This is the text for my presention at the “National Forum on Ethics and Archiving the Web”. I had the honour of being on an Archiving Trauma panel with some great people. Michael Connor, Chido Muchemwa, Coral Salomón, Tonia Sutherland, and Lauren Work, thank you for sharing your stories! The world is a beautiful and terrible place. Twitter can be beautiful. Twitter is fucking awful. So, capturing traumatic events on Twitter.
This past week Compute Canada provided us with resources to setup our Solr Cloud instance for WALK and Archives Unleashed. We were able to get things setup relatively quickly thanks to a bit of preparation and practice on our local machines in the previous weeks. Once everything was setup (5 virtual machines total; 4 Solr Cloud nodes and one indexer – details below), we started benchmarking webarchive-discovery and our Solr Cloud setup with GNU Parallel.
What if you have a few terabytes of web archive data setting around, and wanted to shine a little light into them? Well, the good news is that now you can! The British Library’s UK Web Archive initiative has created some great software over the last couple years to allow you to index your web archive content into Solr, and provide access to it in a discovery interface called Shine. You can check Shine out in action here (for the British Library’s collections) or here (for our Canadian politics one).
by Ian Milligan, Jimmy Lin, and Nick Ruest We were delighted to be able to announce a few months ago that our project team at the University of Waterloo and York University were awarded a grant from the Andrew W. Mellon Foundation to make petabytes of historical internet content accessible to scholars and others interested in researching the recent past. Since that announcement, we’ve been busy at work at a few different things: modernizing and updating our Warcbase web archiving analytics platform, working on a discovery interface and underlying infrastructure, and laying the administrative groundwork for the project itself.
List of bots I run, divided up by type.
Tweets to Donald Trump (@realDonaldTrump) 59,261,490 tweet ids for tweets directed at Donald Trump (@realDonaldTrump), collected with Documenting the Now’s twarc. Tweets can be “rehydrated” with Documenting the Now’s twarc, or Hydrator. twarc hydrate to_realdonaldtrump_ids.txt to_donaltrump.jsonl. Tweets from May 7, 2017 - June 21, 2017 of the dataset used a combination of the Filter (Streaming) API and Search API. The Filter API failed on June 21, 2017. From June 23, 2017 forward only the Search API was used to collect.
Overview A couple Saturday mornings ago, I was on the couch listening to records and reading a book when Christina Harlow and MJ Suhonos asked me about collecting #WomensMarch tweets. Little did I know at the time #WomensMarch would be the largest volume collection I have ever seen. By the time I stopped collecting a week later, we’d amassed 14,478,518 unique tweet ids from 3,582,495 unique users, and at one point hit around 1 million tweets in a single hour.
Background Last August, I began capturing the #elxn42 hashtag as an experiment, and potential research project with Ian Milligan. Once Justin Trudeau was sworn in as the 23rd Prime Minister of Canada, we stopped collection, and began analysing the dataset. We wrote that analysis up for the Code4Lib Journal, which will be published in the next couple weeks. In the interim, you can check out our pre-print here. Included in that dataset is a line-deliminted list of a url to every embedded image tweeted in the dataset; 1,203,867 images.
On November 13, 2015 I was at the “Web Archives 2015: Capture, Curate, Analyze” listening to Ian Milligan give the closing keynote when Thomas Padilla tweeted the following to me: @ruebot terrible news, possible charlie hebdo connection - https://t.co/SkEusgqgz5 — Thomas Padilla (@thomasgpadilla) November 13, 2015 I immediately started collecting. When tragedies like this happen, I feel pretty powerless. But, I figure if I can collect something like this, similar to what I did for the Charlie Hebdo attacks, it’s something.
#JeSuisCharlie #JeSuisAhmed #JeSuisJuif #CharlieHebdo I’ve spent the better part of a month collecting tweets from the #JeSuisCharlie, #JeSuisAhmed, #JeSuisJuif, and #CharlieHebdo tweets. Last week, I pulled together all of the collection files, did some clean up, and some more analysis on the data set (76G of json!). This time I was able to take advantage of Peter Binkley’s twarc-report project. According to the report, the earliest tweet in the data set is from 2015-01-07 11:59:12 UTC, and the last tweet in the data set is from 2015-01-28 18:15:35 UTC.