Doubly Structured Data Synthesis for Time-Series Energy-Use Data.

As the demand for efficient energy management increases, the need for extensive, high-quality energy data becomes critical. However, privacy concerns and insufficient data volume pose significant challenges. To address these issues, data synthesis techniques are employed to augment and replace real data.

Perceived Usefulness and Easiness of Information and Communication Technologies and Volunteering among Older Adults.

This study investigates the association between older adults' perception of usefulness and easiness (PUE) of Information Communication and Technologies (ICTs) and volunteering, and if this association differs across their income status. Data were obtained from the 2012 wave of the Health and Retirement Study (HRS), and the sample was restricted to respondents aged between 60 and 84 (N = 901) and who completed the 2012 HRS technology module. Multinomial logistic regression was employed to examine the independent and joint influence of PUE of ICTs and of low-income status on volunteering.

The use of pro-ana blogs for online social support.

The aim of this research was to document the content on pro-ana blogs and to uncover how the unique socio-technical features of blogs (interactivity, self-disclosure, masspersonal communication) facilitate social support among members. A final sample of 48 pro-ana blogs provided 624 individual units for coding. Results indicate that prevalent forms of social support were emotional support, esteem support, and informational support.

Social media for message testing: a multilevel approach to linking favorable viewer responses with message, producer, and viewer influence on YouTube.

To explore the feasibility of social media for message testing, this study connects favorable viewer responses to antismoking videos on YouTube with the videos' message characteristics (message sensation value [MSV] and appeals), producer types, and viewer influences (viewer rating and number of viewers). Through multilevel modeling, a content analysis of 7,561 viewer comments on antismoking videos is linked with a content analysis of 87 antismoking videos. Based on a cognitive response approach, viewer comments are classified and coded as message-oriented thought, video feature-relevant thought, and audience-generated thought.