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Twitter Will Be Judging Your Tweets
Twitter announced this week that it would soon be enhancing its API with two additions to its metadata.
Upgraded Language Detection
One of these changes is a new language property which will determine each Tweet’s language by way of Twitter’s machine language detection algorithms. While it will most likely have no great impact on the use of the site, the feature is designed to simplify the sites translation and filtering.
Filter_level
Twitter’s metadata change that is getting all the attention is the new ‘filter_level’. This change will surely have more of an effect on the user, as it gives power to the developers by enabling algorithms to rank your tweets. This will help apps that filter and organize content to bring you the most appropriate and highest quality results. The filter_level will grade the streaming API, and will have filtered settings that allow the user to look through more specific content with value ratings of none, low, medium, and high.
How high, or low will your Twitter content rank?
While this feature will make your searches cleaner and more appealing, there’s bound to be some dissatisfied users due to their personally low ratings. Not that some people couldn’t use a wake-up call about the uselessness of their tweets. And though there’s no way to foresee the end results of the change, it’s likely that users will become more aware of the value of their content and in turn, tweet with more importance. Moreover, the filtered content should be easier to navigate and contain less junk.
The content’s ratings is speculated to be determined by a combination of data such as engagement numbers, views and shares, though Twitter has not yet revealed the specifics of the new algorithm’s process of ranking users content.
The filter level addition was due to roll out on February 20th, and is expected to be followed shortly after by the language detection attribute
Upgraded Language Detection
One of these changes is a new language property which will determine each Tweet’s language by way of Twitter’s machine language detection algorithms. While it will most likely have no great impact on the use of the site, the feature is designed to simplify the sites translation and filtering.
Filter_level
Twitter’s metadata change that is getting all the attention is the new ‘filter_level’. This change will surely have more of an effect on the user, as it gives power to the developers by enabling algorithms to rank your tweets. This will help apps that filter and organize content to bring you the most appropriate and highest quality results. The filter_level will grade the streaming API, and will have filtered settings that allow the user to look through more specific content with value ratings of none, low, medium, and high.
How high, or low will your Twitter content rank?
While this feature will make your searches cleaner and more appealing, there’s bound to be some dissatisfied users due to their personally low ratings. Not that some people couldn’t use a wake-up call about the uselessness of their tweets. And though there’s no way to foresee the end results of the change, it’s likely that users will become more aware of the value of their content and in turn, tweet with more importance. Moreover, the filtered content should be easier to navigate and contain less junk.
The content’s ratings is speculated to be determined by a combination of data such as engagement numbers, views and shares, though Twitter has not yet revealed the specifics of the new algorithm’s process of ranking users content.
The filter level addition was due to roll out on February 20th, and is expected to be followed shortly after by the language detection attribute
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