Content

This dataset includes scraped, unfiltered youtube data from the live chat of the YouTube Channel "Law&Crime" over a period of several weeks (April-May 2022). There are a total of 2.1 million messages in the entire data set.

Table structure: (messages, all_authors, timestamps, money donated)

NOTICE: The data set does NOT include Trial days 9, 11, 13, 14 yet

Timestamps like -8:42 refer to comments that were written in the "waiting room" before the live stream started. So whenever a youtube live stream starts you can make a counter when you start broadcasting, before that people are allowed to write comments.

If a user didn't donate there is a 0 in the column "money". The donated amounts are NOT converted into dollar, so expect to see all sorts of currencies.

Acknowledgements

This dataset was collected using the python library Pytchat... https://pypi.org/project/pytchat/

Inspiration

Possible uses for this dataset could include:

Tracking sentiment of the users Analyzing the frequency of certain words See how much money the YouTube channel was given Because there are timestamps you can analyze certain sections How many users tuned in over the time

All the YouTube IDs

https://www.youtube.com/watch?v=YOUTUBE_ID_HERE

4hzL1ETjrOk g1M9RTuuvFw 76zbzPnnYcI FwmUXxHCS6U nFohMXWKJNM

-NrVzybzr8I 1loamyPv9aA JSo4UZILOqs jnyX3wb_EoM 6B0rlq-TZcg

DAY 11 TpA2wkSjcW0 ETCkYAh1my8 Az_KJBowdX4 amS6S_QLHzo

pg5QXdjTpX4 QT0MRSJ33EA fLhLoWICOA8 I1QViH5oja0 P5ZlzY5C_jg

0srVchY9Z4A OuZDNakM7QU QlTNO3UgAs8 vjCWuESRvN8