Linguistic styles: language use as an individual difference

Cognitive and social well-being in older adulthood: The CoSoWELL corpus of written life stories

This paper presents the Cognitive and Social WELL-being (CoSoWELL) project that consists of two components. One is a large corpus of narratives written by over 1000 North American older adults (55+ years old) in five test sessions before and during the first year of the COVID-19 pandemic. The other component is a rich collection of socio-demographic data collected through a survey from the same participants. This paper introduces the first release of the corpus consisting of 1.3 million tokens and the survey data (CoSoWELL version 1.0). It also presents a series of analyses validating design decisions for creating the corpus of narratives written about personal life events that took place in the distant past, recent past (yesterday) and future, along with control narratives. We report results of computational topic modeling and linguistic analyses of the narratives in the corpus, which track the time-locked impact of the COVID-19 pandemic on the content of autobiographical memories before and during the COVID-19 pandemic. The main findings demonstrate a high validity of our analytical approach to unique narrative data and point to both the locus of topical shifts (narratives about recent past and future) and their detailed timeline. We make the CoSoWELL corpus and survey data available to researchers and discuss implications of our findings in the framework of research on aging and autobiographical memories under stress.

The Association Between Sociability and COVID-19 Pandemic Stress

The COVID-19 pandemic threatened our physical health, alongside our mental and social wellbeing. Social distancing requirements, which are necessary to mitigate the spread of COVID-19, increased social isolation by limiting social interactions that are an essential part of human wellbeing. In this study, we examined the stress caused by COVID-19 early on in the pandemic through the lens of sociability among a large sample of preservice educators (N = 2,183). We found that individuals who have higher sociability (including deriving joy from social interactions and using social support to manage emotions) experienced greater COVID-19 stress. This study also contributed to prior literature which has sought to relate pandemic-related stress to demographic group differences. We found no significant relationship between demographic membership (gender, race, and sexual orientation) and COVID-19 stress. This study is among the first, however, to demonstrate that vulnerability to pandemic stress varies as a function of sociability. Implications of these findings and ways people can better cope with pandemic isolation are discussed.

Beyond English: Considering Language and Culture in Psychological Text Analysis

The paper discusses the role of language and culture in the context of quantitative text analysis in psychological research. It reviews current automatic text analysis methods and approaches from the perspective of the unique challenges that can arise when going beyond the default English language. Special attention is paid to closed-vocabulary approaches and related methods (and Linguistic Inquiry and Word Count in particular), both from the perspective of cross-cultural research where the analytic process inherently consists of comparing phenomena across cultures and languages and the perspective of generalizability beyond the language and the cultural focus of the original investigation. We highlight the need for a more universal and flexible theoretical and methodological grounding of current research, which includes the linguistic, cultural, and situational specifics of communication, and we provide suggestions for procedures that can be implemented in future studies and facilitate psychological text analysis across languages and cultures.

The Language of Creativity: Validating Linguistic Analysis to Assess Creative Scientists and Artists

The purpose of this study was twofold: first, to be among the first attempts to validate linguistic analysis as a method of creativity assessment and second, to differentiate between individuals in varying scientific and artistic creativity levels using personality language patterns. Creativity is most commonly assessed through methods such as questionnaires and specific tasks, the validity of which can be weakened by scorer or experimenter error, subjective and response biases, and self-knowledge constraints. Linguistic analysis may provide researchers with an automatic, objective method of assessing creativity, and free from human error and bias. The current study used 419 creativity text samples from a wide range of creative individuals mostly in science (and some in the arts and humanities) to investigate whether linguistic analysis can, in fact, distinguish between creativity levels and creativity domains using creativity dictionaries and personality dimension language patterns, from the linguistic inquiry and word count (LIWC) text analysis program. Creative individuals tended to use more words on the creativity keyword dictionaries as well as more introversion and openness to experience language pattern words than less creative individuals. Regarding creativity domains, eminent scientists used fewer introversion, and openness to experience language pattern words than eminent artists. Text analysis through LIWC was able to partially distinguish between the three creativity levels, in some cases, and the two creativity domains (science and art). These findings lend support to the use of linguistic analysis as a partially valid assessment of scientific and artistic creative achievement.

The think aloud paradigm reveals differences in the content, dynamics and conceptual scope of resting state thought in trait brooding

Although central to well-being, functional and dysfunctional thoughts arise and unfold over time in ways that remain poorly understood. To shed light on these mechanisms, we adapted a "think aloud" paradigm to quantify the content and dynamics of individuals' thoughts at rest. Across two studies, external raters hand coded the content of each thought and computed dynamic metrics spanning duration, transition probabilities between affective states, and conceptual similarity over time. Study 1 highlighted the paradigm's high ecological validity and revealed a narrowing of conceptual scope following more negative content. Study 2 replicated Study 1's findings and examined individual difference predictors of trait brooding, a maladaptive form of rumination. Across individuals, increased trait brooding was linked to thoughts rated as more negative, past-oriented and self-focused. Longer negative and shorter positive thoughts were also apparent as brooding increased, as well as a tendency to shift away from positive conceptual states, and a stronger narrowing of conceptual scope following negative thoughts. Importantly, content and dynamics explained independent variance, accounting for a third of the variance in brooding. These results uncover a real-time cognitive signature of rumination and highlight the predictive and ecological validity of the think aloud paradigm applied to resting state cognition.

Personal Resilience Can Be Well Estimated from Heart Rate Variability and Paralinguistic Features during Human-Robot Conversations

Mental health is as crucial as physical health, but it is underappreciated by mainstream biomedical research and the public. Compared to the use of AI or robots in physical healthcare, the use of AI or robots in mental healthcare is much more limited in number and scope. To date, psychological resilience—the ability to cope with a crisis and quickly return to the pre-crisis state—has been identified as an important predictor of psychological well-being but has not been commonly considered by AI systems (e.g., smart wearable devices) or social robots to personalize services such as emotion coaching. To address the dearth of investigations, the present study explores the possibility of estimating personal resilience using physiological and speech signals measured during human–robot conversations. Specifically, the physiological and speech signals of 32 research participants were recorded while the participants answered a humanoid social robot’s questions about their positive and negative memories about three periods of their lives. The results from machine learning models showed that heart rate variability and paralinguistic features were the overall best predictors of personal resilience. Such predictability of personal resilience can be leveraged by AI and social robots to improve user understanding and has great potential for various mental healthcare applications in the future.

