The Use of Facebook in the Slovenian Local Self-Government: Empirical Evidence
Bibliographic record
Abstract
The paper presents a contribution to the rapidly growing field of social networks usage in public administration organizations. Despite the increasing volume of research in this field, there is a lack of detailed empirical evidence. To address the issue, we aim here at comprehensive empirical analysis of the usage of Facebook as the most popular social networking site among Slovenian municipalities. The methodology of research is based on 21 indicators measuring usage, engagement, multichannel features, multi-media content, and the existence of a social networks usage strategy. The measurement has been performed in each of the 212 Slovenian municipalities. Their Facebook interaction has been observed in a period of six months, from November 2015 to May 2016. The analysis results reveal that only 36% of the Slovenian municipalities were present on Facebook in 2016, with almost a quarter having a zero interaction rate on their Facebook pages/profiles in the observed six-month period. In particular, one-way interaction was recorded on municipal Facebook pages, leaving considerable room for improvement as regards the usage of Facebook as a social network with the highest potential of reach and engagement in terms of number of its users. The results are useful for information and benchmarking purposes for Slovenian and foreign municipal managers.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".