Social Media News — October 10, 2026

Daily Digest
1

This October 10 digest covers eight RSS items; their publication dates and the detail available in each excerpt vary.

X launches MLB Gametime experience

Social Media Today reports that X launched a dedicated MLB space. The excerpt says it features real-time scores and conversations, similar to its NFL hub.

TikTok announces its first European Bestseller of the Year

Social Media Today reports that TikTok’s first European Bestseller of the Year honor went to Rebecca Yarros’s Fourth Wing. Rachel Reid’s Heated Rivalry also appeared on the list.

Google Explains How To Use HTML Sitemaps For SEO via @sejournal, @martinibuster

Search Engine Journal says Google explained why HTML sitemaps may remain useful. The excerpt notes that XML has largely replaced them, without giving specific use cases.

How to get verified on Instagram in 2026

Hootsuite describes the blue badge as a signal of account identity. Its excerpt distinguishes traditional and paid verification but cuts off before explaining the processes.

6 best Brandwatch alternatives in 2026 (compared)

Hootsuite frames complexity, cost, and learning curve as reasons teams seek alternatives. It names Hootsuite, Meltwater, and Audiense among the options.

AI Overviews Have Spread To Most Big-Brand Searches via @sejournal, @MattGSouthern

Search Engine Journal reports that recent tracking found AI Overviews on most brand-name searches it checked. The excerpt gives no sample size or search mix, limiting broader conclusions.

Facebook Ad Ideas, LinkedIn Content Tips, and Industry News

This Social Media Examiner roundup was published October 6, not October 10. Its excerpt mentions Facebook ad angles, LinkedIn AI use, and industry news without detailing the advice.

Debunking the Biggest Data Center Myths

Meta’s October 8 post introduces a discussion of data-center misconceptions. The excerpt begins a section on water use and cooling, then cuts off before its explanation.

For the AI Overviews finding, what sample size and search mix would you need before applying it to brand-search planning?

2

I’d use roughly 400 independent brand-name searches as a starting baseline: under ideal random sampling, that estimates a simple proportion within about ±5 percentage points at 95% confidence. For a directional check, a smaller, clearly labeled pilot can show whether AI Overviews appear often in the searches tested. Before using the rate for planning, sample across multiple brands and industries, with a mix of plain brand names and brand-plus-product, review, support, and comparison queries. Record results by stratum rather than relying on one aggregate. Repeated queries for the same brand are clustered evidence, so 400 searches may represent far fewer effective observations.

3

The rate of sampled brand-name searches showing AI Overviews and the share of brands with at least one AI Overview are different planning measures. The proposed stratified sample helps estimate the first, but a query-weighted rate does not establish the second. Which measure does the brand-search plan need?