The Grievance Dictionary: Understanding threatening language use

This paper introduces the Grievance Dictionary, a psycholinguistic dictionary that can be used to automatically understand language use in the context of grievance-fueled violence threat assessment. We describe the development of the dictionary, which was informed by suggestions from experienced threat assessment practitioners. These suggestions and subsequent human and computational word list generation resulted in a dictionary of 20,502 words annotated by 2318 participants. The dictionary was validated by applying it to texts written by violent and non-violent individuals, showing strong evidence for a difference between populations in several dictionary categories. Further classification tasks showed promising performance, but future improvements are still needed. Finally, we provide instructions and suggestions for the use of the Grievance Dictionary by security professionals and (violence) researchers.

Coronavirus Disease 2019: Exploring Media Portrayals of Public Sentiment on Funerals Using Linguistic Dimensions

Funerals are a reflective practice to bid farewell to the departed soul. Different religions, cultural traditions, rituals, and social beliefs guide how funeral practices take place. Family and friends gather together to support each other in times of grief. However, during the coronavirus pandemic, the way funerals are taking place is affected by the country's rules and region to avoid the spread of infection. The present study explores the media portrayal of public sentiments over funerals. In particular, the present study tried to identify linguistic dimensions associated with lexical components of social processes, affective processes, fear, and disgust. An exhaustive search of newspaper coverage of funeral and related articles was made for a specific corona period. After an initial screening for the details and language used, a total of 46 newspaper articles on funerals were finalized for the analysis. Linguistic Inquiry and Word Count (LIWC) software was used to determine the association between linguistic dimensions of function words and words related to social and affective processes, as presented in the newspaper articles. Sentiment Analysis and Cognition Engine (SEANCE) was applied for the analysis of sentiment, social cognition, and social order. Bayesian correlation analysis and regression revealed positive and significant associations between function words and affective processes, between pronouns and social processes, and between negative adjectives and psychological processes of fear and disgust. Also, significant negative associations were found between polarity nouns and psychological processes of fear and disgust and between polarity verbs and psychological processes of fear and disgust. Bayes factor 10 provides strong evidence in favor of the study hypotheses. The media is influenced by the prevailing sentiments in society and reflects their perception of the current social order and beliefs. The findings provide a glimpse into the prevailing sentiment of society through the lens of media coverage. These understandings are expected to enhance our observations of how people express their feelings over the loss of their loved ones and help mental health professionals develop their therapeutic protocols to treat the coronavirus disease 2019 (COVID-19)-affected population.

ASIA: Automated Social Identity Assessment using linguistic style

The various group and category memberships that we hold are at the heart of who we are. They have been shown to affect our thoughts, emotions, behavior, and social relations in a variety of social contexts, and have more recently been linked to our mental and physical well-being. Questions remain, however, over the dynamics between different group memberships and the ways in which we cognitively and emotionally acquire these. In particular, current assessment methods are missing that can be applied to naturally occurring data, such as online interactions, to better understand the dynamics and impact of group memberships in naturalistic settings. To provide researchers with a method for assessing specific group memberships of interest, we have developed ASIA (Automated Social Identity Assessment), an analytical protocol that uses linguistic style indicators in text to infer which group membership is salient in a given moment, accompanied by an in-depth open-source Jupyter Notebook tutorial ( https://github.com/Identity-lab/Tutorial-on-salient-social-Identity-detection-model ). Here, we first discuss the challenges in the study of salient group memberships, and how ASIA can address some of these. We then demonstrate how our analytical protocol can be used to create a method for assessing which of two specific group memberships-parents and feminists-is salient using online forum data, and how the quality (validity) of the measurement and its interpretation can be tested using two further corpora as well as an experimental study. We conclude by discussing future developments in the field.

Does It Matter What I Say? Using Language to Examine Reactions to Ostracism as It Occurs

Most of our knowledge related to how social exclusion affects those who ostracize and those who are being ostracized is based on questionnaires administered after the ostracism situation is over. In this research, we strived to further our understanding of the internal dynamics of an ostracism situation. We therefore examined individuals' language-specifically, function words-as a behavior indicative of psychological processes and emergent states that can be unobtrusively recorded right in the situation. In online chats, 128 participants talked about a personal topic in groups of three. In the experimental group (n = 79), two conversation partners ignored every contribution by the third. We found that, compared to the control group, these targets of ostracism used language indicative of a self-focus and worsened mood, but not of social focus or positivity, although positivity was related to a writer's likeability. Sources of ostracism used language suggesting that they were distancing themselves from the situation, and they further engaged in victim derogation. We discuss how our results highlight the severity and potential self-sustainability of ostracism.

Developing and validating the self-transcendent emotion dictionary for text analysis

Recent years have seen a growing amount of research effort directed toward what positive media psychologists refer to as self-transcendent emotions, such as awe, admiration, elevation, gratitude, inspiration, and hope. While these emotions are invaluable to promote greater human connectedness, prosociality, and human flourishing, researchers are constrained in terms of analyzing self-transcendent emotions as expressed in spoken and written languages. Drawing upon the word-counting approach of the text analysis paradigm, this project aimed at constructing a dictionary tool-Self-Transcendent Emotion Dictionary (STED)-which can be uploaded into mainstream, text analytic software (e.g., LIWC) to identify and analyze self-transcendent emotions in large corpora. This dictionary tool was then refined and validated via three studies, where individual words were first rated with regard to their fitness into the proposed construct (Step 1), and then used to analyze essays written to reflect the corresponding construct (Step 2). Finally, the refined dictionary was applied to examine words used in nearly 4,000 human-coded New York Times articles (Step 3). Results indicated that the final dictionary, consisting of 351 lexicons and phrases, exhibits acceptable face and construct validity, and possesses a reasonable level of external validity and applicability. Despite its shortcoming in accounting for the rhetorical techniques ingrained in natural human language, the STED could be instrumental for social scientific inquiry of positive emotions in textual narratives.

The Effect of User Psychology on the Content of Social Media Posts: Originality and Transitions Matter

Multiple studies suggest that frequencies of affective words in social media text are associated with the user's personality and mental health. In this study, we re-examine these associations by looking at the transition patterns of affect. We analyzed the content originality and affect polarity of 4,086 posts from 70 adult Facebook users contributed over 2 months. We studied posting behavior, including silent periods when the user does not post any content. Our results show that more extroverted participants tend to post positive content continuously and that more agreeable participants tend to avoid posting negative content. We also observe that participants with stronger depression symptoms posted more non-original content. We recommend that transitions of affect pattern derived from social media text and content originality should be considered in further studies on mental health, personality, and social media.

