Sabina Giorgi
Dados Biográficos
| ID | 658021 |
|---|---|
| NOME | Sabina Giorgi |
| PRENOMES | Sabina |
| SOBRENOME | Giorgi |
| ASSINATURA | GIORGI S |
| AFILIAÇÕES | University of Pennsylvania |
| ORCID | 0000-0001-7381-6295 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 20 |
| TOTAL DE CITAÇÕES | 15 |
| TOTAL COMO AUTOR | 20 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2007 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 2 |
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
Optimization of nursing staff standards in the perioperative settings of the IRCCS University Hospital of Bologna. An improvement project
Introduction: The organization of healthcare staff within operating block settings, which accommodate various surgical specialties, must consider the growing shortage of personnel and the need for resource optimization. For these reasons, we hypothesized that reorganizing the nursing staff could help reduce patient waiting lists, improve efficiency, and ensure patient safety. Methods: We conducted a review of the existing literature on Nursing St…
Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization
We used natural language processing to analyze a billion words to study cultural differences on Weibo, one of China’s largest social media platforms. We compared predictions from two common explanations about cultural differences in China (economic development and urban-rural differences) against the less-obvious legacy of rice versus wheat farming. Rice farmers had to coordinate shared irrigation networks and exchange labor to cope with higher l…
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…
Pandemic distress associated with segregation and social stressors
Background: Racial/ethnic minorities are disproportionately impacted by the COVID-19 pandemic, as they are more likely to experience structural and interpersonal racial discrimination, and thus social marginalization. Based on this, we tested for associations between pandemic distress outcomes and four exposures: racial segregation, coronavirus-related racial bias, social status, and social support. Methods: = 1,309). We tested if county-level se…
A linguistic analysis of dehumanization toward substance use across three decades of news articles
Introduction: Substances and the people who use them have been dehumanized for decades. As a result, lawmakers and healthcare providers have implemented policies that subjected millions to criminalization, incarceration, and inadequate resources to support health and wellbeing. While there have been recent shifts in public opinion on issues such as legalization, in the case of marijuana in the U.S., or addiction as a disease, dehumanization and s…
Beyond beliefs
Religion and spirituality are multidimensional constructs including practices, rituals, and experiences, though they are often treated solely in terms of belief. In this study (N = 2,389), we investigate dimensions examined in previous linguistic analysis studies—religious affiliation and experiences of unity—and new dimensions: religious services, prayer, meditation, and religious/spiritual experience. We replicate previous findings related to t…
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…
Measuring disadvantage
Getting “clean” from nonsuicidal self-injury
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. …
Covid-related social determinants of substance use disorder among diverse U.S. racial ethnic groups
The emotional and mental health impact of the murder of George Floyd on the US population
Significance On May 25, 2020, George Floyd, an unarmed Black American male, was murdered by a White police officer in Minneapolis. Footage of his death was widely shared and caused widespread protests. Using data from Gallup before and after his death, we found an unprecedented level of anger and sadness in the population, particularly among Black Americans. Using US Census data, we found that, compared to White Americans, Black Americans reporte…
Covid-Related Victimization, Racial Bias and Employment and Housing Disruption Increase Mental Health Risk Among U.S. Asian, Black and Latinx Adults
Background: The mental health of racial/ethnic minorities in the U.S. has been disproportionately impacted by the COVID-19 pandemic. This study examined the extent to which disruptions in employment and housing, coronavirus-specific forms of victimization and racial bias independently and conjointly contributed to mental health risk among Asian, Black, and Latinx adults in the United States during the pandemic. Methods: This study reports on data…
Information-seeking vs. sharing
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…
Real Men Don’t Say “Cute”
People associate certain behaviors with certain social groups. These stereotypical beliefs consist of both accurate and inaccurate associations. Using large-scale, data-driven methods with social media as a context, we isolate stereotypes by using verbal expression. Across four social categories—gender, age, education level, and political orientation—we identify words and phrases that lead people to incorrectly guess the social category of the wr…
Transformative Homes
In the era of global workflows and massive migrations, it has been suggested that the notion of home is breaking free from its material aspects to become a set of exportable routines and practices. On the other hand, it is argued that the materiality of spaces and objects can support migrants' well-being in the new destination. Drawing on the ethnography of a Moroccan household in Rome, Italy, we illustrate how actions pertinent to the material h…
Appropriations
This article concerns the dynamics of domestic space `appropriation' in Italian middle-class working families. The article starts from a background in multidisciplinary literature, mostly in the area of ethnographical and psychological studies, where the concepts of both `ownership' and `territoriality' prove to be inadequate. A dynamic view of space appropriations is chosen instead: starting from `outside appropriations', the presence of marked …
Transformative Homes
