The Influence of Social Presence, Social Exchange and Feedback Features on SNS Continuous Use
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
Social network sites (SNS) are venues for information sharing that provide a variety of communication features capable of stirring emotions, attitudes and beliefs. This paper highlights the role of SNS feedback features and the meanings they communicate to their users, as design elements capable of enhancing the SNS experience. Based on the theories of Social Presence and Social Exchange, the study suggests and empirically validates a research model where Feedback, Perceived Social Presence, Attitude, Enjoyment and Perceived Usefulness are hypothesized to explain intentions to continue to use an SNS. The results of an online survey of 262 Facebook users found that feedback features were central SNS components that influenced perceptions of social presence and enjoyment, which in turn, along with attitude and perceived usefulness, influenced intentions to continue using Facebook, explaining 55% of its variance. The theoretical and practical implications of these results are discussed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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