Personality Traits and Emotional Word Recognition: An ERP Study

Recent research has investigated how personality trait differences influence the processing of emotion conveyed by pictures, but limited research has examined the emotion conveyed by words. The present study investigated whether extraversion (extroverts vs. introverts) and neuroticism (high neurotics vs. low neurotics) influence the processing of positive, neutral, and negative words that were matched for arousal. Electroencephalography (EEG) was recorded from healthy participants while they performed a lexical decision task. We found that personality traits influenced emotional word recognition at N400 (300-450 ms) and LPC (450-800 ms). At the earlier (N400) stage, the more extraverted and neurotic a participant was, the more reduced the N400s for the positive words relative to neutral words were. This suggests that the extroverts and high neurotics (i.e., high impulsivity) identified positive content in words during lexical feature retrieval, which facilitated such retrieval. At the later (LPC) stage, both the introverts and high neurotics (i.e., high anxiety) showed greater LPCs to negative than neutral words, indicating their sustained attention and elaborative processing of negative information. These results suggest that extraversion and neuroticism collectively influence different stages of emotional word recognition in a way that is consistent with Gray's biopsychological theory of personality.

Is anybody listening? The impact of automatically evaluated job interviews on impression management and applicant reactions

Purpose

Automatic evaluation of job interviews has become an alternative for assessing interviewees. Therefore, questions arise regarding applicant reactions and behavior when algorithms automatically evaluate applicants' interview responses. This study tests arguments from previous research suggesting that applicants whose interviews will be automatically evaluated may use less impression management (IM), but could react more negatively to the interview.

Design/methodology/approach

Participants (N = 124; primarily German students) took part in an online mock interview where they responded to interview questions via voice recordings (i.e. an asynchronous interview). Prior to the interview, half of them were informed that their answers would be evaluated automatically (vs by a human rater). After the interviews, participants reported their honest and deceptive IM behavior as well as their reactions to the interview.

Findings

Participants in the automatic evaluation condition engaged in less deceptive IM, felt they had fewer opportunities to perform during the interview, and provided shorter interview answers.

Research limitations/implications

The findings of this study suggest a trade-off between IM behavior and applicant reactions in technologically advanced interviews. Furthermore, the results indicate that automatically evaluated interviews might affect interview validity (e.g. because of less deceptive IM) and influence interviewees' response behavior.

Practical implications

Hiring managers might hope that automatically evaluated interviews decrease applicants' use of deceptive IM. However, the results also challenge organizations to pay attention to negative effects of automatic evaluation on applicant reactions.

Originality/value

This study is the first empirical study investigating the impact of automatically evaluated interviews on applicant behavior and reactions.

Can linguistic analysis be used to identify whether adolescents with a chronic illness are depressed?

Comorbid depression is common in adolescents with chronic illness. We aimed to design and test a linguistic coding scheme for identifying depression in adolescents with chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME), by exploring features of e-consultations within online cognitive behavioural therapy treatment. E-consultations of 16 adolescents (aged 11-17) receiving FITNET-NHS (Fatigue in teenagers on the interNET in the National Health Service) treatment in a national randomized controlled trial were examined. A theoretically driven linguistic coding scheme was developed and used to categorize comorbid depression in e-consultations using computerized content analysis. Linguistic coding scheme categorization was subsequently compared with classification of depression using the Revised Children's Anxiety and Depression Scale published cut-offs (t-scores ≥65, ≥70). Extra linguistic elements identified deductively and inductively were compared with self-reported depressive symptoms after unblinding. The linguistic coding scheme categorized three (19%) of our sample consistently with self-report assessment. Of all 12 identified linguistic features, differences in language use by categorization of self-report assessment were found for "past focus" words (mean rank frequencies: 1.50 for no depression, 5.50 for possible depression, and 10.70 for probable depression; p < .05) and "discrepancy" words (mean rank frequencies: 16.00 for no depression, 11.20 for possible depression, and 6.40 for probable depression; p < .05). The linguistic coding profile developed as a potential tool to support clinicians in identifying comorbid depression in e-consultations showed poor value in this sample of adolescents with CFS/ME. Some promising linguistic features were identified, warranting further research with larger samples.

Public Response to Suicide News Reports as Reflected in Computerized Text Analysis of Online Reader Comments

Previous research has documented the rise in rates of suicidal behaviors following media reports of celebrity suicide. Whereas most research has focused on documenting and analyzing suicide rates, little is known about more subtle psychological effects of celebrity suicide on the public, such as despair and feelings of abandonment. The Internet has revolutionized the responses to news reports, enabling immediate and anonymous responses potentially reflecting these psychological processes. Thus, the current study explored the unique psychological impact of a celebrity suicide on the public by analyzing the big data of readers' comments to suicide news reports, using computational linguistics methods. Readers' comments (N = 14,506) to suicide news reports were retrieved from 4 leading online news sites. The comments were posted in response to 1 of 1 types of reports: a celebrity suicide (Robin Williams), a non-celebrity suicide, and general reports of suicide as a social phenomenon. LIWC software for computerized linguistic analysis was used to calculate the frequency of the various types of words used. Comparison of the responses to the 3 types of suicide reports revealed higher frequency of first-person pronouns and for emotionally charged words on comments to a celebrity suicide, compared with comments to the other types of suicide reports. The findings suggest that celebrity suicide news reports evoke the expression of positive emotions, possibly related to the venerated celebrity, alongside negative, internalized emotions, and feelings of social isolation. Theoretical, practical, and methodological implications are discussed.

The Development of the Chinese Sentiment Lexicon for Internet

This paper examines the development of the Chinese Sentiment Lexicon for Internet (CSLI), a sentiment lexicon for capturing the valence and arousal in Chinese online social media texts. We first review the current sentiment lexicons and their building process, including the collection of words, judging the emotionality of words, and testing reliability and validity. In Study 1, we develop CSLI and test its initial reliability and validity. In Study 2, we further test the convergent validity of CSLI by examining its correlations with human judgment in 429 aggregated Weibo comments. In Study 3, the predictive validity of CSLI is examined by linking its results to personality traits among 52 undergraduates. Two replication studies are also conducted to verify the findings in Study 2 and 3. The results have generally supported the reliability and validity of CSLI. Therefore, CSLI can be used as a research tool to capture the degree of valence and arousal in Chinese online social media texts. Its potential to promote human well-being is also discussed.

