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The Ethics of Forensic Language Data
Krzysztof Kredens
,
Kate Haworth
,
Sarah Atkins
Cyber Security Innovation (CSI) Research Centre
English, Languages and Applied Linguistics
Aston Institute for Forensic Linguistics
Centre for Health and Society
Aston University
Research output
:
Unpublished contribution to conference
›
Unpublished Conference Paper
›
peer-review
Overview
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Keyphrases
Highly Sensitive
100%
Forensic
100%
Language Data
100%
Ethics
100%
Authentic Data
100%
Law
50%
Work Relationships
50%
Ownership Data
50%
Gaining Access
50%
Long-term Relationship
50%
Forensic Linguistics
50%
Forensic Linguist
50%
Professional Practice
50%
Expert Opinion
50%
Complex Questions
50%
Collective Experience
50%
Text Messaging
50%
External Partners
50%
Insider
50%
Medical Setting
50%
Academic Practice
50%
Legal Context
50%
Data Confidentiality
50%
Threatening Communication
50%
Expert Analysis
50%
Data Protection
50%
Data Ethics
50%
Research Integrity
50%
Data Ownership
50%
Academic Output
50%
Dark Web Forum
50%
Data Anonymization
50%
Computer Science
Data Analysis
100%
Term Relationship
100%
Key Requirement
100%
Working Relationship
100%
Expert Opinion
100%
Anonymization
100%
Data Protection
100%
Dark Web
100%
Data Ownership
100%
Academic Practice
100%
Distinctiveness
100%
Consistency Method
100%
Data Confidentiality
100%
Gaining Access
100%
Arts and Humanities
Linguists
100%
Sound
100%
Forensic linguistics
100%
Police
100%
Professional Practice
100%
Distinctiveness
100%
complex question
100%
Research Integrity
100%
Law
100%
Data Protection
100%
Social Sciences
Courts
100%
Police
100%
Casework
100%
Data Protection
100%
Linguists
100%
Law
100%
External Partner
100%
Data Ownership
100%
Medicine and Dentistry
Base
100%