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Policing and Society
An International Journal of Research and Policy
Volume 34, 2024 - Issue 3
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Articles

The potential of automated classification to categorise police force tweeting behaviours: leading the way to large scale analysis

Pages 139-165 | Received 14 Dec 2022, Accepted 01 Sep 2023, Published online: 28 Sep 2023

Figures & data

Table 1. Tweeting behaviours per force.

Table 2. Example tweets for all forces and classes.

Table 3. Classification results for all classifier and vectorizer combinations.

Figure 1. Confusion matrix of logistic regression classification results.

Figure 1. Confusion matrix of logistic regression classification results.

Table 4. Examples of classification false positives.

Table 5. Top 10 most common words for each class per police force.

Table 6. Summaries of tweet attributes for each class per police force.

Figure 2. Tweet class usage per force.

Figure 2. Tweet class usage per force.

Figure 3. Number of tweets (aggregated per week) for each class per force.

Figure 3. Number of tweets (aggregated per week) for each class per force.

Table 7. Average tweet metric for each class per force.

Table 8. Multilevel linear regression models per tweeting strategy