Social Media as a Passive Sensor in Longitudinal Studies of Human Behavior and Wellbeing
Association for Computing Machinery (ACM) via YouTube
Overview
Explore a conference talk that delves into the use of social media as a passive sensor for studying human behavior and wellbeing in longitudinal research. Learn about an infrastructural framework for collecting social media data at scale within a multimodal sensing study of workplace performance. Discover the relationships between social media data and individuals' demographic, personality, and wellbeing attributes. Examine the characteristics of participants who consent to share their social media data versus those who do not. Gain insights into practical experiences and implications for HCI researchers conducting similar longitudinal studies utilizing social media data. The talk covers topics such as project overview, infrastructure framework, development challenges, data collection methods, personality traits, and key takeaways from the research.
Syllabus
Introduction
Project Overview
Social Media as a Passive Sensor
Infrastructure Framework
Demo
Development Challenges
Data Collection
Facebook
Conquer
Personality Traits
Takeaways
Who agreed to share
Implications
Questions
Taught by
ACM SIGCHI