The Role of Social Interaction Filter and Visualization in Casual Browsing
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
Traces of social interaction in information spaces have the potential to improve information exploration. We evaluated interactive interfaces that utilize social interaction history. More specifically, we compared the value of a social filter and social interaction visualization in supporting casual browsing. We hypothesized that information filtering in general plays a more important role than visualization, as it provides additional control for users to browse information collections. Our experimental results showed that, compared to the baseline interface, the social filter increased subjective user satisfaction and was perceived by the study participants to enhance their effectiveness in finding interesting information. However, there were no significant differences between the social filter and social visualization systems. Our analysis suggested that the synergy of information filtering and visualization is more effective than each feature working separately.
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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 | 0.000 | 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