Table 1.
Demographic characteristics of the sample
| Characteristics | Frequency | % | |
|---|---|---|---|
| Gender | Male | 243 | 59.3 |
| Female | 167 | 40.7 | |
| Education | Undergraduate | 219 | 53.5 |
| Postgraduate | 165 | 40.2 | |
| Fellow/PhD/Doctoral | 26 | 6.3 | |
| Age (years) | 16–20 | 198 | 48.3 |
| 21–25 | 150 | 36.6 | |
| 26–30 | 55 | 13.4 | |
| Above 30 | 7 | 1.7 | |
| Minutes engaged in during working hoursa (min) | 16–20 | 35 | 8.5 |
| 21–35 | 105 | 25.6 | |
| 36–50 | 104 | 25.4 | |
| 51–65 | 114 | 27.8 | |
| 66–72 | 52 | 12.7 | |
| Minutes engaged in during non- working hoursa (min) | 20–40 | 79 | 19.3 |
| 41–60 | 85 | 20.7 | |
| 61–80 | 92 | 22.4 | |
| 81–100 | 75 | 18.3 | |
| 101–122 | 79 | 19.3 | |
| Favorite category of videos | Music | 49 | 12.0 |
| Film and entertainment | 44 | 10.7 | |
| Gaming | 65 | 15.9 | |
| Beauty and fashion | 53 | 13.0 | |
| Sports | 74 | 18.0 | |
| Technology | 42 | 10.2 | |
| Cooking and health | 24 | 5.9 | |
| News and politics | 59 | 14.3 | |
Note. Working hours refer to 9 a.m.–6 p.m.
a
Average minutes engaged with YouTube daily (average minutes observed by tracking 15-day-usage data of the respondents).