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Social Media as a Passive Sensor in Longitudinal Studies of Human Behavior and Wellbeing

Published: 02 May 2019 Publication History

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.

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  • (2024)X as a Passive Sensor to Identify Opinion Leaders: A Novel Method for Balancing Visibility and Community EngagementSensors10.3390/s2402061024:2(610)Online publication date: 18-Jan-2024
  • (2024)Beyond Detection: Towards Actionable Sensing Research in Clinical Mental HealthcareProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997558:4(1-33)Online publication date: 21-Nov-2024
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cover image ACM Conferences
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
May 2019
3673 pages
ISBN:9781450359719
DOI:10.1145/3290607
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 02 May 2019

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Author Tags

  1. demographics
  2. multimodal sensing
  3. passive sensing
  4. personality traits
  5. social media
  6. workplace

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  • Extended-abstract

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  • Intelligence Advanced Research Projects Activity (IARPA)

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CHI '19
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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

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  • (2024)Cryptocurrency Turmoil: Unraveling the Collapse of a Unified Stablecoin (USTC) through Twitter as a Passive SensorSensors10.3390/s2404127024:4(1270)Online publication date: 17-Feb-2024
  • (2024)X as a Passive Sensor to Identify Opinion Leaders: A Novel Method for Balancing Visibility and Community EngagementSensors10.3390/s2402061024:2(610)Online publication date: 18-Jan-2024
  • (2024)Beyond Detection: Towards Actionable Sensing Research in Clinical Mental HealthcareProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997558:4(1-33)Online publication date: 21-Nov-2024
  • (2024)Observer Effect in Social Media UseProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642078(1-20)Online publication date: 11-May-2024
  • (2024)The Effect of Individual-Level Factors and Task Features on Interface Design for Rule-Verification Crowdsourcing TasksInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2332031(1-28)Online publication date: 16-Apr-2024
  • (2023)Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview StudyJMIR Formative Research10.2196/473807(e47380)Online publication date: 10-Aug-2023
  • (2023)Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational StakeholdersProceedings of the ACM on Human-Computer Interaction10.1145/36102077:CSCW2(1-33)Online publication date: 4-Oct-2023
  • (2023)Mental Wellbeing at Work: Perspectives of Software EngineersProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581528(1-15)Online publication date: 19-Apr-2023
  • (2022)Utopia Lost – Human Rights in a Digital WorldApplied Cybersecurity & Internet Governance10.5604/01.3001.0016.12381:1(1-19)Online publication date: 3-Dec-2022
  • (2022)Semantic Gap in Predicting Mental Wellbeing through Passive SensingProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502037(1-16)Online publication date: 29-Apr-2022
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