Computergestützte quantitative Textanalyse

LEXpander: Applying colexification networks to automated lexicon expansion

Recent approaches to text analysis from social media and other corpora rely on word lists to detect topics, measure meaning, or to select relevant documents. These lists are often generated by applying computational lexicon expansion methods to small, manually curated sets of seed words. Despite the wide use of this approach, we still lack an exhaustive comparative analysis of the performance of lexicon expansion methods and how they can be improved with additional linguistic data. In this work, we present LEXpander, a method for lexicon expansion that leverages novel data on colexification, i.e., semantic networks connecting words with multiple meanings according to shared senses. We evaluate LEXpander in a benchmark including widely used methods for lexicon expansion based on word embedding models and synonym networks. We find that LEXpander outperforms existing approaches in terms of both precision and the trade-off between precision and recall of generated word lists in a variety of tests. Our benchmark includes several linguistic categories, as words relating to the financial area or to the concept of friendship, and sentiment variables in English and German. We also show that the expanded word lists constitute a high-performing text analysis method in application cases to various English corpora. This way, LEXpander poses a systematic automated solution to expand short lists of words into exhaustive and accurate word lists that can closely approximate word lists generated by experts in psychology and linguistics.

Linguistic Variables and Gender Differences Within a Messenger-Based Psychosocial Chat Counseling Service for Children and Adolescents: Cross-Sectional Study

BACKGROUND

Text messaging is widely used by young people for communicating and seeking mental health support through chat-based helplines. However, written communication lacks nonverbal cues, and language usage is an important source of information about a person's mental health state and is known to be a marker for psychopathology.

OBJECTIVE

The aim of the study was to investigate language usage, and its gender differences and associations with the presence of psychiatric symptoms within a chat counseling service for adolescents and young adults.

METHODS

For this study, the anonymized chat content of a German messenger-based psychosocial chat counseling service for children and adolescents ("krisenchat") between May 2020 and July 2021 was analyzed. In total, 661,131 messages from 6962 users were evaluated using Linguistic Inquiry and Word Count, considering the following linguistic variables: first-person singular and plural pronouns, negations, positive and negative emotion words, insight words, and causation words. Descriptive analyses were performed, and gender differences of those variables were evaluated. Finally, a binary logistic regression analysis examined the predictive value of linguistic variables on the presence of psychiatric symptoms.

RESULTS

Across all analyzed chats, first-person singular pronouns were used most frequently (965,542/8,328,309, 11.6%), followed by positive emotion words (408,087/8,328,309, 4.9%), insight words (341,460/8,328,309, 4.1%), negations (316,475/8,328,309, 3.8%), negative emotion words (266,505/8,328,309, 3.2%), causation words (241,520/8,328,309, 2.9%), and first-person plural pronouns (499,698/8,328,309, 0.6%). Female users and users identifying as diverse used significantly more first-person singular pronouns and insight words than male users (both P<.001). Negations were significantly more used by female users than male users or users identifying as diverse (P=.007). Similar findings were noted for negative emotion words (P=.01). The regression model of predicting psychiatric symptoms by linguistic variables was significant and indicated that increased use of first-person singular pronouns (odds ratio [OR] 1.05), negations (OR 1.11), and negative emotion words (OR 1.15) was positively associated with the presence of psychiatric symptoms, whereas increased use of first-person plural pronouns (OR 0.39) and causation words (OR 0.90) was negatively associated with the presence of psychiatric symptoms. Suicidality, self-harm, and depression showed the most significant correlations with linguistic variables.

CONCLUSIONS

This study highlights the importance of examining linguistic features in chat counseling contexts. By integrating psycholinguistic findings into counseling practice, counselors may better understand users' psychological processes and provide more targeted support. For instance, certain linguistic features, such as high use of first-person singular pronouns, negations, or negative emotion words, may indicate the presence of psychiatric symptoms, particularly among female users and users identifying as diverse. Further research is needed to provide an in-depth look into language processes within chat counseling services.

[On the Narrative about Vincent van Gogh's End of Life - Psychological Processes in his Letters]

This text presents a study that examines van Gogh's suicidality quantitatively content-analytically for the first time over the entire period of his correspondence using the program Linguistic Inquiry and Word Count (LIWC 2015). An index of variables was formed to capture suicidality in life stages. The results argue against the narrative about van Gogh's suicide and reinforce the assumption in recent research that his death was the result of an accident or homicide. The suicidality index developed in this study - once validated and in combination with other methods - could be relevant for diagnostics in medical psychology and forensic medicine.

Computerized text and voice analysis of patients with chronic schizophrenia in art therapy

This explorative study of patients with chronic schizophrenia aimed to clarify whether group art therapy followed by a therapist-guided picture review could influence patients' communication behaviour. Data on voice and speech characteristics were obtained via objective technological instruments, and these characteristics were selected as indicators of communication behaviour. Seven patients were recruited to participate in weekly group art therapy over a period of 6 months. Three days after each group meeting, they talked about their last picture during a standardized interview that was digitally recorded. The audio recordings were evaluated using validated computer-assisted procedures, the transcribed texts were evaluated using the German version of the LIWC2015 program, and the voice recordings were evaluated using the audio analysis software VocEmoApI. The dual methodological approach was intended to form an internal control of the study results. An exploratory factor analysis of the complete sets of output parameters was carried out with the expectation of obtaining typical speech and voice characteristics that map barriers to communication in patients with schizophrenia. The parameters of both methods were thus processed into five factors each, i.e., into a quantitative digitized classification of the texts and voices. The factor scores were subjected to a linear regression analysis to capture possible process-related changes. Most patients continued to participate in the study. This resulted in high-quality datasets for statistical analysis. To answer the study question, two results were summarized: First, text analysis factor called Presence proved to be a potential surrogate parameter for positive language development. Second, quantitative changes in vocal emotional factors were detected, demonstrating differentiated activation patterns of emotions. These results can be interpreted as an expression of a cathartic healing process. The methods presented in this study make a potentially significant contribution to quantitative research into the effectiveness and mode of action of art therapy.

