Theoretically, surfing the internet itself is not enough to directly affect the fertility concept and behavior of netizens. Because the information on the internet presents a variety of faces, of course, there are also some information that is unfriendly to fertility and does not encourage fertility. For example, unmarried, leftover men and women, single population economy, dink family, rising divorce rate, involution of education and high cost of raising children all seem to point to the general trend of low fertility.
Under the long-term influence of the network low fertility culture, netizens will be subtly influenced by the concept of low fertility. Behind the chic Dink culture, to a certain extent, people's emotional expression of fertility anxiety and their active escape from fertility pressure are the manifestations of the decline of fertility confidence index.
However, correlation does not mean causality. In the application of cross-sectional data analysis, special attention should be paid to the relationship between variables, and it is difficult to draw the conclusion of causal inference without context. Before the empirical analysis, we should first make a logical qualitative analysis. The key is to avoid talking to yourself and presuppose the answer.