scholarly journals ОНЛАЙН КОГНІТИВНО-ПОВЕДІНКОВА ТЕРАПІЯ ЕМОЦІЙНОГО ДИСТРЕСУ СТУДЕНТІВ У ПЕРІОД ПАНДЕМІЇ COVID-19

2021 ◽  
Author(s):  
Лариса Засєкіна
Keyword(s):  
Word Count ◽  
Linguistic Inquiry

Мета. COVID-19 пандемія на сучасному етапі трансформується у  другу хвилю пандемії, пов’язану з пандемією розладів психічного здоров’я. Незважаючи на той факт, що студенти упродовж тривалого часу не вважалися вразливою категорією населення у період пандемії, результати останніх досліджень доводять, що вони переживають актуальний стрес, тривожність, самотність та депресію в умовах вимушеної соціальної ізоляції. Мета дослідження полягає в емпіричному вивченні емоційного дистресу студентів під час пандемії COVID-19, та науковому обґрунтуванні авторського онлайн ресурсу, базованому на когнітивно-поведінковій терапії (КПТ). Методи. У дослідженні використовувалися методи теоретичного та емпіричного дослідження, зокрема психодіагностичний інструментарій, представлений  шкалою  психологічного благополуччя К. Ріфф, шкалою депресії А. Бека, шкалою резілієнтності  С. Хамса та ін., шкалою тривоги А. Бека. Для тематичного аналізу творів студентів використовувалася комп'ютерна програма Linguistic  Inquiry  and  Word  Count (LIWC). Результати дослідження психологічного благополуччя свідчать про те, що  найнижчий рівень вираження мають субшкали позитивного ставлення до інших, самоприйняття, цілі в житті та управління оточенням. Тому при розробці онлайн ресурсу саме ці аспекти психологічного благополуччя були враховані. Результати лінійного регресійного аналізу свідчать про те, що тривожність, депресія та резілієнтність сукупно є значущим предиктором психологічного благополуччя.  Водночас лише депресія є незалежним значущим предиктором психологічного благополуччя студентів. Враховуючи тривожність та самотність як основні проблеми, про які зазначали студенти у своїх творах, а також соціальну тривожність, яка зростає в умовах неможливості вдосконалювати комунікативні вміння під час пандемії, ресурс був спрямований на зменшення цих негативних емоційні станів. Відповідно до трьох блоків онлайн ресурс отримав назву 3 (ТРИвожність) D (Депресія) САМ (САМотність). Аналіз виділених категорій когнітивних процесів, афектів, часу у творах студентів та методологічні засади КПТ дали змогу вибудувати зміст та структуру онлайн ресурсу для студентів. Висновки. Онлайн КПТ є важливим інноваційним форматом надання психологічної самодопомоги студентам в умовах соціальної ізоляції.

A Mixed Methods Analysis of Parental Perspectives on Diagnosis and Prognosis of Neonatal Intensive Care Unit Graduates With Cerebral Palsy

2020 ◽  
Vol 35 (5) ◽  
pp. 336-343
Author(s):  
Katherine Guttmann ◽  
John Flibotte ◽  
Sara B. DeMauro ◽  
Holli Seitz
Keyword(s):  
Intensive Care Unit ◽  
Cerebral Palsy ◽  
Content Analysis ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Thematic Analysis ◽  
Neonatal Intensive Care ◽  
Free Text ◽  
Word Count ◽  
Linguistic Inquiry

This study aimed to evaluate how parents of former neonatal intensive care unit patients with cerebral palsy perceive prognostic discussions following neuroimaging. Parent members of a cerebral palsy support network described memories of prognostic discussions after neuroimaging in the neonatal intensive care unit. We analyzed responses using Linguistic Inquiry and Word Count, manual content analysis, and thematic analysis. In 2015, a total of 463 parents met eligibility criteria and 266 provided free-text responses. Linguistic Inquiry and Word Count analysis showed that responses following neuroimaging contained negative emotion. The most common components identified through the content analysis included outcome, uncertainty, hope/hopelessness, and weakness in communication. Thematic analysis revealed 3 themes: (1) Information, (2) Communication, and (3) Impact. Parents of children with cerebral palsy report weakness in communication relating to prognosis, which persists in parents’ memories. Prospective work to develop interventions to improve communication between parents and providers in the neonatal intensive care unit is necessary.