The Standardized Letter of Evaluation Narrative: Differences in Language Use by Gender

Introduction

Prior research demonstrates gender differences in language used in letters of recommendation. The emergency medicine (EM) Standardized Letter of Evaluation (SLOE) format limits word count and provides detailed instructions for writers. The objective of this study is to examine differences in language used to describe men and women applicants within the SLOE narrative.

Methods

All applicants to a four-year academic EM residency program within a single application year with a first rotation SLOE available were included in the sample. We used the Linguistic Inquiry and Word Count (LIWC) program to analyze word frequency within 16 categories. Descriptive statistics, chi-squared, and t-tests were used to describe the sample; gender differences in word frequency were tested for using Mann-Whitney U tests.

Results

Of 1117 applicants to the residency program, 822 (82%) first-rotation SLOEs were available; 64% were men, and 36% were women. We did not find a difference in baseline characteristics including age (mean 27 years), top 25 schools (22.5%), Alpha Omega Alpha Honor Medical Society rates (13%), and having earned advanced degrees (10%). The median word count per SLOE narrative for men was 171 and for women was 180 (p = 0.15). After adjusting for letter length, word frequency differences between genders were only present in two categories: social words (women: 23 words/letter; men: 21 words/letter, p = 0.02) and ability words (women: 2 words/letter; men: 1 word/letter, p = 0.04). We were unable to detect a statistical difference between men and women applicants in the remaining categories, including words representing communal traits, agentic traits, standout adjectives, grindstone traits, teaching words, and research words.

Conclusion

The small wording differences between genders noted in two categories were statistically significant, but of unclear real-world significance. Future work is planned to evaluate how the SLOE format may contribute to this relative lack of bias compared to other fields and formats.

Therapist-Client Language Matching: Initial Promise as a Measure of Therapist-Client Relationship Quality

While research suggests that the therapeutic alliance is important in predicting outcomes of psychotherapy, relatively little is known about the development of the alliance or the moment-to-moment components of the relationship and how they combine to create an alliance, which may represent a serious limitation in existing methods of measurement. Language style matching (LSM), or the degree to which unconscious aspects of an interactional partner's language mimic that of the other partner, is a promising, unobtrusive measure of interaction quality that could provide novel insight into the therapist-client alliance. In this article, we present a theoretical argument regarding the trajectory of therapist-client LSM across therapy sessions, as well as potential precursors and consequences of LSM. We then report on a pilot test of our hypotheses that examined how LSM, clients' relational histories, and clients' symptoms were associated within a therapeutic context. Using a small sample of substance dependent mothers (N = 7, 100% Caucasian women) enrolled in a randomized controlled trial of psychodynamic psychotherapy lasting 12 sessions, we examined client and therapist LSM across 4 of the 12 sessions. We found that, on average, LSM decreases over the course of treatment. Furthermore, greater client interpersonal problems prospectively predict lower early LSM in therapist-client dyads, which in turn predicts greater posttreatment psychiatric distress. Results generate questions for future research and support further investigations of LSM as one index of the quality of interactions between therapist and client.

Language Matters: The Double-Edged Role of Linguistic Style Matching in Work Groups

Linguistic style matching (LSM) refers to a similar linguistic style among conversation partners. We examine the effects of LSM on perceived team performance and perceived social support in real work groups. We propose that team tenure moderates the relationship between LSM and perceived performance such that LSM and performance are positively related for teams with low tenure and negatively related for teams with high levels of tenure. We also propose that LSM and perceived social support are positively related. To test the hypotheses, we videotaped and transcribed meetings of 160 researchers, nested in 26 teams, to assess the individual levels of LSM. We measured team performance and social support with questionnaire scales. In partial support of the hypotheses, multilevel models show a negative relationship between LSM and team performance and a positive relationship between LSM and social support. We discuss potential implications for team research and practitioners.

A Psycholinguistic Analysis of Responses to Live-Stream Suicides on Social Media

Live-stream suicide has become an emerging public health problem in many countries. Regular users are often the first to witness and respond to such suicides, emphasizing their impact on the success of crisis intervention. In order to reduce the likelihood of suicide deaths, this paper aims to use psycholinguistic analysis methods to facilitate automatic detection of negative expressions in responses to live-stream suicides on social media. In this paper, a total of 7212 comments posted on suicide-related messages were collected and analyzed. First, a content analysis was performed to investigate the nature of each comment (negative or not). Second, the simplified Chinese version of the LIWC software was used to extract 75 psycholinguistic features from each comment. Third, based on 19 selected key features, four classification models were established to differentiate between comments with and without negative expressions. Results showed that 19.55% of 7212 comments were recognized as "making negative responses". Among the four classification models, the highest values of Precision, Recall, F-Measure, and Screening Efficacy reached 69.8%, 85.9%, 72.9%, and 47.1%, respectively. This paper confirms the need for campaigns to reduce negative responses to live-stream suicides and support the use of psycholinguistic analysis methods to improve suicide prevention efforts.

Detection of text-based social cues in adults with traumatic brain injury

OBJECTIVES

Written text contains verbal immediacy cues-word form or grammatical cues that indicate positive attitude or liking towards an object, action, or person. We asked if adults with moderate-severe traumatic brain injury (TBI) would respond to these cues, given evidence of TBI-related social communication impairments.

METHODS

Sixty-nine adults with TBI and 74 healthy comparison (HC) peers read pairs of sentences containing different types of immediacy cues (e.g., speaker A said "these Canadians" vs. B said "those Canadians.") and identified which speaker (A or B) had a more positive attitude towards the underlined entity (Task 1); and pairs of sentences comprised of a context sentence (e.g., Fred is asked, "Did you visit Joan and Sue?") and a statement sentence (Fred says, "I visited Sue and Joan.") and were asked to indicate how much Fred liked or disliked the underlined words (Task 2).

RESULTS

HC group scores were significantly higher on Task 1, indicating more sensitivity to cues. On Task 2, TBI and HC group ratings differed across cue types and immediacy types, and the TBI group appeared to have less sensitivity to these cues.

CONCLUSIONS

Findings suggest that TBI-related impairments may reduce sensitivity to subtle social cues in text.

