How to get only native retweets with a search filter?

I am trying to get all the tweets (and their native retweets) tweeted by a new media account. I want to measure the impact of their tweets in time. I expect to produce this type of list of tweets to make data visualizations

author	text	timestamp
@newsmedia	Original tweet by newsmedia	-
@oneuser	RT @newsmedia Original tweet by newsmedia	-
@otheruser	RT @newsmedia Original tweet by newsmedia	-
@newsmedia	Another Original tweet by newsmedia	-
@onemoreuser	RT @newsmedia Another Original tweet by newsmedia	-

So I’d need to filter to have the original tweets by the news media and the “nativeretweet” of those tweets

This is the query I am trying, that is not yet ready. I’d still need to add the filter to return only native retweets (like -filter:nativeretweets) and include the original tweets by the news media user:

twarc2 search 'url:"twitter.com/eldiarioes"' --exclude-replies --start-time 2018-03-21T00:00:01 --end-time 2018-03-21T23:59:59 --archive > 2018-03-21_eldiario_rts.json

[SamHames]

In that case, you would get the second - Twitter applies the AND operator first as specified in the docs: https://developer.twitter.com/en/docs/twitter-api/tweets/search/integrate/build-a-query#order-of-operations

If in doubt it’s best to throw in brackets to make it explicit and more readable.

(This is also something that changed from V1.1 to V2, the OR used to have priority)

[numeroteca]

Yes, I managed to do it with your advice. Thanks again!

For the record, I used these scripts, working just with twarc2 counts, to download the amount of tweets of every news media I am studying. I realized I didn’t need the real tweets (though in parallel I am analyzing the tweets to check these results).

All tweets by news media twarc2 counts --archive '(from:elconfidencial)' --start-time 2018-03-20T00:00:00 --end-time 2018-05-01T23:59:59 --csv --granularity day > newsmedia.csv

All tweets by news media and search topic twarc2 counts --archive '(from:elconfidencial cifuentes)' --start-time 2018-03-20T00:00:00 --end-time 2018-05-01T23:59:59 --csv --granularity day > newsmedia_topic.csv

All tweets by news media and their RT twarc2 counts --archive '(from:elconfidencial OR retweets_of:elconfidencial)' --start-time 2018-03-20T00:00:00 --end-time 2018-05-01T23:59:59 --csv --granularity day > newsmedia-RT.csv

All tweets by news media and their RT and search topic twarc2 counts --archive '( (from:elconfidencial OR retweets_of:elconfidencial) cifuentes)' --start-time 2018-03-20T00:00:00 --end-time 2018-05-01T23:59:59 --csv --granularity day > newsmedia-RT_topic.csv

Then with this other R script I processed all the data and generated visualizations like these ones:

For 1 news media:

Now I calculate the percentage for this news media in two ways:

• tweets by @newsmedia about the search topic from the total of tweets that the @newsmedia tweeted each day
• tweets by @newsmedia and their RT about the search topic from the total of tweets and RT that the @newsmedia got each day

All the news media together:

I also replicated these analysis by the hour and calculated their correlations.