Funding for this research was provided by:
National Science Foundation (CC-NIE Award Number #1541342)
Text and Data Mining valid from 2019-11-20
First Online: 20 November 2019
Compliance with Ethical Standards
: On behalf of all authors, the corresponding author indicates that there is no conflict of interest.
: The current research was supported by a grant sub-award via an institutional grant from the National Science Foundation, CC-NIE Award Number #1541342. Additional information about the grant can be found in the acknowledgements that accompany this article. The study was reviewed and approved through an expedited review procedure via our institution’s IRB. The study protocol is compliant with the 1964 Declaration of Helsinki and later addenda, the Belmont Report, and Title 45 Part 46 of the US Code of Federal Regulations.
: The current study uses online posts that are publicly available. The data are artifacts, and no contact with live participants occurred during data collection. As such, informed consent was not sought. However, as a research safeguard, all online users whose posts were used as data were assigned random participant numbers. Thus, no online monikers are provided in our published reports, and this helps to create a buffer between readers of our published reports and the online posters.