A Step Beyond Copyright: Considering Thailand’s Privacy Law as it Applies to Scholarly Video Resources

Abstract

Video is a popular medium within linguistic research (Ashmore 2008; Margretts and Margretts 2012; Seyfeddinipur and Rau 2020). Diverse areas of linguistics use video including: sign-language research, investigation into speech co-gesture, and language documentation. It is also a common tool for communities conducting language documentation for lesser-known or endangered languages, e,g., Ungsitipoonporn et al. (2021). Copyright laws have been the main focus of scholars as they consider legal issues around cultural heritage and language documentation materials (Brown 1998; Newman 2007, 2011; Collister 2022). In contrast, Paterson (2021) points out that the rights management component related to archival collections is increasingly complex as additional rights beyond the legal basis of copyright need to be considered including: Rights of Ownership, Neighboring Rights, Moral Rights, Privacy Rights, and Rights of Likeness Reproduction. Scholars often think of video resources as “evidence”, archives think of them as “artifacts”, but the law often casts them as “data”. In 2019, Thailand passed the Personal Data Protection Act (PDPA) which sets up a new set of rights for the subjects of “data” and puts limits on processors of “data”, e.g., archives. The PDPA came into full effect in 2022. In this presentation, I look at some compliance requirements and how they might interact with constraints on copyrights and moral rights, especially in cases where participants agree to be videotaped but wish to remain anonymous. Anonymity is crucial to research design and can be an important part of privacy (Bert-Jaap et al. 2017), yet to document those who are choosing to remain anonymous is challenging.

Date
11 May, 2023 17:00
Location
Pattaya, Thailand

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Hugh Paterson III
Hugh Paterson III
Collaborative Scholar

My research interests include typological patterns in articulatory phonetics; User Experience design in language tools; and graph theory applied to language and linguistic resource discovery.

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