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.read more
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Journal ArticleDOI
Digital data sources and methods for conservation culturomics
Ricardo A. Correia,Richard J. Ladle,Richard J. Ladle,Ivan Jarić,Ivan Jarić,Ana C. M. Malhado,John C. Mittermeier,Uri Roll,Andrea Soriano-Redondo,Andrea Soriano-Redondo,Diogo Veríssimo,Christoph Fink,Anna Hausmann,Jhonatan Guedes-Santos,Reut Vardi,Enrico Di Minin,Enrico Di Minin +16 more
TL;DR: A conservation culturomics research framework that addresses data acquisition, analysis, and inherent biases has been proposed in this article, where the main sources of culturomic data include web pages, social media, and other digital platforms from which metrics of content and engagement can be obtained.
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Role of Social Media Marketing Activities in Influencing Customer Intentions: A Perspective of a New Emerging Era
Khalid Jamil,Liu Dunnan,Rana Faizan Gul,Muhammad Usman Shahzad,Syed Aftab Hussain Gillani,Fazal Hussain Awan +5 more
TL;DR: In this paper , the authors explore social media marketing activities (SMMAs) and their impact on consumer intentions (continuance, participate, and purchase) and analyzes the mediating roles of social identification and satisfaction.
Journal ArticleDOI
Exploring human-nature interactions in national parks with social media photographs and computer vision.
Tuomas Lauri Aleksanteri Väisänen,Vuokko Vilhelmiina Heikinheimo,Tuomo Hiippala,Tuuli Toivonen,Tuuli Toivonen +4 more
TL;DR: In this article, the authors used semantic clustering, scene classification, and object detection to automatically analyze photographs taken in Finnish national parks by domestic and international visitors, revealing broad visual themes related to level of the data set, landscape photogeneity, and human activities.
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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.
Valerio Sbragaglia,Valerio Sbragaglia,Salvatore Coco,Ricardo A. Correia,Marta Coll,Robert Arlinghaus +5 more
TL;DR: Data mining of videos published on YouTube related to recreational fishing of four species of groupers in Italy between 2011 and 2017 helps uncover key spatio-temporal ecological patterns characteristic of the studied species and illustrates the value of digital data associated with recreational fishing for advancing fish and fisheries research.
Journal ArticleDOI
Invasion Culturomics and iEcology
Ivan Jarić,Céline Bellard,Ricardo A. Correia,Franck Courchamp,Karel Douda,Franz Essl,Jonathan M. Jeschke,Gregor Kalinkat,Lukáš Kalous,Robert J. Lennox,Ana Novoa,Raphaël Proulx,Petr Pyšek,Petr Pyšek,Andrea Soriano-Redondo,Allan T. Souza,Reut Vardi,Diogo Veríssimo,Uri Roll +18 more
TL;DR: Although invasive non-native species have been extensively studied, their monitoring and management are often inadequate as mentioned in this paper, and moreover, the great harm invasive nonnative species cause tends to be overlooked.
References
More filters
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.
Journal ArticleDOI
The Right to Privacy
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.
Journal ArticleDOI
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.