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Posted by Danny Dover It is greatly ironic that algorithms, the quintessential example of all that is not human, would be so fundamental to social media. Last week I wrote a post about how Google gathers user data . This week I continue by exposing how popular social media websites use algorithms to utilize user data. Although humans power social media, it is algorithms that provide the frameworks that make user input useful. As proven by the countless social sites online, finding the correct mix of participation and rules can be extremely difficult. Below are some of the algorithms that when combined with the right people have proven successful. Popular Social Media Algorithms Y Combinator's Hacker News : Formula : (p - 1) / (t + 2)^1.5 Description : Votes divided by age factor p = votes (points) from users. t = time since submission in hours. p is subtracted by 1 to negate submitters vote. age factor is (time since submission in hours plus two) to the power of 1.5. Source: Paul Graham, creator of Hacker News Reddit : Formula : Description : First of all, the time 7:46:43 am on December 8th 2005 is a constant used to determine the relative age of a submission. (It is likely the time the site launched but I have not been able to confirm this) The time the story was submitted minus the constant date is t s . t s works as the force that pulls the stories down the frontpage. y represents the relationship of up votes to down votes. 45 ...
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Posted by Danny Dover It is greatly ironic that algorithms, the quintessential example of all that is not human, would be so fundamental to social media. Last week I wrote a post about how Google gathers user data . This week I continue by exposing how popular social media websites use algorithms to utilize user data. Although humans power social media, it is algorithms that provide the frameworks that make user input useful. As proven by the countless social sites online, finding the correct mix of participation and rules can be extremely difficult. Below are some of the algorithms that when combined with the right people have proven successful. Popular Social Media Algorithms Y Combinator's Hacker News : Formula : (p - 1) / (t + 2)^1.5 Description : Votes divided by age factor p = votes (points) from users. t = time since submission in hours. p is subtracted by 1 to negate submitters vote. age factor is (time since submission in hours plus two) to the power of 1.5. Source: Paul Graham, creator of Hacker News Reddit : Formula : Description : First of all, the time 7:46:43 am on December 8th 2005 is a constant used to determine the relative age of a submission. (It is likely the time the site launched but I have not been able to confirm this) The time the story was submitted minus the constant date is t s . t s works as the force that pulls the stories down the frontpage. y represents the relationship of up votes to down votes. 45 ...