The Language of the Roberts Court

Article published in the Michigan State Law Review

Language-based personality:a new approach to personality in a digital world

Personality is typically defined as the consistent set of traits, attitudes, emotions, and behaviors that people have. For several decades, a majority of researchers have tacitly agreed that the gold standard for measuring personality was with self-report questionnaires. Surveys are fast, inexpensive, and display beautiful psychometric properties. A considerable problem with this method, however, is that self-reports reflect only one aspect of personality — people's explicit theories of what they think they are like. We propose a complementary model that draws on a big data solution: the analysis of the words people use. Language use is relatively reliable over time, internally consistent, and differs considerably between people. Language-based measures of personality can be useful for capturing/modeling lower-level personality processes that are more closely associated with important objective behavioral outcomes than traditional personality measures. Additionally, the increasing availability of language data and advances in both statistical methods and technological power are rapidly creating new opportunities for the study of personality at ‘big data’ scale. Such opportunities allow researchers to not only better understand the fundamental nature of personality, but at a scale never before imagined in psychological research

Natural emotion vocabularies as windows on distress and well-being

To date we know little about natural emotion word repertoires, and whether or how they are associated with emotional functioning. Principles from linguistics suggest that the richness or diversity of individuals’ actively used emotion vocabularies may correspond with their typical emotion experiences. The current investigation measures active emotion vocabularies in participant-generated natural speech and examined their relationships to individual differences in mood, personality, and physical and emotional well-being. Study 1 analyzes stream-of-consciousness essays by 1,567 college students. Study 2 analyzes public blogs written by over 35,000 individuals. The studies yield consistent findings that emotion vocabulary richness corresponds broadly with experience. Larger negative emotion vocabularies correlate with more psychological distress and poorer physical health. Larger positive emotion vocabularies correlate with higher well-being and better physical health. Findings support theories linking language use and development with lived experience and may have future clinical implications pending further research

Analyzing Connections Between User Attributes, Images, and Text

This work explores the relationship between a person’s demographic/ psychological traits (e.g., gender, personality) and selfidentity images and captions. We use a dataset of images and captions provided by N = 1,350 individuals, and we automatically extract features from both the images and captions. We identify several visual and textual properties that show reliable relationships with individual differences between participants. The automated techniques presented here allow us to draw interesting conclusions from our data that would be difficult to identify manually, and these techniques are extensible to other large datasets. We believe that our work on the relationship between user characteristics and user data has relevance in online settings, where users upload billions of images each day (Meeker M, 2014. Internet trends 2014–Code conference. Retrieved May 28, 2014)

Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions

In online communities, antisocial behavior such as trolling disrupts constructive discussion. While prior work suggests that trolling behavior is confined to a vocal and antisocial minority, we demonstrate that ordinary people can engage in such behavior as well. We propose two primary trigger mechanisms: the individual's mood, and the surrounding context of a discussion (e.g., exposure to prior trolling behavior). Through an experiment simulating an online discussion, we find that both negative mood and seeing troll posts by others significantly increases the probability of a user trolling, and together double this probability. To support and extend these results, we study how these same mechanisms play out in the wild via a data-driven, longitudinal analysis of a large online news discussion community. This analysis reveals temporal mood effects, and explores long range patterns of repeated exposure to trolling. A predictive model of trolling behavior shows that mood and discussion context together can explain trolling behavior better than an individual's history of trolling. These results combine to suggest that ordinary people can, under the right circumstances, behave like trolls.Comment: Best Paper Award at CSCW 201

Hearing aid consumer reviews: a linguistic analysis in relation to benefit and satisfaction ratings

PURPOSE : Online reviews have been used by hearing aid owners to share their experiences and to provide suggestions to potential hearing aid buyers, although they have not been systematically examined. The study was aimed at examining the hearing aid consumer reviews using automated linguistic analysis, and how the linguistic variables relate to self-reported hearing aid benefit and satisfaction ratings. METHOD : The study used a cross-sectional design. One thousand three hundred seventy-eight consumer hearing aid reviews (i.e., text response to open-ended question), self-reported benefit and satisfaction ratings on hearing aids in a 5-point scale with meta-data (e.g., hearing aid brand, technology level) extracted from the Hearing Tracker website were analyzed using automated text analysis method known as the Linguistic Inquiry and Word Count. RESULTS : Self-reported hearing aid benefit and satisfaction ratings were high (i.e., mean rating of 4.04 in a 5-point scale). Examining the association between overall rating and the key linguistic variables point to two broad findings. First, the more people were personally, socially, and emotionally engaged with the hearing device experience, the higher they rated their hearing device(s). Second, a minimal occurrence of clinic-visit language dimensions points to factors that likely affect benefit and satisfaction ratings. For example, if people mention paying too much money (money), their overall ratings are generally lower. Conversely, if people write about their health or home, the ratings were higher. There was no significant difference in linguistic analysis across different hearing aid brands and technology levels. CONCLUSIONS : Hearing aid consumers are generally satisfied with their hearing device(s), and their online reviews contain information about social/emotional dimensions as well as clinic-visit related aspects that have bearing toward hearing aid benefit and satisfaction ratings. These results suggest that the natural language used by consumers provide insights on their perceived benefit/satisfaction from their hearing device.https://pubs.asha.org/journal/ajahj2022Speech-Language Pathology and Audiolog