CH-Bench: a user-oriented benchmark for systems for efficient distant reading (design, performance, and insights)

Data science deals with the discovery of information from large volumes of data. The data studied by scientists in the humanities include large textual corpora. An important objective is to study the ideas and expectations of a society regarding specific concepts, like “freedom” or “democracy,” both for today’s society and even more for societies of the past. Studying the meaning of words using large corpora requires efficient systems for text analysis, so-called distant reading systems. Making such systems efficient calls for a specification of the necessary functionality and clear expectations regarding typical work loads. But this currently is unclear, and there is no benchmark to evaluate distant reading systems. In this article, we propose such a benchmark, with the following innovations: As a first step, we collect and structure various information needs of the target users. We then formalize the notion of word context to facilitate the analysis of specific concepts. Using this notion, we formulate queries in line with the information needs of users. Finally, based on this, we propose concrete benchmark queries. To demonstrate the benefit of our benchmark, we conduct an evaluation, with two objectives. First, we aim at insights regarding the content of different corpora, i.e., whether and how their size and nature (e.g., popular and broad literature or specific expert literature) affect results. Second, we benchmark different data management technologies. This has allowed us to identify performance bottlenecks.

Towards gender-inclusive job postings: A data-driven comparison of augmented writing technologies

Job advertisements are often worded in ways that might pose discrimination risks leading to the exclusion of certain groups of applicants, particularly in relation to their gender. Especially in male-dominated professions or leadership roles, the specific linguistic formulation of job postings acquires relevance if more women are to be attracted to apply. Various technologies have emerged that offer automated text screening, some of them even suggesting alternative formulations to increase gender inclusivity. In this study we analyze four software providers on the German market using a corpus of ∼160, 000 job ads from three different platforms. We identify the relevant social psychological research on gender and language that is at the scientific core of these technologies. We show that, despite sharing a common foundation, the four tools assess the potential for exclusion in job postings in a considerably divergent way on multiple levels of comparison. We discuss the levers in the software pipeline of all four technologies, as well as the potential effect of certain implementation decisions, such as string-based vs. semantic approaches to computational processing of natural language. We argue that the ‘technological translation’ of research is extremely involved and further studies of its use in practice are needed to assess the potential for more gender equality.

Validating daily social media macroscopes of emotions

Measuring sentiment in social media text has become an important practice in studying emotions at the macroscopic level. However, this approach can suffer from methodological issues like sampling biases and measurement errors. To date, it has not been validated if social media sentiment can actually measure the temporal dynamics of mood and emotions aggregated at the level of communities. We ran a large-scale survey at an online newspaper to gather daily mood self-reports from its users, and compare these with aggregated results of sentiment analysis of user discussions. We find strong correlations between text analysis results and levels of self-reported mood, as well as between inter-day changes of both measurements. We replicate these results using sentiment data from Twitter. We show that a combination of supervised text analysis methods based on novel deep learning architectures and unsupervised dictionary-based methods have high agreement with the time series of aggregated mood measured with self-reports. Our findings indicate that macro level dynamics of mood expressed on an online platform can be tracked with social media text, especially in situations of high mood variability.

The development and validation of the Romanian version of Linguistic Inquiry and Word Count 2015 (Ro-LIWC2015)

Today, performing automatic language analysis to extract meaning from natural language is one of the top-notch directions in social science research, but it can be challenging. Linguistic Inquiry and Word Count 2015 (LIWC2015; Pennebaker et al. 2015) is one of the most versatile, yet easy to master instruments to transform any text into data, meeting the needs of psychologists who are not usually proficient in data science. Moreover, LIWC2015 is already available in multiple languages, which opens the door to exciting intercultural quests. The current article introduces the first Romanian version of LIWC2015, Ro-LIWC2015, and thus, contributes to the line of research concerning multilingual analysis. Throughout the paper, we describe the challenges of creating the Romanian dictionary and discuss other linguistics aspects, which could be useful for new adaptations of LIWC2015. Also, we present the results of two studies for assessing the criterion validity of Ro-LIWC2015. The first study focuses on the consistency between the Romanian and the English dictionaries in analyzing a corpus of books. The second study tests whether Ro-LIWC2015 can acquire linguistic differences in contrasting corpora. For this purpose, we analyzed posts from help-seeking forums for anxiety, depression, and health issues, and leveraged supervised learning to address several classification problems. The selected algorithm allows feature ranking, which facilitates more thorough interpretations. The linguistic markers extracted with Ro-LIWC2015 mirrored a number of disorder-specific features of depression and anxiety. Given the obtained results, this research encourages the use of Ro-LIWC2015 for hypothesis testing.

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.

Cognitive-affective responses to online positive-psychological interventions: The effects of optimistic, grateful, and self-compassionate writing

Growing evidence suggests that online positive-psychological interventions effectively increase well-being, and a wealth of evidence describes cognitive-affective responses to such interventions. Few studies, however, have directly compared responses across popular exercises such as the best-possible-self intervention, the gratitude letter, or self-compassionate writing. In addition, current evidence is ambiguous regarding the effects of potential moderator variables such as trait gratitude and emotional self-awareness. To address these issues, we randomized 432 German adults to perform either optimism, gratitude, self-compassion, or control writing interventions in an online setting. Participants reported trait gratitude and trait emotional self-awareness before the interventions, as well as momentary optimism, gratitude, self-compassion, positive affect, and current thoughts immediately after the interventions. Results indicate higher momentary optimism after the best-possible-self intervention and higher momentary gratitude after the gratitude letter than after the control task. There were no differences when comparing the best-possible-self intervention with the gratitude letter. Both interventions increased the number of positive self-relevant thoughts. The self-compassion condition showed no effects. Moderation analysis results indicate that neither emotional self-awareness nor trait gratitude moderated the intervention effects. Future studies should compare responses across different positive-psychological interventions using more comprehensive exercises to ensure larger effects.