A pilot study on the relationships between language, personality and attachment styles: A linguistic analysis of descriptive speech

The present exploratory study investigated possible relationships between language and personality, attachment styles, and mindfulness disposition. Sixty-three participants were assessed through the Big-Five inventory questionnaire, the Attachment Style Questionnaire, and the Mindfulness Attention Awareness Scale, and then they were asked to look at a picture story and describe it. Narrations were analyzed through a multilevel approach: the number of verbal units and information units reported were counted; the Type/Token Ratio, disfluencies and errors of cohesion were also calculated. Results of hierarchical regression analyses showed that mindfulness and Extraversion were positively related to the number of information units reported about the story. Two dimensions of anxious attachment style presented opposite patterns of association with language expression: individuals high in Need for Approval tended to be more descriptive, while participants high in Preoccupation with Relationships reported less information. Results suggest that individuals' personality, relational histories, and self-awareness may significantly influence their verbal production.

Investigating linguistic coherence relations in child sexual abuse: A comparison of PTSD and non-PTSD children

Background

Language is the most common way to communicate internal states and emotions into a narrative form. Studies on the use of language provide a useful understanding of how people process an event and interpret it.

Objective

The aim of this study was to investigate the effects of PTSD on the narrative coherence of children's reports of sexual abuse.

Participants and setting

Narrative coherence was analyzed within a group of 89 allegations of children (M = 10; range: 4–16), who were victims of sexual abuse. Thirty-seven children presented the symptoms for a diagnosis of PTSD.

Method

Linguistic Inquiry Word Count (LIWC) was employed and narrative coherence was analyzed through some linguistic markers (first-person singular pronouns, conjunctions, and cognitive words).

Results

Results illustrated the effects of PTSD on the narrative coherence, in terms of first-person singular pronouns, conjunctions, and cognitive processes. Indeed, compared with traumatic narratives of children without PTSD, traumatic narratives of children with PTSD contained a greater number of first-person singular pronouns (M_PTSD = 1.45 versus M_no-PTSD = 1.12) and a smaller number of conjunctions (M_PTSD = .37 versus M_non-PTSD = .67), cognitive (M_PTSD = 2.93 versus M_non-PTSD = 3.76) and insight words (M_PTSD = 2.29 versus M_non-PTSD = 3.09). Regression analyses were used to examine if age and PTSD were predictors of the narrative coherence, suggesting the effects of PTSD in predicting the use of the first-person singular pronouns and the conjunctions.

Conclusion

This study could underline the importance of considering the PTSD in legal testimony of children who have been sexually abused.

Liberals lecture, conservatives communicate: Analyzing complexity and ideology in 381,609 political speeches

There is some evidence that liberal politicians use more complex language than conservative politicians. This evidence, however, is based on a specific set of speeches of US members of Congress and UK members of Parliament. This raises the question whether the relationship between ideology and linguistic complexity is a more general phenomenon or specific to this small group of politicians. To address this question, this paper analyzes 381,609 speeches given by politicians from five parliaments, by twelve European prime ministers, as well as speeches from party congresses over time and across countries. Our results replicate and generalize earlier findings: speakers from culturally liberal parties use more complex language than speakers from culturally conservative parties. Economic left-right differences, on the other hand, are not systematically linked to linguistic complexity.

What demographic attributes do our digital footprints reveal? A systematic review

To what extent does our online activity reveal who we are? Recent research has demonstrated that the digital traces left by individuals as they browse and interact with others online may reveal who they are and what their interests may be. In the present paper we report a systematic review that synthesises current evidence on predicting demographic attributes from online digital traces. Studies were included if they met the following criteria: (i) they reported findings where at least one demographic attribute was predicted/inferred from at least one form of digital footprint, (ii) the method of prediction was automated, and (iii) the traces were either visible (e.g. tweets) or non-visible (e.g. clickstreams). We identified 327 studies published up until October 2018. Across these articles, 14 demographic attributes were successfully inferred from digital traces; the most studied included gender, age, location, and political orientation. For each of the demographic attributes identified, we provide a database containing the platforms and digital traces examined, sample sizes, accuracy measures and the classification methods applied. Finally, we discuss the main research trends/findings, methodological approaches and recommend directions for future research.

Linguistic markers of moderate and absolute natural language

In social, personality and mental health research, the tendency to select absolute end-points on Likert scales has been linked to certain cultures, lower intelligence, lower income and personality/mental health disorders. It is unclear whether this response style reflects an absolutist cognitive style or is merely an experimental artefact. In this study, we introduce an alternative, more informative, flexible and ecologically valid approach for estimating absolute responding, that uses natural language markers. We focussed on 'function words' (e.g. particles, conjunctions, prepositions) as they are more generalizable because they do not depend on any specific context. To identify such linguistic markers and test their generalizability, we conducted a text analysis of online reviews for films, tourist attractions and consumer products. All written reviews were accompanied by a rating scale (akin to Likert scale), which allowed us to label text samples as absolute/moderate. The data was split into independent 'training' and 'test' sets. Using the training set we identified a rank order of linguistic markers for absolute and moderate text, which were evaluated in a classifier on the test set. The top three markers alone ("but", "!" and "seem") produced 88% classification accuracy, which increased to 91% using 31 linguistic markers.

Mental profile mapping: A psychological single-candidate authorship attribution method

Modern authorship attribution methods are often comprised of powerful yet opaque machine learning algorithms. While much of this work lends itself to concrete outcomes in the form of probability scores, advanced approaches typically preclude deeper insights in the form of psychological interpretation. Additionally, few attribution methods exist for single-candidate authorship problems, most of which require large amounts of supplemental data to perform and none of which rely upon explicitly psychological measures. The current study introduces Mental Profile Mapping, a new authorship attribution technique for single-candidate authorship questions that is founded on previous scientific research pertaining to the nature of language and psychology. In the current study, baseline expectations for results and performance are set using an advanced technique known as "unmasking" on the test case of Aphra Behn, a 17th century English playwright. Following this, Mental Profile Mapping is introduced and tested for its psychometric properties, tested using a "bogus insertion" method, and then applied to canonical Aphra Behn plays. Results from both attribution methods suggest that 2 of 5 questioned plays are likely to have been authored by Behn, with the remaining 3 plays exhibiting a poor fit for Behn's psychological fingerprint. Mental Profile Mapping results are then decomposed into deeper psychological interpretation, a quality unique to this new method.

The physical and psychological health benefits of positive emotional writing: Investigating the moderating role of Type D (distressed) personality

OBJECTIVES

Type D personality is associated with psychological and physical ill-health. However, there has been limited investigation of the role of Type D personality in interventions designed to enhance well-being. This study investigated associations between Type D personality and the efficacy of positive emotional writing for reducing stress, anxiety, and physical symptoms.

