It might happen for users to delete their tweets on purpose or accidentally, and recovering the tweets becomes an issue. In the box to the right you will find a more detailed guide to accessing and using this collection.Since 2011 twitter has become the most popular short-text social media.Want to do more analysis? Wondering how to use the JSON?.Each line in the spreadsheet represents a tweet including metadata about the tweet such as number of retweets or a timestamp. After following the tutorial steps to install and use Hydrator, save a copy of the tweet data in a spreadsheet (.csv format).For step-by-step guidance on installing, configuring, and using Hydrator, check out this tutorial created by University of Virginia Libraries.Hydrator is a downloadable desktop app for hydrating Twitter ID datasets.You will need a Twitter account to use this tool."Hydrate" the Twitter ID dataset with Hydrator.Tweet identifier lists for the UNC-Chapel Hill Confederate Monument Protests Collected Tweets, 2017-2018.Download the dataset from the Digital Collections Repository (DCR).Access the collection by visiting the finding aid for the UNC-Chapel Hill Confederate Monument Protests Collected Tweets, 2017-2018 to learn more about how the collection was created and is organized.
Explore data analysis tools that can help you interpret the data.Work with the data in either JSON format or spreadsheet format.**Twarc was recently (April 2021) updated, but our guidance has not been updated just yet. If you are not affiliated with UNC, check with your local library to see if they offer any digital scholarship services. They may be able to provide additional guidance.
The UNC-Chapel Hill Libraries Research Hub provides a variety of digital scholarship services and trainings. We have highlighted a few options in this guide, but we encourage you to explore digital methods in your field of study and other opportunities to learn data analysis skills to get the most from this collection.
There are a variety of methods that can help with data analysis. Some manipulation of the data will be required for reading or interpreting tweet text easily. The tweet text and metadata about tweets will be available for data analysis. This means that the data in this collection will not have the look and feel of. Twitter hashtags in this collection were acquired as a datasets not as webpages.
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