Masahiko Haruno
Biographic Data
| ID | 5082259 |
|---|---|
| NAME | Masahiko Haruno |
| GIVEN NAMES | Masahiko |
| FAMILY NAME | Haruno |
| SIGNATURE | HARUNO M |
| AFFILIATIONS | Tamagawa University |
| ORCID | 0000-0002-0817-0720 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Natural Language Content Mediates the Association Between Active Interactions on Social Network Services and Subjective Well-Being
Previous studies indicated that active interactions on social networking services (SNS) are positively linked to subjective well-being (SWB). However, how semantic SNS content affects the association between the degree of SNS interaction and SWB has not been investigated. We addressed this issue by conducting a mediation analysis using natural language processing. We first analyzed Twitter data and SWB scores from 217 participants and found that …
Differential ability of network and natural language information on social media to predict interpersonal and mental health traits
OBJECTIVE: Previous studies have shown that digital footprints (mainly Social Networking Services, or SNS) can predict personality traits centered on the Big Five. The present study investigates to what extent different types of SNS information predicts wider traits and attributes. METHOD: We collected an intensive set of 24 (52 subscales) personality traits and attributes (N = 239) and examined whether machine learning models trained on four dif…
Brain response patterns to economic inequity predict present and future depression indices
Brain response patterns to economic inequity predict present and future depression indices
Differential ability of network and natural language information on social media to predict interpersonal and mental health traits
OBJECTIVE: Previous studies have shown that digital footprints (mainly Social Networking Services, or SNS) can predict personality traits centered on the Big Five. The present study investigates to what extent different types of SNS information predicts wider traits and attributes. METHOD: We collected an intensive set of 24 (52 subscales) personality traits and attributes (N = 239) and examined whether machine learning models trained on four dif…
Natural Language Content Mediates the Association Between Active Interactions on Social Network Services and Subjective Well-Being
Previous studies indicated that active interactions on social networking services (SNS) are positively linked to subjective well-being (SWB). However, how semantic SNS content affects the association between the degree of SNS interaction and SWB has not been investigated. We addressed this issue by conducting a mediation analysis using natural language processing. We first analyzed Twitter data and SWB scores from 217 participants and found that …
Psychology (3 works) · Cognitive psychology (2 works) · Psychological Well-being and Life Satisfaction (2 works) · Social Psychology (2 works) · Amygdala (1 work) · Brain activity and meditation (1 work) · Clinical Psychology (1 work) · Computer Science (1 work) · Developmental psychology (1 work) · Differential (mechanical device) (1 work)