- Dec 2020
-
psyarxiv.com psyarxiv.com
-
Hu, C., Zhu, K., Huang, K., Yu, B., Jiang, W., Peng, K., & Wang, F. (2020, November 30). Using Natural Intervention to Promote Subjective Well-being of COVID-19 Essential Workers. https://doi.org/10.31234/osf.io/mc57s
-
- Aug 2020
-
journals.plos.org journals.plos.org
-
Aiken, E. L., McGough, S. F., Majumder, M. S., Wachtel, G., Nguyen, A. T., Viboud, C., & Santillana, M. (2020). Real-time estimation of disease activity in emerging outbreaks using internet search information. PLOS Computational Biology, 16(8), e1008117. https://doi.org/10.1371/journal.pcbi.1008117
-
- May 2020
-
psyarxiv.com psyarxiv.com
-
Runkle, J., Michael, K., Stevens, S., & Sugg, M. (2020, April 15). Quasi-Experimental Evaluation of Text-based Crisis Patterns in Youth following Hurricane Florence in the Carolinas, 2018. https://doi.org/10.31234/osf.io/auq5x
-
- Jul 2018
-
wendynorris.com wendynorris.com
-
Furthermore, and differentiating digital time from clock time, he suggests that a lack of adherence to chronological time is compounded by the fact that digital technologies connect with a flow of information that is al-ways and instantly available. He argues that continual change, which is bound up with web services such as social network sites, blogs and the news, is central to the experi-enced need for constant connectivity.
Q: How does this idea of time vs information flow affect the data harvested during a digital crowdwork process in humanitarian emergencies?
Q: How does this idea of time vs information flow manifest when the information flow is not chronological due to content throttling or algorithmic decisions on what content to deliver to a user?
-