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Campaign texts, powered by AI: How new tech is shaping voter outreach

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Cite

Watson, K. (2026, October 30). Campaign texts, powered by AI: How new tech is shaping voter outreach. CBS News. https://www.cbsnews.com/news/ai-campaign-texts-midterms/

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CBS News · collected 2026-10-30 · by Kathryn Watson

Quick Summary

Ace Parsi, a Democratic candidate in West Virginia's midterm election, is using AI chatbots to text voters despite his personal reservations about artificial intelligence. This technology allows campaigns to engage thousands more voters daily than human volunteers can, recording conversations and potentially influencing voter opinions. Research suggests these AI-driven interactions are effective, shifting voter views more than traditional political ads. However, the rapid adoption of this tech raises privacy concerns and regulatory challenges since there's currently no requirement to disclose when a user is texting an AI agent rather than a real person.
Written by AI on 2026-10-30, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Ace Parsi, a Democratic candidate running against Republican Rep. Riley Moore in West Virginia, is using AI-powered chatbots for voter outreach despite his personal reservations about AI. The tech allows campaigns to engage with many more voters than possible through traditional methods like phone calls or door-to-door visits. According to Parsi, the chatbots center on making voters feel seen and listened to by discussing campaign-approved content such as speeches, press releases, and website information. In this midterm election cycle, these AI agents have shown effectiveness in shifting voter support from opposing candidates and slightly increasing turnout intentions among their own supporters. The initiative reflects a growing trend of integrating advanced technology like large language models (LLMs) in political campaigning to enhance voter engagement and mobilization efforts.

Written for “AI In Voter Outreach Campaigns” on 2026-10-30, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 116922 · logged 2026-10-30

Story

📰 AI In Voter Outreach Campaigns
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 8% of its claims. Each row says how that neighbour differs.
Los Angeles Times
⚖️ Leans left Hedges 15 of 44 claims Outlet record 95/100
“The articles discuss different aspects of AI in politics; one focuses on economic uncertainty due to AI and Trump's stance, while the other discusses the use of AI chatbots for voter outreach.”
The Intercept
Hedges 11 of 197 claims Outlet record 97/100
“The articles discuss different aspects of election activities and technology use, not a single specific event.”
AI Brings Back Public Trust Different event
Persuasion
⚖️ Leans left Hedges 8 of 118 claims
“The articles discuss different aspects of AI's impact on communication technology and voter outreach; they do not describe the same specific incident.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
169
sentences that state something as happening or true
Uncertain
8%
14 of 169 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
66/100
CBS News's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-10-30 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

CBS News · 4181 article(s) · 6 correction(s) detected
Running correction rate · 6 correction(s)

Who wrote this

Kathryn Watson
24 article(s) here · 1 carrying a prediction
🔮 "Everything that's on their website, speeches, press releases, anything that they want the agent to know, and then our agent will only ever discuss that information."
🔮 First lady Melania Trump joined him for a signing ceremony in the Rose Garden and said the executive order will make progress on five objectives: - Directing research funding to find cures that disproportionately affect women. - Using artificial intelligence to speed up medical discoveries. - Accelerating new therapeutics for women. - Delivering medical breakthroughs for women at an affordable price. - Making conversations about women's health less taboo.
2026-10-19 · assertive framing · Trump signs executive order on women's health
🔮 "Kim Guilfoyle and her lawyers claimed my allegations were false and they would defend the allegations vigorously," Deters wrote in a statement accompanying his lawsuit.
🔮 "She has been a wonderful asset to the team, and we wish her well."
🔮 "I responded that I would never take my Trump hat off to appease the left," she wrote.
🔮 The revelation that the Pentagon plans to livestream the execution by firing squad of Nidal Hasan, the ex-Army major convicted of killing 13 people at Fort Hood in 2009, has sparked intense pushback, with one Republican senator calling it "disgusting" and critics warning it could inspire more acts of terrorism.
2026-10-09 · assertive framing · Pentagon's plan to livestream execution sparks backlash
🔮 "Unfortunately for Kimberly Guilfoyle, at that time, at that moment in time, I didn't have $100,000 to spare to give to Kimberly Guilfoyle, or I actually would have been a dumbass enough to do it."
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🔮 I would say the answer, based on what I'm hearing, is yes.
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Also by Kathryn Watson
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 24 articles by Kathryn Watson →

Topics

CBS News Democrat Republican Washington West Virginia

Subjects

Parsi PERSON · 3× Santalucia PERSON · 3× Republican NORP · 2× Vector ORG · 2× Ace Parsi PERSON · 1× CBS News ORG · 1× Democrat NORP · 1× Riley Moore PERSON · 1× Washington GPE · 1× West Virginia GPE · 1×

Narrative

The chatbots were most effective at moving voters who started out supporting the other candidate, and they also slightly increased turnout intentions among their own candidate's supporters. "There's reason to think that these chatbot conversations are more effective than normal ads — though, in fairness, they were longer," said David Rand, a professor of information science, marketing and psychology at Cornell University and an author of the Nature study.
framing: assertive · carried by 1 article(s) · first seen 2026-10-30
🔮 "Everything that's on their website, speeches, press releases, anything that they want the agent to know, and then our agent will only ever discuss that information."
2026-10-30 · CBS News
Campaign texts, powered by AI: How new tech is shaping voter outreach · assertive framing

