Exif2Vec: A Framework to Ascertain Untrustworthy Crowdsourced Images Using Metadata
In the context of social media, the integrity of images is often dubious. To tackle this challenge, we introduce Exif2Vec, a novel framework specifically designed to discover modifications in social media images. The proposed framework leverages an image’...
Fuzzy Influence Maximization in Social Networks
Influence maximization is a fundamental problem in social network analysis. This problem refers to the identification of a set of influential users as initial spreaders to maximize the spread of a message in a network. When such a message is spread, some ...
Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web?
We observe a recent trend toward applying large language models (LLMs) in search and positioning them as effective information access systems. While the interfaces may look appealing and the apparent breadth of applicability is exciting, we are concerned ...
Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation
The emergence of online media has facilitated the dissemination of news, but has also introduced the problem of information overload. To address this issue, providing users with accurate and diverse news recommendations has become increasingly important. ...
MuLX-QA: Classifying Multi-Labels and Extracting Rationale Spans in Social Media Posts
While social media platforms play an important role in our daily lives in obtaining the latest news and trends from across the globe, they are known to be prone to widespread proliferation of harmful information in different forms leading to ...
Know their Customers: An Empirical Study of Online Account Enumeration Attacks
- Maël Maceiras,
- Kavous Salehzadeh Niksirat,
- Gaël Bernard,
- Benoit Garbinato,
- Mauro Cherubini,
- Mathias Humbert,
- Kévin Huguenin
Internet users possess accounts on dozens of online services where they are often identified by one of their e-mail addresses. They often use the same address on multiple services and for communicating with their contacts. In this paper, we investigate ...
Learning Dynamic Multimodal Network Slot Concepts from the Web for Forecasting Environmental, Social and Governance Ratings
Dynamic multimodal networks are networks with node attributes from different modalities where the attributes and network relationships evolve across time, i.e., both networks and multimodal attributes are dynamic; for example, dynamic relationship ...