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Knowledge File / 全球热点解读
2026-06-19 10 浏览 公开

趋势解读:More people get news from AI chatbots,but,解读最新研究结论

路透社报告显示,全球AI聊天机器人新闻使用率升至10%,信任度上升但点击率低,年轻人和极端政治观点用户更活跃。

SOURCE / 全球热点解读 MIN / 9 ACCESS / 公开 POST / 2026-06-19 22:42:25

原贴

查看原文
作者:Matthias Bastian 来源站点:the-decoder.com 原贴时间:

原文

Global use of AI chatbots for news has risen from 7 to 10 percent, according to the Reuters Institute's Digital News Report 2026. While 44 percent of active users trust AI-generated news, only 4 percent regularly click through to original sources. Chatbots risk reinforcing users' existing beliefs and splintering public discourse through hyper-personalized content, but they can also make complex topics more accessible and expose people to a wider range of perspectives. The Reuters Institute's Digital News Report 2026 finds that weekly use of AI chatbots for news has climbed from 7 to 10 percent globally. AI tools like ChatGPT and Google Gemini are playing a bigger, though still small, role in how people get their news. That's the takeaway from the Reuters Institute's Digital News Report 2026. Weekly chatbot use for news rose from 7 to 10 percent worldwide. Just 1 percent of respondents call AI chatbots their main news source. The growth is mostly coming from markets in Asia, Africa, Latin America, and Southern and Eastern Europe. Chatbot news use skews young and engaged, according to the study. Among 18- to 24-year-olds, 17 percent use chatbots for news, compared to just 5 percent in the oldest age group. The 25-to-34 bracket saw the strongest relative growth, jumping 4 percentage points. Ad Usage among self-described "news lovers" hits 18 percent, well above the 7 percent among casual consumers. People with extreme political views also use AI chatbots for news more often: 16 percent on the far left and 15 percent on the far right. Researcher Dr. Amy Ross Arguedas says these groups simply tend to be more interested in news. Ad DEC_D_Incontent-1 Across the 45 markets surveyed, asking follow-up questions is the top use case at 42 percent. That's followed by getting current news (35 percent), summaries (34 percent), checking the reliability of news sources (33 percent), and simplifying news (30 percent). In markets with low press freedom scores, like Hong Kong and Turkey, and in markets where trust in news is low, like Hungary and Romania, using chatbots to check source reliability ranks especially high. Globally, 42 percent of users say they want more depth or explanation. Another 39 percent say AI is faster than other ways of getting news. Ad Only 37 percent of respondents trust most news. Trust in news from AI chatbots sits at just 20 percent among the general population. But the picture shifts among actual users: 44 percent of chatbot users trust AI-generated news, compared to only 17 percent of non-users, according to the report . At the market level, the data shows a strong link between trust and usage; much stronger than on social media. The study attributes this to the fact that using chatbots for news is a more deliberate choice than the often passive way people stumble across news on social media. Ad DEC_D_Incontent-2 Across all respondents in 27 markets, only 4 percent say they always or often click from AI chatbots to original sources. For search engines, that number is 19 percent. For social media, 17 percent. The gap partly reflects chatbots' much smaller user base for news, and, of course, how the system works. If I get an answer insteado of an link, of course I have less incentive to click and this shows in the data. Ad

中文翻译

根据路透社研究所的《2026年数字新闻报告》,全球使用人工智能聊天机器人获取新闻的比例已从7%上升至10%。虽然44%的活跃用户信任人工智能生成的新闻,但只有4%的人经常点击查看原始来源。聊天机器人可能会通过超个性化的内容强化用户现有的信念并分裂公共话语,但也可以使复杂的主题更容易理解,并让人们接触到更广泛的观点。

核心信息

路透社报告显示,全球AI聊天机器人新闻使用率升至10%,信任度上升但点击率低,年轻人和极端政治观点用户更活跃。

  • 全球AI新闻使用率升至10%,但点击率仅4%
  • 44%活跃用户信任AI新闻,非用户仅17%
  • 18-24岁用户使用率17%,远超老年人
  • 追问新闻是最常见使用场景(42%)
  • 信任与使用强关联,高于社交媒体

详细解读

这是什么信号
路透社研究所《2026年数字新闻报告》揭示,AI聊天机器人作为新闻来源的比例从7%升至10%,但只有4%的用户会点击原始链接。这表明AI新闻的消费模式正在形成,但用户仍倾向于被动接受而非深入验证。

为什么重要
该趋势反映了信息获取方式的根本转变:AI主导的个性化内容可能加剧信息茧房,同时降低用户对传统新闻来源的依赖。信任数据(44%活跃用户信任)与点击率低形成反差,暗示用户可能高估AI的准确性。

对谁有价值
对内容创作者:需优化内容在AI中的可发现性;对平台:需设计引导用户查证的机制;对新闻机构:需策略性拥抱AI分发以维持影响力。

可以怎么行动
1. 为内容添加结构化数据(如Schema.org)以提升在AI中的呈现;2. 开发AI聊天插件使用户在获取摘要时能一键跳转原文;3. 针对年轻用户生产更互动、可视化的新闻摘要。

风险或限制
过度依赖AI可能导致新闻多样性下降;低点击率使广告收入模式承压;信任差异(普通民众20% vs 用户44%)可能扩大信息鸿沟。

信息差价值

信息差价值
多数人只知AI新闻增长,却忽略信任与点击的鸿沟。报告揭示不同年龄、政治倾向群体的使用差异,以及市场间(如低新闻自由度地区)对可靠性检查的偏好,这些都是可转化为行动洞察的数据点。

业务启发
内容平台应关注AI摘要对点击率的影响,可尝试“摘要+来源”混合呈现模式。新闻机构可针对年轻用户开发AI问答产品,同时设计奖励点击机制(如积分、深度文章解锁)。

可沉淀动作
1. 建立监测体系:跟踪自有内容在AI中的引用率和点击率;2. 优化内容结构:采用问答式写作、提供结构化摘要;3. 推出“AI新闻素养”系列内容,提升用户辨别能力;4. 与AI平台合作试点“透明标签”(如标注AI生成度)。

参考来源

上一篇 趋势解读:OpenRouter vs LiteLLM,讨论数据集与基础模型 下一篇 趋势解读:New benchmark exposes how badly AI struggles with,解读最新 AI 进展