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How to address data privacy concerns when using social media data in conservation science

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TLDR
In this article, the legal basis for using social media data while ensuring data subjects' rights through a case study based on the European Union's General Data Protection Regulation is investigated, and the authors recommend that conservation scientists carefully consider their research objectives so as to facilitate responsible use of social media datasets in conservation science research, for example, in conservation culturomics and investigations of illegal wildlife trade online.
Abstract
Social media data are being increasingly used in conservation science to study human-nature interactions. User-generated content, such as images, video, text, and audio, and the associated metadata can be used to assess such interactions. A number of social media platforms provide free access to user-generated social media content. However, similar to any research involving people, scientific investigations based on social media data require compliance with highest standards of data privacy and data protection, even when data are publicly available. Should social media data be misused, the risks to individual users' privacy and well-being can be substantial. We investigated the legal basis for using social media data while ensuring data subjects' rights through a case study based on the European Union's General Data Protection Regulation. The risks associated with using social media data in research include accidental and purposeful misidentification that has the potential to cause psychological or physical harm to an identified person. To collect, store, protect, share, and manage social media data in a way that prevents potential risks to users involved, one should minimize data, anonymize data, and follow strict data management procedure. Risk-based approaches, such as a data privacy impact assessment, can be used to identify and minimize privacy risks to social media users, to demonstrate accountability and to comply with data protection legislation. We recommend that conservation scientists carefully consider our recommendations in devising their research objectives so as to facilitate responsible use of social media data in conservation science research, for example, in conservation culturomics and investigations of illegal wildlife trade online.

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Analyzing publicly available videos about recreational fishing reveals key ecological and social insights: A case study about groupers in the Mediterranean Sea.

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References
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Proceedings ArticleDOI

You Only Look Once: Unified, Real-Time Object Detection

TL;DR: Compared to state-of-the-art detection systems, YOLO makes more localization errors but is less likely to predict false positives on background, and outperforms other detection methods, including DPM and R-CNN, when generalizing from natural images to other domains like artwork.
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TL;DR: The principle that the individual shall have full protection in person and in property is a principle as old as the common law; but it has been found necessary from time to time to define anew the exact nature and extent of such protection.
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The global landscape of AI ethics guidelines

TL;DR: In this article, a global convergence emerging around five ethical principles (transparency, justice and fairness, non-maleficence, responsibility and privacy), with substantive divergence in relation to how these principles are interpreted, why they are deemed important, what issue, domain or actors they pertain to, and how they should be implemented.

Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression

TL;DR: The concept of minimal generalization is introduced, which captures the property of the release process not to distort the data more than needed to achieve k-anonymity, and possible preference policies to choose among diierent minimal generalizations are illustrated.
Journal ArticleDOI

Artificial Intelligence: the global landscape of ethics guidelines.

TL;DR: A global convergence emerging around five ethical principles (transparency, justice and fairness, non-maleficence, responsibility and privacy), with substantive divergence in relation to how these principles are interpreted; why they are deemed important; what issue, domain or actors they pertain to; and how they should be implemented.
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