@inproceedings{8e234959a9b24fe38c0ddb1b4ec3b7d9,
title = "Social media as a passive sensor in longitudinal studies of human behavior and wellbeing",
abstract = "Social media serves as a platform to share thoughts and connect with others. The ubiquitous use of social media also enables researchers to study human behavior as the data can be collected in an inexpensive and unobtrusive way. Not only does social media provide a passive means to collect historical data at scale, it also functions as a “verbal” sensor, providing rich signals about an individual's social ecological context. This case study introduces an infrastructural framework to illustrate the feasibility of passively collecting social media data at scale in the context of an ongoing multimodal sensing study of workplace performance (N=757). We study our dataset in its relationship with demographic, personality, and wellbeing attributes of individuals. Importantly, as a means to study selection bias, we examine what characterizes individuals who choose to consent to social media data sharing vs. those who do not. Our work provides practical experiences and implications for research in the HCI field who seek to conduct similar longitudinal studies that harness the potential of social media data.",
keywords = "Multimodal sensing, Passive sensing, Personality traits, Social media, Workplace",
author = "Koustuv Saha and Bayraktaroglu, {Ayse E.} and Campbell, {Andrew T.} and Chawla, {Nitesh V.} and {De Choudhury}, Munmun and D'Mello, {Sidney K.} and Dey, {Anind K.} and Ge Gao and Gregg, {Julie M.} and Krithika Jagannath and Gloria Mark and Martinez, {Gonzalo J.} and Mattingly, {Stephen M.} and Edward Moskal and Anusha Sirigiri and Aaron Striegel and Yoo, {Dong Whi}",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s). ACM; 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 ; Conference date: 04-05-2019 Through 09-05-2019",
year = "2019",
month = may,
day = "2",
doi = "10.1145/3290607.3299065",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems",
address = "United States",
}