The Stuff That Verbal Person-Centered Support Is Made of: Identifying Linguistic Markers of More and Less Supportive Conversations

2018 ◽  
Vol 37 (6) ◽  
pp. 656-679 ◽  
Author(s):  
Kaitlin E. Cannava ◽  
Andrew C. High ◽  
Susanne M. Jones ◽  
Graham D. Bodie
Keyword(s):  
Cognitive Process ◽  
Social Process ◽  
Word Count ◽  
Support Providers ◽  
Linguistic Markers ◽  
Computerized Analysis ◽  
Linguistic Inquiry ◽  
Different Levels ◽  
Linguistic Content

Although the functions of messages varying in verbal person centeredness (PC) are well-established, we know less about the linguistic content that differentiates messages with distinct levels of PC. This study examines the lexicon of different levels of PC comfort and seeks to ascertain whether computerized analysis can complement human coders when coding supportive conversations. Transcripts from support providers trained to enact low, moderate, or high levels of PC were subjected to the Linguistic Inquiry and Word Count (LIWC) dictionary. Results reveal that several categories in the LIWC dictionary vary systematically as a function of conversational PC level. LIWC categories, particularly pronouns, social process, cognitive process, anxiety, and anger words, reliably predict which level of the PC hierarchy an interaction represents based on whether a conversation was designed to be high, moderate, or low in PC. The implications are discussed in the context of the lexicon of conversations that vary in PC.

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 Linguistic Markers of Self-Disclosure: Using YouTube Coming Out Videos to Study Disclosure Language

2020 ◽  
Author(s):  
Patrick Charles Doyle ◽  
William Keith Campbell
Keyword(s):  
Coming Out ◽  
Text Analysis ◽  
Word Count ◽  
Analysis Software ◽  
Hiv Diagnosis ◽  
Self Disclosure ◽  
Linguistic Markers ◽  
Behavior Outcomes ◽  
Youtube Videos ◽  
Linguistic Inquiry

Traditional attempts at measuring self-disclosure actually measure self-reported perceptions of disclosure, which is conflated with individual difference characteristics, or rely on trained coders, which is time-consuming. Across a pilot and two studies and using a known-groups paradigm with repeated transcripts from YouTube videos in which creators express a concealable stigmatized identity(LGBTQ, HIV diagnosis, or mental illness), we measured self-disclosure with the Linguistic Inquiry and Word Count and found support for the utility of text-based analyses for operationalization of disclosure. This output was correlated with trained coders’ ratings and was effective for predicting audience behavior outcomes, including reciprocal disclosure. Finally, we discuss the utility of text-analysis software for theoretical and applied work.

scholarly journals Linguistic Markers of Grandiose Narcissism: A LIWC Analysis of 15 Samples

2019 ◽  
Vol 38 (5-6) ◽  
pp. 773-786 ◽  
Author(s):  
Nicholas S. Holtzman ◽  
Allison M. Tackman ◽  
Angela L. Carey ◽  
Melanie S. Brucks ◽  
Albrecht C. P. Küfner ◽  
...  
Keyword(s):  
Language Use ◽  
First Person ◽  
Word Count ◽  
Grandiose Narcissism ◽  
Second Person ◽  
Linguistic Markers ◽  
Linguistic Inquiry

Narcissism is unrelated to using first-person singular pronouns. Whether narcissism is linked to other language use remains unclear. We aimed to identify linguistic markers of narcissism. We applied the Linguistic Inquiry and Word Count to texts ( k = 15; N = 4,941). The strongest positive correlates were using words related to sports, second-person pronouns, and swear words. The strongest negative correlates were using anxiety/fear words, tentative words, and words related to sensory/perceptual processes. Effects were small (each | r| < .10).

scholarly journals Linguistic Markers of Narcissism: An Exploratory LIWC Analysis of 15 Samples

2018 ◽  
Author(s):  
Nicholas S. Holtzman ◽  
Allison Mary Tackman ◽  
Albrecht Kuefner ◽  
Fenne große Deters ◽  
Mitja Back ◽  
...  
Keyword(s):  
Language Use ◽  
First Person ◽  
Word Count ◽  
Second Person ◽  
Linguistic Markers ◽  
Linguistic Inquiry

Narcissism is unrelated to using first-person singular pronouns. Whether narcissism is linked to other language use remains unclear. We aimed to identify linguistic markers of narcissism. We applied the Linguistic Inquiry and Word Count to texts (k = 15; N = 4,941). The strongest positive correlates were: using words related to sports, second-person pronouns, and swear words. The strongest negative correlates were: using anxiety/fear words, tentative words, and words related to sensory/perceptual processes. Effects were small (each |r| &lt; .10).

scholarly journals Post-Traumatic Growth and Identity Construction in Covid-19 Messages Delivered to the People of Ghana by President Nana Akuffo Addo

2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Cynthia Logogye ◽  
Bernard Asafo-Duho ◽  
Joseph B.A. Afful
Keyword(s):  
Cognitive Processing ◽  
Analysis Tool ◽  
Word Count ◽  
Emotion Words ◽  
Linguistic Markers ◽  
Post Traumatic Growth ◽  
The People ◽  
High Prevalence ◽  
Post Traumatic ◽  
Linguistic Inquiry

This work analyses post-traumatic growth in Covid-19 addresses delivered to the people of Ghana by President Nana Akuffo Addo. We draw on Post-Traumatic Growth Theory to explain how Akuffo Addo constructs a new identity for himself and the nation in order to navigate through the pandemic and forge an agenda of growth and prosperity for Ghana. The study employs a linguistic content analysis approach. The data consists of twenty different speeches from the president to the people. The speeches are first analysed and coded manually for the five main tenets of Post-Traumatic Growth (PTG) identified in the updates. Consequently, the linguistic markers that are used in reconstructing the Ghanaian identity in response to the pandemic are delineated and mapped to the goals of the president using the Linguistic Inquiry and Word Count 2015 (LIWC2015; Pennebaker et al., 2015) software; a vocabulary analysis tool. The analysis showed that there was a high prevalence of personal pronoun use, use of positive-emotion words, and cognitive-processing words. This confirms our hypothesis that linguistic markers can be used to detect PTG.

scholarly journals Linguistic markers of grandiose narcissism: A LIWC analysis of 15 samples

2019 ◽  
Author(s):  
Nicholas S. Holtzman ◽  
Allison Mary Tackman ◽  
Fenne große Deters ◽  
Mitja Back ◽  
Brent Donnellan ◽  
...  
Keyword(s):  
Language Use ◽  
First Person ◽  
Word Count ◽  
Grandiose Narcissism ◽  
Second Person ◽  
Linguistic Markers ◽  
Linguistic Inquiry

Narcissism is unrelated to using first-person singular pronouns. Whether narcissism is linked to other language use remains unclear. We aimed to identify linguistic markers of narcissism. We applied the Linguistic Inquiry and Word Count to texts (k = 15; N = 4,941). The strongest positive correlates were: using words related to sports, second-person pronouns, and swear words. The strongest negative correlates were: using anxiety/fear words, tentative words, and words related to sensory/perceptual processes. Effects were small (each |r| &lt; .10).

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.

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