Literature DB >> 33749044

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

Enrico Di Minin1,2,3, Christoph Fink1,2, Anna Hausmann1,2, Jens Kremer4, Ritwik Kulkarni1.   

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.
© 2021 Society for Conservation Biology.

Entities:  

Keywords:  base legal; big data; conservation culturomics; culturomia de la conservación; ethics; evaluación de riesgo; general data protection regulation; human-nature interactions; interacciones humano-naturaleza; legal basis; regulación de la protección de datos generales; risk assessment; ética; 《通用数据保护条例》; 人与自然的互动; 伦理学; 保护文化组学; 大数据; 法律基础; 风险评估

Mesh:

Year:  2021        PMID: 33749044     DOI: 10.1111/cobi.13708

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  3 in total

1.  A global community-sourced assessment of the state of conservation technology.

Authors:  Talia Speaker; Stephanie O'Donnell; George Wittemyer; Brett Bruyere; Colby Loucks; Anthony Dancer; Marianne Carter; Eric Fegraus; Jonathan Palmer; Ellie Warren; Jennifer Solomon
Journal:  Conserv Biol       Date:  2022-02-03       Impact factor: 7.563

2.  Classifying and Mapping Cultural Ecosystem Services Using Artificial Intelligence and Social Media Data.

Authors:  Ikram Mouttaki; Ingrida Bagdanavičiūtė; Mohamed Maanan; Mohammed Erraiss; Hassan Rhinane; Mehdi Maanan
Journal:  Wetlands (Wilmington)       Date:  2022-10-08       Impact factor: 2.074

3.  Role of Social Media Marketing Activities in Influencing Customer Intentions: A Perspective of a New Emerging Era.

Authors:  Khalid Jamil; Liu Dunnan; Rana Faizan Gul; Muhammad Usman Shehzad; Syed Hussain Mustafa Gillani; Fazal Hussain Awan
Journal:  Front Psychol       Date:  2022-01-17
  3 in total

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