Connections and Patterns in the Muller Investigationwas developed by Fathom using a tool called Porfiry that deconstructs documents using algorithms and finalizes these results with custom curation tools. The documents are used as a collection of data points. The data extracted from court filings and news articles about the Muller’s investigation in the Trump-Russia connection to create chronological flows for each participant. It reveals connections between this data that would not have been obvious otherwise.
The data comes from the Muller Investigation court filings and any news articles from The New York Times. Custom tools were used to curate machine learning outputs from this data.
Each data point is where a person of interest is mentioned and the approximate date that the article references. This gives a timespan for all of the information rather than just the article publish dates.
As seen in the animation above, the plots are very dense with data.
The focus of the visualization is on highlighting connections between participants that would not have been obvious otherwise. Each data point can be selected which highlights connections with a line between participants referenced from the data point. The articles that reference these people can be seen which highlights the areas where their names are mentioned. The links to these articles are also attached and you can then select on them to read further.
Since the data comparisons are most obvious by the shapes rather than colors it is easy to see trends. The only color used is green the black and white is very easy to distinguish when trying to see what is or isn’t selected.
If you want to look deeper into the connections made by the Muller investigation and which people are connected and how
you can select the people of interest and see what articles connect them.
Someone’s name might not specifically be mentioned in an article however doesn’t mean they weren’t involved. You can search manually through and “find” and event but there’s no easy way to do this since its mapped by years it’s difficult to find the month and date of where it is. You are only able to see events that are predefined at the top. You also cannot see who else is connected if they are father down. You can't select more than one person to see their connections. For example if you wanted to see Putin's and Trump's connections you can't select on both.
All of their data comes from the New York Times and the Muller Reports. The NYT is highly factual and one of the most reliable sources in terms of news. However, since it is the only source other than the Muller reports things you want to see may not be in there. Additionally, adding the ability to search for certain events would be helpful when trying to find select pieces of information. On a regular screen you can’t see where the data points go which is not very user friendly since you have to scroll down.
Author: Casey Charlesworth
Class: CS424 - Data Visualization