H Andrew Schwartz
Dados Biográficos
| ID | 210535 |
|---|---|
| NOME | H Andrew Schwartz |
| PRENOMES | H Andrew |
| SOBRENOME | Schwartz |
| ASSINATURA | SCHWARTZ H A |
| AFILIAÇÕES | University of Pennsylvania |
| ORCID | 0000-0002-6383-3339 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 23 |
| TOTAL DE CITAÇÕES | 76 |
| TOTAL COMO AUTOR | 23 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2013 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 5 |
The Language-Based Assessment Model Library
Language-based assessments (LBAs), quantitative estimates of scientific constructs based on language, have advanced methods in the psychological and social sciences for more than a decade. LBAs based on individuals’ prompted descriptions analyzed with large language models to produce scores of their psychological states and traits have shown strong convergence with the corresponding rating scales ( r > .80) and have often surpassed rating scales …
From Clinical Trials to Real‐World Impact
Swedish Well-Being
The main demographic and psychological correlates of Well-Being (WB) are well-established, but have not yet been assessed in the Swedish population–regularly ranked among the world’s top five ranked WB nations–based on large, nationally representative data. Using 2023 Global Flourishing Study data ( N = 15,068), this paper analyzes Swedish WB across three domains: demography (e.g., gender, age, and income), individual personality traits (e.g., Bi…
The role of negative affect in shaping populist support
Support for populism has grown substantially during the past 2 decades, a development that has coincided with a marked increase in the experience of negative affect around the world. We use a multimodal, multimethod empirical approach, with data from a diverse set of geographical and political contexts, to investigate the extent to which the rising electoral demand for populism can be explained by negative affect. We demonstrate that negative aff…
Characterizing empathy and compassion using computational linguistic analysis
Many scholars have proposed that feeling what we believe others are feeling-often known as "empathy"-is essential for other-regarding sentiments and plays an important role in our moral lives. Caring for and about others (without necessarily sharing their feelings)-often known as "compassion"-is also frequently discussed as a relevant force for prosocial motivation and action. Here, we explore the relationship between empathy and compassion using…
Regional personality assessment through social media language
OBJECTIVE: We explore the personality of counties as assessed through linguistic patterns on social media. Such studies were previously limited by the cost and feasibility of large-scale surveys; however, language-based computational models applied to large social media datasets now allow for large-scale personality assessment. METHOD: We applied a language-based assessment of the five factor model of personality to 6,064,267 U.S. Twitter users. …
Information-seeking vs. sharing
Natural Language Analysis and the Psychology of Verbal Behavior
Throughout history, scholars and laypeople alike have believed that our words contain subtle clues about what we are like as people, psychologically speaking. However, the ways in which language has been used to infer psychological processes has seen dramatic shifts over time and, with modern computational technologies and digital data sources, we are on the verge of a massive revolution in language analysis research. In this article, we discuss …
The self-congruity effect of music
4,995) builds on this by showing that the fit between the personality of the listener and the artist predicts musical preferences incremental to the fit for gender, age, and even the audio features of music. Our findings are largely consistent across two methodological approaches to operationalizing an artist's public personality: (a) the public personality as reported by the artist's fans, and (b) the public personality as predicted by machine l…
Cultural Differences in Tweeting about Drinking Across the US
Excessive alcohol use in the US contributes to over 88,000 deaths per year and costs over $250 billion annually. While previous studies have shown that excessive alcohol use can be detected from general patterns of social media engagement, we characterized how drinking-specific language varies across regions and cultures in the US. From a database of 38 billion public tweets, we selected those mentioning "drunk", found the words and phrases disti…
The language of well-being
The words that people use have been found to reflect stable psychological traits, but less is known about the extent to which everyday fluctuations in spoken language reflect transient psychological states. We explored within-person associations between spoken words and self-reported state emotion among 185 participants who wore the Electronically Activated Recorder (EAR; an unobtrusive audio recording device) and completed experience sampling re…
Facebook language predicts depression in medical records
Significance Depression is disabling and treatable, but underdiagnosed. In this study, we show that the content shared by consenting users on Facebook can predict a future occurrence of depression in their medical records. Language predictive of depression includes references to typical symptoms, including sadness, loneliness, hostility, rumination, and increased self-reference. This study suggests that an analysis of social media data could be u…
The Language of Religious Affiliation
Religious affiliation is an important identifying characteristic for many individuals and relates to numerous life outcomes including health, well-being, policy positions, and cognitive style. Using methods from computational linguistics, we examined language from 12,815 Facebook users in the United States and United Kingdom who indicated their religious affiliation. Religious individuals used more positive emotion words ( β = .278, p
Living in the Past, Present, and Future
Temporal orientation refers to individual differences in the relative emphasis one places on the past, present, or future, and it is related to academic, financial, and health outcomes. We propose and evaluate a method for automatically measuring temporal orientation through language expressed on social media. Judges rated the temporal orientation of 4,302 social media messages. We trained a classifier based on these ratings, which could accurate…
The Return to the Monument
This article examines the gradual conversion of the areas surrounding the Old City of Jerusalem and spaces overlooking the Temple Mount into national symbolic landscape. Within this space, ancient Jewish sites function as national monuments, tied together through landscaping. A continuum of space and time is gradually being created in the shadow of Muslim and Christian monuments, in stark contrast to the Palestinian neighborhoods. The visual and …
Overload
The language of ineffability
Mystical experiences are often described as “ineffable,” or beyond language. However, people readily speak about their mystical experiences if asked about them. How do people describe what is supposedly indescribable? In this study, we used quantitative linguistic analyses to interpret the writings of 777 participants (45.5% female, 51.0% male) who recounted their most significant spiritual or religious experience as part of an online survey. Hig…
Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States
Automatic personality assessment through social media language
Language use is a psychologically rich, stable individual difference with well-established correlations to personality. We describe a method for assessing personality using an open-vocabulary analysis of language from social media. We compiled the written language from 66,732 Facebook users and their questionnaire-based self-reported Big Five personality traits, and then we built a predictive model of personality based on their language. We used …
Data-Driven Content Analysis of Social Media
Researchers have long measured people's thoughts, feelings, and personalities using carefully designed survey questions, which are often given to a relatively small number of volunteers. The proliferation of social media, such as Twitter and Facebook, offers alternative measurement approaches: automatic content coding at unprecedented scales and the statistical power to do open-vocabulary exploratory analysis. We describe a range of automatic and…
The 2013 US Government Shutdown (#Shutdown) and Health
In October 2013, multiple United States (US) federal health departments and agencies posted on Twitter, “We’re sorry, but we will not be tweeting or responding to @replies during the shutdown. We’ll be back as soon as possible!” These “last tweets” and the millions of responses they generated revealed social media’s role as a forum for sharing and discussing information rapidly. Social media are now among the few dominant communication channels u…
From “Sooo excited!!!” to “So proud”
We introduce a new method, differential language analysis (DLA), for studying human development in which computational linguistics are used to analyze the big data available through online social media in light of psychological theory. Our open vocabulary DLA approach finds words, phrases, and topics that distinguish groups of people based on 1 or more characteristics. Using a data set of over 70,000 Facebook users, we identify how word and topic…
Personality, Gender, and Age in the Language of Social Media
We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-catego…
Natural Language Analysis and the Psychology of Verbal Behavior
Throughout history, scholars and laypeople alike have believed that our words contain subtle clues about what we are like as people, psychologically speaking. However, the ways in which language has been used to infer psychological processes has seen dramatic shifts over time and, with modern computational technologies and digital data sources, we are on the verge of a massive revolution in language analysis research. In this article, we discuss …
Automatic personality assessment through social media language
Language use is a psychologically rich, stable individual difference with well-established correlations to personality. We describe a method for assessing personality using an open-vocabulary analysis of language from social media. We compiled the written language from 66,732 Facebook users and their questionnaire-based self-reported Big Five personality traits, and then we built a predictive model of personality based on their language. We used …
Data-Driven Content Analysis of Social Media
Researchers have long measured people's thoughts, feelings, and personalities using carefully designed survey questions, which are often given to a relatively small number of volunteers. The proliferation of social media, such as Twitter and Facebook, offers alternative measurement approaches: automatic content coding at unprecedented scales and the statistical power to do open-vocabulary exploratory analysis. We describe a range of automatic and…
The language of well-being
The words that people use have been found to reflect stable psychological traits, but less is known about the extent to which everyday fluctuations in spoken language reflect transient psychological states. We explored within-person associations between spoken words and self-reported state emotion among 185 participants who wore the Electronically Activated Recorder (EAR; an unobtrusive audio recording device) and completed experience sampling re…
