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Nearly half of 1,200 Kenyan internet users reportedly said they had shared personal secrets or sought sensitive advice from generative AI chatbots that they would hesitate to share with another person. That is the headline finding AfroTech Horizon attributed to a Nendo survey on 2 October 2026. The original survey report and methodology have not been located, so the figure should be read as a reported result—not as a verified or nationally representative estimate.

What the reported survey says

AfroTech Horizon’s article, attributed to its newsroom, says a Nendo survey of 1,200 Kenyan internet users found that nearly half had told chatbots deeply personal secrets or asked for advice on sensitive matters they might hold back from another human being. The article does not give an exact percentage for that finding.

The report also gives mixed ratings for chatbot responses in Kiswahili or Sheng:

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  • 34.9% reportedly rated responses “very good” or “excellent.”
  • 35.8% reportedly rated chatbot performance poorly.

These are respondents’ reported ratings, not independently measured language-performance scores. The article does not provide the survey questions, rating scale, evaluation criteria, chatbot models, or the field dates. Its figures therefore cannot establish how well chatbots perform across Kenya or across Kiswahili and Sheng tasks generally.

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How much confidence should readers place in the numbers?

The figures come from AfroTech Horizon’s account of a Nendo survey. The underlying Nendo report, questionnaire, and methodology have not been located, and the article does not link to them. Without those materials, readers cannot assess how participants were recruited, whether the sample represents Kenyan internet users, or how respondents interpreted questions about secrets and language quality.

Nendo’s public material describes its research and marketing work, and separately discusses attempts to classify Sheng in social-media data. That provides context about the organization’s work; it does not independently verify this survey or its findings. No margin of error, population estimate, or further statistical interpretation can be responsibly inferred from the published account.

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What the findings can—and cannot—tell us

Disclosure to a chatbot is not proof of trust or safety

The reported willingness to share sensitive information suggests that some respondents use chatbots for conversations they might avoid with another person. It does not show why they do so, whether they trust the service, or whether the interaction helped them. Nor does it establish what any particular chatbot stores, how long it retains conversations, or whether those conversations may be used to improve a service.

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Before entering sensitive details into an online service, check that service’s current privacy terms and controls. Do not assume that a conversational tone means a conversation is confidential, or that a setting on one chatbot applies to another.

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Fluent language is not the same as reliable advice

A response can sound natural in Kiswahili, Sheng, or English without being accurate, complete, or appropriate to a person’s circumstances. The reported ratings do not test factual correctness or expertise, and they do not identify which tasks respondents had in mind. Treat chatbot answers on consequential matters as a starting point for checking—not as demonstrated professional advice.

Language ratings do not explain the cause

The reported split between very positive and poor ratings points to varied user experiences, but it does not explain them. The published account does not show whether ratings reflected fluency, cultural fit, factual accuracy, task difficulty, or differences between chatbots. Local language and cultural context matter to how an answer lands; the available figures do not isolate those effects.

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What would make the findings easier to evaluate?

A fuller public account would need to disclose the survey instrument and methods, including recruitment, field dates, respondent characteristics, and the exact wording and response scales. For the language ratings, readers would also need to know which chatbot models and versions were assessed, what Kiswahili or Sheng tasks were used, and whether “poorly” referred to respondents’ overall impressions or a defined criterion.

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Until those details are available, the useful takeaway is limited but relevant: AfroTech Horizon reports that some surveyed Kenyan internet users disclose sensitive matters to chatbots, while respondents’ reported experiences with Kiswahili and Sheng responses were mixed. The figures raise questions worth asking, but they do not settle how representative those experiences are or whether the systems provide safe, expert, or culturally appropriate answers.

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  • 【Smart Meeting Assistant with Multi-Speaker Capture】 Designed for efficient meetings, it features real-time speaker distinction and dual recording modes: omnidirectional capture for group discussions and directional recording to focus on key speakers. With 8 powerful AI tools including meeting minutes, mind map organization, and AI summaries, it automatically sorts out key points, keywords, and action items to boost your work productivity.
  • 【Ultra-Fast Transfer & Long-Lasting Performance】 No more slow-transfer anxiety! The device offers 10x faster transfer speed than standard Bluetooth, transferring 1-hour recordings in just 1 minute. It supports up to 25 hours of continuous recording and 21 days of standby time, so you never have to worry about running out of power or missing important moments.
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