Robocalls: A Worldwide or US-only Problem? Analyzing Spam and Fraud in International Phone Calls

2026-06-30

AI Summary

This study addresses the challenges of combating automated robocalls, which are characterized by their transnational nature, multilingual content, and limited available data. Aggregating user-reported data from 65 countries across six continents, the authors construct the first publicly available multimodal international robocall dataset, comprising 8.7 million call records, 839 transcripts, and 677 audio recordings. Through large-scale data aggregation, multilingual text and speech analysis, and cross-regional behavioral mining, the research identifies 28 distinct robocall activity clusters and their coordinated attack patterns. Notably, the findings reveal that the United States experiences significantly higher victimization rates compared to other global regions, providing empirical evidence and critical data support for developing targeted countermeasures against robocall campaigns.

Abstract

Unsolicited automated phone calls (robocalls) are a serious threat: in the US alone, these calls resulted in reported losses of 1.1$ billion during 2025. Phishing and spoofing consistently rank among the most reported crimes within the FBI's Internet Crime Complaint Center, with phone call scams having the highest reported median loss. Combating robocalls is difficult due to many legal and practical constraints: robocalls often encompass multiple legal jurisdictions of different countries/states, the large volume of robocalls, their multilingual nature, the lack of publicly available data, privacy concerns with obtaining data, etc. We present a study of international robocalls, aggregating robocall reports from countries across all inhabited continents and contribute by providing new findings on international robocalls from 65 different countries. We also present the first publicly available multimodal and international robocall dataset: 8.7 million call detail records, 839 robocall transcripts from 28 identified robocall campaign clusters, and 677 robocall recordings. We describe our methodology for collecting robocall data over a 9-month period and provide a detailed analysis comparing robocalls in the US with those in other countries. Our analysis covers several aspects, including uncovering calling patterns, identifying co-targeting attacks, discovering common robocall campaigns, extracting callback numbers, analyzing linguistic differences among robocalls in the same language but different regions, and other insights. Our results indicate that although robocalls are an international problem, the severity of the threat is significantly higher in the US than in other countries. We provide steps for future research and suggest remedies to reduce the effectiveness of robocalls based on our analysis.

Problem

• robocalls
• international spam calls
• phone fraud
• caller spoofing
• cross-border telecommunication threats

Innovation

• international robocalls
• multimodal dataset
• cross-jurisdictional analysis
• robocall clustering
• call detail records