DESIGN

A between-subjects longitudinal design was employed.

METHOD

Participants (N = 71, M_age  = 28.2, SD_age  = 12.4) completed self-report measures of Type D personality, physical symptoms, perceived stress, and trait anxiety, before completing either (1) positive emotional writing or (2) a non-emotive control writing task, for 20 min per day over three consecutive days. State anxiety was measured immediately before and after each writing session, and self-report questionnaires were again administered 4 weeks post-writing.

RESULTS

Participants in the positive emotional writing condition showed significantly greater reductions in (1) state anxiety and (2) both trait anxiety and perceived stress over the 4-week follow-up period, compared to the control group. While these effects were not moderated by Type D personality, a decrease in trait anxiety was particularly evident in participants who reported both high levels of social inhibition and low negative affectivity. Linguistic analysis of the writing diaries showed that Type D personality was positively associated with swear word use, but not any other linguistic categories.

CONCLUSION

These findings support the efficacy of positive emotional writing for alleviating stress and anxiety, but not perceived physical symptoms. Swearing may be a coping strategy employed by high Type D individuals. Statement of contribution What is already known on this subject? Type D (distressed) personality is characterized by high levels of both negative affectivity and social inhibition, and has been associated with adverse physical and psychological health. Positive emotional writing is known to reduce subjectively reported physical symptoms and increase positive affect. What does this study add? Positive emotional writing was shown to attenuate (1) state anxiety immediately post-writing, and (2) trait anxiety and perceived stress 4 weeks post-writing. The findings demonstrate that positive writing might be a useful intervention for attenuating the adverse psychological effects of Type D personality in the general population. Type D personality was associated with more frequent use of swear words, which may be a coping mechanism used by high Type D individuals.

The implicit power motive predicts decisions in line with perceived instrumentality

Past research suggests that the implicit power motive (i.e., an unconsciously held motivational disposition to derive pleasure from having impact on others) predicts a preference to interact with individuals having submissive-looking faces. The present research extends this finding by testing whether the relation between the implicit power motive and approaching submissiveness depends on instrumentality. In two experiments, participants were assigned to a group that would ostensibly compete with another group. Within this intergroup context, they were asked to select persons as leaders or members for the in-group or the out-group. Potential leaders and members were displayed as submissive-looking or dominant-looking. Results showed that the implicit power motive predicted decisions favoring dominant-looking persons as in-group leaders, and submissive-looking persons as out-group leaders (Study 1) or in-group members (Study 2). These findings indicate that the tendency for people high in the implicit power motive to approach submissive-looking persons depends on the perceived instrumentality for gaining influence over others.

Am I who I say I am? Unobtrusive self-representation and personality recognition on Facebook

Across social media platforms users (sub)consciously represent themselves in a way which is appropriate for their intended audience. This has unknown impacts on studies with unobtrusive designs based on digital (social) platforms, and studies of contemporary social phenomena in online settings. A lack of appropriate methods to identify, control for, and mitigate the effects of self-representation, the propensity to express socially responding characteristics or self-censorship in digital settings, hinders the ability of researchers to confidently interpret and generalize their findings. This article proposes applying boosted regression modelling to fill this research gap. A case study of paid Amazon Mechanical Turk workers (n = 509) is presented where workers completed psychometric surveys and provided anonymized access to their Facebook timelines. Our research finds indicators of self-representation on Facebook, facilitating suggestions for its mitigation. We validate the use of LIWC for Facebook personality studies, as well as find discrepancies with extant literature about the use of LIWC-only approaches in unobtrusive designs. Using survey data and LIWC sentiment categories as predictors, the boosted regression model classified the Five Factor personality model with an average accuracy of 74.6%. The contribution of this work is an accurate prediction of psychometric information based on short, informal text.

A Brief Mindfulness Exercise Promotes the Correspondence Between the Implicit Affiliation Motive and Goal Setting

People often choose to pursue goals that are dissociated from their implicit motives, which jeopardizes their motivation and well-being. We hypothesized that mindfulness may attenuate this dissociation to the degree that it increases sensitivity to internal cues that signal one's implicit preferences. We tested this hypothesis with a longitudinal repeated measures experiment. In Session 1, participants' implicit affiliation motive was assessed. In Session 2, half of the participants completed a mindfulness exercise while the other half completed a control task before indicating their motivation toward pursuing affiliation and nonaffiliation goals. In Session 3, this procedure was repeated with reversed assignment to conditions. The results confirmed our hypothesis that, irrespective of the order of the conditions, the implicit affiliation motive predicted a preference to pursue affiliation goals immediately after the mindfulness exercise, but not after the control task. We discuss implications of these findings for satisfaction and well-being.

Effects of dyadic communication on race-based impressions and memory

In an experimental study, we examined the effects of dyadic communication and implicit racial attitudes on impressions formed of Black versus White individuals. Participants viewed a graduate application of a student depicted as a Black or White male and then had a conversation about the applicant with another student (or not) before individually rendering judgments of him. Subjective impressions were more favorable for the Black than White applicant among participants in the communication condition, conversations about Whites included more negations, and participants wrote longer narratives in which they were less likely to mention race when they had previously communicated than when they had not. Communication also disrupted the association between implicit racial attitudes and memory for the applicant’s Graduate Record Examination (GRE) scores: Those with negative racial attitudes remembered the Black applicant as having lower GRE scores than the White applicant, but this effect was eliminated following communication. Findings are discussed with reference to audience tuning, shifting standards, and attitude–behavior consistency models.

The implicit power motive predicts action selection

Previous research has indicated that implicit motives can reliably predict which behaviors people select or decide to perform. However, so far, the question of how these motives are able to predict this action selection process has received little attention. Based on ideomotor theory, we argue that implicit motives can predict action selection when an action has become associated with a motive-congruent (dis)incentive through repeated experiences with the action-outcome relationship. This idea was investigated by examining whether the implicit need for power (nPower) would come to predict action selection (i.e., choosing to press either of two buttons) when these actions had repeatedly resulted in motive-congruent (dis)incentives (i.e., submissive or dominant faces). Both Studies 1 and 2 indicated that participants became more likely to select the action predictive of the motive-congruent outcome as their history with the action-outcome relationship increased. Study 2 indicated that this effect stemmed from both an approach towards incentives and an avoidance of disincentives. These results indicate that implicit motives (particularly the power motive) can predict action selection as a result of learning which actions yield motive-congruent (dis)incentives. Our findings therefore offer a model of how implicit motives can come to predict which behaviors people select to perform.

