- We are making publicly available VoterFraud2020, a multi-modal Twitter dataset with 7.6M tweets and 25.6M retweets from 2.6M users that includes key phrases and hashtags related to voter fraud claims between October 23rd and December 16th. The dataset also includes the full set of links and YouTube videos shared in these tweets, with data about their spread in different Twitter sub-communities. Key takeaways from our initial analysis of the data are listed below.
- The methodology for our data collection including the tracked keywords is detailed in the paper, “VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter”, available from arXiv.
- Continuing with Diversity injection – done!
- 2:00 Meeting with Michelle
- Found another post on solving ballistics, with worked examples:
- Going to try this with numpy.roots, which work exactly the way you would want them to do.
- One shortcut did occur to me. I just need to determine when velocity is zero and use 2t to figure out what the range will be. I can then use that knowledge to place the source.
- A little too cooked to work through the example
- Priyank’s task
- Install Ecco and try the intro (here in the video, also ranked choices, and token probability) locally, then message him to see if he’d like to discuss maps
- Need to put together the embedding files. It’s working! I need to clean the text and play with queries – done!
- 3:30 Meeting – nope, it was yesterday
- Add Ecco to presentation list – done