A laboratory medical anamnesis interview elicits psychological and physiological arousal

Since medical communication can be perceived as stressful, the assessment of patients' physiological arousal and behavior during anamnesis interviews may lead to a better understanding of doctor-patient interactions. Therefore, the aim of this study was to test physiological arousal and word use in a laboratory anamnesis interview. In total, sixty-five participants with a mean age of 25.0 years were randomly assigned either to an experimental group (n = 35, 65.7% women) in which they underwent an anamnesis interview or to a control group (n = 30, 73.3% women). Physiological arousal was assessed by salivary cortisol, salivary alpha-amylase (sAA), heart rate (HR) and heart rate variability (HRV). Psychological arousal was assessed using the Positive and Negative Affect Schedule (PANAS). Anamnesis interviews were analyzed using the Linguistic Inquiry and Word Count text analysis tool (LIWC). Participants of the experimental group showed an increase of sAA, HR and negative affect (p's ≤.0.05). Moreover, higher cortisol area under the curve with respect to ground (AUCg) was associated with lesser use of positive emotion words during the interview and subsequent higher negative affect (p's <.05). These results indicate that talking about one's own and family's medical history in anamnesis interview induces physiological arousal. Our findings suggest that anamnesis interviews could not only induce higher negative affect, but also induce physiological arousal, underscoring the importance of good doctor-patient communication.

Predicting acute suicidal ideation on Instagram using ensemble machine learning models

INTRODUCTION

Online social networking data (SN) is a contextually and temporally rich data stream that has shown promise in the prediction of suicidal thought and behavior. Despite the clear advantages of this digital medium, predictive modeling of acute suicidal ideation (SI) currently remains underdeveloped. SN data, in conjunction with robust machine learning algorithms, may offer a promising way forward.

METHODS

We applied an ensemble machine learning model on a previously published dataset of adolescents on Instagram with a prior history of lifetime SI (N = 52) to predict SI within the past month. Using predictors that capture language use and activity within this SN, we evaluated the performance of our out-of-sample, cross-validated model against previous efforts and leveraged a model explainer to further probe relative predictor importance and subject-level phenomenology.

RESULTS

Linguistic and SN data predicted acute SI with an accuracy of 0.702 (sensitivity = 0.769, specificity = 0.654, AUC = 0.775). Model introspection showed a higher proportion of SN-derived predictors with substantial impact on prediction compared with linguistic predictors from structured interviews. Further analysis of subject-specific predictor importance uncovered potentially informative trends for future acute SI risk prediction.

CONCLUSION

Application of ensemble learning methodologies to SN data for the prediction of acute SI may mitigate the complexities and modeling challenges of SI that exist within these time scales. Future work is needed on larger, more heterogeneous populations to fine-tune digital biomarkers and more robustly test external validity.

Measuring Negative Emotion Differentiation Via Coded Descriptions of Emotional Experience

Emotion differentiation (ED) has been defined in terms of two abilities: (a) making fine-grained distinctions between emotional experiences, and (b) describing individual emotional experiences with a high degree of nuance and specificity. Research to date has almost exclusively focused on the former, with little attention paid to the latter. The current study sought to address this discrepant focus by testing two novel measures of negative ED (i.e., based on negatively valenced emotions only) via coded open-ended descriptions of individual emotional experiences, both past and present. As part of a larger study, 307 participants completed written descriptions of two negative emotional experiences, as well as a measure of emotion regulation difficulties and indices of psychopathological symptom severity. Negative ED ability, as measured via consistency between emotional experiences, was found to be unrelated to negative ED ability exhibited via coding of language within experiences. Within-experience negative ED may offer an incrementally adaptive function to that of ED between emotional experiences. Implications for ED theory are discussed.

Ambulatory assessment of language use: Evidence on the temporal stability of Electronically Activated Recorder and stream of consciousness data

The ambulatory assessment offers a wide range of methods enabling researchers to investigate psychological, behavioral, emotional, and biological processes. These methods enable us to gather data on individual differences in language use for psychological research. Two studies were conducted with an aim to evaluate and compare the temporal stability of language measures extracted by LIWC software form data obtained by two frequently used methods for assessment of language use, i.e., Electronically Activated Recorder (EAR) and stream of consciousness (SOC) task. Additionally, we examined the amount of variance in language use (assessed by both methods) that can be attributed to intra-individual variability and stable individual differences. Study 1 was focused on investigating language use obtained from 74 respondents using the EAR for 3 consecutive days. Study 2 was conducted on 250 respondents participating in a SOC task where verbal production was collected at ten time points over a 2-month period. Results show that measures obtained using the SOC task have higher temporal stability and consistency, and to a certain extent enable better detection of individual differences. Taking into account certain situational variations improves the reliability of EAR measures.

News media representations of women who kill their newly born children

This paper presents a first quantitative analysis of language in media reports of neonaticide and a comparative examination of language use within the reports. One thousand twenty-seven Austrian print media reports from 2004 to 2014 were retrieved; after exclusion, 331 were analysed using the Linguistic Inquiry and Word Count (LIWC) software. After a preliminary analysis, a comparative analysis was carried out between reports on the Graz case and all other cases. The preliminary analysis revealed that a majority of media reports were related to one repeat neonaticide case (Graz) despite not being clinically different from other cases identified for the same period. The comparative linguistic analysis shows some statistically significant differences relating to the domains of emotional words (less words of anxiety, sadness) and family and in the category of insight and certainty (more words). The unexpected media attention on the Graz case and the ensuing verdict, which was in contradiction with the Austrian infanticide act, might have been influenced by the way language was used by journalists and the media. The authors suggest guidelines on sensitive media reporting are required.