Claims (169 extracted, 14 hedged)

Ace Parsi describes himself as "personally pretty against AI." asserted
Parsi → describe → AI
The Democrat is running an uphill race against Republican Rep. Riley Moore in ruby-red West Virginia and has drafted a legislative proposal to block new data centers that don't have buy-in from constituents. asserted
that → run → constituents
But after what he said was probably the most complicated decision of his campaign, Parsi and his team are using AI chatbots to text voters ahead of November's election. asserted
Parsi → say → election
"We center so much of our conversation on making sure that people feel seen and listened to, and so we thought, 'OK, well, this is another tool to be able to do that,'" Parsi told CBS News. asserted
Parsi → center → News
Parsi's is one of a growing number of campaigns that are experimenting this midterm cycle with a new kind of voter canvassing: AI-powered text conversations that let campaigns talk with far more voters than staff and volunteers can reach on the ground. asserted
staff → grow → ground
These AI agents are powered by large language models, or LLMs — the same kind of tech behind Claude, Gemini or ChatGPT — loaded with campaign-approved material and instructed in how to engage voters. asserted
agents → power → voters
They can hold thousands of conversations in a single day, recording what voters care about and, in some cases, trying to change their minds. asserted
voters → hold → minds
Early research suggests the approach can work. uncertain
approach → suggest → ?
One recent study in the journal Nature found that short conversations with AI chatbots in controlled experiments shifted voters' views more than political ads typically do. asserted
ads → find → views
But the technology is moving faster than the rules around it. asserted
technology → move → it
Another study published in the journal Science found that the harder chatbots push, the less accurate their claims become. uncertain
claims → publish → journal
Campaigns can receive full transcripts of voters' conversations, raising new kinds of privacy questions. asserted
Campaigns → receive → questions
And in most states, there's no requirement to tell voters they're texting with AI. asserted
they → be → AI
Katie Harbath, CEO of the technology-focused political consulting firm Anchor Change, previously worked in Republican politics and at Facebook. asserted
Harbath → focus → Facebook
She said she gets the sense from campaigns that they're "still very much in the experimental stage" with the technology. asserted
they → say → technology
But it is happening. asserted
it → happen → ?
Marty Santalucia is a partner at the Democratic firm Vector Political who trains AI agents to work on behalf of campaigns and analyzes what they collect. asserted
they → train → what
He said the firm has sent over 3 million text messages this cycle, leading to over 35,000 individual conversations with voters. asserted
firm → say → voters
"What we found really incredibly is that people engage," Santalucia said. asserted
Santalucia → find → What
"The individual campaign staffer and the individual campaign is going to have the capacity to know their district, their state, their precinct, better than they have ever been able to previously know that area and the people there. asserted
they → go → area
And that has a very democratizing power, I believe. asserted
I → have → power
Taken together, the use of AI-driven chatbots represents a new kind of political tool: one that can hold conversations with voters at a scale no campaign has had before, but with the same kind of accuracy and privacy concerns that have defined the rise of AI use elsewhere. asserted
that → take → use
How it works Campaigns typically supply vendors with material they want the AI agent to pull from, rather than letting it draw on the open web, to reduce the chances of a conversation going off the rails. asserted
conversation → work → rails
"The campaign comes to us and loads in the knowledge base," said Tom Carroll, founder of Convos.ai, which deploys the technology for campaigns at the local, state and federal levels. asserted
which → come → levels
"Everything that's on their website, speeches, press releases, anything that they want the agent to know, and then our agent will only ever discuss that information." asserted
agent → want → information
Carroll said Convos sometimes works directly with campaigns and sometimes with firms like Santalucia's Vector, which offer a more tailored, "white-glove" service. asserted
which → say → service
Vector shapes its agents to behave like a trained canvasser. asserted
Vector → shape → canvasser
"What we basically have done is we've trained an AI to deep canvass," Santalucia said, referring to a technique built on extended, empathetic listening. asserted
Santalucia → do → listening
"And we've done extensive research on behavioral psychology and deep canvassing techniques and trained an AI to be really good at them. asserted
we → do → them
And what the end result there is, it's incredibly good at centering people, so it's very good at listening, which makes us very good at listening." asserted
us → be → listening
He added: "And then also we can implement it in a persuasive manner where it will listen and then do a really good job of relating that person's personal experiences which they then share to the campaign or cause that the agent is working on behalf of." asserted
agent → add → behalf
The process begins when an agent reaches out to each voter by sending a text. asserted
agent → begin → text
From there, voters can choose to engage or not. asserted
voters → choose → ?
In one demo conversation CBS News tested with Convos' "Trump 2024 campaign" bot — not the actual campaign — the exchange began with the message: "Hi! asserted
exchange → test → message
Let me know if you have questions about our stance on any issues leading up to election night this November. asserted
you → let → night
If you'd like to opt out of texts, just send STOP and I'll take you off our list." asserted
I → like → list
In another demo, CBS News asked if the respondent on the other end was a campaign worker. asserted
respondent → ask → end
"I'm a digital assistant created to help share information from the Trump 2024 campaign," the AI agent responded. asserted
agent → create → campaign
Often, the agent's response is delayed while the system digests the person's response. asserted
system → delay → response
Santalucia's company, for instance, uses another bot to double-check the texting agent's answer as an additional safeguard against incorrect information. asserted
company → use → information
…and 129 more, not listed.
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