Trump announces DOJ investigation into 500,000 *illegal* mail-in ballots sent out by the blue state of Maryland. Stop the fraud!
1,944,012 interactions across three posts
A public-interest AI system to combat public deception.
Swapneel Mehta & Dhara Mungra · Founders, SimPPL
A U.S. 501(c)(3) nonprofit · team@simppl.org · July 2026
The average person spends about two hours and twenty minutes a day on social media (DataReportal, 2025).
Accounts that look independent repeat baseless claims about elections, health, and policy until people start to doubt the facts. Fooled repeatedly, people devalue every signal.
Sources: Hoes et al., Nature Human Behaviour 2024 · Gallup, Sept 2025.
What happens
events, claims, campaigns
Platforms & feeds
where people read it
Journalists & fact-checkers
the check on what's real
Communities decide
on unchecked feeds
A listening tool reports the conversation after the fact. By then the accounts driving it are often suspended, renamed, or deleted.
Telling you what happened is too late. The keywords never change, so the finding arrives after the campaign has run.
Telling you as it happens enables response. Conversations rewrite the keywords, so the net widens while it is still running.

Fake online job ads lure workers into forced-labour scam compounds.

Anti-vaccine fear cut Samoa's vaccination rate below 30%; dozens of children died.

A coordinated TikTok operation got the election annulled; the evidence vanished.
What happens
events, claims, campaigns
Platforms & feeds
public posts, through platform APIs
Journalists & fact-checkers
their view, restored through Arbiter
Communities decide
informed choices
Arbiter is a public-interest AI system: it maps the networks behind deception before it sways people's minds.
Interactions = views, comments, and likes on the posts we collect. Public case studies at arbiter.simppl.org/studies.
We asked Arbiter to map how Filipino workers get recruited abroad, and where the scams hide. Built with Migrasia, and since replicated for Indonesian workers.
1st Dynamic Personnel Resources Inc.
FacebookDEPLOYMENT UPDATE! Another milestone achieved!🥳 Congratulations to our newly deployed workers bound for Japan!🎉 …
on the page DMW licence DMW-011-LB-051822-R · "no placement fee"
Health Care Jobs · amplifier page
FacebookDEPLOYMENT UPDATE! Another milestone achieved!🥳 Congratulations to our newly deployed workers…
the tell the agency's exact text, one of 33 co-posts, same numbers and emails
The Global Anti-Scam Alliance, 124 members across 90 countries, invited us to present the findings at its Bangkok summit. The report reached the Philippines Department of Migrant Workers.
Public reports: Philippines · Indonesia replication.
Maryland announces a printing vendor error: some voters were sent the wrong primary ballot.
The vendor cannot say who was affected, so replacements go to every mail-in voter, in envelopes marked “REPLACEMENT BALLOT INSIDE”. One ballot counts per voter.
Those mailings are recast online as “500,000 illegal mail-in ballots”: the same templated line from 50+ accounts across platforms.
Trump announces DOJ investigation into 500,000 *illegal* mail-in ballots sent out by the blue state of Maryland. Stop the fraud!
1,944,012 interactions across three posts
It bears repeating that no fake OR illegal mail-in ballots were distributed. Mail-in voting is not a fraud.
16,277 interactions across two posts
1,944,012 the loudest account pushing it
16,277 the state's chief election official
Sources: FactCheck.org, May 2026 · Maryland State Board of Elections. Interactions per account, 1–19 May; the study cites 469 news documents. Live study.
The same distrust of mail voting is the argument behind the SAVE Act.
TRUMP: PASS THE SAVE AMERICA ACT NOW, citing concerns over mail-in voting
111,142 interactions
Mail-in ballot controversy
256 posts
Legislative push for reform
141 posts
Two themes, one window. The ballot claim opened the conversation; the argument for new rules drew more than the claim itself.
Deployment is subject to funding. Democracy International: 100+ projects worldwide, a USAID partner since 2003.
Sources: H.R. 8281 · H.R. 22 · Brennan Center · Democracy International.
Arbiter cuts the time an investigation takes, and makes it reproducible.
manual cross-platform triage of scam-recruitment ads, one platform and one post at a time
Arbiter collects hundreds of suspect ads, maps the coordinated networks, and drafts the investigation; the analyst verifies and publishes
And it replicates. The pipeline we built for the Filipino investigation re-ran for Indonesia: new country, new language, same afternoon. Every partner we onboard makes the next one faster.
Time figures from our Migrasia engagement. Public reports: Philippines · Indonesia replication.
Manosphere narratives: 3,361 posts, 127M interactions on X in two months. Child-safety early warning with Odisha state officials.
Election monitoring with Maryland’s election consultants. We traced one false ballot claim across 50+ coordinated accounts.
Full case earlier in this deck · Democracy International
Fake overseas job ads that end in trafficking. With Migrasia we mapped 14 coordination networks across 383 accounts, twice.
Evidence for advocacy groups facing organized denial. Across 645 posts, one narrative took 45% of all interactions.
DeSmog signed up on their own
Antenatal and menstrual-health literacy over WhatsApp, in trials in Maharashtra and Bangladesh. We benchmark LLMs in Hindi and Marathi.
We train newsroom staff with DW Akademie and JournalismAI, undergraduates through NextGenAI, and health workers. 2,200+ trained.
Across all six, we detect and combat synthetic media and AI-generated persuasive campaigns, reading cognitive and behavioral signals alongside the content itself: who the accounts are, when they post together, and how the wording repeats.
All six on one page: simppl.org/simppl-brochure.pdf
100+ organizations across 21 countries signed up on their own; we are working with a growing subset as resources allow. A global fact-checking network wants Arbiter across its whole verified membership. That network leads the field with 140+ member organizations. Client names available on request.
NEST caught the coordinated push behind a secret defamation bill before it surfaced publicly, reading the signal from fewer than 60 accounts.
Mongolia's only internationally accredited fact-checkers · case report
acted on evidence our partners published: Meta's Q1 2024 Bangladesh takedown, and YouTube terminating flagged channels.
Meta Adversarial Threat Report Q1 2024 · Burkina Faso case (appendix)
opened conversations with us about running this work in their jurisdiction: Maryland, California, New York; Odisha in India; and the Philippines' Department of Migrant Workers.
Maryland has committed to a statewide rollout; the rest are proposals and scoping conversations, July 2026
Raised-with-collaborators total per the SimPPL Annual Report 2025; direct-receipt split confirmed by the team, July 2026.
$120K counts earned revenue this year; multi-year contract values run higher. INSEAD and Columbia are grants, listed separately.
Journalism
Civil society
Commercial · agencies
Grants fund journalist access; contracts pay for programs and measurement.
Free seats. They run the investigations and publish what we find, in their own language and their own byline.
About $2,500 to $15,000 a month, signed by a director. We are in conversation with a global marketing agency, a state attorney general’s office, a state elections agency, and civil-society research organizations.
The commercial clients listed are prospects with ongoing conversations. Client names available on request.
Networks distribute us: a global fact-checking network’s members, and Indicator.media’s 14,000 readers.
We measure a newsroom’s own mentions, so audience teams renew annually.
Extremism researchers already license data. We sell the analytics layer on top.
The setup we build for one agency becomes the next agency’s starting point.
A consumer brand, and where we learned audience analytics.
A prediction market. It prices public response into its odds.
A global agency, and a channel into every brand it serves.
The two sides run on one platform. The public-interest side finds the problems and wins the grants; the commercial side pays for the free seats underneath it.
The global fact-checking network is a leading network of 140+ member organizations. Commercial clients listed are prospects with ongoing conversations; the transparency project is signed. Client names available on request.
Founded out of NYC Media Lab; bootstrapped nonprofit
First in India to win responsible AI education awards from both Google and Mozilla, then Wikimedia; 5 peer-reviewed papers published
CrowdTangle shuts down; members of its own team now help us, an early vote of confidence. Meta's Q1 Bangladesh takedown follows our partners' reporting; we join the MIT venture accelerator
Arbiter ships: UNDP AI cohort; first recurring revenue, $15K a quarter. Nobel Laureate Maria Ressa's team onboards
Scale: Fast Forward accelerator; 100+ orgs, 21 countries, 318 case studies created; earned revenue reaches $120K. Stanford picks Arbiter for its platform workshop, a slot Meta, TikTok, and YouTube held in past years. 4 state governments reach out to partner
Funded by Google, Mozilla, Ford, Omidyar, Wikimedia, and the Brown Institute at Columbia.
Swapneel Mehta · Founder & Executive Director
Former postdoc at MIT and BU in AI safety. Integrity Institute Board Member, advising EU, UK, and LatAm policymakers on online safety.
Dhara Mungra · Co-Founder, leads engineering
NYU MS; former Data Scientist III at Bombora; CAIDP & U. Mannheim fellow; black belt and marathoner





