The rapid development of mobile Internet infrastructure, short-video platforms, artificial intelligence, and digital-publishing technologies has transformed the production, distribution, and reception of mainstream news content. This study examines how traditional mainstream media can adapt their communication strategies to a converged-media environment while retaining authority, credibility, and public-service value. The research combines three analytical layers. First, Lasswell’s 5W model is used to organize communication analysis around communicator, content, channel, audience, and effect. Second, the SECI knowledge-creation model is adapted as an organizational framework for understanding how tacit newsroom experience can be socialized, externalized, combined with platform data and explicit production rules, and internalized as new professional routines. Third, a computational text-analysis layer incorporates TF–IDF weighting, CBOW/Skip-gram word representation, GloVe-style co-occurrence modeling, cosine similarity, new-word scoring, and Transformer-based contextual encoding. The case materials concern Chinese mainstream-media short-video practice, digital-publishing workflows, a corpus-processing experiment in which 11,256 collected text records were reduced to 10,134 usable records after cleaning, and a descriptive distribution of 364 “News Broadcast” short-video forwarding observations. The analysis indicates that successful convergence requires more than transferring television content to mobile platforms. Mainstream media need stable original-content production, platform-specific narrative design, audience-oriented interaction, verified information, brand continuity, and an integrated workflow connecting editorial knowledge with data-assisted content analysis. The study therefore proposes a communication strategy centered on two mutually reinforcing mechanisms: combination, through which explicit editorial, platform, and data resources are reorganized into usable production knowledge; and transformation, through which this knowledge becomes new routines, narrative forms, and audience relationships. The study does not claim causal proof of communication effectiveness, but provides an integrated conceptual and computational framework for future empirical evaluation.