Development of a Novel Method of Emotion Differentiation That Uses Open-Ended Descriptions of Momentary Affective States

Emotion differentiation (ED) has been conceptualized as a trait that facilitates emotion regulation and increases well-being. Yet basic questions remain unanswered about how best to assess it and whether favorable outcomes can be observed only during times of stress. The goal of the present research was to develop a novel behavioral (specificity) index of ED. We conducted two daily diary studies (N = 111-190) in which we included different measures of ED, well-being, and emotion regulation. The different ED measures were largely unrelated to each other. In both studies, the specificity index of ED showed a positive association with daily well-being, but in Study 2, this association held only on days with a negative event. Results regarding ED and the use of emotion-regulation strategies were inconsistent across strategies and studies. Possible reasons for these mixed results (e.g., sample selection, context sensitivity of regulation strategies) are discussed.

Dashboard of Sentiment in Austrian Social Media During COVID-19

To track online emotional expressions on social media platforms close to real-time during the COVID-19 pandemic, we built a self-updating monitor of emotion dynamics using digital traces from three different data sources in Austria. This allows decision makers and the interested public to assess dynamics of sentiment online during the pandemic. We used web scraping and API access to retrieve data from the news platform derstandard.at, Twitter, and a chat platform for students. We documented the technical details of our workflow to provide materials for other researchers interested in building a similar tool for different contexts. Automated text analysis allowed us to highlight changes of language use during COVID-19 in comparison to a neutral baseline. We used special word clouds to visualize that overall difference. Longitudinally, our time series showed spikes in anxiety that can be linked to several events and media reporting. Additionally, we found a marked decrease in anger. The changes lasted for remarkably long periods of time (up to 12 weeks). We have also discussed these and more patterns and connect them to the emergence of collective emotions. The interactive dashboard showcasing our data is available online at http://www.mpellert.at/covid19_monitor_austria/. Our work is part of a web archive of resources on COVID-19 collected by the Austrian National Library.

MEmoFC: introducing the Multilingual Emotional Football Corpus

This paper introduces a new corpus of paired football match reports, the Multilingual Emotional Football Corpus, (MEmoFC), which has been manually collected from English, German, and Dutch websites of individual football clubs to investigate the way different emotional states (e.g. happiness for winning and disappointment for losing) are realized in written language. In addition to the reports, it also contains the statistics for the selected matches. MEmoFC is a corpus consisting of comparable subcorpora since the authors of the texts report on the same event from two different perspectives—the winner’s and the loser’s side, and from an arguably more neutral perspective in tied matches. We demonstrate how the corpus can be used to investigate the influence of affect on the reports through different approaches and illustrate how game outcome influences (1) references to the own team and the opponent, and (2) the use of positive and negative emotion terms in the different languages. The MEmoFC corpus, together with the analyzed aspects of emotional language will open up new approaches for targeted automatic generation of texts.

Reflecting on Existential Threats Elicits Self-Reported Negative Affect but No Physiological Arousal

There is mixed evidence whether reflecting on an existential threat increases negative affect and thereby elicits subjective arousal and physiological activation. Additionally, it is debated whether different existential and non-existential threats elicit different arousal responses, although systematic comparisons are lacking. The current study explored affective, subjective, and physiological arousal responses while comparing several existential threats with a non-existential threat and with a control condition. One-hundred-and-seventy-one undergraduate students were randomly allocated to one of four existential threat conditions: mortality salience (MS), freedom restriction, uncontrollability, and uncertainty; or to the non-existential threat condition: social-evaluative threat (SET); or to a control condition (TV salience). Self-reported positive/negative affect was measured before and after reflection, while subjective arousal and physiological activation (electrodermal, cardiovascular, and respiratory) were measured on a high time-scale during baseline and reflection. Results showed larger increases in self-reported negative affect, as compared to the control condition, for all existential threat conditions, while there were no differences between the control condition and threat conditions regarding positive affect, subjective arousal, skin conductance, respiratory rate, and respiratory sinus arrythmia. There were subtle differences between existential and non-existential threat conditions, most notably in affective responses. Correlations showed positive associations between negative affect and subjective arousal and between trait avoidance and subjective arousal. This study is the first to systematically compare affective, subjective, and physiological changes in arousal due to reflecting on different existential threats, as well as one non-existential threat. We showed that, as compared to a control condition, reflecting on threats has a large impact on negative affect, but no significant impact on positive affect, subjective arousal, and physiological activation.

Media Bias in German News Articles: A Combined Approach

Slanted news coverage, also called media bias, can heavily influence how news consumers interpret and react to the news. Models to identify and describe biases have been proposed across various scientific fields, focusing mostly on English media. In this paper, we propose a method for analyzing media bias in German media. We test different natural language processing techniques and combinations thereof. Specifically, we combine an IDF-based component, a specially created bias lexicon, and a linguistic lexicon. We also flexibly extend our lexica by the usage of word embeddings. We evaluate the system and methods in a survey (N = 46), comparing the bias words our system detected to human annotations. So far, the best component combination results in an F$$_{1}$$ 1 score of 0.31 of words that were identified as biased by our system and our study participants. The low performance shows that the analysis of media bias is still a difficult task, but using fewer resources, we achieved the same performance on the same task than recent research on English. We summarize the next steps in improving the resources and the overall results.

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.

Can acute suicidality be predicted by Instagram data? Results from qualitative and quantitative language analyses

BACKGROUND

Social media has become increasingly important for communication among young people. It is also often used to communicate suicidal ideation.

AIMS

To investigate the link between acute suicidality and language use as well as activity on Instagram.