Six full-time engineers build and run the platform: retrieval, agents, evaluation, infrastructure
Mukund Sudarshan · Anthropic
Christian Schroeder de Witt · University of Oxford
Chirag Raman · TU Delft
Sandra Khalil · All Tech Is Human
Rebecca Harvey · UK FCDO
Karan Dhabalia · entrepreneur (exited to Stripe)
Mansi Panchamia · World Bank
Stacey Peters · ex-VTDigger
Full board and team: simppl.org/team
For four to eight years we have trained journalists, students, and researchers to use these methods and tools. The programs build the audience and the credibility the product stands on.
NextGenAI. A year-long capstone fellowship where undergraduate teams build and ship AI responsibly. Sakhi, our health assistant, spun out of it.
AI for Journalism. Capacity-building for newsroom leaders and reporters, run with DW Akademie and JournalismAI.
AI for Healthcare. Training frontline health workers to run Sakhi, our WhatsApp health assistant, in local languages.
2,200+ trained across these programs. Alumni have gone on to Ivy League PhD programs, the Microsoft Research Fellowship, FAANG companies, and prominent startups.
Awards from Google and Mozilla. Programs backed by Genentech, DeepMind (via the NYU AI School), the University of Mannheim, DW Akademie, JournalismAI, and MIT. simppl.org/programs · simppl.org/testimonials
Annual support, at whichever level fits your program.
Pilot grants from $25K to $250K fund one specific program. Tell us which space matters most to you and we will align the scope with your priorities.
Budgets and milestones are ready for whichever scope you want to discuss. team@simppl.org
The journalists and fact-checkers communities trust lost their view of the feeds; Arbiter restores it, with every claim cited.
It already works at scale: 100+ organizations in 21 countries, and platforms and officials act on what they publish.
Support runs from a $25K pilot to $1M a year of general operating support across all six areas.
team@simppl.org simppl.org · arbiter.simppl.org · a U.S. 501(c)(3) nonprofit