This tutorial will show you how to import publicly available data from Twitter using Communalytic.
Communalytic can collect replies (and replies to replies) in response to a given tweet. Also, the current import function only supports collection of replies posted within the past week (7 days).
While many programs now support the collection of tweets, Communalytic allows the collection and analysis of conversations that unfold in response to a given tweet, such as the following tweet from Donald Trump that received over 20k replies.
To collect replies corresponding to a given tweet, you would need to locate and provide the tweet’s unique URL, and Communalytic will collect replies to this tweet and replies to those replies, as long as they are posted within the past seven days.
Once collected, you can represent and visualize replies as a communication network (as illustrated below). You will also be able to run a toxicity analysis to understand the overall tone of these replies.
Step 1: On Twitter, identify a popular tweet and URL you want to examine.
Step 2: After doing this, you’re ready to collect public replies to this tweet. In Communalytic, from the “Collect data” page, click on the “Thread” button under the X group to start data collection.
You must create a Twitter Developer’s account and generate a so-called “Bearer” access token to import data from X.
Step 3: Enter a name for your dataset and specify the URL of a tweet to collect replies to this tweet.
Once ready, click on the “Start Collection” button. To be notified when data collection is complete, click the “Email me once the data is collected” square.
Step 4: You should be able to see your new dataset listed on the “My Datasets” page. To check the progress of your data collection, refresh this page.
When your data import is complete, it will show the final number of tweets collected under “Number of Records“, as shown below.
Step 5: Once the dataset is ready, you can access and analyze it by clicking on the name of your dataset. To export your dataset as a CSV file, click the “Download” button under the “My Datasets” page.