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Sexual Self-Schemas in the Real World: Investigating the Ecological Validity of Language-Based Markers of Childhood Sexual Abuse

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Sexual Self-Schemas in the Real World : Investigating the Ecological Validity of Language-Based Markers of Childhood Sexual Abuse. / Stanton, Amelia M.; Meston, Cindy M.; Boyd, Ryan L.

In: Cyberpsychology, Behavior, and Social Networking, Vol. 20, No. 6, 01.06.2017, p. 382-388.

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Stanton, Amelia M. ; Meston, Cindy M. ; Boyd, Ryan L. / Sexual Self-Schemas in the Real World : Investigating the Ecological Validity of Language-Based Markers of Childhood Sexual Abuse. In: Cyberpsychology, Behavior, and Social Networking. 2017 ; Vol. 20, No. 6. pp. 382-388.

Bibtex

@article{54abdd81c3214fe88fb22ccc4016726b,
title = "Sexual Self-Schemas in the Real World: Investigating the Ecological Validity of Language-Based Markers of Childhood Sexual Abuse",
abstract = "This is the first study to examine language use and sexual self-schemas in natural language data extracted from posts to a large online forum. Recently, two studies applied advanced text analysis techniques to examine differences in language use and sexual self-schemas between women with and without a history of childhood sexual abuse. The aim of the current study was to test the ecological validity of the differences in language use and sexual self-schema themes that emerged between these two groups of women in the laboratory. Archival natural language data were extracted from a social media website and analyzed using LIWC2015, a computerized text analysis program, and other word counting approaches. The differences in both language use and sexual self-schema themes that manifested in recent laboratory research were replicated and validated in the large online sample. To our knowledge, these results provide the first empirical examination of sexual cognitions as they occur in the real world. These results also suggest that natural language analysis of text extracted from social media sites may be a potentially viable precursor or alternative to laboratory measurement of sexual trauma phenomena, as well as clinical phenomena, more generally.",
keywords = "childhood sexual abuse, language, meaning extraction method, methodology, social media",
author = "Stanton, {Amelia M.} and Meston, {Cindy M.} and Boyd, {Ryan L.}",
year = "2017",
month = jun
day = "1",
doi = "10.1089/cyber.2016.0657",
language = "English",
volume = "20",
pages = "382--388",
journal = "Cyberpsychology, Behavior, and Social Networking",
issn = "2152-2715",
publisher = "Mary Ann Liebert Inc.",
number = "6",

}

RIS

TY - JOUR

T1 - Sexual Self-Schemas in the Real World

T2 - Investigating the Ecological Validity of Language-Based Markers of Childhood Sexual Abuse

AU - Stanton, Amelia M.

AU - Meston, Cindy M.

AU - Boyd, Ryan L.

PY - 2017/6/1

Y1 - 2017/6/1

N2 - This is the first study to examine language use and sexual self-schemas in natural language data extracted from posts to a large online forum. Recently, two studies applied advanced text analysis techniques to examine differences in language use and sexual self-schemas between women with and without a history of childhood sexual abuse. The aim of the current study was to test the ecological validity of the differences in language use and sexual self-schema themes that emerged between these two groups of women in the laboratory. Archival natural language data were extracted from a social media website and analyzed using LIWC2015, a computerized text analysis program, and other word counting approaches. The differences in both language use and sexual self-schema themes that manifested in recent laboratory research were replicated and validated in the large online sample. To our knowledge, these results provide the first empirical examination of sexual cognitions as they occur in the real world. These results also suggest that natural language analysis of text extracted from social media sites may be a potentially viable precursor or alternative to laboratory measurement of sexual trauma phenomena, as well as clinical phenomena, more generally.

AB - This is the first study to examine language use and sexual self-schemas in natural language data extracted from posts to a large online forum. Recently, two studies applied advanced text analysis techniques to examine differences in language use and sexual self-schemas between women with and without a history of childhood sexual abuse. The aim of the current study was to test the ecological validity of the differences in language use and sexual self-schema themes that emerged between these two groups of women in the laboratory. Archival natural language data were extracted from a social media website and analyzed using LIWC2015, a computerized text analysis program, and other word counting approaches. The differences in both language use and sexual self-schema themes that manifested in recent laboratory research were replicated and validated in the large online sample. To our knowledge, these results provide the first empirical examination of sexual cognitions as they occur in the real world. These results also suggest that natural language analysis of text extracted from social media sites may be a potentially viable precursor or alternative to laboratory measurement of sexual trauma phenomena, as well as clinical phenomena, more generally.

KW - childhood sexual abuse

KW - language

KW - meaning extraction method

KW - methodology

KW - social media

U2 - 10.1089/cyber.2016.0657

DO - 10.1089/cyber.2016.0657

M3 - Journal article

C2 - 28570129

AN - SCOPUS:85020861326

VL - 20

SP - 382

EP - 388

JO - Cyberpsychology, Behavior, and Social Networking

JF - Cyberpsychology, Behavior, and Social Networking

SN - 2152-2715

IS - 6

ER -