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Illicit drug trade via social media sites, especially photo-oriented Instagram, has become a severe problem in recent years. As a result, tracking drug dealing and abuse on Instagram is of interest to law enforcement agencies and public…

Social and Information Networks · Computer Science 2016-05-26 Xitong Yang , Jiebo Luo

Illicit drug trafficking via social media sites such as Instagram has become a severe problem, thus drawing a great deal of attention from law enforcement and public health agencies. How to identify illicit drug dealers from social media…

Machine Learning · Computer Science 2021-08-24 Chuanbo Hu , Minglei Yin , Bin Liu , Xin Li , Yanfang Ye

Social media platforms such as Instagram and Twitter have emerged as critical channels for drug marketing and illegal sale. Detecting and labeling online illicit drug trafficking activities becomes important in addressing this issue.…

Computation and Language · Computer Science 2023-07-10 Chuanbo Hu , Bin Liu , Xin Li , Yanfang Ye

The mining of adverse drug events (ADEs) is pivotal in pharmacovigilance, enhancing patient safety by identifying potential risks associated with medications, facilitating early detection of adverse events, and guiding regulatory…

Artificial Intelligence · Computer Science 2024-10-04 Pranab Sahoo , Ayush Kumar Singh , Sriparna Saha , Aman Chadha , Samrat Mondal

Social media platforms now serve billions of users by providing convenient means of communication, content sharing and even payment between different users. Due to such convenient and anarchic nature, they have also been used rampantly to…

Machine Learning · Computer Science 2020-07-28 Lelin Zhang , Xi Nan , Eva Huang , Sidong Liu

As the market for illicit drugs remains extremely profitable, major online platforms have become direct-to-consumer intermediaries for illicit drug trafficking participants. These online activities raise significant social concerns that…

Machine Learning · Computer Science 2025-03-05 Tianyi Ma , Yiyue Qian , Zehong Wang , Zheyuan Zhang , Chuxu Zhang , Yanfang Ye

Influencer marketing involves a wide range of strategies in which brands collaborate with popular content creators (i.e., influencers) to leverage their reach, trust, and impact on their audience to promote and endorse products or services.…

Computation and Language · Computer Science 2023-09-07 Danae Sánchez Villegas , Catalina Goanta , Nikolaos Aletras

Illegal marketplaces have increasingly shifted to concealed parts of the internet, including the deep and dark web, as well as platforms such as Telegram, Reddit, and Pastebin. These channels enable the anonymous trade of illicit goods…

Digital advertising increasingly relies on visual content, yet marketers lack rigorous methods for understanding how specific visual attributes causally affect consumer engagement. This paper addresses a fundamental methodological…

Artificial Intelligence · Computer Science 2026-03-04 Yizhi Liu , Balaji Padmanabhan , Siva Viswanathan

Toxicity detection in multimodal text-image content faces growing challenges, especially with multimodal implicit toxicity, where each modality appears benign on its own but conveys hazard when combined. Multimodal implicit toxicity appears…

Multimedia · Computer Science 2025-05-21 Shiyao Cui , Qinglin Zhang , Xuan Ouyang , Renmiao Chen , Zhexin Zhang , Yida Lu , Hongning Wang , Han Qiu , Minlie Huang

Illicit online pharmacies allow the purchase of prescription drugs online without a prescription. Such pharmacies leverage social media platforms such as Twit- ter as a promotion and marketing tool with the intent of reaching out to a…

Computers and Society · Computer Science 2017-12-05 Janani Kalyanam , Timothy Mackey

Multimodal news contains a wealth of information and is easily affected by deepfake modeling attacks. To combat the latest image and text generation methods, we present a new Multimodal Fake News Detection dataset (MFND) containing 11…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Ye Zhu , Yunan Wang , Zitong Yu

Much recent research aims to identify evidence for Drug-Drug Interactions (DDI) and Adverse Drug reactions (ADR) from the biomedical scientific literature. In addition to this "Bibliome", the universe of social media provides a very…

Social and Information Networks · Computer Science 2016-01-15 Rion Brattig Correia , Lang Li , Luis M. Rocha

The U.S. Food & Drug Administration (FDA) requires that e-cigarette advertisements include a prominent warning label that reminds consumers that nicotine is addictive. However, the high volume of vaping-related posts on social media makes…

Social and Information Networks · Computer Science 2021-02-10 Chris J. Kennedy , Julia Vassey , Ho-Chun Herbert Chang , Jennifer B. Unger , Emilio Ferrara

Cyberbullying is a growing problem affecting more than half of all American teens. The main goal of this paper is to investigate fundamentally new approaches to understand and automatically detect incidents of cyberbullying over images in…

Social and Information Networks · Computer Science 2015-03-16 Homa Hosseinmardi , Sabrina Arredondo Mattson , Rahat Ibn Rafiq , Richard Han , Qin Lv , Shivakant Mishra

The progress and integration of intelligent transport systems (ITS) have therefore been central to creating safer and more efficient transport networks. The Internet of Vehicles (IoV) has the potential to improve road safety and provide…

Signal Processing · Electrical Eng. & Systems 2025-01-28 Mohamed Ababsa , Soheyb Ribouh , Abdelhamid Malki , Lyes Khoukhi

This work aims at expanding previous works done in the context of illegal activities classification, performing three different steps. First, we created a heterogeneous dataset of 113995 onion sites and dark marketplaces. Then, we compared…

Information Retrieval · Computer Science 2023-12-11 Giuseppe Cascavilla , Gemma Catolino , Mirella Sangiovanni

The rapid growth of social media has resulted in an explosion of online news content, leading to a significant increase in the spread of misleading or false information. While machine learning techniques have been widely applied to detect…

Computation and Language · Computer Science 2024-12-10 Hao Chen , Hui Guo , Baochen Hu , Shu Hu , Jinrong Hu , Siwei Lyu , Xi Wu , Xin Wang

According to NSDUH (National Survey on Drug Use and Health), 20 million Americans consumed drugs in the past few 30 days. Combating illicit drug use is of great interest to public health and law enforcement agencies. Despite of the…

Social and Information Networks · Computer Science 2016-11-28 Yiheng Zhou , Numair Sani , Jiebo Luo

Illicit online promotion is a persistent threat that evolves to evade detection. Existing moderation systems remain tethered to platform-specific supervision and static taxonomies, a reactive paradigm that struggles to generalize across…

Cryptography and Security · Computer Science 2026-03-31 Sangyi Wu , Junpu Guo , Xianghang Mi
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