The Battle for Trust: Five Social Media Trends from Spring 2026
Written By:Blaise Grimes-Viort
July 21, 2026
July 21, 2026 
Share This PostAt StrawberrySocial, we recently presented our spring 2026 social media trends briefing to clients, looking at the changes shaping social media between March and May.
One theme connected almost every development we discussed: trust.
AI is increasingly influencing how content is created, recommended, moderated and discovered. At the same time, audiences are becoming more cautious about what they see online, who created it and whether the signals surrounding it can still be believed.
Follower counts can be inflated. Engagement can be automated. Content can be produced at enormous speed. Even the answers people receive when searching for information may have been assembled by an AI system rather than selected from a familiar list of websites.
This does not mean that trust has disappeared but it does mean brands will need to work harder to earn it.
Here are five trends shaping the emerging AI internet, and what organisations should be thinking about now.
1. Discovery is moving beyond traditional search
The way people find information is changing, but this is not simply a case of audiences choosing TikTok over Google.
Google itself is rebuilding the search experience around AI Overviews and AI Mode. Instead of returning a straightforward list of links, these features can break a question into several related searches, gather information from different sources and use it to construct a single answer.
That changes the visibility challenge for brands. A page is no longer competing only for a traditional search ranking. Its information may be selected as one source within a much broader AI-generated response, alongside videos, forums, product data and other specialist content.
Google’s latest guidance makes clear that visibility in AI search will depend on useful, expert-led content that offers something beyond commonly available information. Its systems are designed to prioritise useful, reliable material with original expertise, first-hand experience or a genuinely distinctive point of view.
At the same time, social platforms are leaning further into discovery. TikTok describes users as entering “full-on discovery mode”, following questions and interests rather than simply scrolling through content from accounts they already know.
What this means for organisations
Being visible now depends on producing material that is credible enough to be surfaced, quoted or recommended across several different discovery environments.
That means:
- answering real audience questions clearly and thoroughly
- contributing expertise that cannot be found in dozens of interchangeable posts
- making claims and expertise easy to verify
- using video, images and social content alongside website copy
- paying attention to the conversations, communities and creators influencing how people research a subject
The goal is not to be everywhere for the sake of it. It is to be genuinely useful in the places where discovery is now happening.
2. Automated moderation is becoming a brand-safety issue
Social platforms rely heavily on automated systems to classify, rank, recommend, restrict and remove content at a scale that human review teams could never manage alone.
These systems are necessary, but they are not always transparent or accurate.
A post may be incorrectly restricted. Harmful content may remain visible. An innocent phrase may trigger an automated response. A legitimate account may suddenly lose reach without receiving a clear explanation.
These are not simply technical platform issues. They can affect an organisation’s reputation, visibility and ability to communicate with its audience.
What this means for organisations
Brand-safety and escalation processes need to account for decisions made by automated platform systems.
Teams should know:
- who monitors unexpected changes in reach or account status
- how potential misclassification is identified
- when a platform decision needs to be challenged
- who takes responsibility for escalating account or safety issues
- how audiences will be supported if important content becomes unavailable
Automation may be making the initial decision, but people still need to understand the consequences and decide what happens next.
3. Content creation is moving further inside the platforms
Social platforms are continuing to add their own editing, publishing, collaboration and monetisation tools.
Instagram has expanded its creator workflow through Edits, TikTok has integrated personalised Cameo requests, and YouTube is adding native editing, collaboration and planning tools to Shorts and YouTube Studio.
For social media teams, this makes creating content within the platform faster, simpler and better aligned with the formats the algorithm currently favours.
However, the more of your creative process that takes place inside one platform, the more dependent you become on its tools, rules and future decisions. Features can change. Access can be restricted. Preferred formats can lose visibility. Content and audience information may also be difficult to transfer elsewhere.
What this means for organisations
Native tools can be extremely useful, but convenience can come at the cost of control.
Organisations should regularly consider:
- which parts of the workflow depend on a single platform
- whether important creative assets are stored elsewhere
- how easily content can be adapted for other channels
- whether audience relationships extend beyond the platform
- what would happen if a tool, account or format suddenly became unavailable
Use the tools. Just avoid building the entire strategy around something you do not own.
4. Trust is becoming more valuable than popularity
Large audiences and high engagement figures have traditionally been treated as signs of authority.
But now that AI-generated content can be produced at scale and automated accounts can create the appearance of activity, follower numbers are no longer a reliable indication of whether an audience is relevant, attentive or even real.
Platforms and AI discovery systems are also becoming better at identifying signals of subject expertise, relevance and credibility.
Being widely known may still help, but being genuinely trusted is becoming more important.
What this means for organisations
Content strategies should make expertise visible rather than simply trying to maximise output.
That might include:
- sharing informed perspectives rather than repeating familiar talking points
- showing where information has come from
- involving knowledgeable people from across the organisation
- working with creators whose audiences and values genuinely align
- responding thoughtfully to questions and criticism
- being honest when an answer is still developing
Trust is not built by one viral post. It is earned slowly through repeated, credible interactions over time.
5. Social media measurement needs to catch up
If scale is becoming a less reliable indicator of trust, the way organisations measure social media performance also needs to change.
Follower counts, likes, views and verification badges can still provide useful context, but they do not tell you whether the right people are paying attention, whether a conversation is meaningful or whether social activity is influencing real behaviour.
This matters particularly when assessing creators and influencers. A large audience may look impressive, but it says very little about audience quality, relevance, authenticity or reputational risk.
What this means for organisations
Measurement should move beyond the most visible numbers and focus more closely on:
- audience relevance and quality
- the substance of comments and conversations
- saves, shares and direct recommendations
- changes in sentiment or understanding
- actions taken after engaging with content
- community growth and retention
- measurable campaign or organisational outcomes
This also makes proper influencer vetting more important.
Selecting a partner because they have a large following is not enough. Brands need to understand who the audience is, how the influence was built and whether the partnership is likely to create genuine value rather than superficial reach.
What happens next?
The move towards AI-assisted discovery and automated platform decisions is already well under way.
Platform-native creative workflows are also becoming increasingly difficult to ignore, while familiar measures of reach, influence and authority are losing some of their meaning.
As automated content and engagement become easier to produce, the parts that cannot be replicated convincingly become more valuable:
- good judgement
- lived experience
- credible expertise
- genuine conversation
- strong relationships
- careful moderation
- consistent community management
Acknowledging the AI internet is not simply about adopting more AI tools.
It is about building the governance, insight and human support needed to use those tools without losing the trust of the people you are trying to reach.
Building trust into your social media strategy
At StrawberrySocial, we help organisations understand changing platform behaviour, protect their brands and build healthier relationships with their online communities.
From strategic social insights to community management, moderation and brand safety support, we make sure the human side of social media does not get lost as the technology changes.