Social Media as a Passive Sensor in Longitudinal Studies of Human Behavior and Wellbeing
Association for Computing Machinery (ACM) via YouTube
Overview
This course explores the use of social media as a passive sensor in longitudinal studies of human behavior and wellbeing. The learning outcomes include understanding how social media can serve as a platform for data collection, analyzing the relationship between social media data and individual attributes, and studying selection bias in consent for data sharing. The course teaches skills such as utilizing an infrastructural framework for data collection, analyzing demographic and personality traits, and drawing implications for research in the HCI field. The teaching method involves a case study presentation with a focus on practical experiences and implications. The intended audience includes researchers in the field of Human-Computer Interaction (HCI) interested in conducting longitudinal studies using social media data.
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