scholarly journals Linguistic Analysis of Statements Concerning Paintings Viewed Under Different Instructions by Experts and Novices in the Visual Arts

2019 ◽  
Vol 23 (1) ◽  
pp. 357-379
Author(s):  
Piotr Jan Francuz ◽  
Anna Szymańska ◽  
Marcin Wojtasiński
Keyword(s):  
19Th Century ◽  
Visual Arts ◽  
Cognitive Processes ◽  
Linguistic Analysis ◽  
Word Count ◽  
Aesthetic Value ◽  
Linguistic Inquiry Word Count ◽  
The Arts ◽  
Linguistic Inquiry ◽  
Points Of View

Abstract This research aimed to perform linguistic analysis of the statements of experts and novices in the arts concerning figurative paintings from the 16th to 19th century of different aesthetic value under different instructions. The experts were selected based on a formal criterion of education in visual arts. Based on previous research, the paintings were divided into three groups: beautiful, not beautiful and controversial. The participants viewed them from different points of view defined by seven instructions. The Linguistic Inquiry Word Count (LIWC) was used to measure the connotation of statements in emotional and cognitive terms. Hypotheses, according to which the statements of novices are marked more with emotional, and those of experts more with cognitive processes, were only partially confirmed. It turned out that the emotional or cognitive connotation of statements concerning paintings is mostly modified by the point from which they are viewed and their aesthetic value.

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 Analysing literacy and other psychological tendencies using linguistic profile in English expressive writing: Are students able but unwilling to write?

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Bonita Lee ◽  
Annisa Fitria ◽  
Henndy Ginting
Keyword(s):  
Critical Literacy ◽  
Expressive Writing ◽  
Business Students ◽  
Word Count ◽  
Significant Discrepancy ◽  
Men And Women ◽  
Global Competitiveness ◽  
Linguistic Inquiry Word Count ◽  
Linguistic Inquiry ◽  
Global Population

The use of English in educational settings has become quite common in order to achieve global competitiveness. Given this fact, students are required to be fluent both in oral and written English. Unfortunately, the significant discrepancy is often found between the two. Students seemed to struggle when asked to elaborate their ideas in writing. With that in mind, this study would elaborate on the linguistic properties of students’ writings in order to understand the linguistic processes affecting such a discrepancy. Writings from a total of 205-business students were analysed using Linguistic Inquiry Word Count (LIWC2015) focusing on the linguistic and grammatical properties such as word counts, tenses associated words, adjectives, adverbs and so on. We found that our samples’ writing profile was significantly different from those of LIWC2015, especially in properties such word counts, six-letter words, verb and adjectives, as well as the use of I-related pronoun. For example, we found that our sample used a lot more difficult words while wrote less than half of the global population, suggesting their ability as well as unwillingness to write at the same time. With this main finding, we concluded that students come short in terms of critical literacy. In addition to that, we would also discuss the potential psychological implications (narcissistic tendency) as well as the differences between men and women styles in writing.

Using LIWC to Analyze Participants’ Psychological Processing in Accounting JDM Research

2021 ◽  
Author(s):  
Sanaz Aghazadeh ◽  
Kris Hoang ◽  
Bradley Pomeroy
Keyword(s):  
Text Analysis ◽  
Affective States ◽  
Word Count ◽  
Psycholinguistic Research ◽  
Psychological Constructs ◽  
Written Responses ◽  
Linguistic Inquiry Word Count ◽  
Control Procedures ◽  
Linguistic Inquiry ◽  
Psychological Processing

This paper provides methodological guidance for judgment and decision-making (JDM) researchers in accounting who are interested in using the Linguistic Inquiry Word Count (LIWC) text analysis program to analyze research participants’ written responses to open-ended questions. We discuss how LIWC’s measures of psychological constructs were developed and validated in psycholinguistic research. We then use data from an audit JDM study to illustrate the use of LIWC to guide researchers in identifying suitable measures, performing quality control procedures, and reporting the analysis. We also discuss research design considerations that will strengthen the inferences drawn from LIWC analysis. The paper concludes with examples where LIWC analysis has the potential to reveal participants’ deep, complex, effortful psychological processing and affective states from their written responses.

Distinctive Linguistic Styles in Children with ADHD

2009 ◽  
Vol 105 (2) ◽  
pp. 365-371 ◽  
Author(s):  
Kyungil Kim ◽  
Chang Hwan Lee
Keyword(s):  
Cognitive Processes ◽  
Language Use ◽  
Control Group ◽  
Adhd Group ◽  
Word Count ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
Language Analysis ◽  
Dependent Variables ◽  
Linguistic Inquiry

To assess whether the writing styles of children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) combined type differ significantly from those of children in a nonclinical control group, writing samples from 17 children with ADHD combined type and 18 children in a nonclinical control group were compared using the language analysis program Korean Linguistic Inquiry and Word Count. These writing samples, produced in response to instructions, served as dependent variables. Analysis showed that children with ADHD used fewer linguistic variables (e.g., sentences, phrases, and morphemes) than the control group. In addition, the ADHD group used fewer words reflecting cognitive processes and fewer pronouns than members of the control group. Also, the ADHD group showed a different pattern in the use of words referring to friends. This study provides preliminary descriptive data on language use among children diagnosed with a main subtype of ADHD.

