The Twitter TV Content Page view allows you to see data for any airing, generally starting 6 weeks out from premiere. Viewing the Twitter TV Content Page in Linear mode analyzes Emotional Reactions that occurred 3 hours before, during or 3 hours after a new or live airing. Viewing the Content page in 24/7 Mode analyzes all reactions to the series, inclusive of the Linear Airtime Window. For more information on Linear vs 24/7 mode, click here.
Navigation Menu Bar
The drop-down on the Content Page menu bar allows you to select the date range in which you’d like to view data. When clicking into a particular date range, a drop-down offering the opportunity to select a Season and Episode will appear.
The menu bar also empowers you to navigate data on the series you’re viewing in either a 24/7 or in a Linear view.
The menu bar also includes our Structured Search. In order to search for terms within the series page, select Search.
Structured Search will become available and allow you to search for any word, hashtag, or handle that appears for the entire time period selected. You can then choose to Include or Exclude these parameters from the data.
Filters
The Filters option to the right of Search allows you to filter on specific Emotions and Driver Categories. You can also filter on the Tweet Source, Target Audience, and Location. It also allows you to Show or Hide Retweets, Replies, and Quotes. Select Apply once you have selected your filters
Emotions - Select which Canvs Emotions you would like to filter by.
Driver Categories - There are various Driver Categories that you can choose to filter by.
Tweet Source - Choose conversation that comes from different sources, websites, or devices.
Target Audience - If you have created Target Audiences in Canvs, you can filter on them here.
Location - Choose conversation coming from various Countries, Regions, or Localities.
Quick Compare
Select the Quick Compare button to be taken to the Compare page with the current program you're viewing and the corresponding metric you select.
For more information on Compare, click here.
Benchmark This
Select the Benchmark This button to be taken to the Explore page with the current dataset you are viewing benchmarked against similar programming.
For more information on Benchmarks, click here.
Tree Map
The Tree Map contains clusters that provide an immediate snapshot of how viewers felt about a show or which Topics were discussed the most. Each block represents an Emotion expressed on social media about a particular show or a Topic that was highly discussed on social media. By clicking into a box/cluster, you can see all of the Emotional Reactions or Topics that Canvs has categorized from the Tweet data.
Toggle on the Emotions tab to view the Emotions Tree Map
Toggle on the Topics tab to view the Topics Tree Map
You can also use Canvs' Multi-Select to group Emotions and Topics together for analysis. You can do this by clicking on each desired cluster/box in the Tree Map and selecting which Emotion or Topic you want to group, or by using the Emotions or Topics Filter option in the Filters dropdown. Read more about how to Multi-Select here.
Note: Click on Clear to undo your selections.
You are able to export the Tree Map to a PNG file. Select Export and Tree Map Screenshot to download a PNG file to your local computer.
Timeline
The Canvs timeline is a map of all the Tweets and Emotional Reactions that occurred within the selected timeframe.
Highlight the desired timeframe you would like to zoom in on by clicking at the beginning of your timeframe on the bar graph and dragging your cursor to the end of the timeframe. Once the desired timeframe is selected, the emotional clusters will update to reflect the Emotional Reactions that occurred during that time. In addition, the topics, hashtags, mentions, and authors data will all update accordingly.
Settings
Just above the timeline, you are able to toggle between the necessary units, whether you see total Tweets and modes of measurements.
The three options under Settings are:
Units
Tweets
Mode
Units allows you to choose the measurement of time you’d like to analyze the data in.
Tweets allows you to the option to remove overall tweet volume to focus on just Emotional Reactions.
Mode allows you to select whether you would like to view the data by volume or by rate.
Ranker
Below the Tree Map, you’ll see the top Drivers, Categories, Topics, Hashtags, Mentions, Emotions, and Locations that drove conversation alongside the actual Tweets for the show being analyzed, in what we call the Ranker.
These Top Drivers will also update based on the cluster/Tree Map options selected.
The Ranker will also act as Filters: clicking on anything in the associated Word Cloud or List will update the data pertaining to the parameter you’ve selected.
To access the Word Cloud, click on the Cloud Icon. You can export the word cloud by clicking Download PNG image.
You are also able to view Top Drivers/Categorizes/Topics etc in a Horizontal bar chart. Select the Bar Chart icon to view the Horizontal bar chart. The chart is exportable by clicking the icon with three stacked lines.
You will see both the emotional and non-emotional reaction analysis. The blue bars represent the Emotional Reactions, and the grey represents the Non-Emotional Tweets
Location Data in the Ranker
Here, you can see the breakdown of Tweets with Location data available – aggregated by 3 options: Country (e.g. United States), Region (e.g. California), Locality (e.g. Los Angeles). You can also toggle between Share and Volume. You can also toggle between share (% of Tweets with Location Data available) and volume.
From the above screenshot: 24.8% of the Tweets with Location data available are from the United States.
74.4% of these tweets are from Unique Authors/Tweeted only Once ( and the remaining 25.6% of these United States Tweets were from authors that tweeted more than once)
Important: Please note, that Location Data is only available if the individual who is Tweeting has this allowed in their Permissions/Privacy Settings. This means that the Location Data Ranker will most likely not add up to 100%, because not every individual who Tweeted has Location Settings permissible.
In this example above, out of the total Tweets that were captured, 50.18% did have Location data available. That means that the remainder 40.82% of Tweets did not have Location data available.
The corresponding percentages from Countries/Region/Locality are based on this total percentage of Location data available. The example above is read as: "24.8% of these Tweets with Location Data available are from the United States out of the total percentage of Tweets (50.18%) with Location data available."
Exports
By selecting our Export button, you then are empowered to get a full export of the data you are currently viewing in an excel spreadsheet. There are five types of exports:
Linear Recap Analysis
24/7 Analysis
Users Export
Treemap Screenshot
Treemaps to Powerpoint
Timeline Screenshot
Location Map (Note: To View the map, you need Microsoft Office 2019 or higher)
Audience Full Export (Available from the Audience Tab)
If you are looking at a single airing on a Twitter TV page, you have the option of downloading a one page Airing Summary. For detailed information on the Airing Summary, click here.
Learn more about exports here.
You can also export all Tweets in your verbatim list, or a filtered set. Learn how here.
Audience Tab
The Audience tab allows you to look at the number of unique authors Emotionally Reacting to your content. Specifically, it looks at the percentage of the unique authors that express an emotion.
The Loyal Audience metric is defined as the percentage of authors that Emotionally Reacted to this airing compared to the last timeframe (i.e. 3 months to last 3 months, etc.)
In the Top Authors table, you can sort the Top Authors by the number of Followers they have or the number of Reactions. Clicking on the authors will update the Reaction samples to show all the Tweets that author Tweeted.
Data Retention
Starting May 15, 2020, Canvs will archive the actual verbatims from our database for years 2017 and prior, retaining the current year plus two historical years on a rolling basis. Each January, we will archive the oldest year to maintain our data privacy and retention requirements.