Emotion Word Use by Adolescents Who Stutter: An Exploratory Study

2013 ◽  
Vol 23 (1) ◽  
pp. 6-14
Author(s):  
Corrin G. Richels ◽  
Rogge Jessica
Keyword(s):  
Positive Emotion ◽  
Negative Emotion ◽  
Conversational Speech ◽  
Word Count ◽  
Word Use ◽  
Emotion Words ◽  
Emotion Word ◽  
Linguistic Inquiry ◽  
Positive Valence ◽  
Analyze Data

Purpose: Deficits in the ability to use emotion vocabulary may result in difficulties for adolescents who stutter (AWS) and may contribute to disfluencies and stuttering. In this project, we aimed to describe the emotion words used during conversational speech by AWS. Methods: Participants were 26 AWS between the ages of 12 years, 5 months and 15 years, 11 months-old (n=4 females, n=22 males). We drew personal narrative samples from the UCLASS database. We used Linguistic Inquiry and Word Count (LIWC) software to analyze data samples for numbers of emotion words. Results: Results indicated that the AWS produced significantly higher numbers of emotion words with a positive valence. AWS tended to use the same few positive emotion words to the near exclusion of words with negative emotion valence. Conclusion: A lack of diversity in emotion vocabulary may make it difficult for AWS to engage in meaningful discourse about negative aspects of being a person who stutters

Tweeting on dementia: A snapshot of the content and sentiment of tweets associated with dementia

First Monday ◽  
2021 ◽  
Author(s):  
David Robertshaw ◽  
Ivana Babicova
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Lewy Body Dementia ◽  
Future Research ◽  
Search Term ◽  
Word Count ◽  
Emotional Tone ◽  
Search Terms ◽  
Linguistic Inquiry ◽  
World List

This study aimed to record and characterise tweets related to dementia, to investigate their content and sentiment. Data were extracted from Twitter over a period of six weeks during February and March 2019 and then analysed using Linguistic Inquiry and Word Count (LIWC) and AntWordProfiler. Using five search terms related to dementia, this study collected 860,383 tweets (more than 27 million words). Results have shown that out of all the collected tweets, 48.63 percent of tweets related to the search term ‘dementia’, 49.95 percent to ‘Alzheimer’s disease’ and the remainder related to frontotemporal dementia, Lewy Body dementia and vascular dementia. People wrote more positively and personally about the term ‘dementia’ than the other terms, and more technically regarding the term ‘Alzheimer’s disease’. All search terms had a negative emotional tone overall. Dementia and related terms are commonly discussed on Twitter. The overall negative emotional tone associated with all dementia related search terms suggests that dementia is still largely stigmatised and talked about negatively. Recommendations for future research include the development of a health world list or a dementia world list, and to consider how the results of this research inform social change interventions going forwards.

Linguistic Inquiry and Word Count (LIWC)

2012 ◽  
pp. 206-229 ◽  
Author(s):  
Cindy K. Chung ◽  
James W. Pennebaker
Keyword(s):  
Group Dynamics ◽  
Language Processing ◽  
Behavioral Outcomes ◽  
Content Word ◽  
Analysis Tool ◽  
Word Count ◽  
Psychological States ◽  
Psychological Measures ◽  
Potential Applications ◽  
Linguistic Inquiry

Linguistic Inquiry and Word Count (LIWC; Pennebaker, Booth, & Francis, 2007) is a word counting software program that references a dictionary of grammatical, psychological, and content word categories. LIWC has been used to efficiently classify texts along psychological dimensions and to predict behavioral outcomes, making it a text analysis tool widely used in the social sciences. LIWC can be considered to be a tool for applied natural language processing since, beyond classification, the relative uses of various LIWC categories can reflect the underlying psychology of demographic characteristics, honesty, health, status, relationship quality, group dynamics, or social context. By using a comparison group or longitudinal information, or validation with other psychological measures, LIWC analyses can be informative of a variety of psychological states and behaviors. Combining LIWC categories using new algorithms or using the processor to assess new categories and languages further extend the potential applications of LIWC.

Measuring Emotional Expression with the Linguistic Inquiry and Word Count

2007 ◽  
Vol 120 (2) ◽  
pp. 263 ◽  
Author(s):  
Jeffrey H. Kahn ◽  
Renée M. Tobin ◽  
Audra E. Massey ◽  
Jennifer A. Anderson
Keyword(s):  
Emotional Expression ◽  
Word Count ◽  
Linguistic Inquiry

A Text Analysis of the Poems of Sylvia Plath

2011 ◽  
Vol 109 (1) ◽  
pp. 73-76 ◽  
Author(s):  
David Lester ◽  
Stephanie McSwain
Keyword(s):  
Computer Program ◽  
Text Analysis ◽  
Positive Emotions ◽  
Sylvia Plath ◽  
Word Count ◽  
Linguistic Inquiry

