CrowdRE, User Feedback and GDPR: Towards Tackling GDPR Implications with Adequate Technical and Organizational Measures in an Effort-Minimal Way

Groen, Eduard C.; Ochs, Michael

doi:10.1109/rew.2019.00038

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Also, textual feedback may be enriched by images, videos, sound clips, and links [5]. A user accepting the collection of data by the service provider can also be considered as a form of feedback [6].…”

Section: Related Workmentioning

confidence: 99%

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User Insights for Better and More Inclusive Online Public Services: A Survey Study

Halbach

Fuglerud

Snaprud

2022

Studies in Health Technology and Informatics

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This work discusses how to build online public services and feedback mechanisms such that they are usable and are actually used, while fulfilling the requirements for EU’s Web Accessibility Directive, security, and privacy. By means of an online survey among impaired users of the Norwegian Labour and Welfare Administration’s online services, it is analyzed which challenges these users experience with public services and feedback processes as of today, and how both can be designed for better and more inclusive online services.

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Section: Related Workmentioning

confidence: 99%

“…User feedback may contain personal data. Groen and Ochs [6] found that the likelihood of finding usernames, email addresses as well as Twitter handles in textural user feedback is very high. Personal data are typically found in both structured and unstructured form.…”

Section: Related Workmentioning

confidence: 99%

User Insights for Better and More Inclusive Online Public Services: A Survey Study

Halbach

Fuglerud

Snaprud

2022

Studies in Health Technology and Informatics

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“…Another possibility for NLP-based machine learning in GDPR-related research lies in Crowd-based RE. The study by Groen and Ochs [52], identified through RQ3, discusses the possibility of online user feedback being subject to the GDPR. Furthermore, the authors suggest anonymization as a viable solution.…”

Section: Bridging the Gapmentioning

confidence: 99%

Exploring Automated GDPR-Compliance in Requirements Engineering: A Systematic Mapping Study

2021

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The General Data Protection Regulation (GDPR), adopted in 2018, profoundly impacts information processing organizations as they must comply with this regulation. In this research, we consider GDPR-compliance as a high-level goal in software development that should be addressed at the outset of software development, meaning during requirements engineering (RE). In this work, we hypothesize that natural language processing (NLP) can offer a viable means to automate this process. We conducted a systematic mapping study to explore the existing literature on the intersection of GDPR, NLP, and RE. As a result, we identified 448 relevant studies, of which the majority (420) were related to NLP and RE. Research on the intersection of GDPR and NLP yielded nine studies, while 20 studies were related to GDPR and RE. Even though only one study was identified on the convergence of GDPR, NLP, and RE, the mapping results indicate opportunities for bridging the gap between these fields. In particular, we identified possibilities for introducing NLP techniques to automate manual RE tasks in the crossing of GDPR and RE, in addition to possibilities of using NLP-based machine learning techniques to achieve GDPR-compliance in RE.

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Privacy Design Strategies and the GDPR: A Systematic Literature Review

Saltarella

Desolda

Lanzilotti

2021

HCI for Cybersecurity, Privacy and Trust

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CrowdRE, User Feedback and GDPR: Towards Tackling GDPR Implications with Adequate Technical and Organizational Measures in an Effort-Minimal Way

Cited by 5 publications

References 9 publications

User Insights for Better and More Inclusive Online Public Services: A Survey Study

User Insights for Better and More Inclusive Online Public Services: A Survey Study

Exploring Automated GDPR-Compliance in Requirements Engineering: A Systematic Mapping Study

Privacy Design Strategies and the GDPR: A Systematic Literature Review

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