Social media discussions predict mental health consultations on college campuses

The mental health of college students is a growing concern, and gauging the mental health needs of college students is difficult to assess in real-time and in scale. While social media has shown potential as a viable “passive sensor” of mental health, the construct validity and in-practice reliability of such computational assessments remain largely unexplored. Towards this goal, we study how assessing the mental health of college students using social media data correspond with ground-truth data of on-campus mental health consultations. For a large U.S. public university, we obtained ground-truth data of on-campus mental health consultations between 2011–2016, and collected 66,000 posts from the university’s Reddit community. We adopted machine learning and natural language methodologies to measure symptomatic mental health expressions of depression, anxiety, stress, suicidal ideation, and psychosis on the social media data. Seasonal auto-regressive integrated moving average (SARIMA) models of forecasting on-campus mental health consultations showed that incorporating social media data led to predictions with r=0.86 and SMAPE=13.30, outperforming models without social media data by 41%. Our language analyses revealed that social media discussions during high mental health consultations months consisted of discussions on academics and career, whereas months of low mental health consultations saliently show expressions of positive affect, collective identity, and socialization. This study reveals that social media data can improve our understanding of college students’ mental health, particularly their mental health treatment needs

Social representations of history, wars and politics in Latin America, Europe and Africa

This study analyzes how people perceive world history on three continents: Latin America, Europe and Africa. A total of 1179 university students form Argentina, Brazil, Peru, Portugal, Spain, Guinea-Bissau, and Cape Verde were asked to evaluate world events and leaders in terms of their valence and importance. The results demonstrated that social representations of history show a Euro/North American-centric, long-term positive evaluation, recency, and socio- centric bias. Euro/North American-centric events and leaders were found to be rated as more important and were more positively perceived in general. Distant political events, like French or American Revolution, were considered to be more positive than XX century similar events, which supports the long-term positive evaluation bias hypothesis. The hypothesis on recency bias was partially substantiated. Confirming the existence of such bias, World War II was rated as more important than the previous XX century wars and revolutions. Socio-centric bias also received partial support. African participants rated Mandela as a more important leader than other participants did. Latin Americans rated Che Guevara less positively, which suggests that some leaders are generally idealized icons, not based on group belongingness. However, results did not bring support to the centrality of war hypothesis. Wars were indeed negatively evaluated and World War II was rated as an important and negative event. Nevertheless, war- and politics-related events were not perceived as more important than the Industrial Revolution, suggesting that people appraise the importance of long-term socioeconomic factors of history when responding to close-ended quantitative measures (vs. open-ended salience measures). Results are discussed in the framework of social representations of history.El estudio analiza como las personas perciben la historia mundial en tres continentes: Latinoamérica, Europa y África. 1179 estudiantes universitarios de Argentina, Brasil, Perú, Portugal, España, Guinea-Bissau y Cabo Verde evaluaron una lista de eventos mundiales y líderes en lo que concierne a su valoración e importancia. Los resultados han mostrado que la representación social de la historia se caracteriza por un Euro centrismo, una evaluación positiva a largo plazo, y por sesgos socio-céntricos. Los eventos “Occidentales” (vinculados a Europa y Norteamérica) fueron evaluados como más importantes y percibidos más positivamente que los no-Occidentales. Eventos políticos distantes, como la Revolución Francesa o Americana, fueron evaluados más positivamente que eventos similares del siglo XX, apoyando la hipótesis de la evaluación positiva del pasado lejano. La hipótesis del sesgo de recencia o proximidad fue parcialmente confirmada, ya que la II Guerra Mundial fue evaluada como más importante que revoluciones o guerras anteriores al siglo XX. El sesgo socio-céntrico también recibe apoyo parcial. Los africanos consideraron a Mandela como un líder más importante comparado con los otros participantes. Los Latinos americanos evaluaron Che Guevara menos positivamente, lo que sugiere que ciertos líderes son generalmente íconos idealizados, y su valoración positiva no se basa en la proximidad o la pertenencia grupal. Sin embargo, los resultados no apoyaron la hipótesis de la centralidad de la guerra. Las guerras fueron efectivamente evaluadas negativamente y la II Guerra Mundial fue evaluado como la guerra más importante y como un evento muy negativo. No obstante, las guerras y eventos políticos relacionados con la violencia no fueron percibidos como más importantes que la Revolución industrial, sugiriendo que las personas valoran la importancia general de los factores históricos socioeconómicos cuando responden a medidas cuantitativas cerradas (vs. medidas abiertas). Los resultados se analizan desde el marco teórico de las representaciones sociales de la Historia