3.2parison between Profiles having Pets and you will Profiles in place of Dogs

3.2parison between Profiles having Pets and you will Profiles in place of Dogs

Socio-market analysis and amount of reputation photographs exhibited for all analysed users (n = 2400) and independently having 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, 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-demographic investigation and you will quantity of character pictures displayed for everybody profiles with dogs (letter = 373) and pages instead of pet (n = 2027).

3.step three. Incidence and how to use chemistry you can Classification regarding Animals Presented to the Users

A much deeper function of the study would be to regulate how of numerous profiles displayed pet and you can what kinds of creature had been demonstrated. Generally speaking, much more pages inside the Vienna (211; 17.6%) let you know animals on the profile than just users in Tokyo (162; thirteen.5%) (? dos (1) = eight.622; p = 0.006). The users-we.e., 77.7% during the Vienna and 76.5% for the Tokyo-presented the pet, otherwise dogs, on the just one profile pictures. Into the a smaller sized proportion from times-i.age., 22.3% for the Vienna and you will 23.5% inside Tokyo-the brand new pages got multiple pictures appearing the pet, or animals, within their character.

step three.3.step one. Presentation out-of Pets in the first Profile Photos

Of 373 users deciding to were animal photo, 73 (19.6%) demonstrated the new dogs on the earliest reputation photographs. Here, investigations regarding profiles inside Vienna and you may Tokyo shown significant variations while the 65.9% pages within the Vienna shown a puppy on very first photographs given that weighed against 29.3% away from users for the Tokyo (? dos (1) = 8.610, p = 0.003). In addition, just profiles in Vienna (several.2%) have indicated ranch pets towards basic profile images. It contributed to a big change in order to pages into the Tokyo (? dos (1) = cuatro.189, p = 0.041). We along with discovered that so much more pages into the Tokyo displayed kittens (forty.6%) and you will exotic dogs (15.6%) inside their first reputation photos than simply users into the Vienna (cats = 2.4%; unique dogs = 0.0%) (cats: ? dos (1) = seven.819, p = 0.005; exotic animals: ? dos (1) = six.877, p = 0.009).

3.step three.dos. Presentation of Pet in every Character Photo (Such as the Earliest Character 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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