The Effectiveness of Somatization in Communicating Distress in Korean and American Cultural Contexts

Previous research has documented that Asians tend to somatize negative experiences to a greater degree than Westerners. It is posited that somatization may be a more functional communication strategy in Korean than American context. We examined the effects of somatization in communications of distress among participants from the US and Korea. We predicted that the communicative benefits of somatic words used in distress narratives would depend on the cultural contexts. In Study 1, we found that Korean participants used more somatic words to communicate distress than US participants. Among Korean participants, but not US participants, use of somatic words predicted perceived effectiveness of the communication and expectations of positive reactions (e.g., empathy) from others. In Study 2, we found that when presented with distress narratives of others, Koreans (but not Americans) showed more sympathy in response to narratives using somatic words than narratives using emotional words. These findings suggest that cultural differences in use of somatization may reflect differential effectiveness of somatization in communicating distress across cultural contexts.

If You're House Is Still Available, Send Me an Email: Personality Influences Reactions to Written Errors in Email Messages

The increasing prevalence of social media means that we often encounter written language characterized by both stylistic variation and outright errors. How does the personality of the reader modulate reactions to non-standard text? Experimental participants read ‘email responses’ to an ad for a housemate that either contained no errors or had been altered to include either typos (e.g., teh) or homophonous grammar errors (grammos, e.g., to/too, it’s/its). Participants completed a 10-item evaluation scale for each message, which measured their impressions of the writer. In addition participants completed a Big Five personality assessment and answered demographic and language attitude questions. Both typos and grammos had a negative impact on the evaluation scale. This negative impact was not modulated by age, education, electronic communication frequency, or pleasure reading time. In contrast, personality traits did modulate assessments, and did so in distinct ways for grammos and typos.

A LONGITUDINAL EXAMINATION OF TODDLERS' BEHAVIORAL CUES AS A FUNCTION OF SUBSTANCE-ABUSING MOTHERS' DISENGAGEMENT

As a group, substance-abusing parents are at risk for maladaptive parenting. The association between substance abuse and parenting may result, in part, from parents' emotional disengagement from the parent-child relationship, which makes perceiving and responding to children's cues more challenging. In this study, we examined whether substance-abusing mothers' levels of disengagement from their relationship with their children (ages 2-44 months), operationalized in two different ways using parenting narratives (representational and linguistic disengagement), prospectively predicted children's engagement and disengagement cues during a structured mother-child interaction. Within a sample of 29 mothers, we tested the hypotheses that greater maternal disengagement at Time 1 would predict a decrease in children's engagement and an increase in children's disengagement at Time 2. Results indicated that representational disengagement predicted a decrease in children's engagement cues whereas linguistic disengagement predicted an increase in children's disengagement cues. Results provide partial support for a reciprocal, iterative process in which mothers and children mutually adjust their emotional and behavioral disengagement with one another.

Positive Emotional Language in the Final Words Spoken Directly Before Execution

How do individuals emotionally cope with the imminent real-world salience of mortality? DeWall and Baumeister as well as Kashdan and colleagues previously provided support that an increased use of positive emotion words serves as a way to protect and defend against mortality salience of one’s own contemplated death. Although these studies provide important insights into the psychological dynamics of mortality salience, it remains an open question how individuals cope with the immense threat of mortality prior to their imminent actual death. In the present research, we therefore analyzed positivity in the final words spoken immediately before execution by 407 death row inmates in Texas. By using computerized quantitative text analysis as an objective measure of emotional language use, our results showed that the final words contained a significantly higher proportion of positive than negative emotion words. This emotional positivity was significantly higher than (a) positive emotion word usage base rates in spoken and written materials and (b) positive emotional language use with regard to contemplated death and attempted or actual suicide. Additional analyses showed that emotional positivity in final statements was associated with a greater frequency of language use that was indicative of self-references, social orientation, and present-oriented time focus as well as with fewer instances of cognitive-processing, past-oriented, and death-related word use. Taken together, our findings offer new insights into how individuals cope with the imminent real-world salience of mortality.

The feeling of the story: Narrating to regulate anger and sadness

Admonitions to tell one's story in order to feel better reflect the belief that narrative is an effective emotion regulation tool. The present studies evaluate the effectiveness of narrative for regulating sadness and anger, and provide quantitative comparisons of narrative with distraction, reappraisal, and reexposure. The results for sadness (n = 93) and anger (n = 89) reveal that narrative is effective at down-regulating negative emotions, particularly when narratives place events in the past tense and include positive emotions. The results suggest that if people tell the "right" kind of story about their experiences, narrative reduces emotional distress linked to those experiences.

Don't worry, be (moderately) happy: Mothers' anxiety and positivity during pregnancy independently predict lower mother-infant synchrony

Maternal positivity and mother-infant synchrony have been linked, independently, to beneficial infant outcomes; however, research that has examined relations between the two has found that higher positivity is associated with lower synchrony. Methodological issues may inform this counter-intuitive association and clinical theory supports its validity. This study examined the theory that heightened positivity associated with anxiety is a way of avoiding negative emotion and contributes to lower synchrony because it interferes with appropriate responding to infant cues. We examined mothers' (N=75) self-reported anxiety and verbal expression of positivity during pregnancy in relation to mother-infant synchrony at 6 months post-partum. Verbal positivity was assessed using linguistic analysis of interviews about pregnancy experiences. Mother and infant affect and gaze were coded during interaction and synchrony was computed as the correlation between mother and infant behaviors. Higher verbal positivity and anxiety during pregnancy independently predicted lower mother-infant synchrony, suggesting distinct pathways to the same degree of synchrony with potentially different consequences for infant development.

Hanging by a thread: exploring the features of nonresponse in an online young adult cancer survivorship support community

PURPOSE

Finding helpful information can be challenging for young adult (YA) cancer survivors; thus, it is critical to examine features of online posts that successfully solicit responses and assess how these differ from posts that do not solicit responses.

METHODS

Using posts from an online YA cancer support community, we analyzed initial posts that did and did not receive replies utilizing Linguistic Inquiry Word Count (LIWC).

RESULTS

Independent t tests revealed significant differences between the sets of posts regarding content, emotions, cognitive processes, pronoun use, and linguistic complexity. More specifically, posts with replies contained fewer words per sentence, had more first-person pronouns, had more expressions of negative emotions, and contained more present tense and past tense verbs.

