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    ABSTRACT: We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests. The proposed model uses dimensionality reduction for preprocessing the Likes data, which are then entered into logistic/linear regression to predict individual psychodemographic profiles from Likes. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African Americans and Caucasian Americans in 95% of cases, and between Democrat and Republican in 85% of cases. For the personality trait "Openness," prediction accuracy is close to the test-retest accuracy of a standard personality test. We give examples of associations between attributes and Likes and discuss implications for online personalization and privacy.
    Proceedings of the National Academy of Sciences 03/2013;
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    ABSTRACT: To develop a screening tool to allow a postmenopausal woman to determine whether to seek evaluation for hypoactive sexual desire disorder (HSDD). The Brief Profile of Female Sexual Function (B-PFSF) was developed using items from the Profile of Female Sexual Function (PFSF) and the Personal Distress Scale (PDS). Logistic regression analysis was used to select items best able to discriminate between women with HSDD (n = 743) and controls (n = 226) and a screening cut-off score was identified. Cross-validation analyses were conducted using PFSF and PDS responses from an independent group of 147 HSDD women and 104 controls. Forty cognitive interviews were additionally conducted to assess validity of the final tool. A seven-item instrument was found to provide good discrimination between postmenopausal women with HSDD and controls and to be a reliable and valid tool. Ninety-six percent of women with HSDD and 97% of control women in the independent validation were classified correctly using the identified cut-off score. In the cognitive interviews, all women stated that the questionnaire was easy to complete and covered relevant aspects of sexual function. The Brief Profile of Female Sexual Function (B-PFSF) is psychometrically valid and appropriate for use as a self-administered screening tool.
    Gynecological Endocrinology 12/2007; 23(11):638-44.
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