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It may be useful to visualize data about conflict-related events alongside your social media data. This can help to identify online - offline connections, showing whether the increase in certain types of social media content correlates with an increase in certain types of events.
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To facilitate visualizing event data, the Phoenix platform allows you to import datasets of event data from ACLED.
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We understand that you may have your own event data that you would like to upload. In 2025, we are working on a feature that will allow you to upload your own event datasets.
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Download the ACLED event dataset you want added to your project and email it to [email protected] indicating the name of the Phoenix project to which you would like event data added. We will email you when the data is ready to be used in your dashboard.
We will create a table that connects the number of events (by type) to the number of posts and comments (by class), in the aggregate. The table will have the following columns:
| Column | Description |
|---|---|
| date_filter | For posts, this will be the post_date. For comments, this will be the comment_date. For events, this will be the xxx |
| class_type | For posts and comments, this will be the platform and then either post or comment, for example “facebook_posts” or “facebook_comments”. For events, this will be “events”. |
| class | For posts, this will be post_class. For comments, this will be comment_class. For events, this will be the xxx |
| count | For posts and comments, this will be the number of posts or comments with that class on that day. For events, this will be the number of events with that class on that day. |
With a table formatted in this way, you will be able to make graphs that show how the number of types of events correlates with the number of classes of posts or comments. For example, you could see how the number of “explosions” correlates with posts classified as “violence”. Here is an example of what a graph might look like.