[Air-L] Tweet Secondary Media Uptake

Astvansh, Vivek astvansh at iu.edu
Sun Aug 5 07:28:16 PDT 2018


Thank you for asking, Liam. Let me paraphrase my understanding of what you want. Given a topic (hashtag, or just a word or phrase), you'd first collect all the tweets on that topic in a given date range. For each of the tweet in your sample, you next want to obtain data on news media articles that refer to the focal tweet. Did I understand you correctly AND completely? If no, please help.

If yes: you can obtain Twitter data from vendors such as Crimson Hexagon or GNIP. Next, you can write a program that searches Factiva or LexisNexis Academic for each tweet by text, username, etc.
________________________________________
From: Air-L <air-l-bounces at listserv.aoir.org> on behalf of LIAM MONNINGER <lmonninger at ucla.edu>
Sent: Sunday, August 5, 2018 10:24 AM
To: air-l at listserv.aoir.org
Subject: [Air-L] Tweet Secondary Media Uptake

Hi everyone,

My name is Liam Monninger. I'm an undergraduate researcher at UCLA, working
on a project that seeks to understand tweets as commitment devices in
international politics.

To better understand the audience of a given tweet, I would like to be able
to see and tabulate the secondary media where said tweet is embedded. I was
thinking, in the very least, I could just make a list of major publications
worldwide and manually check articles to see if a certain tweet is
embedded. But, it would be nice to have a more sophisticated method.

Any ideas? Is there perhaps a useful API?

Thanks,
Liam Monninger
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