510,361 research outputs found

    Twitter mood predicts the stock market

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    Behavioral economics tells us that emotions can profoundly affect individual behavior and decision-making. Does this also apply to societies at large, i.e., can societies experience mood states that affect their collective decision making? By extension is the public mood correlated or even predictive of economic indicators? Here we investigate whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time. We analyze the text content of daily Twitter feeds by two mood tracking tools, namely OpinionFinder that measures positive vs. negative mood and Google-Profile of Mood States (GPOMS) that measures mood in terms of 6 dimensions (Calm, Alert, Sure, Vital, Kind, and Happy). We cross-validate the resulting mood time series by comparing their ability to detect the public's response to the presidential election and Thanksgiving day in 2008. A Granger causality analysis and a Self-Organizing Fuzzy Neural Network are then used to investigate the hypothesis that public mood states, as measured by the OpinionFinder and GPOMS mood time series, are predictive of changes in DJIA closing values. Our results indicate that the accuracy of DJIA predictions can be significantly improved by the inclusion of specific public mood dimensions but not others. We find an accuracy of 87.6% in predicting the daily up and down changes in the closing values of the DJIA and a reduction of the Mean Average Percentage Error by more than 6%

    Eliciting risk and time preferences under induced mood states

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    We test whether induced mood states have an effect on elicited risk and time preferences. Risk preferences between subjects in the control, positive mood, and negative mood treatments are neither economically nor statistically significant. However, we find that subjects induced into a positive mood exhibit higher discount rates and that subjects under negative mood do not differ significantly with a control group. Results also suggest that irrespective of mood state, introducing a cognitively demanding task before risk preference elicitation increases risk aversion and females are less risk averse when in all-female sessions than when in mixed-gender sessions

    Physical Activity Health Communication for Adults with Mood Disorders in the United States

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    Using national representative data, this study sought to examine receipt of physical activity communication and counseling among adults with mood disorders in comparison to the general population in the United States. The sample consisted of adult primary-care visits in the National Hospital Ambulatory Medical Care and National Ambulatory Medical Care Surveys. Multivariable logistic regression was used to examine the relationship between mental health status and receipt of physical activity communication and counseling. Overall, less than 20% of visits included physical activity communication and counseling. Controlling for covariates, visits for adults with a mood disorder diagnosis were associated with an increased odds of including physical activity communication and counseling, odds ratio = 1.25, 95% confidence interval = [1.08, 1.45]. Although adults with mood disorders were more likely to receive physical activity communication and counseling, most primary-care visits for adults in the United States did not include physical activity communication and counseling

    Radio and affective rhythm in the everyday

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    This article explores the role of radio sound in establishing what I term ‘affective rhythms’ in everyday life. Through exploring the affective qualities of radio sound and its capacity for mood generation in the home, this article explores personal affective states and personal organisation. The term affective rhythm relates both to mood, and to routine. It is the combination of both that allows the possibility of thinking about sound and affect, and how they relate to, and integrate with, routine everyday life. The notion of ‘affective rhythm’ forces us to consider the idea of mood in the light of the routine nature of everyday domestic life
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