Social Psychology Commons^™

Self-Transcendent Emotions And Social Media: Exploring The Content And Consumers Of Inspirational Facebook Posts, Katherine R. Dale, Arthur A. Raney, Qihao Ji, Sophie Janicke-Bowles, Joshua Baldwin, Jerrica T. Rowlett, Cen Wang, Mary Beth Oliver

Communication Faculty Articles and Research

Although a great deal of research has examined the potential negative effects of Facebook, studies also show that Facebook use can lead to various positive effects. This study builds on this positive effects scholarship: together, the two studies presented herein aim to provide an understanding of the inspirational content available on Facebook and the way social media users in the United States encounter, recall, and interact with this content. Results from the quantitative content analysis in Study 1 show that inspirational Facebook posts contain similar frequencies of hope and appreciation of beauty and excellent elicitors when compared with other forms …

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …