Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: #Sleep_as_Android: Feasibility of Using Sleep Logs on Twitter for Sleep
  Studies   Social media enjoys a growing popularity as a platform to seek and share
personal health information. For sleep studies using data from social media,
most researchers focused on inferring sleep-related artifacts from
self-reported anecdotal pointers to sleep patterns or issues such as insomnia.
The data shared by "quantified-selfers" on social media presents an opportunity
to study more quantitative and objective measures of sleep. We propose and
validate the approach of collecting and analyzing sleep logs that are generated
and shared through a sleep-tracking mobile application. We highlight the value
of this data by combining it with users' social media data. The results provide
a validation of using social media for sleep studies as the collected sleep
data is aligned with sleep data from other sources. The results of combining
social media data with sleep data provide preliminary evidence that higher
social media activity is associated with lower sleep duration and quality.

27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph