Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/12651
Title: | Kek, cucks, and god emperor Trump: a measurement study of 4chan's politically incorrect forum and its effects on the web | Authors: | Hine, Gabriel Emile Onaolapo, Jeremiah O. De Cristofaro, Emiliano Kourtellis, Nicolas Leontiadis, Ilias Samaras, Riginos Stringhini, Gianluca Blackburn, Jeremy |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Discussion boards;Measurement study;Political events;Scientific community;Social media;Unique features;YouTube;Social networking (online) | Issue Date: | 15-May-2017 | Source: | 11th International Conference on Web and Social Media, 2017, Montreal, Canada, 15-18 May | Project: | EnhaNcing seCurity And privacy in the Social wEb: a user centered approach for the protection of minors | Abstract: | The discussion-board site 4chan has been part of the Internet's dark underbelly since its inception, and recent political events have put it increasingly in the spotlight. In particular, /pol/, the "Politically Incorrect" board, has been a central figure in the outlandish 2016 US election season, as it has often been linked to the alt-right movement and its rhetoric of hate and racism. However, 4chan remains relatively unstudied by the scientific community: little is known about its user base, the content it generates, and how it affects other parts of the Web. In this paper, we start addressing this gap by analyzing /pol/ along several axes, using a dataset of over 8M posts we collected over two and a half months. First, we perform a general characterization, showing that /pol/ users are well distributed around the world and that 4chan's unique features encourage fresh discussions. We also analyze content, finding, for instance, that YouTube links and hate speech are predominant on /pol/. Overall, our analysis not only provides the first measurement study of /pol/, but also insight into online harassment and hate speech trends in social media. | URI: | https://hdl.handle.net/20.500.14279/12651 | Rights: | © 2017, Association for the Advancement of Artificial Intelligence | Type: | Conference Papers | Affiliation : | Cyprus University of Technology Roma Tre University University College London Telefonica Research |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
File | Description | Size | Format | |
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1610.03452.pdf | Fulltext | 3.56 MB | Adobe PDF | View/Open |
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