A computer’s understanding of literature

2011 ◽  
Vol 1 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Arthur C. Graesser ◽  
Nia Dowell ◽  
Christian Moldovan
Keyword(s):  
Computational Linguistics ◽  
Discourse Processing ◽  
Literary Texts ◽  
Word Count ◽  
Social Scientists ◽  
Computer Tools ◽  
Linguistic Inquiry Word Count ◽  
Word Concreteness ◽  
Political Speeches ◽  
Linguistic Inquiry

Everyone agrees that a computer could never understand and appreciate literature, but the fields of computational linguistics and discourse processing have made important advances in automatic detection of language and discourse characteristics. We have analyzed literary texts and political speeches with two computer tools, namely Coh-Metrix and Linguistic Inquiry Word Count (LIWC). Coh-Metrix provides hundreds of measures that funnel into 5 principal components: word concreteness, syntactic simplicity, referential cohesion, deep cohesion, and narrativity. LIWC classifies words on 80 categories, such as first person pronouns, negative emotions, and social words. This paper illustrates how computer tools can unveil new insights about literature and can empirically test claims by literary scholars and social scientists. Our approach offers a computational science of literature.

scholarly journals The impact of perinatal loss in maternity units: A psycholinguistic analysis of health professionals’ reactions

2017 ◽  
Vol 25 (5) ◽  
pp. 640-651 ◽  
Author(s):  
Gabriella Gandino ◽  
Giulia Di Fini ◽  
Antonella Bernaudo ◽  
Marcello Paltrinieri ◽  
Marco Castiglioni ◽  
...  
Keyword(s):  
Health Professionals ◽  
Medical Staff ◽  
Perinatal Loss ◽  
Linguistic Analysis ◽  
Emotional Impact ◽  
Clinical Implications ◽  
Word Count ◽  
Future Tense ◽  
Linguistic Inquiry ◽  
The Impact

Perinatal loss has a strong emotional impact on health professionals working in maternity units. We aimed to study the impact of this experience on health professionals’ language. We analyzed the answers of 162 health professionals (physicians and non-medical staff) who described their reactions to perinatal loss. A linguistic analysis was performed using the Linguistic Inquiry and Word Count software. Associations between language and burnout were studied. Words typical of a psychological shock reaction were used more by non-medical staff than by physicians. Participants who used pronouns, optimistic words, future tense verbs, and cognitive words registered lower levels of burnout. Clinical implications of the results are discussed.

scholarly journals Expressions of doubt and trust in online user reviews

2019 ◽  
Author(s):  
Anthony M Evans ◽  
Olga Stavrova ◽  
Hannes Rosenbusch
Keyword(s):  
Conflicts Of Interest ◽  
Online Reviews ◽  
Word Count ◽  
Linguistic Complexity ◽  
Psychological Variables ◽  
User Reviews ◽  
Linguistic Inquiry Word Count ◽  
Online User Reviews ◽  
Linguistic Inquiry

How do expressions of doubt affect trust in online reviews? Previous research leads to conflicting predictions: some studies find that people trust confident advisors more than doubtful advisors, whereas others find doubtful advisors are trusted more, especially when advisors have salient conflicts-of-interest. We tested the effects of doubt in the Yelp Open Dataset (N = 5.9 million user reviews). Reviews were coded using the Linguistic Inquiry Word Count (LIWC) software, which contains two dictionaries related to doubt, tentativeness and (lack of) certainty. Doubtful reviews were more likely to be seen as useful, and this result was robust when controlling for other psychological variables, as well as review length and linguistic complexity. The beneficial consequences of expressing doubt were strongest for positive (5-star) reviews, suggesting that doubt may mitigate concerns about the veracity of overly positive reviews. The present study emphasizes the advantages of expressing doubt.

scholarly journals Examining Users’ Concerns while Using Mobile Learning Apps

2021 ◽  
Vol 15 (15) ◽  
pp. 47
Author(s):  
Senanu Okuboyejo ◽  
Ooreofe Koyejo
Keyword(s):  
Mobile Learning ◽  
User Satisfaction ◽  
Information Overload ◽  
Online Reviews ◽  
Handheld Devices ◽  
Word Count ◽  
Significant Information ◽  
Linguistic Inquiry Word Count ◽  
Linguistic Inquiry ◽  
Massive Information

<p class="0abstract">Mobile learning applications (apps) are increasingly and widely adopted for learning purposes and educational content delivery globally, especially with the massive means of accessing the internet done majorly on mobile handheld devices. Users often submit their feedback on use, experience and general satisfaction via the reviews and ratings given in the digital distribution platforms. With this massive information given through the reviews, it presents an opportunity to derives valuable insights which can be utilized for various reasons and by different stakeholders of these mobile learning apps. This large volume of online reviews creates significant information overload which presents a time-consuming task to read through all reviews. By combining text mining techniques of topic modeling using Latent Dirichlet Algorithm (LDA) and sentiment analysis using Linguistic Inquiry Word Count (LIWC), we analyze these user reviews. These techniques identify inherent topics in the reviews and identifies variables of user satisfaction of mobile learning apps. The thematic analysis done reveals different keywords which guide classification into the topics identified. Conclusively, the topics derived are important to app stakeholders for further modifications and evolution tasks.</p>

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