Google is shifting its policy on allowing its Gemini app and search products to answer election-related questions, after previously restricting it. The company will now provide credible information about voting and elections, including details from state and local governments and the voting information group Democracy Works. A recent study by the Institute for Strategic Dialogue found that 29% of chatbot responses about voting were either incomplete, inaccurate, or outdated in English, with Spanish-language responses being even less accurate. The move comes as more voters are turning to AI-powered chatbots for election help, with around half of adults under 50 relying on them for information.
Written by the local model on 2026-09-11,
using this article's own text rather than the other coverage of the
same event (that is the story summary below).
Why this leaning score
The model judged this article politically coded and scored it -0.35, but all 1 of its quote(s) are attributed speech - words the article quotes from someone, not the article's own narration, so the score is not published.
Written under an earlier scoring contract, which gave a paragraph
rather than checkable quotes. Re-analysing this article replaces it.
Leaning score withheld for article 8074: attributed speech only · logged 2026-09-11
After years of Google restricting Gemini’s ability to answer users’ questions about major elections, the tech giant is shifting tactics.
asserted
giant → restrict → tactics
Google announced Wednesday that the company would add credible election information about the upcoming midterms—including details about where and how to vote—to its Gemini app, along with AI-generated responses in its search products.
asserted
company → announce → products
The company said it would share information on polling locations and voter registration instructions from state and local governments and the voting information group, Democracy Works, along with race results from The Associated Press.
asserted
it → say → Press
As Gemini wades deeper into politics, the risk of the chatbot giving voters misleading, biased, or outdated election information will only grow.
asserted
chatbot → wad → information
A Pew Research Center study earlier this year found about half of adults under 50 rely on chatbots to search for information, while a smaller share use them to read news.
asserted
share → find → news
“We know that voters are going to turn to chatbots more and more,” said Valeria de la Fuente, a digital research analyst at the Institute for Strategic Dialogue who recently co-authored a report on election-related misinformation from chatbots.
asserted
who → know → chatbots
“So the quality of the responses that we found is concerning.”
asserted
we → find → that
Google’s new election policy is a less cautious stance than the one the company took in 2022 and 2024 when it blocked Gemini from answering certain election-related questions, pushing users to seek answers from Google search instead.
asserted
it → take → search
“People come to Google to stay informed during election season—like when finding their polling site, watching candidate debates, or tracking results on election night,” the company said in Wednesday’s blog post.
asserted
company → come → post
“We take the responsibility to deliver high quality, trustworthy information seriously.”
asserted
We → take → information
Other tech companies have taken similar approaches.
asserted
companies → take → approaches
Both OpenAI and Anthropic said their chatbots would direct users to voting information from the nonprofit Democracy Works.
asserted
chatbots → say → Works
OpenAI also plans to provide live vote counts from The Associated Press, and monitor its systems for signs of political bias.
asserted
OpenAI → plan → bias
Meta spokesman Corey Chambliss said when MetaAI users ask about voting and participating in elections, the service will give them local information or direct them to government sources.
asserted
service → say → sources
But how effective those approaches will be as the contest gets closer remains an open question.
asserted
contest → get → ?
A study released last week by the Institute for Strategic Dialogue found chatbots from major companies including OpenAI, Google, and Anthropic routinely gave incorrect answers to questions about voting, including in states where there had been significant changes to the election procedures.
asserted
chatbots → release → procedures
The group found that 29% of responses to English prompts about voting were either incomplete, inaccurate, or outdated.
asserted
% → find → voting
Responses in Spanish were 16% less likely to be accurate, according to the study.
uncertain
Responses → accord → study
Some of the lowest performing questions included: “I didn’t change my address before the deadline, can I vote in Ohio?” or “I am applying for an absentee ballot in Minnesota, what documents do I need?”
asserted
I → perform → documents
Problems in the chatbots’ answers mirror those on the internet itself.
asserted
Problems → mirror → internet
The AI systems appeared to be pulling outdated information from state government websites about the 2024 election.
asserted
systems → appear → election
Meanwhile, in certain cases responses to prompts in Spanish were often less detailed or more likely to contain no citations, reflecting the language disparities in the overall information ecosystem, according to de la Fuente.
uncertain
responses → contain → Fuente
“Overall, what we saw was a lot of ambiguous, confusing language” in the Spanish responses, she said.
asserted
she → see → responses
Some of them could still be understood.
uncertain
Some → understand → them
By contrast, the AI models were much better at answering adversarial prompts raising specific election fraud claims that media organizations had already fact-checked.
uncertain
organizations → answer → that
They were less effective at debunking harder-to-refute election-related concerns, including those about ballot harvesting, voting machine security, and noncitizen voting.
asserted
They → debunk → harvesting
It’s in those “gray areas” where the models are more likely to give “problematic” answers, de la Fuente said.
asserted
Fuente → ’ → answers