Home > Research > Publications & Outputs > Mental profile mapping

Links

Text available via DOI:

View graph of relations

Mental profile mapping: A psychological single-candidate authorship attribution method

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Mental profile mapping: A psychological single-candidate authorship attribution method. / Boyd, Ryan L.
In: PLoS ONE, Vol. 13, No. 7, e0200588, 12.07.2018.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Boyd RL. Mental profile mapping: A psychological single-candidate authorship attribution method. PLoS ONE. 2018 Jul 12;13(7):e0200588. doi: 10.1371/journal.pone.0200588

Author

Bibtex

@article{933e2284e0934e87b566f2cb559e95b3,
title = "Mental profile mapping: A psychological single-candidate authorship attribution method",
abstract = "Modern authorship attribution methods are often comprised of powerful yet opaque machine learning algorithms. While much of this work lends itself to concrete outcomes in the form of probability scores, advanced approaches typically preclude deeper insights in the form of psychological interpretation. Additionally, few attribution methods exist for single-candidate authorship problems, most of which require large amounts of supplemental data to perform and none of which rely upon explicitly psychological measures. The current study introduces Mental Profile Mapping, a new authorship attribution technique for single-candidate authorship questions that is founded on previous scientific research pertaining to the nature of language and psychology. In the current study, baseline expectations for results and performance are set using an advanced technique known as “unmasking” on the test case of Aphra Behn, a 17th century English playwright. Following this, Mental Profile Mapping is introduced and tested for its psychometric properties, tested using a “bogus insertion” method, and then applied to canonical Aphra Behn plays. Results from both attribution methods suggest that 2 of 5 questioned plays are likely to have been authored by Behn, with the remaining 3 plays exhibiting a poor fit for Behn{\textquoteright}s psychological fingerprint. Mental Profile Mapping results are then decomposed into deeper psychological interpretation, a quality unique to this new method.",
author = "Boyd, {Ryan L.}",
year = "2018",
month = jul,
day = "12",
doi = "10.1371/journal.pone.0200588",
language = "English",
volume = "13",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "7",

}

RIS

TY - JOUR

T1 - Mental profile mapping

T2 - A psychological single-candidate authorship attribution method

AU - Boyd, Ryan L.

PY - 2018/7/12

Y1 - 2018/7/12

N2 - Modern authorship attribution methods are often comprised of powerful yet opaque machine learning algorithms. While much of this work lends itself to concrete outcomes in the form of probability scores, advanced approaches typically preclude deeper insights in the form of psychological interpretation. Additionally, few attribution methods exist for single-candidate authorship problems, most of which require large amounts of supplemental data to perform and none of which rely upon explicitly psychological measures. The current study introduces Mental Profile Mapping, a new authorship attribution technique for single-candidate authorship questions that is founded on previous scientific research pertaining to the nature of language and psychology. In the current study, baseline expectations for results and performance are set using an advanced technique known as “unmasking” on the test case of Aphra Behn, a 17th century English playwright. Following this, Mental Profile Mapping is introduced and tested for its psychometric properties, tested using a “bogus insertion” method, and then applied to canonical Aphra Behn plays. Results from both attribution methods suggest that 2 of 5 questioned plays are likely to have been authored by Behn, with the remaining 3 plays exhibiting a poor fit for Behn’s psychological fingerprint. Mental Profile Mapping results are then decomposed into deeper psychological interpretation, a quality unique to this new method.

AB - Modern authorship attribution methods are often comprised of powerful yet opaque machine learning algorithms. While much of this work lends itself to concrete outcomes in the form of probability scores, advanced approaches typically preclude deeper insights in the form of psychological interpretation. Additionally, few attribution methods exist for single-candidate authorship problems, most of which require large amounts of supplemental data to perform and none of which rely upon explicitly psychological measures. The current study introduces Mental Profile Mapping, a new authorship attribution technique for single-candidate authorship questions that is founded on previous scientific research pertaining to the nature of language and psychology. In the current study, baseline expectations for results and performance are set using an advanced technique known as “unmasking” on the test case of Aphra Behn, a 17th century English playwright. Following this, Mental Profile Mapping is introduced and tested for its psychometric properties, tested using a “bogus insertion” method, and then applied to canonical Aphra Behn plays. Results from both attribution methods suggest that 2 of 5 questioned plays are likely to have been authored by Behn, with the remaining 3 plays exhibiting a poor fit for Behn’s psychological fingerprint. Mental Profile Mapping results are then decomposed into deeper psychological interpretation, a quality unique to this new method.

U2 - 10.1371/journal.pone.0200588

DO - 10.1371/journal.pone.0200588

M3 - Journal article

C2 - 30001373

AN - SCOPUS:85050889126

VL - 13

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 7

M1 - e0200588

ER -