[What Does “Monitor Internet Disconnected” Mean?] How to Correctly Understand and Effectively Respond to Social Public Opinion

On how to correctly understand and effectively respond to social public opinion: central leaders often go online amid their busy schedules to communicate with netizens, understand public opinion, pool public wisdom, and listen to various opinions and suggestions through the internet. Cadres at all levels should also promptly listen to opinions from Party members and the general public, understand people’s appeals, solve their difficulties, and do practical things for them. This has become a new manifestation of the Communist Party of China’s commitment to building a harmonious society.

At present, the Central Committee and the State Council have set up specialized public opinion agencies that operate on a 24/7 basis, providing public opinion briefings for leaders’ reference. Leading comrades of the Party Central Committee issue numerous instructions on online public opinion every year.

Meanwhile, governments at all levels are establishing teams dedicated to internet public opinion monitoring, analysis, and response, as well as relevant duty and emergency mechanisms, many of which operate around the clock. Special personnel are assigned to monitor designated media and forums. In addition, many news organizations, including official media, are gradually establishing specialized systems for public opinion analysis, judgment, evaluation, and release.

Fundamentally speaking, the role of online public opinion monitoring systems requires timeliness, comprehensiveness, and accuracy. The Multi-Stream Public Opinion Data Analysis Platform meets these three core demands.
Timeliness: The earlier public opinion is detected, the more room there is for response and resolution. However, online public opinion often spreads explosively, and opportunities vanish quickly; missing the golden window can lead to irreparable consequences.
Comprehensiveness: Online public opinion tends to focus on isolated points rather than the whole picture. Amid massive data, key information can easily be overlooked.
Accuracy: Under the condition of massive data, accurately grasping the core of the problem without being distracted by chaos is the key to making correct judgments.

Current public opinion monitoring practices have many areas for improvement. First, manual monitoring has inherent limitations.

Assigning fixed staff to work 24/7, continuously browsing target websites and searching for keywords, is the most direct yet primitive method in the absence of automation. Constrained by personal subjectivity, manual monitoring inevitably has blind spots and may miss issues that seem unimportant at first but turn critical later. Humans cannot detect changes on certain websites or obscure pages. Moreover, fatigue from long-term monitoring often leads to oversights. All these cause large deviations in timeliness and accuracy.

Second, there is over-reliance on search engines. People often assume that search engines are the only tool capable of finding a needle in the haystack of online public opinion. Yet search engines have significant limitations. Besides being highly keyword-dependent, their results mostly come from unrestricted websites, excluding login-required platforms such as forums — precisely where netizens voice their opinions most actively. Furthermore, search engine crawlers have delays and cannot capture real-time webpage updates.

Therefore, search engines cannot provide a complete picture of an issue, as they target keywords rather than problems, lacking comprehensiveness. They cannot obtain desired results instantly due to slow content updates and no timeliness-focused services, lacking real-time performance. They only return massive, disorganized results for general concerns rather than specific ones, lacking accuracy.

Evidently, we cannot fully rely on search engines for online public opinion monitoring. New technical methods are needed to detect, track, and analyze public opinion.

To ensure the timeliness, comprehensiveness, and accuracy of public opinion monitoring, the most reliable approach is to use automated public opinion monitoring systems. Such systems overcome the shortcomings of manual methods, monitor target websites and the entire internet, track the evolution of public opinion topics, and automatically generate daily or weekly reports, integrating public opinion management into routine government work. Public opinion monitoring refers to the supervision and prediction of influential, tendentious views held by the public on hot topics and focal issues in real life.

It is mainly applied by government agencies and PR departments of large and medium-sized enterprises. The Multi-Stream Public Opinion Data Analysis Platform, recently inspected in Shenzhen, meets professional monitoring needs. It conducts 24/7 monitoring across major channels including news media, forums, BBS, microblogs, images, and videos, performs professional statistical analysis, and delivers monitoring reports.

Governments and enterprises usually employ dedicated professionals to properly handle monitoring results. This work is an important part of publicity and information affairs. Through regular online monitoring and trend analysis, different mechanisms are adopted: routine monitoring, early-warning monitoring, and emergency response. Problems in work reflected in public opinion are addressed promptly, netizens are responded to without delay, feedback channels are unblocked, and public suggestions are carefully heard.

Reports are also prepared for higher-level authorities or enterprise leadership.

Nowadays, few organizations assign staff to manually search online information all day — the volume is too large, efficiency is too low, and manual work lacks timeliness, comprehensiveness, and accuracy. Most monitoring is done through software that integrates real-time information from forums, blogs, news, SNS platforms, WeChat, etc., and provides instant alerts for sensitive content. These are the core functions of modern public opinion monitoring work.

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