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دسته بندی:
روانشناسی - Psychology
سال انتشار:
2018
عنوان انگلیسی مقاله:
Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis
ترجمه فارسی عنوان مقاله:
پیش بینی ویژگی های شخصیتی پنج بزرگ از رد پای دیجیتال در رسانه های اجتماعی: متا آنالیز
منبع:
Sciencedirect - Elsevier - Personality and Individual Differences, 124 (2018) 150-159: doi:10:1016/j:paid:2017:12:018
نویسنده:
Danny Azucar, Davide Marengo⁎, Michele Settanni
چکیده انگلیسی:
The growing use of social media among Internet users produces a vast and new source of user generated eco
logical data, such as textual posts and images, which can be collected for research purposes. The increasing
convergence between social and computer sciences has led researchers to develop automated methods to extract
and analyze these digital footprints to predict personality traits. These social media-based predictions can then
be used for a variety of purposes, including tailoring online services to improve user experience, enhance re
commender systems, and as a possible screening and implementation tool for public health. In this paper, we
conduct a series of meta-analyses to determine the predictive power of digital footprints collected from social
media over Big 5 personality traits. Further, we investigate the impact of different types of digital footprints on
prediction accuracy. Results of analyses show that the predictive power of digital footprints over personality
traits is in line with the standard “correlational upper-limit” for behavior to predict personality, with correlations
ranging from 0.29 (Agreeableness) to 0.40 (Extraversion). Overall, our findings indicate that accuracy of pre
dictions is consistent across Big 5 traits, and that accuracy improves when analyses include demographics and
multiple types of digital footprints.
Keywords: Social media ، Digital footprint ، Big 5 traits ، Personality ، Data mining ، Predictive modeling
قیمت: رایگان
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