In two days it will be a year since the inauguration of Twitter user ID 25073877. Time flies when things are beyond ridiculous, right?
Some of you may remember I’ve published before other posts looking into various aspects of this user’s tweetage. I have already detailed the methodology I have followed (as well as its acknowledged limitations) on some of those previous posts. This has been a work in progress. See for example this, or this, or even this. There’s more if you follow the links.
Anyway, as the anniversary of the inauguration approaches I wanted to share with you, for what it’s worth, some quick numbers from a whole year’s worth of Twitter data.
The dataset I worked with for the purpose of this post is based on a larger Twitter archive I’ve been collecting and studying.
The dataset that I looked into in this occasion is composed by 2,587 tweets posted between 18/01/2018 08:49 AM EST (GMT -5) and 18/01/2017 06:53 AM EST (GMT-5).
As usual I did some basic text analysis, and some quick comparative quant stuff.
20 Most Tweeted Terms
Other Twitter Data Numeralia
Twitter Text Counts
|Number of !||1,261|
|Number of Characters (no spaces, including URLs and usernames)||275,964|
|Number of Pages (single space, 12pt)||109|
|Number of Words||50,176|
|User followers as of 18/01/2018 08:49||46,815,170|
|User followers as of 18/01/2017 06:53||20,227,768|
|Gained followers in the period||26,587,402|
Tweets About the Mexico Border Wall
[hydrate tweets using twarc]
The susual caveats apply. Numbers must be taken with a pinch of salt: the Twitter Search API is not a complete index of all Tweets, but instead an index of recent Tweets– my archive has collected Tweets every hour, which means, for instance, that Tweets that are promptly deleted in between collections do not get archived.
I have attempted refining the dataset, but duplicated Tweets might have stubbornly survived, which in turn logically would have affected the counts. However, in spite of these limitations, the data is indicative and potentially useful and/or interesting as documentation of current and recent historical events. For what it’s worth.
We’ve lived with this user’s tweets daily, and we are very much aware of the kind of discourse developed through the constant, reliably exasperating tweetage. So these basic numbers are most likely not to tell you anything you weren’t aware of already. A simile occurs to me: we are all aware of the daily, accumulative effects of stress, or, say, ageing, but sometimes it is only until we compare snapshots that we realise the true extent of its effects.