2 MECHANISTIC ANALYSIS OF
SYNERGISTIC OPTIMIZATION
BETWEEN CAPITAL
PARTICIPATION AND KURO
TECHNOLOGY’S MARKETING
STRATEGY AND BIG DATA
PUBLIC SENTIMENT
MONITORING SYSTEM
2.1 Capital Advantage and Resource
Integration
The infusion of Tencent’s capital directly resolved
Kuro Technology’s funding bottlenecks in R&D and
market promotion. For example, the open-world
game Wuthering Waves, which Kuro Technology had
been developing for several years, generated over
RMB 200 million in global revenue on its first day of
launch, demonstrating how ample funding can
significantly accelerate market rollout. In addition to
financial support, Tencent brought abundant channel
resources and brand influence. By leveraging
Tencent’s own platforms-WeChat, QQ, Tencent
Video, and others-Kuro Technology achieved cross-
channel resource integration, thereby forming a
unique marketing network. According to Resource-
Based Theory, a firm’s sustained competitive
advantage stems from resources that are both unique
and difficult to imitate; Tencent’s capital and channel
resources thus constitute the key factors that enabled
Kuro Technology to stand out in the competitive
landscape.
2.2 Brand Trust and Market
Expansion
Another notable effect of Tencent’s majority stake in
Kuro Technology has been the enhancement of the
company’s brand trust. As an industry authority,
Tencent’s investment provided powerful brand
endorsement, fostering consumer and partner
confidence in Kuro’s products. Drawing on
Integrated Marketing Communications Theory, Kuro
Technology-backed by Tencent-implemented a
coordinated online-and-offline, multi-channel
promotional strategy, rapidly expanding its market
reach through advertising campaigns, KOL
partnerships, and live-streamed promotions.
According to available data, following Tencent’s
acquisition, Kuro’s new game Wuthering Waves
amassed nearly 30 million users worldwide in its first
week, underscoring the role of brand trust in driving
market expansion. Moreover, Wuthering Waves
demonstrated sustained growth by June 2024, ranking
among the top three global ACG mobile games by
revenue and claiming the number one spot in the
South Korean ACG mobile market.
2.3 Data Collection and Intelligent
Processing for Public Opinion
In today’s information-explosive era, precise
collection and analysis of public opinion data are
critical for enterprises (Lan & Xu, 2020). By
leveraging public opinion cloud-data platforms-such
as Alibaba Cloud Dataworks and Tencent Cloud TI-
ONE-real-time data are harvested from over 80,000
websites, more than 5,600 forums, in excess of 300
million Weibo accounts, and over 25 million WeChat
accounts. Natural Language Processing (NLP)
techniques are then applied to this enormous corpus
of text for semantic parsing and sentiment analysis.
Mature early-warning mechanisms for online public
opinion crises-built on Analytic Network Process
(ANP) and stochastic Petri nets (Tian et al., 2023)-
operate by first filtering enterprise-related data via
predefined keywords, then computing a sentiment
index for each piece of text with thresholds (for
instance, designating sentiment scores above 0.7 as
high-risk negative content), and finally employing
clustering algorithms to aggregate and organize
emerging hotspots, thus pinpointing major events and
their primary sources of negative information.
2.4 Early-Warning Mechanism and
Decision Feedback
The early-warning mechanism is a crucial component
of the public opinion monitoring system. An alert
system is established by setting thresholds based on
sentiment scores and topic popularity; once sustained
negative sentiment exceeds these thresholds, a
warning is triggered. Representative studies suggest
that the growth pattern of online public opinion
follows a logistic curve, divided into incubation, early
diffusion, late diffusion, and recession phases (Xing
& Li, 2020). If public opinion can be extinguished
during the early diffusion phase, the spread of
negative sentiment can be effectively contained.
Moreover, since rumors and doubts grow most
rapidly at the outset, suppressing public opinion early
on is of paramount importance (Wang et al., 2013).
When the 1.2 version of Wuthering Waves was newly
launched, negative comments about in-game event
anomalies and frame drops surged, and discussions of