Digital governance must continually increase statistics and law enforcement to avoid data distortion.



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  Digital governance must avoid data distortion

□ Ling Feng

Recently, the State Administration of Radio and Television issued the “Regulation on the Responsibility System to Prevent and Punish the Falsification and Falsification of Online Radio, Television and Audiovisual Statistics”, which proposed the comprehensive prevention and severe punishment of falsification and falsification of statistics, and perfected the implementation of the accountability system for online radio, television and audiovisual statistics. Coincidentally, not long ago, the Ministry of Education also issued the “Regulation on the Responsibility System to Prevent and Punish the Falsification and Falsification of Educational Statistics (for Implementation of Tests)”. Although the two documents are industry specific, they all point to the question of how to further ensure the authenticity of statistical data, which is particularly important in the process of moving forward in building a digital society.

Authenticity and accuracy are the core values ​​of data. Without true and accurate data, there can be no accurate predictions, effective guidance, or scientific decision-making. Especially in the information age, digitization permeates all aspects of people’s lives and production and has a significant impact on economic development, social governance, state management and people’s lives. When society becomes increasingly reliant on data, once key data becomes distorted, its negative effects can continue to radiate and drive, resulting in “a small difference, thousands of miles away.”

There are technical reasons for data distortion, such as unreasonable data collection standards and non-scientific data statistical methods, which can be resolved by improving technical methods. What is more important are those human factors, in this sense there are data distortions caused by carelessness or lack of skill, and some people take the initiative to falsify out of standardism or even out of personal interest. After all, making sure the data is true and accurate is as much a technical issue as it is a legal issue. It is necessary to pay attention to the timely application of new technologies and to strengthen the guarantee of the legal system. From this point of view, the relevant departments in the news mentioned are commendable for their policies to prevent data fraud.

Digital governance must avoid data distortion. Of course, preventing and controlling data fraud is not just a matter for the statistics department, nor is it just a matter for the government department. To this end, on the one hand, it is necessary to continually increase the application of statistical law, use legal weapons to severely punish statistical fraud and statistical fraud and establish a system of coverage, traceability and strict liability in the way of the rule of law. to prevent and punish statistical fraud and fraud. On the other hand, we must also think about “joint building, joint governance and sharing”, mobilize the forces of the whole society, make good use of the rule of law and crack down on data fraud in all areas. of life in accordance with the law, so that true, accurate and effective data can better serve social governance work.









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