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Here's Why You Shouldn't Use AI to Vote

Wired ↗ · 2026-11-03 Cached

WIRED reports that mainstream AI chatbots frequently deliver inaccurate, outdated, or partisan answers about the US midterms, with research showing nearly 40% of election responses contain factual errors and chatbots often cite 'pink slime' partisan sites.

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#misinformation

Language Models Show Conformity Bias in RAG: When the Majority Endorses a Poisoned Claim

arXiv cs.CL ↗ · 2026-11-02 Cached

该论文研究了RAG系统中的从众偏差:当检索到的多数文档是互相一致的投毒文档时,Gemma-3-12b检测中毒声明的能力从25%显著下降至10%,表明语言模型会随附多数证据而忽视事实核查。

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#misinformation

AI fan wikis riddled with errors are muddying the waters of games culture

Hacker News Top ↗ · 2026-11-02 Cached

AI-generated fan wikis full of errors are crowding out legitimate game wikis in search results, frustrating players and forcing publishers like Hooded Horse to fight a 'whack-a-mole' against mass-produced low-quality sites.

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#misinformation

Tiktoker @ericisresearching discovers AI is being used to race swap people in real incidents for racist viral videos.

Reddit r/singularity ↗ · 2026-11-01

A TikToker identified real incidents where AI 'race-swapping' tools were used to fabricate racist viral videos, highlighting growing concerns over AI-enabled misinformation and harassment.

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#misinformation

Dead Internet theory

Lobsters Hottest ↗ · 2026-11-01 Cached

The Dead Internet theory, originally a conspiracy claim about bot-driven content control, has gained renewed attention as the AI boom floods social media feeds with low-quality generative content and automated activity.

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#misinformation

Chatbots Are Leading Hikers Astray, With Dangerous Consequences

Wired ↗ · 2026-11-01 Cached

A Wired/High Country News report details how AI chatbots like Gemini and Claude are giving hikers dangerous and inaccurate backcountry advice, contributing to bad decisions and rescue calls at Mount Shasta, Crown Mountain, and Grand Teton, even as overall search-and-rescue numbers remain steady.

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#misinformation

@cz_binance: Screenshots and videos are easy to fake. The chat in image 3 is fake. I can’t verify the other claims. People who can p…

X AI KOLs Following ↗ · 2026-11-01 Cached

CZ 确认网传的币安被黑截图中第三张聊天记录系伪造,并表示无法核实其他关于『提前预测币安被黑』的说法,指出真正能预知未来的人不会靠小号在 X 上发帖。

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#misinformation

Would you trust an emergency alert written by AI?

Reddit r/artificial ↗ · 2026-10-31 Cached

Article examines the risks and growing use of generative AI in drafting emergency alerts and public disaster communications, highlighting concerns over accuracy and trust as agencies adopt AI tools despite incomplete policies.

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#misinformation

Verification Learning Theory: A Process Model of Checking and Retention in AI-Assisted Judgment

arXiv cs.AI ↗ · 2026-10-31 Cached

A preprint proposing Verification Learning Theory (VLT), a formal process model of how AI-assisted claim checking affects retention of independent judgment, predicting that perceived assistant fallibility can improve delayed unaided performance through evidence checking.

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#misinformation

Q&A: Hey AI, who should I vote for this year?

MIT News — Artificial Intelligence ↗ · 2026-10-30 Cached

MIT News 问答报道了 MIT 研究团队开发的 LLM Election Observatory 仪表盘,该工具实时追踪主流 AI 聊天机器人如何回应 2026 年美国中期选举相关问题,以研究 AI 如何影响选民认知与政治话语。

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#misinformation

MIT's claim that 95% of AI pilots fail - Is this true?

Reddit r/artificial ↗ · 2026-10-30 Cached

一年后回顾MIT"95%的AI试点失败"这一广为引用的数据:该数字本身是基于对报告漏斗的误读和仅153份问卷的垃圾统计,但后续来自McKinsey、Deloitte、Capgemini及政府统计的数据表明,其背后的诊断——多数企业AI支出仍未反映到损益表上——大体成立。

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#misinformation

Inconsistency can distort information without factual fabrication.

Reddit r/ArtificialInteligence ↗ · 2026-10-30

文章探讨了AI系统的中立性护栏如何在不编造事实的情况下产生误导性结论,并以Google Gemini关于以色列定居点的对话作为逻辑不一致的案例,提出"中立性悖论"。

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#misinformation

Google AI gets cagey when asked who won the 2020 elections

Ars Technica ↗ · 2026-10-28 Cached

Google's AI Mode refuses to directly answer who won recent US presidential elections, instead pointing to official sources, while other chatbots and even Google's own Gemini respond accurately. Google cites strict safety filters for sensitive election topics, though behavior varies by region and repetition of the question.

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#misinformation

AI Emergency Alerts Are Coming. Humans Might Not Be Ready

Wired ↗ · 2026-10-28 Cached

WIRED/Grist reports on the growing use of generative AI tools by emergency managers to craft public alerts, highlighting risks of inaccurate outputs and unprepared agencies as climate disasters intensify.

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#misinformation

Same Verdict, Different Readers: Personalizing Fact-Checking Explanations from Relative Preferences

arXiv cs.CL ↗ · 2026-10-28 Cached

该论文提出 PERPL 框架,通过 LLM 模拟读者的相对偏好来学习个性化事实核查解释改写,在保持事实忠实性的同时优于更大的通用 LLM。

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#misinformation

Beyond the Evidence Coherence Trap: Agent-Driven Evidence Selection for Temporally Disordered Fake News Detection

arXiv cs.AI ↗ · 2026-10-28 Cached

论文提出 ChronoFake 基准与 DelSA(文档选择自更新智能体)框架,通过 LLM 提取事件时间线并结合重排序器筛选证据,以检测通过重排真实事件时间顺序构造的时序错乱假新闻,超越现有方法。

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#misinformation

Can we talk about how toxic AI discourse fuels baseless conspiracy theories and misinformation

Reddit r/singularity ↗ · 2026-10-27

文章讨论了有毒的AI舆论氛围如何助长毫无根据的阴谋论和错误信息,呼吁反思当前围绕AI的公共讨论方式。

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#misinformation

Wikipedia's Cleanup of AI-Generated Content

Hacker News Top ↗ · 2026-10-27 Cached

IEEE Spectrum interviews Ellia Lebleu, founding member of Wikipedia's WikiProject AI Cleanup, about the volunteer effort to detect and remove AI-generated content — including the emergence of subtler AI writing patterns, rampant AI-misattributed citations, and AI-detection tool Pangram estimating 15–20% of new articles are machine-generated.

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#misinformation

@LinusEkenstam: Apparently now @X somehow just make shit up, even tho I’ve publicly stated I have NOT been paid nor even been approache…

X AI KOLs Timeline ↗ · 2026-10-27 Cached

Linus Ekenstam accuses X of falsely labeling his unpaid posts about Kimi as sponsored content, forcing him to claim payment to unlock his suspended account, and urges the platform to improve its disclosure system.

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#misinformation

When Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems

arXiv cs.AI ↗ · 2026-10-27 Cached

该论文研究了LLM生成内容在信息生态中的循环再利用问题,发现内容回流会使完整错误声明增加7.29个百分点,同时明确背书减少8.33个百分点,揭示了未被背书的错误细节如何在下游生成中持续存在。

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