scholarly journals Is the Truth in Your Words? Distinguishing Children’s Deceptive and Truthful Statements

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Shanna Mary Williams ◽  
Victoria Talwar ◽  
R. C. L. Lindsay ◽  
Nicholas Bala ◽  
Kang Lee
Keyword(s):  
Computer Software ◽  
Detection Accuracy ◽  
Word Count ◽  
Detection Rates ◽  
Children's Narratives ◽  
Software Program ◽  
Linguistic Inquiry

Children’s (N = 48) and adults’ (N = 28) truthful and deceptive statements were compared using a linguistics-based computer software program. Children (4 to 7 years of age) and adults (18 to 25 years of age) participated in a mock courtroom experiment, in which they were asked to recount either a true or fabricated event. Testimonies were then analyzed using Linguistic Inquiry and Word Count Software (LIWC; Pennebaker et al. 2007). This software has been previously used to detect adults’ deceptive statements (e.g., Bond and Lee, 2005). To date, no research has used this method on children’s narratives, nor has this software been used to compare those narratives to adult counterparts. Markers generated through the LIWC program achieved detection rates of 72.40% for samples of both children’s and adults’ narratives combined. In contrast, adult laypersons’ (N = 48) detection rates, for the same narratives (i.e., both children and adults) were close to chance. More specifically, detection rates were above chance for truth (65.00%) and below chance for lies (45.00%). Thus, the linguistic profile provided through LIWC yielded greater accuracy for evaluating the veracity of children’s and adults’ narratives compared to adult laypersons’ detection accuracy.

The Dutch translation of the Linguistic Inquiry and Word Count (LIWC) 2007 dictionary

2017 ◽  
Vol 6 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Peter Boot ◽  
Hanna Zijlstra ◽  
Rinie Geenen
Keyword(s):  
Effect Sizes ◽  
Word Count ◽  
Everyday Language ◽  
Dutch Translation ◽  
Software Program ◽  
Linguistic Inquiry ◽  
Dutch Language ◽  
Parallel Texts ◽  
Very High

Abstract The words we use in everyday language reveal our thoughts, feelings, personality, and motivations. Linguistic Inquiry and Word Count (LIWC) is a software program to analyse text by counting words in 66 psychologically meaningful categories that are catalogued in a dictionary of words. This article presents the Dutch translation of the dictionary that is part of the LIWC 2007 version. It describes and explains the LIWC instrument and it compares the Dutch and English dictionaries on a corpus of parallel texts. The Dutch and English dictionaries were shown to give similar results in both languages, except for a small number of word categories. Correlations between word counts in the two languages were high to very high, while effect sizes of the differences between word counts were low to medium. The LIWC 2007 categories can now be used to analyse Dutch language texts.

Perangkat lunak komputer

2020 ◽  
Author(s):  
Lisa Wati
Keyword(s):  
Computer Program ◽  
Programming Language ◽  
Computer Software ◽  
Computer Users ◽  
Software System ◽  
Physical Sense ◽  
Software Program ◽  
User Instructions ◽  
Sense Of Touch

Abstrak Perangkat lunak komputer (software) atau disebut juga dengan peranti lunak adalah sebuah program komputer yang menjadi jembatan penghubung antara pengguna komputer (user) dengan komputer. Dengan kata lain, perangkat lunak merupakan penerjemah antara user sebagai pemberi intruksi dan komputer sebagai pihak yang menerima intruksi. Software memiliki sifat bertolak belakang dengan hardware. Jika fisik hardware dapat disentuh, lain halnya dengan software, software tidak dapat disentuh dengan indra peraba secara fisik. Namun, software sangat penting dalam pengoprasian komputer. Karna tanpa software komputer hanya mesin yang tidak dapat dioperasikan dengan intruksi user. Sistem software dibuat dengan menggunakan bahasa pemrograman yang ditulis oleh programmer sehingga menjadi kode yang dapat dikenali perangkat keras.Kata kunci : Perangkat lunak komputer, software, programAbstractComputer software (software) is a computer program that serves as a bridge between computer users (users) and computers. In other words, software is a translator between the user as the giver of instructions and the computer as the party who receives the instructions. Software has the opposite properties to hardware. If physical hardware can be touched, another case with software, software cannot be touched with the physical sense of touch. However, software is very important in operating the computer. Because without computer software only machines that cannot be operated with user instructions. The software system is created using a programming language written by the programmer so that it becomes code that can be recognized by the hardware.Keywords: Computer software, software, program

PERANGKAT LUNAK KOMPUTER

2020 ◽  
Author(s):  
Lisawati
Keyword(s):  
Computer Program ◽  
Programming Language ◽  
Computer Software ◽  
Computer Users ◽  
Software System ◽  
Physical Sense ◽  
Software Program ◽  
User Instructions ◽  
Sense Of Touch