Changes in the words used in the poems of Sylvia Plath were examined using the Linguistic Inquiry and Word Count, a computer program for analyzing the content of texts. Major changes in the content of her poems were observed over the course of Plath's career, as well as in the final year of her life. As the time of her suicide came closer, words expressing positive emotions became more frequent, while words concerned with causation and insight became less frequent.

scholarly journals Online health community experiences of sexual minority women with cancer

2019 ◽  
Vol 26 (8-9) ◽  
pp. 759-766 ◽  
Author(s):  
Young Ji Lee ◽  
Charles Kamen ◽  
Liz Margolies ◽  
Ulrike Boehmer
Keyword(s):  
Sexual Minority ◽  
Symptom Management ◽  
Latent Dirichlet Allocation ◽  
Pearson Correlation ◽  
Female Gender ◽  
Minority Women ◽  
Word Count ◽  
Sexual Minority Women ◽  
Linguistic Inquiry ◽  
Dirichlet Allocation

Abstract Objective The study sought to explore online health communities (OHCs) for sexual minority women (SMW) with cancer by conducting computational text analysis on posts. Materials and Methods Eight moderated OHCs were hosted by the National LGBT Cancer Network from 2013 to 2015. Forty-six SMW wrote a total of 885 posts across the OHCs, which were analyzed using Linguistic Inquiry and Word Count and latent Dirichlet allocation. Pearson correlation was calculated between Linguistic Inquiry and Word Count word categories and participant engagement in the OHCs. Latent Dirichlet allocation was used to derive main topics. Results Participants (average age 46 years; 89% white/non-Hispanic) who used more sadness, female-reference, drives, and religion-related words were more likely to post in the OHCs. Ten topics emerged: coping, holidays and vacation, cancer diagnosis and treatment, structure of day-to-day life, self-care, loved ones, physical recovery, support systems, body image, and symptom management. Coping was the most common topic; symptom management was the least common topic. Discussion Highly engaged SMW in the OHCs connected to others via their shared female gender identity. Topics discussed in these OHCs were similar to OHCs for heterosexual women, and sexual identity was not a dominant topic. The presence of OHC moderators may have driven participation. Formal comparison between sexual minority and heterosexual women’s OHCs are needed. Conclusions Our findings contribute to a better understanding of the experiences of SMW cancer survivors and can inform the development of tailored OHC-based interventions for SMW who are survivors of cancer.

Linguistic Markers in Women’s Discussions on Miscarriage and Abortion Illustrate Psychological Responses to Their Experiences

2020 ◽  
pp. 0261927X2096564
Author(s):  
Kate G. Blackburn ◽  
Weixi Wang ◽  
Rhea Pedler ◽  
Rachel Thompson ◽  
Diana Gonzales
Keyword(s):  
Emotion Regulation ◽  
Text Analysis ◽  
The Other ◽  
Psychological Responses ◽  
Word Count ◽  
Future Directions ◽  
Trauma Research ◽  
Linguistic Markers ◽  
Linguistic Inquiry Word Count ◽  
Linguistic Inquiry

This study analyzed thousands of women’s online conversations in relation to their miscarriage or abortion experiences, classified as unplanned and planned traumas, respectively. Linguistic Inquiry Word Count text analysis revealed that people experiencing a planned trauma use distancing language patterns in higher frequency and engage in emotion regulation more than those who experienced trauma unexpectedly. On the other hand, planned trauma conversations used more self-focused language and more social-based language. Implications and future directions for trauma research are discussed.

scholarly journals A tale of four cities: A semantic analysis comparing the newspaper coverage of air pollution in Hong Kong, London, Pittsburgh, and Tianjin from 2014 to 2017

2019 ◽  
Vol 41 (1) ◽  
pp. 37-52
Author(s):  
Tongxin Sun ◽  
Bu Zhong
Keyword(s):  
Air Pollution ◽  
Hong Kong ◽  
Air Quality ◽  
Real Time ◽  
Semantic Analysis ◽  
Newspaper Coverage ◽  
Word Count ◽  
The Public ◽  
Computer Aided ◽  
Linguistic Inquiry

A computer-aided semantic analysis (using Linguistic Inquiry and Word Count [LIWC]) examined how newspaper coverage of air pollution from 2014 to 2017 may affect the public agenda in four cities—Hong Kong, London, Pittsburgh, and Tianjin. Results show that after controlling for the real-time air quality, the agenda-setting effect was found in Hong Kong, London, and Pittsburgh, but not Tianjin. Tianjin’s reports also contained more future-framed words but fewer present-framed words than other cities.

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