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Volume 18, Issue 3August 2024Current Issue
Bibliometrics
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research-article
Open Access
Exif2Vec: A Framework to Ascertain Untrustworthy Crowdsourced Images Using Metadata
Article No.: 31, Pages 1–27https://doi.org/10.1145/3645094

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’...

research-article
Fuzzy Influence Maximization in Social Networks
Article No.: 32, Pages 1–28https://doi.org/10.1145/3650179

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 ...

research-article
Open Access
Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web?
Article No.: 33, Pages 1–24https://doi.org/10.1145/3649468

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 ...

research-article
Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation
Article No.: 34, Pages 1–33https://doi.org/10.1145/3649886

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. ...

research-article
MuLX-QA: Classifying Multi-Labels and Extracting Rationale Spans in Social Media Posts
Article No.: 35, Pages 1–26https://doi.org/10.1145/3653303

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 ...

research-article
Validation of an Improved Vision-Based Web Page Parsing Pipeline
Article No.: 36, Pages 1–23https://doi.org/10.1145/3580519

In this article, we present a novel approach to quantitative evaluation of a model for parsing web pages as visual images, intended to provide improvements for users with assistive needs (cognitive or visual deficits, enabling decluttering or zooming and ...

research-article
Open Access
Know their Customers: An Empirical Study of Online Account Enumeration Attacks
Article No.: 37, Pages 1–36https://doi.org/10.1145/3664201

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 ...

research-article
Open Access
Learning Dynamic Multimodal Network Slot Concepts from the Web for Forecasting Environmental, Social and Governance Ratings
Article No.: 38, Pages 1–32https://doi.org/10.1145/3663674

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 ...

research-article
Open Access
Re-Identification Attacks against the Topics API
Article No.: 39, Pages 1–24https://doi.org/10.1145/3675400

Recently, Google proposed the Topics API framework as a privacy-friendly alternative for behavioural advertising as a possible solution to balance user’s privacy and advertisement effectiveness. Using the Topics API, the browser builds a user profile ...

research-article
Open Access
INCEPT: A Framework for Duplicate Posts Classification with Combined Text Representations
Article No.: 40, Pages 1–24https://doi.org/10.1145/3677322

Dealing with many of the problems related to the quality of textual content online involves identifying similar content. Algorithmic solutions for duplicate content classification typically rely on text vector representation, which maps textual ...

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