Abstrak Perangkat lunak komputer (software) atau disebut juga dengan peranti lunak adalah sebuah program komputer yang menjadi jembatan penghubung antara pengguna komputer (user) dengan komputer. Dengan kata lain, perangkat lunak merupakan penerjemah antara user sebagai pemberi intruksi dan komputer sebagai pihak yang menerima intruksi. Software memiliki sifat bertolak belakang dengan hardware. Jika fisik hardware dapat disentuh, lain halnya dengan software, software tidak dapat disentuh dengan indra peraba secara fisik. Namun, software sangat penting dalam pengoprasian komputer. Karna tanpa software komputer hanya mesin yang tidak dapat dioperasikan dengan intruksi user. Sistem software dibuat dengan menggunakan bahasa pemrograman yang ditulis oleh programmer sehingga menjadi kode yang dapat dikenali perangkat keras.Kata kunci : Perangkat lunak komputer, software, program AbstractComputer software (software) is a computer program that serves as a bridge between computer users (users) and computers. In other words, software is a translator between the user as the giver of instructions and the computer as the party who receives the instructions. Software has the opposite properties to hardware. If physical hardware can be touched, another case with software, software cannot be touched with the physical sense of touch. However, software is very important in operating the computer. Because without computer software only machines that cannot be operated with user instructions. The software system is created using a programming language written by the programmer so that it becomes code that can be recognized by the hardware.Keywords: Computer software, software, program

Perangkat lunak komputer

2020 ◽  
Author(s):  
Lisa Wati
Keyword(s):  
Computer Program ◽  
Programming Language ◽  
Computer Software ◽  
Computer Users ◽  
Software System ◽  
Physical Sense ◽  
Software Program ◽  
User Instructions ◽  
Sense Of Touch

Abstrak Perangkat lunak komputer (software) atau disebut juga dengan peranti lunak adalah sebuah program komputer yang menjadi jembatan penghubung antara pengguna komputer (user) dengan komputer. Dengan kata lain, perangkat lunak merupakan penerjemah antara user sebagai pemberi intruksi dan komputer sebagai pihak yang menerima intruksi. Software memiliki sifat bertolak belakang dengan hardware. Jika fisik hardware dapat disentuh, lain halnya dengan software, software tidak dapat disentuh dengan indra peraba secara fisik. Namun, software sangat penting dalam pengoprasian komputer. Karna tanpa software komputer hanya mesin yang tidak dapat dioperasikan dengan intruksi user. Sistem software dibuat dengan menggunakan bahasa pemrograman yang ditulis oleh programmer sehingga menjadi kode yang dapat dikenali perangkat keras.Kata kunci : Perangkat lunak komputer, software, programAbstractComputer software (software) is a computer program that serves as a bridge between computer users (users) and computers. In other words, software is a translator between the user as the giver of instructions and the computer as the party who receives the instructions. Software has the opposite properties to hardware. If physical hardware can be touched, another case with software, software cannot be touched with the physical sense of touch. However, software is very important in operating the computer. Because without computer software only machines that cannot be operated with user instructions. The software system is created using a programming language written by the programmer so that it becomes code that can be recognized by the hardware.Keywords: Computer software, software, program

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.

In vitro accuracy and inter-observer reliability of CT angiography in detecting intracranial aneurysm enlargement

2019 ◽  
Vol 11 (10) ◽  
pp. 1015-1018 ◽  
Author(s):  
Sami Al Kasab ◽  
Daichi Nakagawa ◽  
Mario Zanaty ◽  
Girish Bathla ◽  
Bruno Policeni ◽  
...  
Keyword(s):  
Intracranial Aneurysm ◽  
Ct Angiography ◽  
Observer Agreement ◽  
Three Dimensions ◽  
Detection Accuracy ◽  
Real Patient ◽  
Detection Rates ◽  
Measurement Variability ◽  
The Individual

Background and purposeTo evaluate the accuracy and inter-observer variability when CT angiography is used to identify unruptured intracranial aneurysm growth.MethodsTwo silicone phantom models were used in this study. Each phantom had eight aneurysms of variable size. The size and location of aneurysms in phantom 1 were representative of real patient aneurysms who presented to our institution. Phantom 2 contained aneurysms in the same locations, but with enlargement in various directions. Three blinded board-certified neuroradiologists were asked to identify the size of each aneurysm in three dimensions using CT angiography. The individual enlargement detection rates and inter-observer agreement rates of aneurysm enlargement among the three experts were calculated.ResultsThe detection rate of aneurysm enlargement in one dimension was 58.3% among the three observers. Accurate detection of enlargement in all dimensions was 12.5% among the three observers. Detection accuracy was not related to the size of enlargement. Significant inter-observer measurement variability was present.ConclusionThe use of CT angiography was associated with a poor ability to identify aneurysm enlargementaccurately. Further human studies are required to confirm our findings.

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