large n and analysis strategy (reductive‐quantitative) has made the identification of authors impossible from this publication. This follows Ravn et al () and their proactive use of aggregation‐as‐anonymisation. For this reason, the paper contains no direct quotes from the material analysed.…”

Section: Methodsmentioning

confidence: 87%

“…While some researchers see presumed consent in the publication of material in the “public” Internet, others recognise the complexity of speech and actions that ostensibly occur in public, but with assumed privacy (Tiidenberg ). Ravn et al () have identified the complexity of identifying aspects of human behaviour undertaken in public with assumed privacy, as well as the opposite, “private” behaviour performed with public consumption in mind. Thus, we are ethically asked to consider the expectation of the individuals who produce content, rather than fall back on assumptions that material that is publicly available is automatically in the public domain.…”

Section: Methodsmentioning

confidence: 99%

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Civic discourse on Facebook during the Australian same‐sex marriage postal plebiscite

Chen

2019

Aust J Social Issues

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In 2017 the Australian Government undertook a national survey to determine public support for the legalisation of samesex marriage. This raised concerns the 'plebiscitary' act may create harms to two groups: LGBTI people and those religious people with strong attachment to heteronormative marriage. Justifying the process, the Government advanced the possibility of civil dialogue generative of understanding. While instances of hate speech in public spaces were reported, this paper examines comparatively private speech during the period. Based on an analysis of posts to relevant Facebook pages, this analysis found opponents to same-sex marriage were more highly mobilised online, and considerable differences in the character of online debate for and against the proposed changes. Importantly, while uncivil and 'hate' speech were part of online conversations, the overall quantum of this uncivil discourse was lower than many feared. Additionally, the process did not generate considerable democratic dialogue around policy alternatives and rationales, particularly among 'Yes' campaign supporters who were more homogenous in their acceptance of dominant campaign framing of the issue than their opponents. Significantly for ongoing public debates about public values like educational access and freedom of expression, opponents to change focused their arguments against same-sex marriage around a subset of unrelated issues: free speech, religious freedoms, and diversity in public schools. K E Y W O R D Scivic discourse, hate speech, incivility, same-sex marriage, social media

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Section: Methodsmentioning

confidence: 87%

Section: Methodsmentioning

confidence: 99%

Civic discourse on Facebook during the Australian same‐sex marriage postal plebiscite

Chen

2019

Aust J Social Issues

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“…Only anonymized aggregated data are reported. Although the Instagram pictures and accounts used are publically available, it is questionable to what extent these are intentionally public [24,25]. Content analysis studies have dealt with this differently (e.g.…”

Section: Ethical Considerationsmentioning

confidence: 99%

The #orthorexia community on Instagram

et al. 2021

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Purpose This mixed-methods study delved into the relationship between orthorexia nervosa (ON) and Instagram. Methods Two quantitative data sources were used: content analysis of pictures using #orthorexia (n = 3027), and an online questionnaire investigating the experience of ON and the use of Instagram of people sharing ON-related content on Instagram (n = 185). Following, interviews (n = 9) were conducted with people posting ON-related content on Instagram and self-identifying as having (had) ON. Results People who share ON-related content on Instagram were found to be primarily young women (questionnaire = 95.2% females, mean age 26.2 years; interviews = 100% females, mean age 28.4 years), who were found to be heavy social media users and favor Instagram over other platforms. Questionnaire respondents agreed in defining ON as an obsession with a diet considered healthy, with bio-psycho-social negative consequences, though those who self-identified as having (had) ON were more likely to point out the negative impairments of ON. Interviewees deemed Instagram partially responsible for the development of ON. Instead, they agreed that Instagram encourages problem realization. Content analysis showed that ON is encoded in pictures of ‘food’, ‘people’, ‘text’ and ‘other.’ Interviewees revealed that they started posting to recover, share information, help others, and they felt inspired to post by other accounts. A sense of belonging to the #orthorexia community emerged, where people share values and ideals, and seek validation from others. Conclusion Conversations around #orthorexia on Instagram generate supportive communities aiding recovery. Individuals use Instagram for helping others and themselves recovering from ON. Understanding how people help each other, manage their health, cope with symptoms, and undertake recovery can inform the implementation of therapeutic interventions for ON. Level of evidence Level III, evidence obtained from well-designed cohort or case–control analytic studies.

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“…Web data extraction is the initial stage where data is collected from web page sources [5]. At this stage the information is taken from social media Instagram [6], the information is the posting data from the Ministry of Health account with the Ministry of Health account username with a total number of posts of 1,215 taken on January 03, 2020. An example post on the health ministry's Instagram account can be seen in Figure 2.…”

Section: A Web Data Extractionmentioning

confidence: 99%

Analysis of Popular Hashtags on Instagram Account The Ministry of Health

Cahyo¹,

Habibi²,

Priadana³

et al. 2021

Proceedings of the International Conference on Health and Medical Sciences (AHMS 2020)

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Using the Instagram platform to distribute information on this decade is considered quite useful. The Ministry of Health Republic Indonesia has an Instagram account with the username kemenkes_ri used as a medium for distributing health information. That information delivers through Instagram posts always includes hashtags that are used as search keywords for the content that has been distributed. Therefore, analysis is performed on all posts made by kemenkes_ri for one year in 2019. From hashtag monitoring can be seen the total frequency of posts every month for one year and top 10 hashtags that are often used. Furthermore, From the results of the most popular hashtag can proceed to search for topics that are often discussed using a combination of bigram features, weighting Term Frequency-Inverse Document Frequency (TF-IDF), followed by Topic Modeling using Latent Dirichlet Allocation (LDA).

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What Is “Publicly Available Data”? Exploring Blurred Public–Private Boundaries and Ethical Practices Through a Case Study on Instagram

Cited by 58 publications

References 22 publications

Civic discourse on Facebook during the Australian same‐sex marriage postal plebiscite

Civic discourse on Facebook during the Australian same‐sex marriage postal plebiscite

The #orthorexia community on Instagram

Analysis of Popular Hashtags on Instagram Account The Ministry of Health

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