Getting a Feel of Instagram Reels: The Effects of Posting Format on Online Engagement
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
This study analyzed the effects of posting format on an Instagram post’s engagement. Posting formats, including pictures, videos, and Reels, are different ways of sharing content on Instagram. Prior research shows that short-form content has grown in recent years, spurring formats such as Instagram Reels. Nevertheless, a comparison of short-form content and traditional posting formats had not yet been observed. Quantitative data was collected through the content analysis method, which analyzed Instagram posts from small jewelry business accounts. Reels were found to receive the highest average engagement, allowing posts to gain more likes and comments than pictures and videos. However, limitations included the presence of outliers and the narrow scope of studied accounts. By utilizing these findings, struggling business accounts on Instagram may be able to increase the likes and comments of their posts more efficiently, ultimately increasing the chances of their success on the platform.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it