Research Article
How Differing Audiences Were Associated with User Emotional Expression on a Well-Being App
Table 1
User and activity characteristics.
| Characteristics of participants | Observations (%) |
| Number of unique persons | 1269 (100) | Gender | Female | 776 (61.15) | Male | 209 (16.47) | Unknown | 284 (22.38) | Year | 2017 | 63 (4.96) | 2018 | 611 (48.15) | 2019 | 595 (46.89) | Device | Android | 312 (24.63) | iPhone | 955 (75.37) | Time zone | Africa | 22 (1.74) | America | 870 (68.67) | Asia | 90 (7.10) | Australia | 75 (5.92) | Europe | 203 (16.02) | Pacific | 7 (0.55) | Activity type | Writing to explicit audience | 94 (7.41) | Writing to implied audience | 1175 (92.59) | | | Mean | Std | Max | Min | | | Length | 1269 | 18.04 | 22.30 | 335.00 | 3.00 | 6.00 | 21.00 | Sadness | 1227 | 0.25 | 0.23 | 0.97 | 0.00 | 0.07 | 0.40 | Anger | 1227 | 0.11 | 0.14 | 0.95 | 0.00 | 0.03 | 0.14 | Fear | 1227 | 0.15 | 0.19 | 1.00 | 0.00 | 0.03 | 0.18 | Disgust | 1227 | 0.08 | 0.12 | 0.93 | 0.00 | 0.01 | 0.09 | Joy | 1227 | 0.42 | 0.32 | 0.99 | 0.00 | 0.12 | 0.71 |
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All analyses include only users first completed activity from users who wrote at least 3 words, wrote in English.
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