User Motivation and Persuasion Strategy for Peer-to-Peer Communities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In recent years, peer-to-peer systems have become more and more popular, especially with some successful applications like Napster and KaZaA. However, how to motivate user participation in peer-to-peer systems remains an open question for researchers. If few users are willing to participate in the community or make contributions to it, the peer-to-peer system will never become successful. To address the problem, this paper proposes a motivation strategy based on persuasion theories of social psychology. The main idea is to introduce a set of hierarchical memberships into p2p communities and reward active users with better quality of services. We have applied this strategy to a p2p system called Comtella and launched a study to test its effectiveness. The results of the study show that our motivation strategy is capable of stimulating the users to participate more actively and make more contributions to the community.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it