activity
20222026
most citedCredible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking

13 citations · 23 across the 12 of their papers we have counts for

collaborators

12 papers

cs.MM2026

Evidence Triangulation for Multimodal Fact-Checking in the Wild

Stefanos-Iordanis Papadopoulos, Zacharias Chrysidis, Christos Koutlis +2

The proliferation of multimedia content on social platforms has fueled multimodal misinformation, where images are used to reinforce false claims. Consequently, Multimodal Fact-Che…

cs.CR2026

The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation

Zacharias Chrysidis, Stefanos-Iordanis Papadopoulos, Symeon Papadopoulos

As generative AI advances, the distinction between authentic and synthetic media is increasingly blurred, challenging the integrity of online information. In this study, we present…

cs.CV2025

"Humor, Art, or Misinformation?": A Multimodal Dataset for Intent-Aware Synthetic Image Detection

Anastasios Skoularikis, Stefanos-Iordanis Papadopoulos, Symeon Papadopoulos +1

Recent advances in multimodal AI have enabled progress in detecting synthetic and out-of-context content. However, existing efforts largely overlook the intent behind AI-generated…

cs.CV2025

Latent Reconstruction from Generated Data for Multimodal Misinformation Detection

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

Multimodal misinformation, such as miscaptioned images, where captions misrepresent an image's origin, context, or meaning, poses a growing challenge in the digital age. Due to the…

cs.CV2024★ 1 cited

Similarity over Factuality: Are we making progress on multimodal out-of-context misinformation detection?

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

Out-of-context (OOC) misinformation poses a significant challenge in multimodal fact-checking, where images are paired with texts that misrepresent their original context to suppor…

cs.CL2024★ 13 cited

Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking

Zacharias Chrysidis, Stefanos-Iordanis Papadopoulos, Symeon Papadopoulos +1

Automated fact-checking (AFC) is garnering increasing attention by researchers aiming to help fact-checkers combat the increasing spread of misinformation online. While many existi…

cs.MM2023★ 3 cited

RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

Online misinformation is often multimodal in nature, i.e., it is caused by misleading associations between texts and accompanying images. To support the fact-checking process, rese…

cs.CV2023★ 4 cited

VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

Multimedia content has become ubiquitous on social media platforms, leading to the rise of multimodal misinformation (MM) and the urgent need for effective strategies to detect and…

cs.MM2023

Synthetic Misinformers: Generating and Combating Multimodal Misinformation

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

With the expansion of social media and the increasing dissemination of multimedia content, the spread of misinformation has become a major concern. This necessitates effective stra…

cs.CV2022

Design-time Fashion Popularity Forecasting in VR Environments

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Anastasios Papazoglou-Chalikias +2

Being able to forecast the popularity of new garment designs is very important in an industry as fast paced as fashion, both in terms of profitability and reducing the problem of u…

cs.CV2022★ 1 cited

VICTOR: Visual Incompatibility Detection with Transformers and Fashion-specific contrastive pre-training

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

For fashion outfits to be considered aesthetically pleasing, the garments that constitute them need to be compatible in terms of visual aspects, such as style, category and color.…

cs.CV2022★ 1 cited

Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products

Stefanos I. Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

Estimating the preferences of consumers is of utmost importance for the fashion industry as appropriately leveraging this information can be beneficial in terms of profit. Trend de…