The results showed more focus on software
= Prevention Focus.
Discussion of findings
The present study provided an integrative understanding of information withholding behavior of SNS users. We began with the assumption that information sensitivity is an important predictor of information withholding, which is in line with previous findings that as the level of information sensitivity increases, users are less likely to reveal information in terms of their privacy concerns ( Yang & Wang, 2009 ). However, it has been found that there is a discrepancy between users’ stated privacy
utilize our existing resources but also donate their own processed features and similarity metrics (subject to evaluation and space limitations). We have added a Repository of Processed Text and Resources page to the project website that encourages others to donate their processed text and features back to us so that we can integrate them into our suite and host them publicly. This is not unlike the UCSC Genome Browser ( https://genome.ucsc.edu/ ) where any group can donate tracks, download tracks, or juxtapose their own private custom tracks on public data.
explorative nature, this case study has limitations that future studies could address. Firstly, it only investigated three pairs of hashtags; the results might reflect a part of the whole picture. More cases of medical hashtags with similar semantic meanings between medical-terminology and lay-language should be compared to achieve a more generalizable conclusion. Secondly, Video and emoji are important features commonly incorporated in a tweet. Therefore, future studies should consider including video and emoji as components into the current coding scheme and integrate