Challenges in gaining ethical approval for sensitive digital social science studies

Winter, Charlie; Gundur, R.V.

doi:10.1080/13645579.2022.2122226

Cited by 5 publications

(2 citation statements)

References 79 publications

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“…Out of the reviewed papers, 66% had no disclosure of ethical review, a figure close to what Winter and Gundur [107] find (72.5%) in their review of criminological studies with digital methodologies. There seemed to be an observable pattern between the design of the study and whether ethical approval had been obtained (Figure 3).…”

Section: Discussionsupporting

confidence: 68%

Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review

Fuller,

Vasek,

Mariconti

et al. 2023

Drug and Alcohol Review

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IssuesThe sale of illicit drugs online has expanded to mainstream social media apps. These platforms provide access to a wide audience, especially children and adolescents. Research is in its infancy and scattered due to the multidisciplinary aspects of the phenomena.ApproachWe present a multidisciplinary systematic scoping review on the advertisement and sale of illicit drugs to young people. Peer‐reviewed studies written in English, Spanish and French were searched for the period 2015 to 2022. We extracted data on users, drugs studied, rate of posts, terminology used and study methodology.Key FindingsA total of 56 peer‐reviewed papers were included. The analysis of these highlights the variety of drugs advertised and platforms used to do so. Various methodological designs were considered. Approaches to detecting illicit content were the focus of many studies as algorithms move from detecting drug‐related keywords to drug selling behaviour. We found that on average, for the studies reviewed, 13 in 100 social media posts advertise illicit drugs. However, popular platforms used by adolescents are rarely studied.ImplicationsPromotional content is increasing in sophistication to appeal to young people, shifting towards healthy, glamourous and seemingly legal depictions of drugs. Greater inter‐disciplinary collaboration between computational and qualitative approaches are needed to comprehensively study the sale and advertisement of illegal drugs on social media across different platforms. This requires coordinated action from researchers, policy makers and service providers.

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Section: Discussionsupporting

confidence: 68%

Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review

Fuller,

Vasek,

Mariconti

et al. 2023

Drug and Alcohol Review

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“…Stringent ethical considerations regarding participant welfare were diligently observed throughout this study as Winter and Gundur (2022) have pointed out. These measures included obtaining informed consent, ensuring confidentiality and anonymity, and safeguarding the well-being and privacy of the participants.…”

Section: Ethical Considerationsmentioning

confidence: 99%

The influence of sociodemographic factors on students' attitudes toward AI-generated video content creation

Pellas

2023

Smart Learn. Environ.

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Artificial Intelligence (AI) and Machine Learning (ML) technologies offer the potential to support digital content creation and media production, providing opportunities for individuals from diverse sociodemographic backgrounds to engage in creative activities and enhance their multimedia video content. However, less attention has been paid to recent research exploring any possible relationships between AI-generated video creation and the sociodemographic variables of undergraduate students. This study aims to investigate the multifaceted relationship between AI-generated video content and sociodemographics by examining its implications for inclusivity, equity, and representation in the digital media landscape. An empirical study about the use of AI in video content creation was conducted with a diverse cohort of three hundred ninety-eighth undergraduate (n = 398) students. Participants voluntarily took part and were tasked with conceiving and crafting their AI-generated video content. All instruments used were combined into a single web-based self-report questionnaire that was delivered to all participants via email. Key research findings demonstrate that students have a favorable disposition when it comes to incorporating AI-supported learning tasks. The factors fostering this favorable attitude among students include their age, the number of devices they use, the time they dedicate to utilizing technological resources, and their level of experience. Nevertheless, it is the student’s participation in AI training courses that exerts a direct impact on students’ ML attitudes, along with their level of contentment with the reliability of these technologies. This study contributes to a more comprehensive understanding of the transformative power of AI in video content creation and underscores the importance of considering instructional contexts and policies to ensure a fair and equitable digital media platform for students from diverse sociodemographic backgrounds.

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Does Legislation Impede Data Sharing in Australia Across Institutions and Jurisdictions? A Scoping Review

Scheibner,

Kroesche,

Wakefield

et al. 2023

J Med Syst

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Challenges in gaining ethical approval for sensitive digital social science studies

Cited by 5 publications

References 79 publications

Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review

Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review

The influence of sociodemographic factors on students' attitudes toward AI-generated video content creation

Does Legislation Impede Data Sharing in Australia Across Institutions and Jurisdictions? A Scoping Review

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