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  1. 9 votes

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    acknowledged  ·  3 comments  ·  Twitter for Academic Research » APIs & Tools  ·  Flag idea as inappropriate…  ·  Admin →
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    Anonymous commented  · 

    Hi, thanks for your follow up.

    Being able to randomly sample from a collection allows unbiased characterization studies otherwise impossible from the outside. If you don't have access to the complete collection, crawling methods introduce a bias.

    Having access to random tweets using the API would eliminate this bias. A lot of studies based on Twitter data are targeted at characterizing user behavior (e.g., topic attention, social graph properties). How are these studies influenced by the crawling strategy adopted?

    In a nutshell, to understand the Twitter ecosystem, its properties and dynamics, we need to be able to obtain samples from the collection uniformly at random.

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  2. 22 votes

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