The Aston Forensic Linguistic Databank (FoLD)

Petyko, Marton, Busso, Lucia, Grant, Tim and Atkins, Sarah (2022). The Aston Forensic Linguistic Databank (FoLD). Language and Law/Linguagem e Direito, 9 (1), pp. 9-24.

Abstract

The Aston Forensic Linguistic Databank (FoLD) is a permanent, controlled access online repository for forensic linguistic data. We broadly understand forensic linguistics as any academic research with a potential to improve the delivery of justice through the analysis of language. FoLD thus comprises a wide range of datasets with relevance to forensic linguistics and language and law, including commercial extortion letters, investigative interviews in police and other contexts, legal documents, forum posts from far-right online groups, and comment threads from political blogs. This paper outlines how FoLD works and its potential impact on the general discipline of forensic linguistics.

Publication DOI:	https://doi.org/0.21747/21833745/lanlaw/9_1a1
Divisions:	College of Business and Social Sciences > School of Social Sciences & Humanities College of Business and Social Sciences > Aston Institute for Forensic Linguistics College of Business and Social Sciences > School of Social Sciences & Humanities > English Languages and Applied Linguistics ?? 53981500Jl ??
Additional Information:	Copyright (c) 2022 Marton Petyko, et al. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License [https://creativecommons.org/licenses/by-nc/4.0/]. Note 1: The FoLD online interface and server is managed by Aston University’s student-led software enterprise Beautiful Canoe (https://beautifulcanoe.com/). Note 2: The Aston Institute for Forensic Linguistics (AIFL) was founded in 2019. It is a substantial expansion of the former Aston Centre for Forensic Linguistics that was founded in 2008. This expansion was funded via a £6M investment including a £5.4M award from Research England’s Expanding Excellence in England(E3) fund.
Uncontrolled Keywords:	Databank,Repository,Resource,Data sharing,Data access
Publication ISSN:	2183-3745
Full Text Link:
Related URLs:	https://ojs.let ... icle/view/12824 (Publisher URL) https://beautifulcanoe.com/ (Organisation URL)
PURE Output Type:	Article
Published Date:	2022-11-23
Published Online Date:	2022-11-22
Accepted Date:	2022-04-03
Authors:	Petyko, Marton ( 0000-0002-1897-9435) Busso, Lucia ( 0000-0002-5665-771X) Grant, Tim ( 0000-0002-5155-8413) Atkins, Sarah ( 0000-0003-3481-5681)