1,720,984 research outputs found
Riverside Plane Crash
No full textOn Monday, February 27th, 2017, a small plane crashed into several residential homes in Riverside, CA killing three people and injuring several others. This is a set of tweets collected on Wednesday, March 1st, 2017 using the keywords "Riverside Plane Crash".This is a set of tweet ids only. In order to re-create the original tweets please download the DocNow Hydrator application and run the tweet ids through it. https://github.com/DocNow/hydratorThe dataset was collected using the DocNow prototype social media collection tool. http://app.docnow.io
Surviving R Kelly
No full text<p>This tweet identifier dataset was collected from the Twitter streaming and search APIs to collect tweets containing the phrase "R Kelly" or the hashtag "#SurvivingRKelly" between December 25, 2018 and January 4, 2019. This partially covers the time period in which the 6 part Lifetime documentary Surviving R Kelly was released (January 3 to January 5). It includes 1,431,655. The documentary had an estimated 1.9 million viewers.</p><p>The tweet ids can be recreated (rehydrated) back into tweet by using the DocNow Hydrator App https://github.com/DocNow/hydrator</p>
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
DocNow Digital Blackness
No full textThis dataset includes 2,995 tweets collected using the keyword "BlackDigArchive" and 1,888 tweets collected using the hashtag "#BlackDigArchive".
The second Documenting the Now symposium, "Digital Blackness in the Archive", was held on December 11th and 12th, 2017 and addressed issues at the intersection of archival practice and the existence of Black people on the web and social media. Invited speakers discussed their work on the Black experience in online spaces including research on joy and creativity expressed by Black people on the web, cultural and social expression, activism and other acts of resistance, the Black experience with state sponsored online surveillance, and racism and bias in algorithm and social media platform design. The program was an opportunity for the general public, activists, archivists, library and museum professionals, and the academic community, to learn and share together in conversations about digital culture and digital archives that center blackness.Because of the restrictions in the Twitter terms of service, only tweet ids can be shared publicly. If you would like to turn the ids in this dataset back into the original tweets, you can use the DocNow Hyrator application.The tweet ids were collected using the DocNow prototype Twitter collecting tool
I Voted For Trump
No full textThe phrase "I Voted For Trump" began trending on Twitter on August, 17th, 2017. It includes tweets from supporters and opponents of President Donald Trump. This collection contains 140,000 tweet ids. The tweet ids were collected using the DocNow tweet collection prototype tool: http://app.docnow.io/ The tweet ids can be turned back into the original tweets using the DocNow tweet hydration tool: https://github.com/docnow/hydrator#readm
#twitterandnews
No full text<p>364 tweet ids and referenced urls collected from the #twitterandnews Twitter chat hosted by the Knight Foundation on Thursday, March 8th, 2018. </p><p>Use the DocNow Hydrator tool to turn the tweet ids back into the original tweets. Download and run DocNow Hydrator here: https://github.com/DocNow/hydrator</p>
#Blackwomanhood
No full text<p>The #blackwomanhood Twitter chat took place on May 10th, 2018. It was a discussion around the syllabus for the Black Womanhood course taught by Martha Jones and Jessica Marie Johnson at Johns Hopkins University. http://dh.jmjafrx.com/2018/01/27/black-womanhood-the-syllabus/ </p><p>Twitter only allows the sharing of large sets of tweet ids. You can download the DocNow Hydrator application to turn the ids back into the original tweets. When you do this you will not get back back any tweets that have been deleted, per Twitter policy. The Hydrator application can be found here: https://github.com/DocNow/hydrator </p>
#WOCAffirmation
No full textThis dataset includes 80,339 tweet ids collected on October 14th, 2017 that use the hashtag #WOCAffirmation. The hashtag was started by April Reign (@ReignOfApril) as a way to amplify voices of women of color and partly as a response to a Twitter boycott started in support of actress Rose McGowan, after she revealed that she was sexually assaulted by HarveyWeinstein. These tweets by April Reign show her calling for twitter user to use the hashtag:to https://twitter.com/ReignOfApril/status/918691938143834112, https://twitter.com/ReignOfApril/status/918695092587601920, https://twitter.com/ReignOfApril/status/918696352359391232,The dataset only includes tweet ids but those tweet ids can be turned back into the original tweets using the DocNow Hydrator tool here: https://github.com/DocNow/hydratorThis dataset was created using the Documenting the Now prototype twitter data collection tool found here: http://app.docnow.io
#DrawingWhileBlack
No full textThe hashtag #DrawingWhileBlack was started by artist, Annabelle, on September 15th, 2017 to celebrate the work of Black artists. The dataset includes 69,236 tweet ids collected 09/17/2017. Annabelle's website: http://sparklyfawn.tumblr.com/aboutme and Twitter profile: https://twitter.com/sparklyfawnIn order to recreate the original tweets from the ids, the user will have to upload the ids into the DocNow Hydrator application. The Hydrator can be downloaded here: https://github.com/docnow/hydrator#readmeThe tweet ids were collected using the Documenting the Now prototype twitter collecting tool: http://app.docnow.io
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