Sexual selection, as one specific case of natural selection, operates on variance in reproductive success

Sexual selection, as one specific case of natural selection, operates on variance in reproductive success

In detail we hypothesise that female mating preferences will shape the online mating market as follows: (i) a high level of education will be demanded more in men than it is in women; (ii) if there are men of different races, white men will be more eligible than males of colour; (iii) high-status men will look for younger women more than lower status men do; and finally; (iv) men will show in their personal ads more signs of physical strength than women do. Men’s mating preferences for numerous, young and physically attractive women will shape the online mating market as follows; (v) men will use dating platforms, hoping to extend the number of sexual partners, more than women do; and (vi) being of an older age is for women less favourable than for men.

The interaction of male and female sexual strategies will have the following consequences in the online dating market; (vii) women will receive more requests than men do, and (viii) will receive more responses to their own requests than men do; (ix) women will be more self-centred in their profiles and communication than men; (x) highly attractive women will give fewer responses to requests than less attractive women; (xi) compared to men, older women will use dating services more frequently than younger women do.

Therefore, sexual selection operates more on males than on females

With respect to increased sexual wellbeing, we expect that; (xii) couples who meet in online settings will be more satisfied with their relationship than offline couples are (given the higher number of choices). With respect to sexual conflicts and risks to sexual wellbeing, we expect that; (xiii) women to be more frequently subjected to sexual deception because men are expected to display more emotional commitment than they actually feel (and a less possibilities for women to detect deception).

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