Artificial Intelligence in the Public Sector Database

This Final_Deliverable.xlsx dataset contains the metadata of a sample of N=1,923 academic texts related to the use of Artificial Intelligence in the Public Sector. Its contents are split into the tabs below:

Datamap: provides a complete list of metadata variables including their codes, definitions and where they were pulled from (i.e. OpenAlex, BERTopic, or Manually Created).

Full_Results: contains full metadata of all N=1,923 academic texts.

Topic_Counts_Framework_Assign: contains variables that illustrate how we renamed and classified / integrated BERTopic produced topics into our functional framework categories (based identifying representative documents and qualitative review).

Intertopic_map: corresponds to Table 2 in the manuscript.

Cosine_Similarity_Matrix: shows pairwise cosine similarity scores for all 22 topics generated by BERTopic. A variation of this is included in Figure 6 within the manuscript.

Hyperparameter_Combos: records the 720 hyper parameter combinations we tested while fitting our BERTopic model, organized in descending order based on variable 'coherence_score'. Our final hyperparamter combination is in Record 2.