Speaking multiple languages allows you to communicate with more people, so if you tweet in multiple languages, you can be proud that you've enabled more people to read what you have to say.
Audience for the insight
applies to all networks.
Does this insight serve users with less or more activity?
If a user has only tweeted in one language, this doesn't make sense.
First-run: does this insight show up on a user's first crawl? Yes, it can.
How often this insight runs
[ x] Always (triggered by a data event, check the data and update insight on every crawl)
[x ] Daily (check the data once a day, don't regenerate every crawl)
[ ] Weekly on a fixed day (specify day of week per network to space these out)
[ ] Monthly on a fixed day with bonus magic day within first 2 weeks of use (specify day of month per network to space these out)
[ ] Annual on a fixed date (specify day of year)
[ ] Annual every 365 days from first appearance
I've marked both always and daily, because I'm not sure. I'm not sure whether Twitter's api returns the language a tweet is in, and detecting it using something like AlchemyAPI might take too long to do on every crawl.
Headline
%username %tweeted in %nlanguages languages so far.
%username is reaching a global audience by %tweeting in %nlanguages languages.
Body
They've tweeted in %comma_separated_languages.
Most (%most_percent %) of their %tweets are in %most_used_language), followed by %second_percent % in %second_language.
Those %tweets could reach %world_population_percent % of the world's population!
Tout
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See a map of where in the world people undrstand your tweet.
Criteria and logic
This insight would run when they've tweeted in a language they haven't tweeted in before.
It would need all the posts since the last crawl, and store a set of the user's languages.
It would only be triggered if the user has posted in more than one language.
What data does this insight need? Last week's posts? Last month's? Just the user's posts?
Does the insight count replies as well as non-replies?
Are there baseline comparisons? What is the logic around the comparison?
Are there special copy cases? (for example, if the baseline comparison matches)
Is there a minimum threshold for any bit of data before the insight should get generated?
Emphasis
[ ] High
[ ] Medium
[ ] Low
Included elements
[x] Headline
[x] Text
[ ] Header image (image off to the left in side-by-side style insights)
[ ] Hero image (giant image on top)
[ ] List of user(s)
[ ] List of post(s)
[ ] List of link(s)
[ ] Action button (please specify button label and URL button should link to)
[ ] Line chart
[ ] Bar chart
[ x] Other viz (pie chart, showing language percentages)
Get the word out to a wider audience.
In how many languages you've tweeted, and what percentage of your tweets were in each language.
Full explainer
Speaking multiple languages allows you to communicate with more people, so if you tweet in multiple languages, you can be proud that you've enabled more people to read what you have to say.
Audience for the insight
applies to all networks.
Does this insight serve users with less or more activity? If a user has only tweeted in one language, this doesn't make sense.
First-run: does this insight show up on a user's first crawl? Yes, it can.
How often this insight runs
I've marked both always and daily, because I'm not sure. I'm not sure whether Twitter's api returns the language a tweet is in, and detecting it using something like AlchemyAPI might take too long to do on every crawl.
Headline
Body
Tout
undefined
Criteria and logic
This insight would run when they've tweeted in a language they haven't tweeted in before. It would need all the posts since the last crawl, and store a set of the user's languages. It would only be triggered if the user has posted in more than one language.
Emphasis
Included elements