activity
20182023
most cited"How over is it?" Understanding the Incel Community on YouTube

75 citations · 103 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CR2023

From HODL to MOON: Understanding Community Evolution, Emotional Dynamics, and Price Interplay in the Cryptocurrency Ecosystem

Kostantinos Papadamou, Jay Patel, Jeremy Blackburn +2

This paper presents a large-scale analysis of the cryptocurrency community on Reddit, shedding light on the intricate relationship between the evolution of their activity, emotiona…

cs.SI2023

TUBERAIDER: Attributing Coordinated Hate Attacks on YouTube Videos to their Source Communities

Mohammad Hammas Saeed, Kostantinos Papadamou, Jeremy Blackburn +2

Alas, coordinated hate attacks, or raids, are becoming increasingly common online. In a nutshell, these are perpetrated by a group of aggressors who organize and coordinate operati…

cs.CY2021★ 1 cited

Characterizing Abhorrent, Misinformative, and Mistargeted Content on YouTube

Kostantinos Papadamou

YouTube has revolutionized the way people discover and consume video. Although YouTube facilitates easy access to hundreds of well-produced and trustworthy videos, abhorrent, misin…

cs.CY2020★ 2 cited

"It is just a flu": Assessing the Effect of Watch History on YouTube's Pseudoscientific Video Recommendations

Kostantinos Papadamou, Savvas Zannettou, Jeremy Blackburn +3

The role played by YouTube's recommendation algorithm in unwittingly promoting misinformation and conspiracy theories is not entirely understood. Yet, this can have dire real-world…

cs.CY2020★ 75 cited

"How over is it?" Understanding the Incel Community on YouTube

Kostantinos Papadamou, Savvas Zannettou, Jeremy Blackburn +3

YouTube is by far the largest host of user-generated video content worldwide. Alas, the platform has also come under fire for hosting inappropriate, toxic, and hateful content. One…

cs.CL2019

A Self-Attentive Emotion Recognition Network

Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis +2

Modern deep learning approaches have achieved groundbreaking performance in modeling and classifying sequential data. Specifically, attention networks constitute the state-of-the-a…

cs.SI2019★ 2 cited

Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children

Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou +5

A large number of the most-subscribed YouTube channels target children of a very young age. Hundreds of toddler-oriented channels on YouTube feature inoffensive, well-produced, and…

cs.CR2018★ 23 cited

Killing the Password and Preserving Privacy with Device-Centric and Attribute-based Authentication

Kostantinos Papadamou, Savvas Zannettou, Bogdan Chifor +9

Current authentication methods on the Web have serious weaknesses. First, services heavily rely on the traditional password paradigm, which diminishes the end-users' security and u…