In the era of global workflows and massive migrations, it has been suggested that the notion of home is breaking free from its material aspects to become a set of exportable routines and practices. On the other hand, it is argued that the materiality of spaces and objects can support migrants' well-being in the new destination. Drawing on the ethnography of a Moroccan household in Rome, Italy, we illustrate how actions pertinent to the material h…
Measuring disadvantage
Covid-related social determinants of substance use disorder among diverse U.S. racial ethnic groups
Appropriations
This article concerns the dynamics of domestic space `appropriation' in Italian middle-class working families. The article starts from a background in multidisciplinary literature, mostly in the area of ethnographical and psychological studies, where the concepts of both `ownership' and `territoriality' prove to be inadequate. A dynamic view of space appropriations is chosen instead: starting from `outside appropriations', the presence of marked …
Transformative Homes
In the era of global workflows and massive migrations, it has been suggested that the notion of home is breaking free from its material aspects to become a set of exportable routines and practices. On the other hand, it is argued that the materiality of spaces and objects can support migrants' well-being in the new destination. Drawing on the ethnography of a Moroccan household in Rome, Italy, we illustrate how actions pertinent to the material h…
Real Men Don’t Say “Cute”
People associate certain behaviors with certain social groups. These stereotypical beliefs consist of both accurate and inaccurate associations. Using large-scale, data-driven methods with social media as a context, we isolate stereotypes by using verbal expression. Across four social categories—gender, age, education level, and political orientation—we identify words and phrases that lead people to incorrectly guess the social category of the wr…
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 emotional and mental health impact of the murder of George Floyd on the US population
Significance On May 25, 2020, George Floyd, an unarmed Black American male, was murdered by a White police officer in Minneapolis. Footage of his death was widely shared and caused widespread protests. Using data from Gallup before and after his death, we found an unprecedented level of anger and sadness in the population, particularly among Black Americans. Using US Census data, we found that, compared to White Americans, Black Americans reporte…
Covid-Related Victimization, Racial Bias and Employment and Housing Disruption Increase Mental Health Risk Among U.S. Asian, Black and Latinx Adults
Background: The mental health of racial/ethnic minorities in the U.S. has been disproportionately impacted by the COVID-19 pandemic. This study examined the extent to which disruptions in employment and housing, coronavirus-specific forms of victimization and racial bias independently and conjointly contributed to mental health risk among Asian, Black, and Latinx adults in the United States during the pandemic. Methods: This study reports on data…
Information-seeking vs. sharing
Getting “clean” from nonsuicidal self-injury
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. …
Covid-related social determinants of substance use disorder among diverse U.S. racial ethnic groups
Pandemic distress associated with segregation and social stressors
Background: Racial/ethnic minorities are disproportionately impacted by the COVID-19 pandemic, as they are more likely to experience structural and interpersonal racial discrimination, and thus social marginalization. Based on this, we tested for associations between pandemic distress outcomes and four exposures: racial segregation, coronavirus-related racial bias, social status, and social support. Methods: = 1,309). We tested if county-level se…
A linguistic analysis of dehumanization toward substance use across three decades of news articles
Introduction: Substances and the people who use them have been dehumanized for decades. As a result, lawmakers and healthcare providers have implemented policies that subjected millions to criminalization, incarceration, and inadequate resources to support health and wellbeing. While there have been recent shifts in public opinion on issues such as legalization, in the case of marijuana in the U.S., or addiction as a disease, dehumanization and s…
Beyond beliefs
Religion and spirituality are multidimensional constructs including practices, rituals, and experiences, though they are often treated solely in terms of belief. In this study (N = 2,389), we investigate dimensions examined in previous linguistic analysis studies—religious affiliation and experiences of unity—and new dimensions: religious services, prayer, meditation, and religious/spiritual experience. We replicate previous findings related to t…
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…
Measuring disadvantage
Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization
We used natural language processing to analyze a billion words to study cultural differences on Weibo, one of China’s largest social media platforms. We compared predictions from two common explanations about cultural differences in China (economic development and urban-rural differences) against the less-obvious legacy of rice versus wheat farming. Rice farmers had to coordinate shared irrigation networks and exchange labor to cope with higher l…
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…
Optimization of nursing staff standards in the perioperative settings of the IRCCS University Hospital of Bologna. An improvement project
Introduction: The organization of healthcare staff within operating block settings, which accommodate various surgical specialties, must consider the growing shortage of personnel and the need for resource optimization. For these reasons, we hypothesized that reorganizing the nursing staff could help reduce patient waiting lists, improve efficiency, and ensure patient safety. Methods: We conducted a review of the existing literature on Nursing St…
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
Psychology (13 obras) · Political science (9 obras) · Medicine (8 obras) · Psychiatry (7 obras) · Social Psychology (6 obras) · Sociology (6 obras) · Clinical Psychology (4 obras) · Mental health (4 obras) · Mental Health via Writing (4 obras) · Computer Science (3 obras)