METHOD

A total of 52 participants, aged on average around 16 years, who had posted pictures of non-suicidal self-injury on Instagram, and reported a lifetime history of suicidal ideation, were interviewed using Instagram messenger. Of those participants, 45.5% reported suicidal ideation on the day of the interview (acute suicidal ideation). Qualitative text analysis (software ATLAS.ti 7) was used to investigate experiences with expressions of active suicidal thoughts on Instagram. Quantitative text analysis of language use in the interviews and directly on Instagram (in picture captions) was performed using the Linguistic Inquiry and Word Count software. Language markers in the interviews and in picture captions, as well as activity on Instagram were added to regression analyses, in order to investigate predictors for current suicidal ideation.

RESULTS

Most participants (80%) had come across expressions of active suicidal thoughts on Instagram and 25% had expressed active suicidal thoughts themselves. Participants with acute suicidal ideation used significantly more negative emotion words (Cohen's d = 0.66, 95% CI: 0.088-1.232) and words expressing overall affect (Cohen's d = 0.57, 95% CI: 0.001-1.138) in interviews. However, activity and language use on Instagram did not predict acute suicidality.

CONCLUSIONS

While participants differed with regard to their use of language in interviews, differences in activity and language use on Instagram were not associated with acute suicidality. Other mechanisms of machine learning, like identifying picture content, might be more valuable.

Language and Emotion - A Foosball Study: The Influence of Affective State on Language Production in a Competitive Setting

Our affective state is influenced by daily events and our interactions with other people, which, in turn, can affect the way we communicate. In two studies, we investigated the influence of experiencing success or failure in a foosball (table soccer) game on participants’ affective state and how this in turn influenced the way they report on the game itself. Winning or losing a match can further influence how they view their own team (compared to the opponent), which may also impact how they report on the match. In Study 1, we explored this by having participants play foosball matches in two dyads. They subsequently reported their affective state and team cohesiveness, and wrote two match reports, one from their own and one from their opponent’s perspective. Indeed, while the game generally improved participants’ moods, especially winning made them happier and more excited and losing made them more dejected, both in questionnaires and in the reports, which were analyzed with a word count tool. Study 2 experimentally investigated the effect of affective state on focus and distancing behavior. After the match, participants chose between preselected sentences (from Study 1) that differed in focus (mentioning the own vs. other team) or distancing (using we vs. the team name). Results show an effect for focus: winning participants preferred sentences that described their own performance positively while losing participants chose sentences that praised their opponent over negative sentences about themselves. No effect of distancing in pronoun use was found: winning and losing participants equally preferred the use of we vs. the use of their own team name. We discuss the implications of our findings with regard to models of language production, the self-serving bias, and the use of games to induce emotions in a natural way.

My Sadness - Our Happiness: Writing About Positive, Negative, and Neutral Autobiographical Life Events Reveals Linguistic Markers of Self-Positivity and Individual Well-Being

Objective: Narratives of autobiographical events contain rich information about an individual's private experience, his/her deepest thoughts, feelings, and emotions. The present study investigates linguistic markers of emotion expression and subjective well-being in adults during one session of positive, negative, and neutral expressive writing. Participants (N = 28 healthy participants, N = 7 adults with depressive symptoms), all native speakers of German were instructed to write expressively about personally relevant autobiographical life events of negative, positive, and neutral content. Methods: Quantitative text analysis was performed to determine the amount of emotional words, first person pronouns (singular vs. plural), and cognitive function words used in positive, negative, and neutral narratives and to examine the potency of these classes of words as linguistic markers of positivity/negativity, self-reference, and cognitive reappraisal. Additionally, the relationship between expressive writing and subjective well-being was explored by assessing changes in self-reported psychosomatic symptoms and in bodily and emotional awareness immediately after positive, negative, and neutral writing. Results: Regarding healthy participants, negative narratives contained significantly more negative emotional words than positive or neutral narratives. However, negative narratives also contained more positive emotional words compared to negative emotional words in positive narratives. Moreover, negative narratives contained more cognitive function words than positive narratives, suggesting that healthy participants tried to reappraise negative experiences while writing about negative personal life events. Positive narratives were characterized by an increased use of positive words and of pronouns of the first person plural ("we"), supporting a positivity bias and an extension of self-reference from first person singular to plural (we-reference) during positive expressive writing. Similarly, writing about neutral events was characterized by a positivity bias. Although based on descriptive analysis only, preferential use of positive words and cognitive function words in negative narratives was absent in participants reporting depressive symptoms. Positive, negative, and neutral expressive writing was accompanied by differential changes in bodily sensations, emotional awareness, and self-reported psychosomatic symptoms in all participants. Discussion: The findings are discussed with respect to previous research, a self-positivity bias, and a universal positivity bias in language use highlighting the relevance of these biases as markers of subjective well-being.

Performance Assessment of Emergency Teams and Communication in Trauma Care (PERFECT checklist)-Explorative analysis, development and validation of the PERFECT checklist: Part of the prospective longitudinal mixed-methods EPPTC trial

BACKGROUND

Trainings in emergency medicine are well structured, but examinations are rarely validated. We are evaluating the impact of pre-hospital emergency trainings on participants and patient care and developed and validated a checklist to assess emergency trainings.

METHODS

We used videos recorded at the time points directly before (t0), directly after (t1), and one year after (t2) training to develop the PERFECT checklist (Performance Assessment of Emergency Teams and Communication in Trauma Care). The videos were assessed using semi-qualitative/linguistic analysis as well as expert panel appraisal and recommendations using the Delphi method. The checklist was tested for validity and reliability.

