TY - GEN
T1 - Raiders of the lost kek
T2 - 14th International AAAI Conference on Web and Social Media, ICWSM 2020
AU - Papasavva, Antonis
AU - Zannettou, Savvas
AU - De Cristofaro, Emiliano
AU - Stringhini, Gianluca
AU - Blackburn, Jeremy
N1 - Publisher Copyright: Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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 greaterWeb. 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.
AB - 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 greaterWeb. 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.
UR - https://www.scopus.com/pages/publications/85091021769
M3 - Conference contribution
SN - 9781577358237
T3 - Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020
SP - 885
EP - 894
BT - Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020
PB - AAAI press
Y2 - 8 June 2019 through 11 June 2019
ER -