The Pushshift Reddit Dataset
- Jason Baumgartner, Savvas Zannettou, Brian Keegan, Megan Squire, J. Blackburn
- Computer ScienceInternational Conference on Web and Social Media
- 23 January 2020
The Pushshift Reddit dataset makes it possible for social media researchers to reduce time spent in the data collection, cleaning, and storage phases of their projects.
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior
- Antigoni-Maria Founta, Constantinos Djouvas, N. Kourtellis
- Computer ScienceInternational Conference on Web and Social Media
- 1 February 2018
An eight month study of the various forms of abusive behavior on Twitter, in a holistic fashion, and proposes an incremental and iterative methodology that leverages the power of crowdsourcing to annotate a large collection of tweets with a set of abuse-related labels.
Mean Birds: Detecting Aggression and Bullying on Twitter
- Despoina Chatzakou, N. Kourtellis, J. Blackburn, Emiliano De Cristofaro, G. Stringhini, A. Vakali
- Computer ScienceWeb Science Conference
- 22 February 2017
It is found that bullies post less, participate in fewer online communities, and are less popular than normal users, while Aggressors are relatively popular and tend to include more negativity in their posts.
Multi-Context TLS (mcTLS): Enabling Secure In-Network Functionality in TLS
- David Naylor, Kyle Schomp, P. Steenkiste
- Computer ScienceComputer communication review
- 17 August 2015
This paper introduces multi-context TLS (mcTLS), which extends TLS to support middleboxes and breaks the current "all-or-nothing" security model by allowing endpoints and content providers to explicitly introduce middleboxes in secure end-to-end sessions while controlling which parts of the data they can read or write.
What is Gab: A Bastion of Free Speech or an Alt-Right Echo Chamber
- Savvas Zannettou, B. Bradlyn, J. Blackburn
- Computer ScienceThe Web Conference
- 14 February 2018
Gab is predominantly used for the dissemination and discussion of news and world events, and that it attracts alt-right users, conspiracy theorists, and other trolls, and the prevalence of hate speech is found to be much higher than Twitter, but lower than 4chan's Politically Incorrect board.
On the Origins of Memes by Means of Fringe Web Communities
- Savvas Zannettou, T. Caulfield, Guillermo Suarez-Tangil
- Computer ScienceACM/SIGCOMM Internet Measurement Conference
- 31 May 2018
This paper detects and measure the propagation of memes across multiple Web communities, using a processing pipeline based on perceptual hashing and clustering techniques, and a dataset of 160M images from 2.6B posts gathered from Twitter, Reddit, 4chan's Politically Incorrect board, and Gab, over the course of 13 months.
A Unified Deep Learning Architecture for Abuse Detection
- Antigoni-Maria Founta, Despoina Chatzakou, N. Kourtellis, J. Blackburn, A. Vakali, I. Leontiadis
- Computer ScienceWeb Science Conference
- 1 February 2018
A deep learning architecture is proposed, which utilizes a wide variety of available metadata, and combines it with automatically-extracted hidden patterns within the text of the tweets, to detect multiple abusive behavioral norms which are highly inter-related.
Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and Its Effects on the Web
- G. Hine, J. Onaolapo, J. Blackburn
- Computer ScienceInternational Conference on Web and Social Media
- 11 October 2016
Overall, this analysis provides the first measurement study of /pol/, but also insight into online harassment and hate speech trends in social media.
Is the Web HTTP/2 Yet?
- Matteo Varvello, Kyle Schomp, David Naylor, J. Blackburn, A. Finamore, K. Papagiannaki
- Computer SciencePassive and Active Network Measurement Conference
- 31 March 2016
It is found that 80 % of websites supporting HTTP/2 experience a decrease in page load time compared with HTTP/1.1 and the decrease grows in mobile networks, and current web development practices like inlining and domain sharding are still present.
Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web
- Savvas Zannettou, T. Caulfield, Emiliano De Cristofaro, Michael Sirivianos, G. Stringhini, J. Blackburn
- Computer ScienceThe Web Conference
- 28 January 2018
Russian trolls managed to stay active for long periods of time and to reach a substantial number of Twitter users with their tweets, but their effect on social platforms was minor, with the significant exception of news published by the Russian state-sponsored news outlet RT.
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