RESULTS

The inter-rater reliability (ICC = 0.99) and internal consistency (α = 0.99) were high. Concurrent validity was moderate to high (r = 0.65 -r = 0.93 (p<0.001)). We included scales for procedures, non-technical skills, technical skills and global performance. The procedures were done faster in the mean over the timeline (t0: 2:29, 95%CI 1:54-3:03 min., t1: 1:11, 95%C 0:53-1:30 min, t2: 1:14, 95%CI 0:56-1:31 min.). All experts rated the recorded scenarios at t0 with the lowest sum score (mean 31±8), with a significantly better performance of the teams at t1 (mean 69±7). The performance at t2 (mean 66 ± 13) was slightly lower than at t1, but still better than at t0. At t1 and t2, linguistic analysis showed a change in the team leaders communication behaviour, which can be interpreted as a surrogate parameter for reduced stress.

CONCLUSION

The PERFECT checklist has a good validity and high reliability for assessing trauma procedures and teamwork.

Women's Word Use in Pregnancy: Associations With Maternal Characteristics, Prenatal Stress, and Neonatal Birth Outcome

Background: Experiencing high levels of stress during pregnancy can impair maternal well-being and fetal development. Consequently, unbiased assessment of maternal psychological state is crucial. Self-report measures are vulnerable to social desirability effects. Thus, implicit measures, such as word choice analysis, may offer an alternative.

Methods: In this longitudinal online-study, 427 pregnant women described their emotional experiences in writing and additionally responded to self-report questionnaires assessing symptoms of prenatal stress and depression. The written texts were analyzed with a computerized text analysis program. After birth, 253 women provided information on birth outcome.

Results: Word use differed significantly depending on maternal socioeconomic (e.g., marital status) and pregnancy-related characteristics (e.g., parity). Prenatal stress and depressive symptoms were associated with more frequent use of negative emotion words and words of anxiety, as well as with less first-person plural, but not singular pronoun use. Negative emotion and cognitive mechanism words predicted birth outcome, while self-report measures did not.

Conclusion: In addition to self-report measures, word choice may serve as a useful screening tool for symptoms of depression and stress in pregnant women. The findings on pronoun use may reflect women’s changing experience of self-identity during the transition to motherhood.

Who Cares? Effects of Social Approach and Avoidance Motivation on Responsiveness to Others

Responsiveness to others (i.e., our understanding, validation, and support of important aspects of others) significantly contributes to positive social relationships. In the present research, we found evidence that responsiveness has motivational origins. In two experiments, participants who were approaching positive social outcomes had a higher level of responsiveness compared with participants who were avoiding negative social outcomes. A third experiment disentangled the roles of motivation and situation valence. Positive (compared with negative) social situations were associated with higher approach motivation, lower avoidance motivation, and a higher level of responsiveness. However, within a given situation, both approach and avoidance motivation were associated with a higher level of responsiveness. This association was even stronger in negative situations, suggesting that both approach and avoidance motivation might be ways of behaving responsively in potentially difficult social situations. The effects were independent of relationship closeness and partly weaker in older compared with younger adults.

Experiencing meditation - Evidence for differential effects of three contemplative mental practices in micro-phenomenological interviews

Despite increasing interest in effects of meditation, systematic in-depth research on how it qualitatively feels to engage in different kinds of contemplative practices is still missing. To fill this gap, we explore the validity of Micro-phenomenological Interviews (MpI) to assess experiences during breathing meditation (BM), observing-thought meditation (OTM), and loving-kindness meditation (LKM). We performed psycholinguistic analyses, quantitative ratings and qualitative explorations of 104 MpI (N = 57). All results reveal differential affective, bodily and sensorial fingerprints: BM-transcripts contain the most body-related vocabulary, specifically sensations in nose and abdomen. OTM-transcripts contain the most cognition-related vocabulary. OTM is experienced in head and face. LKM-transcripts contain the most vocabulary related to socio-affective processes. LKM is associated to love, sensations around the heart, and warmth. The LKM-outcomes were replicated with another independent set of MpI. These findings verify the merit of MpI as a scientific tool to gain reliable first-person data beyond questionnaires or rating scales.

Change in emotional self-concept following socio-cognitive training relates to structural plasticity of the prefrontal cortex

INTRODUCTION

Self-referential processing is a key component of the emotional self-concept. Previous studies have shown that emotional self-referential processing is related to structure and function of cortical midline areas such as medial prefrontal cortex (mPFC), and that it can be altered on a behavioral level by specific mental training practices. However, it remains unknown how behavioral training-related change in emotional self-concept content relates to structural plasticity.

METHODS

To address this issue, we examined the relationship between training-induced change in participant's emotional self-concept measured through emotional word use in the Twenty Statement Test and change in cortical thickness in the context of a large-scale longitudinal mental training study called the ReSource Project.

RESULTS

Based on prior behavioral findings showing increased emotional word use particularly after socio-cognitive training targeting perspective-taking capacities, this study extended these results by revealing that individual differences in the degree to which participants changed their emotional self-concept after training was positively related to cortical thickness change in right mPFC extending to dorsolateral PFC (dlPFC). Furthermore, increased self-related negative emotional word use after training was positively associated with cortical thickness change in left pars orbitalis and bilateral dlPFC.

CONCLUSIONS

Our findings reveal training-related structural brain change in regions known to be involved in self-referential processing and cognitive control, and could indicate a relationship between restructuring of the emotional self-concept content as well as reappraisal of negative aspects and cortical thickness change. As such, our findings can guide the development of psychological interventions targeted to alter specific facets of the self-concept.

Employing open/hidden administration in psychotherapy research: A randomized-controlled trial of expressive writing

Psychotherapy has been shown to be effective, but efforts to prove specific effects by placebo-controlled trials have been practically and conceptually hampered. We propose that adopting open/hidden designs from placebo research would offer a possible way to establish specificity in psychotherapy. Therefore, we tested the effects of providing opposing treatment rationales in an online expressive writing intervention on affect in healthy subjects. Results indicate that it was possible to conduct the expressive writing intervention both covertly and openly, but that participants in the hidden administration condition did not fully benefit from the otherwise effective expressive writing intervention in the long-run. Effect sizes between open and hidden administration groups were comparable to pre-post effect sizes of the intervention. While this finding is important for the understanding of psychotherapy's effects per se, it also proves that alternative research approaches to establish specificity are feasible and informative in psychotherapy research.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00009428.

