step three.2parison between Pages with Pet and you can Pages instead Animals

step three.2parison between Pages with Pet and you can Pages instead Animals

Socio-market analysis and you will number of profile images exhibited for everyone analysed profiles (letter = 2400) and you will alone for Vienna (letter = 1200) and you can Tokyo (n = 1200).

Of the 2400 investigated profiles, 373 (15.5%) displayed at least one animal photo. In both cities, we found a positive correlation between the number of profile photos and the number of profile photos showing animals (Vienna: rs = 0.184; p = 0.008 | Tokyo: rs = 0.206; p = 0.009).

Comparison of the users who displayed animal photos on their profile and the users who did not do so resulted in the following significant differences (see Dining table 5 ). On the selected analysed dating app, datingranking.net/adam4adam-review significantly more women than men (p = 0.049) present animal photos on their profiles. Further, significantly more users in Vienna (p = 0.006), and significantly more older users (p = 0.019), have profiles with animal photos as compared with users in Tokyo and younger users. In addition, users who display an animal photo on their profile post, on average, display one more photo than users who do not do so (p < 0.001). No significant differences between heterosexual and homosexual users of the analysed app were identified (p = 0.639) (see Table 5 ).

Table 5

Socio-market research and you can level of profile photographs demonstrated for everyone pages which have pet (letter = 373) and you may profiles rather than animals (n = 2027).

step 3.step 3. Prevalence and Classification off Pet Showed into Profiles

A further intent behind the study was to regulate how of a lot pages presented animals and you can what types of animal had been showed. Generally speaking, more profiles for the Vienna (211; 17.6%) inform you dogs on the reputation than just pages inside Tokyo (162; thirteen.5%) (? 2 (1) = seven.622; p = 0.006). Most of the profiles-i.elizabeth., 77.7% within the Vienna and you will 76.5% into the Tokyo-demonstrated your pet, or pets, for the just one character photographs. Inside a smaller proportion from instances-i.elizabeth., twenty-two.3% within the Vienna and you will 23.5% within the Tokyo-brand new users had several images exhibiting the pet, otherwise pets, inside their profile.

3.step three.1. Presentation out-of Animals in the 1st Character Pictures

Of your own 373 pages choosing to include animal images, 73 (19.6%) demonstrated the latest animals on their basic reputation photo. Right here, evaluation from profiles within the Vienna and you may Tokyo shown significant distinctions because 65.9% profiles for the Vienna shown a dog towards basic photographs as weighed against 31.3% out of users when you look at the Tokyo (? 2 (1) = 8.610, p = 0.003). Also, simply profiles inside Vienna (12.2%) show farm dogs towards basic character photographs. That it lead to a big difference to profiles in the Tokyo (? 2 (1) = cuatro.189, p = 0.041). We in addition to discovered that a great deal more profiles for the Tokyo displayed kittens (40.6%) and you may amazing dogs (15.6%) within their basic profile images than profiles for the Vienna (kittens = 2.4%; amazing dogs = 0.0%) (cats: ? 2 (1) = seven.819, p = 0.005; amazing pet: ? dos (1) = 6.877, p = 0.009).

step three.3.2. Demonstration regarding Pets in all Character Pictures (Including the First Reputation Photos)

Figure 1 shows the percentages of various animal species shown on the analysed profiles. Again, comparison between the profiles in Vienna and Tokyo revealed significant differences here. Users in Tokyo were significantly more likely to show cats (35.8%) and small animals (6.8%) than users in Vienna (cats = 18.0%; small animals = 0.0%) (cats: ? 2 (1) = , p < 0.001; small animals: ? 2 (1) = , p < 0.001). The Viennese profiles included farm animal (10.9%) and horse (7.1%) photos significantly more often than the profiles in Tokyo (farm animals = 0.6%; horses = 1.2%) (farm animals: ? 2 (1) = , p < 0.001; horses: ? 2 (1) = 7.270, p = 0.007) (see Figure 1 ).

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