Network skills influence social conditions. Marxism has an important theory: "Productivity determines production relations." Marx pointed out that the essence of human beings is the sum total of all social relations, with the main relations being economic relations, political relations, legal relations, etc. "Production relations" refer to the social relations formed during the process of material production, also known as economic relations. It is clear that production relations are a major component of social relations and video chatting, while productivity determines social relations or social conditions.
In September 1988, Deng Xiaoping further proposed: "Science and technology are the primary productive force." Therefore, we can conclude that scientific and technological skills are the most crucial part of productivity and largely determine production relations. In contemporary society, with the realization of network ubiquity, increasingly rich applications, and the enhancement of network intelligence, network technology has become representative of advancing scientific techniques. The development of network technology drives the progress of productivity, belonging to the first category of productive forces, which will inevitably have a profound impact on production relations, social relations, and social structures.
Embedded m people constrained by society
How does network technology influence social relations? Mark Granovetter, a professor in the Department of Sociology at Stanford University in the United States, has a very famous "embeddedness" (embeddedness) theory. He believes that each of us is "embedded" within social relations. The people we come into contact with in social relations determine the quality of the information we can obtain, and our behavior is influenced by the opinions of those around us. Our level of socialization determines the extent to which we are affected; thus, we are neither the completely rational "economic man" in classical economics nor the complete information symmetry assumed by traditional financial theories.
Specifically, the three aspects where we are most significantly influenced by social relations are: the acquisition and dissemination of information; interpersonal relationships and interactions; and personal social actions. These three aspects have undergone significant changes under the influence of network technology.
In an era without networks, people's information acquisition mainly relied on oral and paper-based methods of transmission. The former had a narrow reach, while the latter was slow in speed. People's interpersonal interactions were primarily limited to those who could engage in face-to-face exchanges frequently, with low efficiency in communication. Due to these two factors, people often formed long-term acquaintances circles, in which personal identity, position, and rights were clear. Social behavior was strong, with evident herd mentality and exclusion of strangers.
However, as networks gradually spread, one key condition for traditional social relations - locality - was broken. The speed of information dissemination greatly increased, and the scope of interpersonal interactions was no longer constrained by geographical location. Personal actions online were no longer bound by traditional social relations in the real world. At this point, although our behavioral motivations remained the same as before, influenced and constrained by the social environment, due to the characteristics of the network environment, environmental changes became more significant. We had much more opportunities to interact with strangers, and our compliance with the social environment decreased significantly.
These changes, on the one hand, gave us a broader, globalized perspective, but on the other hand, also brought issues such as excessive junk information, lack of credibility, public opinion violence, and increased possibilities of fraud, creating a strong sense of confusion among people.
Credit m rules guarantee in the virtual world
In traditional social conditions, as revealed by the "embeddedness" theory, we live long-term in a specific environment where credit is crucial in such a stable environment. This is because credit is a prerequisite for maintaining our status in that environment. If there are problems with credit, even if it is not illegal, we would still face strong social pressure. However, the problem in network societies arises from the increase in social interaction range and the acceleration of social change, leading to a decrease in people's emphasis on their own credit.
Therefore, establishing a credit system in the virtual world that does not bring traditional resistance like in the real world but can create a credit system similar to the real world becomes a key focus for future network development.
Even more so, due to the characteristics of the network, we can make the less prominent credit system in the real world more distinct in the network world, thereby enhancing the role of credit.
For example, in the real world, markets composed of small stalls, if the majority of customers are one-time visitors, such as near train stations, these small stalls are likely to deceive customers because it is difficult to establish a credit system, which cannot constrain these small stalls. In the network world, due to anonymity, if the model of online merchants gathers a large number of small stores, this issue should be more pronounced. However, because Taobao successfully established a visible buyer feedback evaluation system that everyone can see, hundreds of thousands of Taobao online shops can accumulate clear credit, avoiding fraud.
In the future, through the establishment of credit rules in network practice, it is possible that we can explore how to construct a more ideal social environment on the network. One day, these network rules may help guide us in establishing a more ideal real-world environment.
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