Delivering Information Literacy via Facebook: Here Comes the Spinach!
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
Abstract Objective – Information literacy (IL) skills are critical to undergraduate student success and yet not all students receive equal amounts of curriculum-integrated IL instruction. This study investigated whether Facebook could be employed by libraries as an additional method of delivering IL content to students. To test whether students would engage with IL content provided via a library Facebook page, this study compared the engagement (measured by Facebook’s reach and engagement metrics) with IL content to the library’s normal marketing content. Methods – We ran a two-part intervention using the University of Canterbury Library’s Facebook page. We created content to help students find, interpret, and reference resources, and measured their reception using Facebook’s metrics. Our first intervention focused on specific courses and mentioned courses by name through hashtagging, while our second intervention targeted peak assessment times during the semester. Statistics on each post’s reach and engagement were collected from Facebook’s analytics. Results – Students chose to engage with posts on the library Facebook page that contain IL content more than the normal library marketing-related content. Including course-specific identifiers (hashtags) and tagging student clubs and societies in the post further increased engagement. Reach was increased when student clubs and societies shared our content with their followers. Conclusion – This intervention found that students engaged more with IL content than with general library posts on Facebook. Course-targeted interventions were more successful in engaging students than generic IL content, with timeliness, specificity, and community being important factors in building student engagement. This demonstrates that academic libraries can use Facebook for more than just promotional purposes and offers a potential new channel for delivering IL content.
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 | 0.000 | 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 | 0.003 | 0.669 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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