Search Results for author: Savvas Zannettou

Found 18 papers, 7 papers with code

You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content

1 code implementation10 Aug 2023 Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang

We find that prompt learning achieves around 10\% improvement in the toxicity classification task compared to the baselines, while for the toxic span detection task we find better performance to the best baseline (0. 643 vs. 0. 640 in terms of $F_1$-score).

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

1 code implementation23 May 2023 Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang

Our evaluation result shows that 24% of the generated images using DreamBooth are hateful meme variants that present the features of the original hateful meme and the target individual/community; these generated images are comparable to hateful meme variants collected from the real world.

On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning

2 code implementations13 Dec 2022 Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou

The dissemination of hateful memes online has adverse effects on social media platforms and the real world.

Contrastive Learning

Feels Bad Man: Dissecting Automated Hateful Meme Detection Through the Lens of Facebook's Challenge

no code implementations17 Feb 2022 Catherine Jennifer, Fatemeh Tahmasbi, Jeremy Blackburn, Gianluca Stringhini, Savvas Zannettou, Emiliano De Cristofaro

Internet memes have become a dominant method of communication; at the same time, however, they are also increasingly being used to advocate extremism and foster derogatory beliefs.

The Gospel According to Q: Understanding the QAnon Conspiracy from the Perspective of Canonical Information

no code implementations21 Jan 2021 Max Aliapoulios, Antonis Papasavva, Cameron Ballard, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Jeremy Blackburn

By interpreting cryptic "drops" of information from an anonymous insider calling themself Q, adherents of the conspiracy theory believe that Donald Trump is leading them in an active fight against this cabal.

Computers and Society Social and Information Networks

"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twitter

1 code implementation18 Jan 2021 Savvas Zannettou

Soft moderation interventions refer to warning labels attached to potentially questionable or harmful content to inform other users about the content and its nature while the content remains accessible, hence alleviating concerns related to censorship and free speech.

Social and Information Networks Computers and Society

An Early Look at the Parler Online Social Network

no code implementations11 Jan 2021 Max Aliapoulios, Emmi Bevensee, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou

Parler is as an "alternative" social network promoting itself as a service that allows to "speak freely and express yourself openly, without fear of being deplatformed for your views."

Social and Information Networks Computers and Society Physics and Society

"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19

no code implementations8 Apr 2020 Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou

Finally, we find interesting differences in the context in which words related to Chinese people are used on the Web before and after the COVID-19 outbreak: on Twitter we observe a shift towards blaming China for the situation, while on /pol/ we find a shift towards using more (and new) Sinophobic slurs.

Word Embeddings Social and Information Networks Computers and Society

The Pushshift Reddit Dataset

1 code implementation23 Jan 2020 Jason Baumgartner, Savvas Zannettou, Brian Keegan, Megan Squire, Jeremy Blackburn

Pushshift is a social media data collection, analysis, and archiving platform that since 2015 has collected Reddit data and made it available to researchers.

Social and Information Networks Computers and Society

The Evolution of the Manosphere Across the Web

no code implementations21 Jan 2020 Manoel Horta Ribeiro, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Summer Long, Stephanie Greenberg, Savvas Zannettou

In this paper, we present a large-scale characterization of the Manosphere, a conglomerate of Web-based misogynist movements roughly focused on "men's issues," which has seen significant growth over the past years.

Computers and Society

A Quantitative Approach to Understanding Online Antisemitism

no code implementations5 Sep 2018 Joel Finkelstein, Savvas Zannettou, Barry Bradlyn, Jeremy Blackburn

Our open and scientifically grounded methods serve as a framework to augment current qualitative efforts by anti-hate groups, providing new insights into the growth and spread of antisemitism online.

Computers and Society Social and Information Networks

On the Origins of Memes by Means of Fringe Web Communities

2 code implementations31 May 2018 Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Guillermo Suarez-Tangil

In this paper, we detect 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 (/pol/), and Gab, over the course of 13 months.

Social and Information Networks Computers and Society

The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans

no code implementations10 Apr 2018 Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn, Nicolas Kourtellis

In this work, we pay particular attention to political false information as: 1) it can have dire consequences to the community (e. g., when election results are mutated) and 2) previous work show that this type of false information propagates faster and further when compared to other types of false information.

Social and Information Networks Computers and Society

Understanding Web Archiving Services and Their (Mis)Use on Social Media

no code implementations31 Jan 2018 Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini

Web archiving services play an increasingly important role in today's information ecosystem, by ensuring the continuing availability of information, or by deliberately caching content that might get deleted or removed.

Computers and Society Digital Libraries Social and Information Networks

Exploiting Path Diversity in Datacenters using MPTCP-aware SDN

1 code implementation30 Nov 2015 Savvas Zannettou, Michael Sirivianos, Fragkiskos Papadopoulos

Usually, MPTCP is combined with flow-based Equal-Cost Multi-Path Routing (ECMP), which uses random hashing to split the MPTCP subflows over different paths.

Networking and Internet Architecture C.2.1

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