WHEN WORDS SPEAK FOR THEMSELVES: AN EXAMINATION OF LINGUISTIC CORRELATES OF ANXIETY AND DEPRESSION

WHEN WORDS SPEAK FOR THEMSELVES: AN EXAMINATION OF LINGUISTIC CORRELATES OF ANXIETY AND DEPRESSION

Bibliographic Details
Main Author: Haase, Marcus
Language:English
Published: Kent State University Honors College / OhioLINK 2021
Subjects:
Psychology
Experimental Psychology
Linguistics
Linguistic Analysis
LIWC
Anxiety
Depression
Social Media
Linguistic Correlates
Language
Word Choice
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1620659259937997
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ksuhonors16206592599379972021-08-03T07:17:27Z WHEN WORDS SPEAK FOR THEMSELVES: AN EXAMINATION OF LINGUISTIC CORRELATES OF ANXIETY AND DEPRESSION Haase, Marcus Psychology Experimental Psychology Linguistics Linguistic Analysis LIWC Anxiety Depression Social Media Linguistic Correlates Language Word Choice Over the past 100 years, researchers have begun to explore the options Linguistic Analysis holds in studying psychological conditions. Advancements in computing technologies have resulted in the creation of several automated processes that have expanded the capabilities of researchers, including the Linguistic Inquiry Word Count software (LIWC). With the help of these automated analyses, academics have identified correlations between the use of First Person Singular Pronouns and depression, as well as words that convey negative affect and positive affect and anxiety. These correlations vary in strength and robustness, but when combined, they can create innovative tools and techniques for identifying mental illness. In particular, the application of Linguistic Analysis to social media platforms offers the opportunity to quickly and easily identify those at risk, while also posing important ethical and moral questions that have yet to be answered. 2021-05-19 English text Kent State University Honors College / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1620659259937997 http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1620659259937997 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Psychology
Experimental Psychology
Linguistics
Linguistic Analysis
LIWC
Anxiety
Depression
Social Media
Linguistic Correlates
Language
Word Choice
spellingShingle Psychology
Experimental Psychology
Linguistics
Linguistic Analysis
LIWC
Anxiety
Depression
Social Media
Linguistic Correlates
Language
Word Choice
Haase, Marcus
WHEN WORDS SPEAK FOR THEMSELVES: AN EXAMINATION OF LINGUISTIC CORRELATES OF ANXIETY AND DEPRESSION
author Haase, Marcus
author_facet Haase, Marcus
author_sort Haase, Marcus
title WHEN WORDS SPEAK FOR THEMSELVES: AN EXAMINATION OF LINGUISTIC CORRELATES OF ANXIETY AND DEPRESSION
title_short WHEN WORDS SPEAK FOR THEMSELVES: AN EXAMINATION OF LINGUISTIC CORRELATES OF ANXIETY AND DEPRESSION
title_full WHEN WORDS SPEAK FOR THEMSELVES: AN EXAMINATION OF LINGUISTIC CORRELATES OF ANXIETY AND DEPRESSION
title_fullStr WHEN WORDS SPEAK FOR THEMSELVES: AN EXAMINATION OF LINGUISTIC CORRELATES OF ANXIETY AND DEPRESSION
title_full_unstemmed WHEN WORDS SPEAK FOR THEMSELVES: AN EXAMINATION OF LINGUISTIC CORRELATES OF ANXIETY AND DEPRESSION
title_sort when words speak for themselves: an examination of linguistic correlates of anxiety and depression
publisher Kent State University Honors College / OhioLINK
publishDate 2021
url http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1620659259937997
work_keys_str_mv AT haasemarcus whenwordsspeakforthemselvesanexaminationoflinguisticcorrelatesofanxietyanddepression
_version_ 1719458507485347840

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