Search Results for author: Michael Sirivianos

Found 8 papers, 4 papers with code

Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models

1 code implementation22 Jul 2023 Christos Christodoulou, Nikos Salamanos, Pantelitsa Leonidou, Michail Papadakis, Michael Sirivianos

We apply the trained models to three datasets: (a) YouTube Vaccine-misinformation related videos, (b) YouTube Pseudoscience videos, and (c) Fake-News dataset (a collection of articles).

Few-Shot Learning Misinformation +6

Privacy-Preserving Online Content Moderation: A Federated Learning Use Case

no code implementations23 Sep 2022 Pantelitsa Leonidou, Nicolas Kourtellis, Nikos Salamanos, Michael Sirivianos

In this paper, we propose a privacy-preserving FL framework for online content moderation that incorporates Differential Privacy (DP).

Federated Learning Privacy Preserving

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

Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior

7 code implementations1 Feb 2018 Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, Nicolas Kourtellis

In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressive and cyberbullying behavior have been manifesting with increased frequency, and in many online social media platforms.

Social and Information Networks 68T06 K.4.2

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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