---
title: "Investment scams on social media (research idea)"
description: "Financial fraud appears on 48 recent papers, but most study fraud by firms or fraud detection in transactions; only 6 carry a social-media, crypto, elderly or victim keyword, and \"fraud victimization\" on 5. Investment scams run through social platforms now cost households billions. Who falls for them, and what stops them?"
url: https://scholar4ai.com/ideas/investment-scams-on-social-media
markdown_url: https://scholar4ai.com/ideas/investment-scams-on-social-media.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
date: "2026-10-23"
updated: "2026-10-23"
status: "seed"
tags: ["finance", "households", "security"]
keywords: ["financial fraud", "fraud victimization", "investor protection"]
---

# Investment scams on social media

Financial fraud appears on 48 recent papers, but most study fraud by firms or fraud detection in transactions; only 6 carry a social-media, crypto, elderly or victim keyword, and "fraud victimization" on 5. Investment scams run through social platforms now cost households billions. Who falls for them, and what stops them?

## What prompted this

Since October 2025, 48 papers carry a scam, investment-fraud, financial-fraud, Ponzi or fraud-victim keyword (18 in finance journals, 16 in AI); "financial fraud" appears on 22 and "fraud victimization" on 5. Only 6 of the 48 also carry a social-media, crypto, elderly, older-adult, romance or victim keyword. "Investor protection" appears on 49 papers, mostly about securities law.

## Questions

- Which households lose money to investment scams, and do the losses cluster among people with high financial literacy and confidence rather than low?
- Do warnings from regulators and platforms reduce losses, or do scams simply move?
- How much scam money flows through crypto exchanges, and does exchange compliance change the flow?

## Data that could help

Consumer complaint databases (for example the FTC Consumer Sentinel and FBI IC3 reports), bank transaction data with fraud flags, and platform takedown records.

## Next step

Analyse the complaint records of one regulator for 2020–2025 by age, scam type and channel, and relate losses to platform enforcement announcements.

## Related research activity

*The keywords this note follows, in the tracked finance, accounting, economics, management, operations research and AI journals as of 2026-10-26*

| Keyword | Papers, last 30 days | Rank | Papers per month, Oct 23 – Oct 26* | Papers, last 36 months |
|---|---:|---:|---|---:|
| financial fraud | 1 | #2881 | 0, 0, 0, 0, 0, 0, 1, 2, 0, 1, 1, 2, 0, 2, 1, 1, 2, 1, 0, 1, 0, 0, 0, 0, 2, 1, 4, 3, 3, 0, 3, 1, 1, 2, 0, 1, 1 | 36 |
| fraud victimization | 0 | – | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0 | 6 |
| investor protection | 2 | #1303 | 0, 0, 0, 0, 0, 0, 6, 6, 6, 3, 4, 7, 3, 3, 4, 3, 5, 6, 6, 5, 1, 7, 2, 5, 3, 9, 1, 2, 3, 2, 5, 4, 6, 5, 4, 3, 2 | 129 |

## Cite this page

Scholar4AI. (2026). Investment scams on social media. Journal Research Rankings. Retrieved October 23, 2026, from https://scholar4ai.com/ideas/investment-scams-on-social-media

```bibtex
@misc{scholar4ai-ideas-investment-scams-on-social-media,
  author = {{Scholar4AI}},
  title = {Investment scams on social media},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/ideas/investment-scams-on-social-media}},
  urldate = {2026-10-23},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).