Future-oriented tweets predict lower county-level HIV prevalence in the United States.

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Toward Automating HIV Identification: Machine Learning for Rapid Identification of HIV-Related Social Media Data.Big Data's Role in Precision Public Health.Can Twitter be used to predict county excessive alcohol consumption rates?

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Future-oriented tweets predict lower county-level HIV prevalence in the United States.

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Future-oriented tweets predict lower county-level HIV prevalence in the United States.

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Future-oriented tweets predict lower county-level HIV prevalence in the United States.

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Future-oriented tweets predict lower county-level HIV prevalence in the United States.

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Future-oriented tweets predict lower county-level HIV prevalence in the United States.

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H Andrew Schwartz

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Lyle H Ungar

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Molly E Ireland

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Qijia Chen

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Estimated HIV incidence in the United States, 2006-2009

Quantifying the advantage of looking forward

Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes

From epidemiological synergy to public health policy and practice: the contribution of other sexually transmitted diseases to sexual transmission of HIV infection.

A test of major assumptions about behavior change: a comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic.

Age, sex, social class, and quality of family interaction as determinants of adolescents' future orientation: a developmental task interpretation.

Future orientation in the self-system: possible selves, self-regulation, and behavior.

The STEP into Action study: a peer-based, personal risk network-focused HIV prevention intervention with injection drug users in Baltimore, Maryland

Naturalistically observed swearing, emotional support, and depressive symptoms in women coping with illness.

Delayed reward discounting and addictive behavior: a meta-analysis

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1252-1260

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scholarly article

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10.1037/HEA0000279

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Dolores Albarracin

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2015-12-01T00:00:00Z

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26651466

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Twitter

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5621637

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Future-oriented tweets predict lower county-level HIV prevalence in the United States.

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Future-oriented tweets predict lower county-level HIV prevalence in the United States.

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