This Easter have been playing with searches on Twitter and I could see the vast amount of information that can be able to filter like a hacker. Some time ago I told you how you can search tweets from Google, but the fact is that the API that exposes the social network itself has much more power than you could imagine. So far it is possible that you were handled only simple searches, using usernames or hashtags, but the truth is you can go much further.
All Twitter clients use this API today, so you can use many operators from any of them, and even combine them. In this post I will show you some super hacker examples so that you can take advantage of this social network.
More than once I lost time searching tweets of a conversation between two people, scrolling in a timeline. The smart way to get this information is through the operators from and to.
It is also possible search the exact words, as in other search engines. To do this, simply type quotation marks around the exact phrase you want to find in the social network.
Tweets filtered by language
If you want to search for only those tweets in a specific language add the operator lang:language as part of the filter.
@username | word | «exact words» filter:images | videos | links | news
To find pictures, videos, links of an user or a particular topic you should use the filter operator followed by the type of information you’re looking for.
from:username source:»app’s name»
Another super hacker search would locate all tweet from a user who has sent from a particular device or application. For example: from:0gis0 source:»Twitter for iPhone». To find out what source we are looking at a client like TweetDeck can show you the application used in the detail of any tweet.
tweets about a specific location
For this type of search is necessary the user who has written the tweet has geolocation enabled at the time of publication. Use near to retrieve tweets from a particular location.
tweets within a range of dates between two people
Another interesting option is to review the conversations that two people have within a time frame. For example, if I wanted to know what my colleague Isabel Cabezas said since August until December in 2015 it would be a query like this: from:isabelcabezasm to:0gis0 since:2015-08-01 until:2015-12-01
This can be as elaborate as you want. The easiest way to play with these searches is through the URL https://twitter.com/search-home
Here’s a link that shows examples of some of the operators available and use cases with each of them.
The interesting thing is that these can be concatenated and reach more complex combinations of filtering. It is also possible to generate queries with more than one criteria using advanced search.