Web3 Multimedia Applications: Under the Impact of Decentralization
Bibliographic record
Abstract
In the Web3 ecosystem, multimedia applications exhibit significant potential by leveraging decentralization, regarded as the core spirit of Web3. This survey aims to provide a comprehensive overview of the potential of decentralization in shaping multimedia applications in the Web3 ecosystem. Through a systematic review of the academic research conducted over the past decade on Web3 decentralization, we identify the two key distinctive decentralization characteristics (decentralized assets and decentralized participation). Subsequently, we comprehensively analyze Web3 applications from both technology and application dimensions. Building upon this, we focus on multimedia-related aspects and propose an architecture for Web3 multimedia applications. In contrast to the broader scope of Web3 applications, the unique aspects of Web3 multimedia applications reside in their core application components (non-fungible tokens and smart contract-based rules) and core application domains (art, games, and social media). Based on this architecture, we provide a precise definition of Web3 multimedia applications. Lastly, through the lens of the two identified distinctive decentralization characteristics, we investigate the advantages, development, and limitations of Web3 multimedia applications within the three core application domains, namely crypto art, blockchain games, and blockchain on social media (BOSM). Furthermore, we share our insights into several promising yet challenging directions, covering the interoperability and potential of increasingly valuable multimedia content, as well as the delicate balance between centralization and decentralization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".