Enterprise AI Analysis
Research on the Mechanism between Public Opinion Transmission and Capital Market Response of Artificial Intelligence Technology Innovation Events: A Multilevel Network Analysis Study
Authors: Duan Chen, Yining Wang, Junyi Zhang
In the contemporary flourishing digital economy, advancements in artificial intelligence are incessantly reconfiguring the capital market landscape. This study commences with the industry perturbation instigated by the DeepSeek large - model to explore the interactive mechanisms between financial public opinion and capital markets during technological innovation events. Through the comprehensive utilization of methods such as literature review, case analysis, social network analysis, and regression analysis, and drawing on 12,329 Weibo public opinion data points and high frequency trading data from 16 A - share DeepSeek concept stocks, a novel "technology decoding - market response" dual - path model is constructed. The study reveals that technology - related pub-lic opinion gradually infiltrates the financial domain via a three - stage progression: "professional decoding – industry restructuring – investment decision - making." Technology bloggers assume a pivotal role in information dissemination, as evidenced by an in-termediary centrality of 0.29. The data further indicate that for each one - standard - deviation increment in public opinion inten-sity, the excess return of concept stocks surges by 1.8% after 36 hours (p = 0.03), whereas the impact of sentiment polarity on stock prices is not statistically significant (β = 0.04, p = 0.41).Adopting an integrated perspective from journalism and behavioral finance, this research elucidates the propagation patterns of technology - related public opinion and its inherent connections with capital markets, and it formulates a "technology-finance" public opinion governance framework. These findings provide crucial theoreti-cal underpinnings and practical guidelines for the prevention of financial risks associated with technology - related public opinion, thereby having far - reaching implications for optimizing finan-cial market regulation and enhancing public opinion management systems.
Key Executive Insights
This analysis highlights critical metrics and findings for strategic decision-making in an AI-driven market.
0
Excess Return Surge (After 36h)
0
Intermediary Centrality (Bloggers)
0
Weibo Data Points Analyzed
0
Sentiment Heat-Stock Price Correlation
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Public Opinion Dynamics
Capital Market Linkages
AI/Tech Innovation Impact
Risk Management & Governance
Enterprise Process Flow: Technology Decoding - Market Response
Professional Decoding
→
Industry Restructuring
→
Investment Decision-Making
0.29
Intermediary Centrality of Tech Bloggers
The study identifies that the overall density of the DeepSeek public sentiment dissemination network is low (0.0147), indicating scarce repost behaviors and limited direct interaction. However, a "core-periphery" configuration exists, where a small number of key nodes, primarily technology bloggers, drive information flow, acting as critical bridges in dissemination.
Analysis of emotional tendencies shows that DeepSeek-related public sentiment is largely positive (77.75%), attracting attention and support for technology development. Conversely, negative remarks (18.16%) often correlate with public concerns and asset price impacts, underscoring the need to understand emotional drivers in public discourse.
1.8%
Concept Stock Excess Return Surge (After 36 hours)
| Metric | Correlation with Stock Price |
|---|---|
| Search Index | 0.5811 (p < 0.01) |
| Public Sentiment Heat | 0.6988 (p < 0.01) |
| Public Sentiment Emotion | -0.4194 (p = 0.41, statistically insignificant) |
The research unequivocally demonstrates that public sentiment volume, or 'heat', is a primary driver of stock price fluctuations in technology-driven market events. In contrast, the emotional polarity of sentiment shows statistically insignificant correlation, suggesting that investors prioritize factual and technical content over purely emotional factors.
A critical finding is the identified 36-hour lag-response window between public sentiment intensity and capital market fluctuations. This precise temporal window is crucial for regulatory authorities to implement timely and effective interventions to stabilize market volatility and mitigate financial risks.
The DeepSeek-R1 Model Launch: A Case Study
The emergence of the DeepSeek large model in late 2024, with its "low-cost + high-performance" technological breakthrough, profoundly influenced the capital market. This led to a notable decline in traditional computing power concept stocks while simultaneously boosting edge-side hardware and application scenario concept stocks. This phenomenon highlights the complex interaction between technological innovation and financial market dynamics, demonstrating how investor value appraisals of the AI industrial chain are reshaped by technological advancements.
0
Tech Bloggers Lead Decoding Phase
0
Institutional Media Lead Restructuring Phase
0
Retail Investors Lead Decision-Making Phase
The study outlines a three-stage progression of technology-related public opinion infiltration into the financial domain: professional decoding, industry restructuring, and investment decision-making. Each stage is characterized by different dominant nodes, from technology bloggers translating complex information to institutional media providing industrial context, and finally, retail investors forming investment consensus.
Technical Public Sentiment Monitoring System Development
Develop a knowledge graph of technical terminologies to enhance recognition and interpretation. Design a communication-level tracking algorithm for real-time sentiment propagation trajectories and scope, facilitating timely detection of potential risks.
Financial Risk Mitigation Tools Implementation
Establish a circuit-breaker threshold for public sentiment intensity. When posts reach a predefined threshold, initiate measures like suspending margin trading of related stocks to prevent excessive market fluctuations.
Regulatory Coordination Mechanism Establishment
Implement a tripartite verification system involving regulatory authorities, technical experts, and platform institutions. Enforce dynamic 'whitelist' management for core nodes to ensure authenticity and standardized information dissemination.
The proposed "technology-finance" public opinion governance framework aims to prevent financial risks associated with technology-related public opinion. It provides crucial theoretical underpinnings and practical guidelines for optimizing financial market regulation and enhancing public opinion management systems.
Quantify Your AI ROI Potential
Leverage our interactive calculator to estimate the potential cost savings and efficiency gains your organization could achieve by integrating advanced AI solutions, informed by the market impact of DeepSeek.
Annual Cost Savings
$0
Annual Hours Reclaimed
0
Your Path to AI-Driven Excellence
Our structured implementation roadmap guides enterprises through the strategic adoption of AI, from initial assessment to full-scale deployment and continuous optimization.
Phase 1: Discovery & Strategy
Comprehensive assessment of current systems, identification of high-impact AI opportunities, and development of a tailored AI strategy aligned with business objectives.
Phase 2: Pilot & Prototyping
Rapid development and deployment of proof-of-concept AI solutions, testing hypotheses, and gathering initial feedback to refine the approach.
Phase 3: Full-Scale Implementation
Integration of AI solutions into existing workflows, robust infrastructure setup, and comprehensive training for your teams to ensure seamless adoption.
Phase 4: Optimization & Scaling
Continuous monitoring, performance tuning, and iterative improvements to maximize AI's impact, exploring opportunities for scaling across the enterprise.
Ready to Transform Your Enterprise with AI?
Unlock the power of artificial intelligence to drive innovation, optimize operations, and gain a competitive edge. Our experts are ready to guide you.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat