54 citations · 57 across the 10 of their papers we have counts for
10 papers
LOKI: Proactively Discovering Online Scam Websites by Mining Toxic Search Queries
Pujan Paudel, Gianluca Stringhini
Online e-commerce scams, ranging from shopping scams to pet scams, globally cause millions of dollars in financial damage every year. In response, the security community has develo…
Revealing The Secret Power: How Algorithms Can Influence Content Visibility on Twitter/X
Alessandro Galeazzi, Pujan Paudel, Mauro Conti +2
In recent years, the opaque design and the limited public understanding of social networks' recommendation algorithms have raised concerns about potential manipulation of informati…
PIXELMOD: Improving Soft Moderation of Visual Misleading Information on Twitter
Pujan Paudel, Chen Ling, Jeremy Blackburn +1
Images are a powerful and immediate vehicle to carry misleading or outright false messages, yet identifying image-based misinformation at scale poses unique challenges. In this pap…
Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation
Pujan Paudel, Mohammad Hammas Saeed, Rebecca Auger +2
Automated soft moderation systems are unable to ascertain if a post supports or refutes a false claim, resulting in a large number of contextual false positives. This limits their…
Unraveling the Web of Disinformation: Exploring the Larger Context of State-Sponsored Influence Campaigns on Twitter
Mohammad Hammas Saeed, Shiza Ali, Pujan Paudel +2
Social media platforms offer unprecedented opportunities for connectivity and exchange of ideas; however, they also serve as fertile grounds for the dissemination of disinformation…
iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023
Jay Patel, Pujan Paudel, Emiliano De Cristofaro +2
Online web communities often face bans for violating platform policies, encouraging their migration to alternative platforms. This migration, however, can result in increased toxic…
LAMBRETTA: Learning to Rank for Twitter Soft Moderation
Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro +2
To curb the problem of false information, social media platforms like Twitter started adding warning labels to content discussing debunked narratives, with the goal of providing mo…
SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice
Mohit Singhal, Chen Ling, Pujan Paudel +4
Social media platforms have been establishing content moderation guidelines and employing various moderation policies to counter hate speech and misinformation. The goal of this pa…
Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communities
Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro +2
This paper presents a multi-platform computational pipeline geared to identify social media posts discussing (known) conspiracy theories. We use 189 conspiracy claims collected by…
An Early Look at the Gettr Social Network
Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro +2
This paper presents the first data-driven analysis of Gettr, a new social network platform launched by former US President Donald Trump's team. Among other things, we find that use…