Private traits and attributes are predictable from digital records of human behavior
about
Musical Preferences are Linked to Cognitive StylesPersonality, gender, and age in the language of social media: the open-vocabulary approachThe Rise of Consumer Health Wearables: Promises and BarriersBig data are coming to psychiatry: a general introductionI Like, I Cite? Do Facebook Likes Predict the Impact of Scientific Work?Detecting the influence of rare stressors on rare species in Yosemite National Park using a novel stratified permutation testA game theoretic framework for analyzing re-identification riskTracking the Evolution of Infrastructure Systems and Mass Responses Using Publically Available DataWomen are Warmer but No Less Assertive than Men: Gender and Language on FacebookTweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber?Computer-based personality judgments are more accurate than those made by humans.Communicating the Neuroscience of Psychopathy and Its Influence on Moral Behavior: Protocol of Two Experimental Studies.Privacy in the digital world: medical and health data outside of HIPAA protections.Online and Social Media Data As an Imperfect Continuous Panel Survey.Automated Decision-Making and Big Data: Concerns for People With Mental Illness.Digital footprints: facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologiesHappier People Live More Active Lives: Using Smartphones to Link Happiness and Physical ActivityEthical perspectives on recommending digital technology for patients with mental illnessCharacterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates.A new source of data for public health surveillance: Facebook likesF-formation detection: individuating free-standing conversational groups in images.A natural experiment of social network formation and dynamics.Supporting Regularized Logistic Regression Privately and EfficientlyEvaluation of an Online Campaign for Promoting Help-Seeking Attitudes for Depression Using a Facebook Advertisement: An Online Randomized Controlled Experiment.Understanding Vaccine Refusal: Why We Need Social Media Now.Decoding negative affect personality trait from patterns of brain activation to threat stimuli.Turning the Page on Pen-and-Paper Questionnaires: Combining Ecological Momentary Assessment and Computer Adaptive Testing to Transform Psychological Assessment in the 21st Century.Cancer cluster investigations: review of the past and proposals for the future.Supervised Machine Learning Algorithms Can Classify Open-Text Feedback of Doctor Performance With Human-Level AccuracyA vectorial semantics approach to personality assessment.Personality traits and personal values: a meta-analysis.Using Item Response Theory to Develop Measures of Acquisitive and Protective Self-Monitoring From the Original Self-Monitoring Scale.Online social networking sites and mental health research.Leaking privacy and shadow profiles in online social networks.Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups.A content analysis of tweets about high-potency marijuana.Living in the Past, Present, and Future: Measuring Temporal Orientation With Language.The perception of nanotechnology and nanomedicine: a worldwide social media study.Could we do better? Behavioural tracking on recommended consumer health websites.Self-Monitoring and the Metatraits.
P2860
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P2860
Private traits and attributes are predictable from digital records of human behavior
description
2013 nî lūn-bûn
@nan
2013 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մարտին հրատարակված գիտական հոդված
@hy
2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年论文
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name
Private traits and attributes are predictable from digital records of human behavior
@ast
Private traits and attributes are predictable from digital records of human behavior
@en
Private traits and attributes are predictable from digital records of human behavior
@nl
type
label
Private traits and attributes are predictable from digital records of human behavior
@ast
Private traits and attributes are predictable from digital records of human behavior
@en
Private traits and attributes are predictable from digital records of human behavior
@nl
prefLabel
Private traits and attributes are predictable from digital records of human behavior
@ast
Private traits and attributes are predictable from digital records of human behavior
@en
Private traits and attributes are predictable from digital records of human behavior
@nl
P2860
P50
P356
P1476
Private traits and attributes are predictable from digital records of human behavior
@en
P2093
David Stillwell
Michal Kosinski
P2860
P304
P356
10.1073/PNAS.1218772110
P407
P577
2013-03-11T00:00:00Z