[Dahua Network Monitoring] What Are the Applications of Big Data Public Opinion Monitoring? – Baidu Knows

Application of Big Data in Public Opinion Analysis for the Two Sessions: What Are the Applications of Big Data Public Opinion Monitoring? – Baidu Knows

It has a wide range of applications, such as government public opinion management, public opinion management in universities and enterprises, smart city construction, comprehensive social governance, public opinion handling, and public opinion guidance and control.

Other answer: Crisis public relations.

Other answer: It achieves full network coverage and conducts full-network scans across multiple information channels including news, forums, blogs, Weibo, videos, newspapers, reviews, Q&A platforms, and SNS.

Application of Big Data in Public Opinion Analysis for the Two Sessions: What Are the Applications of Internet Big Data in Public Opinion? – Baidu Knows

With the rapid development of new technologies such as the mobile internet and the Internet of Things, humanity has entered the data age. The information storm brought by big data is profoundly changing our lives, work, and ways of thinking, and has also had a profound impact on online public opinion management.

I. New Situations Faced by Online Public Opinion Management in the Big Data Era
Big data means a massive increase in the data available for human analysis and use. The difficulty of effectively managing and harnessing this vast amount of data is constantly growing, presenting brand-new opportunities and challenges for online public opinion management.

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1. New Challenges in Online Public Opinion Management Brought by Big Data
First, the challenge of massive data. The vast volume of online information is difficult to control, and numerous relevant and incidental factors make public opinion more complex and volatile. Traditional methods and means of public opinion monitoring, analysis, and judgment are ineffective, requiring higher technical capabilities and new approaches.

Second, the challenge of selective information dissemination. The contradiction between the limitlessness of online data and the limited attention span of internet users exacerbates the “blind men feeling the elephant” effect in public opinion.

Social media facilitates information openness and convenient communication. Niche communication and personalized dissemination are prominent, making extreme views easier to find “like-minded” supporters, who then reinforce each other, amplify such views, and intensify extreme public sentiment.

Third, the challenge of fragmented discourse power. In the big data era, various types of data are readily available. More and more institutions and individuals draw conclusions through data mining and analysis, which spread rapidly, making effective public opinion management increasingly difficult.

2. New Opportunities in Online Public Opinion Governance Brought by Big Data.

First, expanding the scope of online public opinion governance. In the big data wave of “quantifying everything,” the internet has gradually become a “mirror” of the real world. Cyberspace and the real world are increasingly integrated. Online public opinion management is no longer confined to online speech but must fully grasp the laws governing online public opinion and its interaction with the real world, achieving full linkage and coordinated governance online and offline.

Second, enriching the means of online public opinion management.

Applying big data technology allows for comparative analysis of online public opinion across broader fields and longer timeframes, enabling more accurate grasp of internet users’ emotional characteristics, prediction of public opinion trends, and improvement of the efficiency of public opinion management.

Third, promoting theoretical research on online public opinion. With big data analysis, the perspectives of public opinion research will become more diversified and precise, changing the current awkward academic reality of “policy first, technique dominant, and theory lacking” in public opinion research.

3. New Requirements for Online Public Opinion Management Posed by Big Data
First, shifting from focusing on individual cases to overall control. Traditional online public opinion management focuses on managing major individual public opinion incidents, while big data enables better grasp of the overall trend of online public opinion development.

Second, shifting from passive response to proactive prediction. The core of big data is prediction. Through analysis of massive data, subtle hidden relationships can be uncovered to predict future trends and deploy preventive measures in advance.

Third, shifting from qualitative management to quantitative management. All relevant information, including internet users’ comments, emotional changes, and social relationships, is converted into quantifiable standard data for computational analysis. Data models are then used to calculate and analyze public opinion trends and directions.

II. Innovating Online Public Opinion Management with Big Data Thinking
To innovate online public opinion management in the big data era, big data concepts and methods must be integrated throughout, achieving “Five Integrations”.

1. Integrate big data closely with social governance to improve the source governance of online public opinion. Online public opinion is essentially a reflection of social conditions and public opinion. Strengthening online public opinion management means strengthening social governance. We must utilize big data’s powerful “correlation analysis” capability to build a “cube” of online public opinion data, integrate data from online and offline sources, analyze and mine the deep-seated relationships behind online public opinion and social dynamics, and achieve close linkage and synchronized progress between online public opinion management and social governance.

2. Integrate big data closely with the disclosure of daily government information online to enhance government credibility. Currently, the U.S. government has established a unified open data portal with interfaces for all sectors of society to develop applications using departmental data. This has advanced government transparency from the “information level” to the “data level,” opening a new path for government information disclosure. On the basis of ensuring data security, we must explore establishing China’s big data government transparency system, guide social forces to participate in the mining and use of public data, and maximize the value of data.

3. Integrate big data closely with daily public opinion management to enhance overall control over online public opinion. The New York City Police Department developed the famous ComStat system, which analyzes historical data to draw “crime maps,” predict high-crime times and locations, and strategically deploy police forces with great success. This “data-driven” approach offers valuable lessons for online public opinion management.

We must use big data to break through the narrow scope of traditional public opinion management, establish a big data ledger system for online public opinion, and record real-time data from various online platforms including websites, blogs, Weibo, WeChat, and forums. By comprehensively analyzing the dynamics of public opinion dissemination, we can identify management priorities from rapidly changing public opinion data, allocate resources rationally, and improve management efficiency.

4. Integrate big data closely with emergency response to enhance the capacity for online public opinion emergency handling. In the big data era, social emergencies are always closely linked with the internet. The internet can both act as a “combustion accelerator” for emergencies and serve as a powerful tool for responding to them. We must establish data models such as “quantitative indicator systems for public opinion” and “evolution analysis models” to comprehensively analyze data including incident nature, situation development, communication platforms, view counts, and public opinion tendencies. This enables rapid and accurate classification of public opinion levels, determination of response measures, resolution of issues like arbitrariness and lag in traditional public opinion classification, and achievement of scientific judgment and rapid response.

5. Integrate big data closely with public opinion guidance to enhance appeal and persuasiveness. Public opinion guidance in the big data era, on one hand, requires “acting based on data” by analyzing online data…

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