Results 121 to 130 of about 1,434 (227)
A Transformer-Based Approach for Text Scam Detection with Synthetic Data Augmentation
As online communication becomes increasingly essential in everyday life, the risk of falling victim to digital scams has grown significantly. These scams are no longer limited to single deceptive messages; In reality, the number of digital scams is ...
Kuchi, Amulya, Sunkara, Mohan Mukund Sai
core +1 more source
Strategic Management Journal, Volume 47, Issue 7, Page 1840-1877, July 2026.Abstract Research Summary We extend ecosystem theory to cases in which platforms are complementors to each other: inter‐platform ecosystems. Analyzing web traffic data on 241 European platforms, we identify and characterize demand‐side inter‐platform ecosystems, and propose a theory of why they emerge.
Bruno Carballa‐Smichowski +3 more
wiley +1 more source
An Interpretable Multi-Signal Scam Detection System Using Machine Learning and Large Language Models
An Interpretable Multi-Signal Scam Detection System Using Machine Learning and Large Language ...
Vishwajeet shashikant adkine
core
Efficient Detection of Phishing Websites Using Multilayer Perceptron
, 2020 Phishing is a type of Internet fraud that aims to acquire the credential of users via scamming websites. In this paper, a novel approach is utilized that uses a Neural Network with a multilayer perceptron to detect the scam URL.
Abdelfattah, Eman +2 more
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Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2161-2174, July 2026.Abstract Passive acoustic recording is a cost‐effective method for monitoring vocal animals. Within this field, there is an increasing focus on automated detection algorithms for counting calls and estimating call density (in space and time). For accurate interpretation of such results, it is important to understand and correct biases introduced by ...
Brian S. Miller +7 more
wiley +1 more source
Avoiding Corporate Greenwashing? Sustainability Silence Narratives in the Agri‐Food Industry
Business Ethics, the Environment &Responsibility, Volume 35, Issue 3, Page 1361-1376, July 2026.ABSTRACT The aim of this article is to shed more light on the reasons underlying companies' under‐communication or lack of communication to stakeholders about sustainability achievements in the agri‐food sector. A qualitative study based on 34 semi‐structured interviews with respondents from this sector shows the predominance of a rationale of ...
Olivier Boiral +3 more
wiley +1 more source
Suspicious Call Detection and Mitigation Using Conversational AI
, 2023 Spam or scam calls and messages are an annoyance, pose security risks, and can harm users that fall prey to calls that request money transfer or other action.
Rao, Kolati Mallikarjuna +1 more
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Building centaur responders: is emergency management ready for artificial intelligence?
Disasters, Volume 50, Issue 3, July 2026.Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte +1 more
wiley +1 more source
As cryptocurrency transactions continue to grow, detecting scams within transaction records remains a critical challenge. These transactions can be represented as dynamic graphs, where Neural Network Convolution (NNConv) models are widely used for ...
Sang-Min Choi +2 more
core +1 more source
Enhancing Cyber Hygiene among Communities through Experiential Cyber-Security Awareness Programs
Journal of Cybersecurity Education, Research & PracticeHuman error remains the most frequently exploited vulnerability in the cyber-security ecosystem. Despite substantial investments in technical safeguards, cybercriminals increasingly rely on social engineering, misinformation, and emotionally manipulative
Dr Atul Bamrara +3 more
doaj +1 more source