CONCLUSIONS

The findings of this study can help improve peer-exchanged support in online communities so that YA cancer survivors can more effectively receive digital support. This research also provides communication researchers, health educators, and care providers a lens for understanding the YA cancer survivorship experience.

IMPLICATIONS FOR CANCER SURVIVORS

This research helps survivors be strategic in how they use online forums to seek advice and support. More complete understanding of what kinds of prompts produce responses allows those in need to craft messages in ways that are most likely to elicit support from fellow cancer survivors. These implications for message design extend beyond blogging and can be applicable for text message and email exchanges between cancer patients and their care providers.

Understanding Confounding Effects in Linguistic Coordination: An Information-Theoretic Approach

We suggest an information-theoretic approach for measuring stylistic coordination in dialogues. The proposed measure has a simple predictive interpretation and can account for various confounding factors through proper conditioning. We revisit some of the previous studies that reported strong signatures of stylistic accommodation, and find that a significant part of the observed coordination can be attributed to a simple confounding effect--length coordination. Specifically, longer utterances tend to be followed by longer responses, which gives rise to spurious correlations in the other stylistic features. We propose a test to distinguish correlations in length due to contextual factors (topic of conversation, user verbosity, etc.) and turn-by-turn coordination. We also suggest a test to identify whether stylistic coordination persists even after accounting for length coordination and contextual factors.

Speaking under pressure: low linguistic complexity is linked to high physiological and emotional stress reactivity

What can a speech reveal about someone's state? We tested the idea that greater stress reactivity would relate to lower linguistic cognitive complexity while speaking. In Study 1, we tested whether heart rate and emotional stress reactivity to a stressful discussion would relate to lower linguistic complexity. In Studies 2 and 3, we tested whether a greater cortisol response to a standardized stressful task including a speech (Trier Social Stress Test) would be linked to speaking with less linguistic complexity during the task. We found evidence that measures of stress responsivity (emotional and physiological) and chronic stress are tied to variability in the cognitive complexity of speech. Taken together, these results provide evidence that our individual experiences of stress or "stress signatures"-how our body and mind react to stress both in the moment and over the longer term-are linked to how complex our speech under stress.

Are implicit motives revealed in mere words? Testing the marker-word hypothesis with computer-based text analysis

Traditionally, implicit motives (i.e., non-conscious preferences for specific classes of incentives) are assessed through semantic coding of imaginative stories. The present research tested the marker-word hypothesis, which states that implicit motives are reflected in the frequencies of specific words. Using Linguistic Inquiry and Word Count (LIWC; Pennebaker et al., 2001), Study 1 identified word categories that converged with a content-coding measure of the implicit motives for power, achievement, and affiliation in picture stories collected in German and US student samples, showed discriminant validity with self-reported motives, and predicted well-validated criteria of implicit motives (gender difference for the affiliation motive; in interaction with personal-goal progress: emotional well-being). Study 2 demonstrated LIWC-based motive scores' causal validity by documenting their sensitivity to motive arousal.

The relationship between implicit and explicit motives, goal pursuit, and autobiographical memory content during a diary study

This online diary study investigated how motives interact with goal pursuit to predict daily autobiographical experiences. Participants (N =141) completed measures of implicit and explicit achievement, provided daily memories and reports of their goal pursuit during a three-week diary period. A stronger implicit achievement motive at the onset of the study was associated with more agentic (and fewer communal) autobiographical content. Goal progress was linked with using more agentic words, while goal attainability was related to using more communal words. Interactions between motives and goal pursuit on autobiographical memory suggests a trade-off: Favorable goal pursuit conditions may prompt people not motivated for achievement to shift their focus from agentic to communal themes, while individuals motivated for achievement maintain their priorities.

Influences of parent and child negative emotionality on young children's everyday behaviors

Negative emotionality is linked to unfavorable life outcomes, but studies have yet to examine negative emotionality of parents and children as predictors of children's problem behaviors and negative emotion word use in everyday life. This study used a novel naturalistic recording device called the Electronically Activated Recorder to investigate the separate and interactive influences of parent and child negative emotionality on daily child behaviors in a sample of 35 preschool-aged children over two time points separated by 1 year. Fathers' negative emotionality predicted children's whining at Time 1; mothers' negative emotionality predicted children's negative emotion word use at Time 1 and increases in children's arguing/fighting from Time 1 to Time 2. Parents' ratings of child negative emotionality also were associated with increases in children's arguing/fighting from Time 1 to Time 2, and child negative emotionality moderated the association between mothers' negative emotionality and children's arguing/fighting. Further, children with mothers high in negative emotionality displayed higher levels of problem behaviors when their mothers self-reported low levels of positive emotional expressiveness and/or high levels of negative emotional expressiveness. These findings offer preliminary evidence linking parent and child negative emotionality to everyday child behaviors and suggest that emotional expressiveness may play a key role in moderating the links between maternal negative emotionality and child behavioral problems.

Linguistic analysis to assess the effect of a mindfulness intervention on self-change for adults in substance use recovery

Substance use is a pervasive health problem. Therapeutic community (TC) is an established substance abuse treatment but TC environments are stressful and dropout rates are high. Mindfulness-based TC (MBTC) intervention was developed to address TC stress and support self-change that could impact treatment retention. Self-change was assessed through feeling and thinking word-use in written stories of stress from 140 TC residents in a historical control group and 253 TC residents in a MBTC intervention group. Data were collected 5 times over a 9-month period. Linguistic analysis showed no differences between the groups over time; however, over all time points, the MBTC intervention group used fewer negative emotion words than the TC control group. Also, negative emotion (P < .01) and anxiety (P < .01) word-use decreased whereas positive emotion word-use increased (P < .05) over time in both groups. Descriptive data from linguistic analyses indicated that sustained self-change demands participation in mindfulness behaviors beyond the instructor-guided MBTC intervention.

Personality in 100,000 Words: A large-scale analysis of personality and word use among bloggers

Previous studies have found systematic associations between personality and individual differences in word use. Such studies have typically focused on broad associations between major personality domains and aggregate word categories, potentially masking more specific associations. Here I report the results of a large-scale analysis of personality and word use in a large sample of blogs (N=694). The size of the dataset enabled pervasive correlations with personality to be identified for a broad range of lexical variables, including both aggregate word categories and individual English words. The results replicated category-level findings from previous offline studies, identified numerous novel associations at both a categorical and single-word level, and underscored the value of complementary approaches to the study of personality and word use.