Descriptive Statistics

The distribution of sex offender dismissals over time shows that November 2017 sees the largest number of dismissals from previous positions, only one month after the first dismissal of Harvey Weinstein. This data also shows the time-effectiveness of #MeToo - its effect is immediate and explosive. Therefore, it is important to understand what is the long term effect of these dismissals in further study.

The distribution for the number of edits each day has a spike around late November, corresponding to the spike we see in the number of dismissals in Set 1.

This graph visually displays how many edits each person receives. The most edited are Harvey Weinstein, Al Franken, Kevin Spacey, and Matt Lauer. It would be interesting to see how edits changed for these high profile individuals over a longer time frame.

This is the most interesting graph. Each big box shows the total number of edits made by one editor. Each small box within shows the number of edits on one offender by the particular editor. We can see that there are two types of editors – one kind heavily edits the Wikipedia page of one person, the other cross edit multiple pages. It would be interesting to see the timing and content for each editor. The hypothesis is that the cross-editors are probably the ones who posted after MeToo and edited contents related with sexual misconduct.