Here is an example describing the use of TwitterTrails for investigating a story about Plane in the Sea Near Canary Islands:https://blogs.wellesley.edu/twittertrails/2014/09/17/plane-in-the-sea-near-canary-islands/
Your task: use TwitterTrails to investigate a story and answer the questions below.
Tweets are plotted on x-axis of the graph based on the time they were posted, and on the y-axis by the number of retweets they have received (at the time of data collection).
Color (if other than the default gray) = similarity in wording used; tweets with nearly identical texts will have points that are the same colorSize = logarithmic of potential to be viewed (number of followers)Blue border = tweets written by verified accounts
Clicking on "Manage Series" on the bottom right of the display will open a panel which you can use to add new time series to the graph by checking the box on the left. The Search function takes a search term in the text box, and will display all tweets contain (the exact) search term when you check the box on the left of Search.
Selecting a point on the graph will display the tweets from that series in that ten minute time span to the right of the graph. These tweets are sorted by the number of retweets they have received (highest on top), and can be re-sorted using the drop down menus. If there are more than 50 tweets in the time span, links to navigate the tweets 50 at a time are provided.
Hovering over a point will display the name of the user it represents, and clicking on it will bring up information about the user on the right of the graph. The user information also contains the tweets written/retweeted by that user in the dataset..
Focus on the major groups (the ones that have significantly more nodes than the rest). Explore this graph and click on the keywords from each major group to investigate further.
- Colors correspond to groups- Only one group = echo chamber- Well-separated groups = polarization