Google’s AI Overviews Now Include ‘Expert Advice’ from Social Media

In its latest round of updates to Google Search, the tech giant has expanded its AI Overviews feature to incorporate content from social media platforms and online community forums. The new feature, described by Google as a “preview of perspectives,” presents user-generated posts alongside traditional expert sources — and in some cases, labels those posts as “Expert Advice.” This change has already raised eyebrows among digital literacy advocates.

How the Feature Works

When a user performs a search, Google’s AI now pulls relevant discussions from sites like Reddit, X (formerly Twitter), and specialized forums. The content appears with the creator’s name, handle, or community name, along with a direct link to the source. For example, a search for “how to photograph the Northern Lights” might display advice from a photography news site, a tour company blog, and a Reddit subreddit such as r/photography — all under the “Expert Advice” label.

Google has been testing this feature since late 2023 as part of its broader AI Overviews initiative, which itself launched after the mixed reception of earlier AI-generated search snippets. The company argues that including “real-world perspectives” helps answer subjective or experience-based queries more effectively. However, the decision to brand social media posts as expert advice is where the controversy begins.

The Credibility Gap

While forums and social media can offer valuable anecdotal insights, they lack the editorial oversight and fact-checking processes of established media or academic sources. For queries related to health, finance, or legal matters, unverified Reddit posts could lead to harmful decisions. A 2024 study by the Reuters Institute found that over 60% of users under 30 trust social media search results as much as traditional news sources, making Google’s labeling decision particularly impactful.

Furthermore, spam farms and bot networks have increasingly exploited Reddit’s high ranking in Google Search results. These inauthentic accounts post fabricated reviews or promotional content disguised as organic advice. By elevating such content under an “Expert Advice” banner, Google risks amplifying misinformation at scale.

Google’s Response: It’s Not Always ‘Expert Advice’

A Google spokesperson clarified that the “Expert Advice” label is not applied universally. The company describes the social media snippets as a “preview of perspectives” and notes that they may appear under different headings such as “Perspectives” or “Community Experiences” depending on the query. In internal testing, Google claims to have used quality signals to prioritize posts from verified users and reputable communities. Still, the blurring of lines between curated editorial content and crowdsourced opinions remains a point of concern for media watchdogs.

Additional AI Overviews Updates

Alongside the social media integration, Google announced several other enhancements to AI Overviews and AI Mode:

• Further Exploration Suggestions: After providing a direct answer, AI Overviews now suggests related topics or deeper queries. For instance, after answering “What causes Northern Lights?”, it might prompt “Best viewing times in 2025.” This is designed to keep users engaged within Google’s ecosystem.
• Link Previews: A new hover feature shows a preview of the linked webpage, including a snippet and site name, helping users decide whether to click without leaving the search page.
• More Prominent Links: Relevant links within AI Overviews are now highlighted and displayed directly next to the cited information, making it easier for users to verify claims.
• Subscription-Based Linking: Google will prioritize links from news publications that a user subscribes to, provided the subscriptions are linked to their Google account. Early tests showed that users were more likely to click on sources they already trusted and paid for.

The Rise of AI-Driven Search and Its Pitfalls

Google’s push to make search results more conversational and context-aware is part of a broader industry trend. Competitors like Microsoft Bing Copilot and Perplexity AI already blend web sources with AI-generated summaries. However, Google’s unique challenge lies in balancing speed, accuracy, and authority across billions of queries daily. The inclusion of social media content addresses a user demand for authentic, first-hand experiences — for example, “What is it like to live in Tokyo?” might be better answered by a Reddit thread than a travel guide. Yet the risk of elevating misinformation is real.

In 2023, Google faced backlash when AI Overviews suggested using glue on pizza based on a Reddit joke. The company quickly removed that example, but it highlighted how easily AI can misinterpret sarcasm or falsehoods. The new “Expert Advice” label adds another layer of potential confusion: users may assume that anything labeled “expert” has been vetted.

What This Means for Users and Creators

For everyday users, the feature offers convenience — instant access to diverse opinions without scrolling through multiple forum pages. However, critical thinking is still essential. Google recommends that users treat these snippets as starting points and always click through to source pages to evaluate credibility. For content creators, the change means that well-crafted Reddit posts or LinkedIn threads could gain unprecedented visibility, but also opens the door for manipulation by brands and bad actors.

Digital literacy experts advise users to check the source’s reputation, look for corroborating information, and be wary of overly promotional language. They also call on Google to make the labeling more transparent — perhaps by including a “user-generated content” disclaimer more prominently.

Google’s updates reflect the company’s ambition to keep up with the evolving expectations of searchers while maintaining some level of trust. Whether the “Expert Advice” label will ultimately enhance or undermine that trust remains to be seen. The company has stated it will continue to refine its quality signals and user feedback loops, but for now, the line between crowd wisdom and genuine expertise has never been more blurred.

Source: Mashable News