Quantitative text feature analysis of autobiographical interview data: prediction of episodic details, semantic details and temporal discounting

Autobiographical memory and episodic future thinking (i.e. the capacity to project oneself into an imaginary future) are typically assessed using the Autobiographical Interview (AI). In the AI, subjects are provided with verbal cues (e.g. “your wedding day”) and are asked to freely recall (or imagine) the cued past (or future) event. Narratives are recorded, transcribed and analyzed using an established manual scoring procedure (Levine et al., 2002). Here we applied automatic text feature extraction methods to a relatively large (n = 86) set of AI data. In a first proof-of-concept approach, we used regression models to predict internal (episodic) and semantic detail sum scores from low-level linguistic features. Across a range of different regression methods, prediction accuracy averaged at about 0.5 standard deviations. Given the known association of episodic future thinking with temporal discounting behavior, i.e. the preference for smaller-sooner over larger-later rewards, we also ran models predicting temporal discounting directly from linguistic features of AI narratives. Here, prediction accuracy was much lower, but involved the same text feature components as prediction of internal (episodic) details. Our findings highlight the potential feasibility of using tools from quantitative text analysis to analyze AI datasets, and we discuss potential future applications of this approach.

The Impact of Topic Characteristics and Threat on Willingness to Engage with Wikipedia Articles: Insights from Laboratory Experiments

A growing body of research aims to identify the factors that motivate people to make contributions in Wikipedia. We conducted two laboratory experiments to investigate the connections between topic characteristics, perception of threat, and willingness to engage with Wikipedia articles. In Study 1 (N = 83), we examined how topic familiarity, topic controversiality, and mortality salience influenced participants' willingness to engage with Wikipedia articles. We presented the introduction parts of 20 Wikipedia articles and asked participants to rate each article with respect to familiarity and controversiality. In addition, we experimentally manipulated participants' level of mortality salience in terms of the amount of threat they experienced when reading the article. Participants also indicated their willingness to engage with a particular article. The results revealed that familiar and controversial topics increased the willingness to engage with Wikipedia articles. Although mortality salience increased accessibility of death-related thoughts, it did not result in any changes in people's willingness to work with the articles. The aim of Study 2 (N = 90) was to replicate the effects of topic characteristics by following a similar procedure. We additionally manipulated uncertainty salience by assigning participants to three experimental conditions: uncertainty salience, certainty salience, and non-salience. As expected, familiar and controversial topics were of high interest in terms of willingness to contribute. However, the manipulation of uncertainty salience did not yield any significant results despite the emergence of negative emotional states. In sum, we demonstrated that topic characteristics were factors that substantially influenced people's willingness to engage with Wikipedia articles whereas perceived threat was not.

Monitoring Pronouns in Conflicts

Abstract. Conflict communication represents a basic process for the quality of intimate relationships, which is fundamental to well-being over the lifespan. This study investigates the temporal unfolding of different relational perspectives during a conflict situation by monitoring pronoun use in young, middle-aged, and old couples within the theoretical framework of Gottman’s phases of conflict. Our results reveal different trajectories of “I”-, “you”-, and “we”-talk over a conflict conversation in both partners. These trajectories differ between females and males. Furthermore, “you”-talk and “we”-talk differed among the age groups over time. Understanding the temporal dynamics of marital communication as reflected by pronoun use seems promising for a better understanding of conflict related processes in couples over the lifespan.

Sentiment analysis of political communication: combining a dictionary approach with crowdcoding

Sentiment is important in studies of news values, public opinion, negative campaigning or political polarization and an explosive expansion of digital textual data and fast progress in automated text analysis provide vast opportunities for innovative social science research. Unfortunately, tools currently available for automated sentiment analysis are mostly restricted to English texts and require considerable contextual adaption to produce valid results. We present a procedure for collecting fine-grained sentiment scores through crowdcoding to build a negative sentiment dictionary in a language and for a domain of choice. The dictionary enables the analysis of large text corpora that resource-intensive hand-coding struggles to cope with. We calculate the tonality of sentences from dictionary words and we validate these estimates with results from manual coding. The results show that the crowdbased dictionary provides efficient and valid measurement of sentiment. Empirical examples illustrate its use by analyzing the tonality of party statements and media reports.

Ultra-Brief Measures for the Situational Eight DIAMONDS Domains

Abstract. People perceive psychological situations on the “Situational Eight” DIAMONDS characteristics (Duty, Intellect, Adversity, Mating, pOsitivity, Negativity, Deception, Sociality; Rauthmann et al., 2014 ). To facilitate situational assessment and economically measure these dimensions, we propose four ultra-brief one-item scales (S8-I, S8-II, S8-III-A, S8-III-P) validated against the already existing 24-item S8*. Convergent/discriminant validity of the four S8-scales was examined by analyses of the multi-characteristics multi-measures matrix, and their nomological associations with external criteria were compared. Application areas of the scales are discussed.

Measuring the Situational Eight DIAMONDS Characteristics of Situations

Abstract. It has been suggested that people perceive psychological characteristics of situations on eight major dimensions ( Rauthmann et al., 2014 ): The “Situational Eight” DIAMONDS (Duty, Intellect, Adversity, Mating, pOsitivity, Negativity, Deception, Sociality). These dimensions have been captured with the 32-item RSQ-8. The current work optimizes the RSQ-8 to derive more economical yet informative and precise scales, captured in the newly developed S8*. Nomological associations of the original RSQ-8 and the S8* with situation cues (extracted from written situation descriptions) were compared. Application areas of the S8* are outlined.

