This widget shows a time-series of how media and public interest in a search has changed over time - where media interest is the number of articles published and public interest is the number of social media interactions with those articles. 

Use this widget to understand how interest in a crisis, event or topic is changing over time.

You can group the data by hour or by day. 

NewsWhip Spike also allows you to add context to the graphs by adding your own notes to the timeline you’ve created.

Timeline notes

You can add notes to highlight points-of-interest in the Timeline or to keep track of important events.

To add a note, hover on the chart and select the plus icon on the X-axis. 

• You can add one note per point. And an unlimited number per search. 
• Choose whether the note should show on one chart or both.

Notes appear as markers on the Timeline. You can hover on a note to view the details.

When you add a Note, it’s linked to the Saved Search that powers the dashboard. 

If you add that search to another Dashboard, the notes will be visible.

Highlights

When there are significant peaks in the public interest and media interest charts in Timeline, NewsWhip Spike will automatically identify them and the Highlights feature will tell you what’s driving those peaks.

Click here to learn about how to use Highlights to identify and explain peaks in the Timeline.

Combined Timelines

You can compare searches using the Combined Timeline. To do so, simply add a second search to your dashboard and navigate to the “All Searches” view. 

You can compare searches across the same, or a different, time range. This is ideal for comparing a developing crisis with a previous incident. 

This can be displayed either to compare public interest or media interest, by toggling between the two using this button. 

You can also expand the widget, which will show you a larger version of the graph, as well as the most engaged articles for each of the searches in the time period selected.

This is a useful way to explore and compare events in detail, or to benchmark multiple different searches against one another.