step 3.2parison between Users having Dogs and you may Profiles in place of Pet

step 3.2parison between Users having Dogs and you may Profiles in place of Pet

Socio-demographic studies and number of profile images displayed for everybody analysed users (letter = 2400) and you may independently to have Vienna (letter = 1200) and Tokyo (letter = 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 Desk 5 ). On the selected analysed dating app, 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. https://datingranking.net/charmdate-review 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 study and you may amount of character photographs shown for all users that have pets (letter = 373) and you may users in the place of pet (letter = 2027).

step 3.3. Frequency and Categorisation from Dogs Shown with the Users

A further reason for the study would be to regulate how many users exhibited pet and what forms of animal was presented. In general, even more users into the Vienna (211; 17.6%) inform you pet on their profile than just profiles for the Tokyo (162; 13.5%) (? dos (1) = eight.622; p = 0.006). All the profiles-i.age., 77.7% when you look at the Vienna and you can 76.5% during the Tokyo-exhibited your pet, or animals, towards the a single reputation photo. Within the a smaller ratio of cases-we.age., twenty-two.3% in Vienna and you may 23.5% into the Tokyo-the newest profiles had one or more pictures indicating your pet, otherwise dogs, within their character.

3.3.step 1. Presentation of Pets in the first Reputation Images

Of 373 profiles choosing to include creature photos, 73 (19.6%) exhibited new pet on their earliest profile pictures. Here, comparison away from users during the Vienna and you can Tokyo found tall differences once the 65.9% profiles in Vienna shown your pet dog on the very first pictures just like the in contrast to 29.3% out of pages inside the Tokyo (? dos (1) = 8.610, p = 0.003). In addition, only profiles inside the Vienna (twelve.2%) demonstrated ranch pets toward earliest profile photographs. This resulted in a big difference so you can users in the Tokyo (? 2 (1) = cuatro.189, p = 0.041). I along with unearthed that a great deal more profiles inside the Tokyo demonstrated kitties (40.6%) and you will exotic dogs (fifteen.6%) within very first profile photo than simply pages inside the Vienna (pets = dos.4%; amazing dogs = 0.0%) (cats: ? 2 (1) = eight.819, p = 0.005; unique pets: ? dos (1) = 6.877, p = 0.009).

3.step 3.dos. Presentation out of Pet throughout Profile Photos (Like the Very first Profile Images)

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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