First-person Pronoun Use in Spoken Language as a Predictor of Future Depressive Symptoms: Preliminary Evidence from a Clinical Sample of Depressed Patients

Several theories suggest that self-focused attention plays an important role in the maintenance of depression. However, previous studies have predominantly relied on self-report and laboratory-based measures such as sentence completion tasks to assess individual differences in self-focus. We present a prospective, longitudinal study based on a sample of 29 inpatients with clinical depression, investigating whether an implicit, behavioural measure of self-focused attention, i.e., the relative frequency of first-person singular pronouns in naturally spoken language, predicts depressive symptoms at follow-up over and above initial depression. We did not find a significant cross-sectional association between depressive symptoms and first-person singular pronoun use. However, first-person singular pronoun use significantly predicted depressive symptoms approximately 8 months later, even after controlling for depressive symptoms at baseline or discharge. Exploratory analyses revealed that this effect was mainly driven by the use of objective and possessive self-references such as 'me' or 'my'. Our findings are in line with theories that highlight individual differences in self-focused attention as a predictor of the course of depression. Moreover, our findings extend previous work in this field by adopting an unobtrusive approach of non-reactive assessment, capturing naturally occurring differences in self-focused attention. We discuss possible clinical applications of language-based assessments and interventions with regard to self-focus. Copyright © 2016 John Wiley & Sons, Ltd.

KEY PRACTITIONER MESSAGE

Naturally occurring individual differences in first-person singular pronoun use provide an unobtrusive way to assess patients' automatic self-focused attention. Frequent use of first-person singular pronouns predicts an unfavourable course of depression. Self-focused language might offer innovative ways of tracking and targeting therapeutic change.

Mood-incongruent processing during the recall of a sad life event predicts the course and severity of depression

BACKGROUND

Previous studies suggest that mood-incongruent processing constitutes an adaptive mood regulation strategy, and that difficulties in this process may contribute to the maintenance of depression. However, no study has yet examined whether mood-incongruent processing predicts the course and severity of clinical depression.

METHODS

To address this question, the present study used a prospective, longitudinal design to examine the effects of mood-incongruent processing in a sample of 59 clinically depressed patients. At baseline, participants were asked to recall and describe a sad and a happy life event. Participants' utterances were transcribed and analysed using computerized text analysis. Negated emotion words were excluded. The proportion of positive emotion words during sad memory recall was used as an indicator of mood-incongruent processing. After 6 months, participants were re-assessed for symptom levels and the criteria of major depressive disorder (MDD) during the follow-up period.

RESULTS

Higher relative frequency of positive emotion words during sad memory recall was associated with less symptoms of depression at follow-up and shorter time to recovery from MDD, over and above baseline symptoms of depression. The effect was not just due to increased general positivity in emotional expression or emotional expressiveness per se.

LIMITATIONS

The sample size and the timeframe for the follow-up assessment were limited. Furthermore, it is unknown to which degree word use reflects the actual experience of the expressed emotions.

CONCLUSIONS

The findings highlight the role of mood-incongruent processing in the maintenance of depression and advocate a stronger focus on mood-incongruent processing in the treatment of depression.

Remembering rejection: specificity and linguistic styles of autobiographical memories in borderline personality disorder and depression

BACKGROUND AND OBJECTIVES

High levels of rejection sensitivity are assumed to be the result of early and prolonged experiences of rejection. Aim of this study was to investigate autobiographical memories of rejection in clinical samples high in rejection sensitivity (Borderline Personality Disorder, BPD, and Major Depressive Disorder, MDD) and to identify group differences in the quality of the memories.

METHODS

Memories of rejection were retrieved using an adapted version of the Autobiographical Memory Test (AMT; five positive cue words, five cue words referring to rejection). Specificity of memories and linguistic word usage was analyzed in 30 patients with BPD, 27 patients with MDD and 30 healthy controls.

RESULTS

Patients with BPD retrieved less specific memories compared to the healthy control group, whereas patients with MDD did not differ from controls in this regard. The group difference was no longer significant when controlling for rejection sensitivity. Linguistic analysis indicated that compared to both other groups, patients with BPD showed a higher self-focus, used more anger-related words, referred more frequently to social environments, and rated memories of rejection as more relevant for today's life.

LIMITATIONS

Clinical symptoms were not assessed in the control group. Moreover, the written form of the AMT might reduce the total number of specific memories.

CONCLUSION

The level of rejection sensitivity influenced the specificity of the retrieved memories. Analysis of linguistic styles revealed specific linguistic patterns in BPD compared to non-clinical as well as depressed participants.

Engaged listeners: shared neural processing of powerful political speeches

Powerful speeches can captivate audiences, whereas weaker speeches fail to engage their listeners. What is happening in the brains of a captivated audience? Here, we assess audience-wide functional brain dynamics during listening to speeches of varying rhetorical quality. The speeches were given by German politicians and evaluated as rhetorically powerful or weak. Listening to each of the speeches induced similar neural response time courses, as measured by inter-subject correlation analysis, in widespread brain regions involved in spoken language processing. Crucially, alignment of the time course across listeners was stronger for rhetorically powerful speeches, especially for bilateral regions of the superior temporal gyri and medial prefrontal cortex. Thus, during powerful speeches, listeners as a group are more coupled to each other, suggesting that powerful speeches are more potent in taking control of the listeners' brain responses. Weaker speeches were processed more heterogeneously, although they still prompted substantially correlated responses. These patterns of coupled neural responses bear resemblance to metaphors of resonance, which are often invoked in discussions of speech impact, and contribute to the literature on auditory attention under natural circumstances. Overall, this approach opens up possibilities for research on the neural mechanisms mediating the reception of entertaining or persuasive messages.