From “Sooo excited!!!” to “So proud”
We introduce a new method, differential language analysis (DLA), for studying human development in which computational linguistics are used to analyze the big data available through online social media in light of psychological theory. Our open vocabulary DLA approach finds words, phrases, and topics that distinguish groups of people based on 1 or more characteristics. Using a data set of over 70,000 Facebook users, we identify how word and topic…
The Return to the Monument
This article examines the gradual conversion of the areas surrounding the Old City of Jerusalem and spaces overlooking the Temple Mount into national symbolic landscape. Within this space, ancient Jewish sites function as national monuments, tied together through landscaping. A continuum of space and time is gradually being created in the shadow of Muslim and Christian monuments, in stark contrast to the Palestinian neighborhoods. The visual and …
The self-congruity effect of music
4,995) builds on this by showing that the fit between the personality of the listener and the artist predicts musical preferences incremental to the fit for gender, age, and even the audio features of music. Our findings are largely consistent across two methodological approaches to operationalizing an artist's public personality: (a) the public personality as reported by the artist's fans, and (b) the public personality as predicted by machine l…
The 2013 US Government Shutdown (#Shutdown) and Health
In October 2013, multiple United States (US) federal health departments and agencies posted on Twitter, “We’re sorry, but we will not be tweeting or responding to @replies during the shutdown. We’ll be back as soon as possible!” These “last tweets” and the millions of responses they generated revealed social media’s role as a forum for sharing and discussing information rapidly. Social media are now among the few dominant communication channels u…
Personality, Gender, and Age in the Language of Social Media
We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-catego…
The 2013 US Government Shutdown (#Shutdown) and Health
In October 2013, multiple United States (US) federal health departments and agencies posted on Twitter, “We’re sorry, but we will not be tweeting or responding to @replies during the shutdown. We’ll be back as soon as possible!” These “last tweets” and the millions of responses they generated revealed social media’s role as a forum for sharing and discussing information rapidly. Social media are now among the few dominant communication channels u…
From “Sooo excited!!!” to “So proud”
We introduce a new method, differential language analysis (DLA), for studying human development in which computational linguistics are used to analyze the big data available through online social media in light of psychological theory. Our open vocabulary DLA approach finds words, phrases, and topics that distinguish groups of people based on 1 or more characteristics. Using a data set of over 70,000 Facebook users, we identify how word and topic…
Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States
Automatic personality assessment through social media language
Language use is a psychologically rich, stable individual difference with well-established correlations to personality. We describe a method for assessing personality using an open-vocabulary analysis of language from social media. We compiled the written language from 66,732 Facebook users and their questionnaire-based self-reported Big Five personality traits, and then we built a predictive model of personality based on their language. We used …
Data-Driven Content Analysis of Social Media
Researchers have long measured people's thoughts, feelings, and personalities using carefully designed survey questions, which are often given to a relatively small number of volunteers. The proliferation of social media, such as Twitter and Facebook, offers alternative measurement approaches: automatic content coding at unprecedented scales and the statistical power to do open-vocabulary exploratory analysis. We describe a range of automatic and…
The language of ineffability
Mystical experiences are often described as “ineffable,” or beyond language. However, people readily speak about their mystical experiences if asked about them. How do people describe what is supposedly indescribable? In this study, we used quantitative linguistic analyses to interpret the writings of 777 participants (45.5% female, 51.0% male) who recounted their most significant spiritual or religious experience as part of an online survey. Hig…
Living in the Past, Present, and Future
Temporal orientation refers to individual differences in the relative emphasis one places on the past, present, or future, and it is related to academic, financial, and health outcomes. We propose and evaluate a method for automatically measuring temporal orientation through language expressed on social media. Judges rated the temporal orientation of 4,302 social media messages. We trained a classifier based on these ratings, which could accurate…
The Return to the Monument
This article examines the gradual conversion of the areas surrounding the Old City of Jerusalem and spaces overlooking the Temple Mount into national symbolic landscape. Within this space, ancient Jewish sites function as national monuments, tied together through landscaping. A continuum of space and time is gradually being created in the shadow of Muslim and Christian monuments, in stark contrast to the Palestinian neighborhoods. The visual and …
Overload
Facebook language predicts depression in medical records
