  This paper presents a dataset with over 3.3M threads and 134.5M posts from
the Politically Incorrect board (/pol/) of the imageboard forum 4chan, posted
over a period of almost 3.5 years (June 2016-November 2019). To the best of our
knowledge, this represents the largest publicly available 4chan dataset,
providing the community with an archive of posts that have been permanently
deleted from 4chan and are otherwise inaccessible. We augment the data with a
set of additional labels, including toxicity scores and the named entities
mentioned in each post. We also present a statistical analysis of the dataset,
providing an overview of what researchers interested in using it can expect, as
well as a simple content analysis, shedding light on the most prominent
discussion topics, the most popular entities mentioned, and the toxicity level
of each post. Overall, we are confident that our work will motivate and assist
researchers in studying and understanding 4chan, as well as its role on the
greater Web. For instance, we hope this dataset may be used for cross-platform
studies of social media, as well as being useful for other types of research
like natural language processing. Finally, our dataset can assist qualitative
work focusing on in-depth case studies of specific narratives, events, or
social theories.