Significance Depression is disabling and treatable, but underdiagnosed. In this study, we show that the content shared by consenting users on Facebook can predict a future occurrence of depression in their medical records. Language predictive of depression includes references to typical symptoms, including sadness, loneliness, hostility, rumination, and increased self-reference. This study suggests that an analysis of social media data could be u…
The Language of Religious Affiliation
Religious affiliation is an important identifying characteristic for many individuals and relates to numerous life outcomes including health, well-being, policy positions, and cognitive style. Using methods from computational linguistics, we examined language from 12,815 Facebook users in the United States and United Kingdom who indicated their religious affiliation. Religious individuals used more positive emotion words ( β = .278, p
Cultural Differences in Tweeting about Drinking Across the US
Excessive alcohol use in the US contributes to over 88,000 deaths per year and costs over $250 billion annually. While previous studies have shown that excessive alcohol use can be detected from general patterns of social media engagement, we characterized how drinking-specific language varies across regions and cultures in the US. From a database of 38 billion public tweets, we selected those mentioning "drunk", found the words and phrases disti…
The language of well-being
The words that people use have been found to reflect stable psychological traits, but less is known about the extent to which everyday fluctuations in spoken language reflect transient psychological states. We explored within-person associations between spoken words and self-reported state emotion among 185 participants who wore the Electronically Activated Recorder (EAR; an unobtrusive audio recording device) and completed experience sampling re…
Information-seeking vs. sharing
Natural Language Analysis and the Psychology of Verbal Behavior
Throughout history, scholars and laypeople alike have believed that our words contain subtle clues about what we are like as people, psychologically speaking. However, the ways in which language has been used to infer psychological processes has seen dramatic shifts over time and, with modern computational technologies and digital data sources, we are on the verge of a massive revolution in language analysis research. In this article, we discuss …
The self-congruity effect of music
4,995) builds on this by showing that the fit between the personality of the listener and the artist predicts musical preferences incremental to the fit for gender, age, and even the audio features of music. Our findings are largely consistent across two methodological approaches to operationalizing an artist's public personality: (a) the public personality as reported by the artist's fans, and (b) the public personality as predicted by machine l…
Regional personality assessment through social media language
OBJECTIVE: We explore the personality of counties as assessed through linguistic patterns on social media. Such studies were previously limited by the cost and feasibility of large-scale surveys; however, language-based computational models applied to large social media datasets now allow for large-scale personality assessment. METHOD: We applied a language-based assessment of the five factor model of personality to 6,064,267 U.S. Twitter users. …
Characterizing empathy and compassion using computational linguistic analysis
Many scholars have proposed that feeling what we believe others are feeling-often known as "empathy"-is essential for other-regarding sentiments and plays an important role in our moral lives. Caring for and about others (without necessarily sharing their feelings)-often known as "compassion"-is also frequently discussed as a relevant force for prosocial motivation and action. Here, we explore the relationship between empathy and compassion using…
The role of negative affect in shaping populist support
Support for populism has grown substantially during the past 2 decades, a development that has coincided with a marked increase in the experience of negative affect around the world. We use a multimodal, multimethod empirical approach, with data from a diverse set of geographical and political contexts, to investigate the extent to which the rising electoral demand for populism can be explained by negative affect. We demonstrate that negative aff…
The Language-Based Assessment Model Library
Language-based assessments (LBAs), quantitative estimates of scientific constructs based on language, have advanced methods in the psychological and social sciences for more than a decade. LBAs based on individuals’ prompted descriptions analyzed with large language models to produce scores of their psychological states and traits have shown strong convergence with the corresponding rating scales ( r > .80) and have often surpassed rating scales …
From Clinical Trials to Real‐World Impact
Swedish Well-Being
The main demographic and psychological correlates of Well-Being (WB) are well-established, but have not yet been assessed in the Swedish population–regularly ranked among the world’s top five ranked WB nations–based on large, nationally representative data. Using 2023 Global Flourishing Study data ( N = 15,068), this paper analyzes Swedish WB across three domains: demography (e.g., gender, age, and income), individual personality traits (e.g., Bi…
Psychology (18 obras) · Social Psychology (10 obras) · Mental Health via Writing (9 obras) · Computer Science (8 obras) · Social media (7 obras) · Linguistics (6 obras) · Cognitive psychology (5 obras) · Personality (5 obras) · Political science (5 obras) · Medicine (4 obras)