【Cuckold movies】

Twitter no longer wants to show you just what's new in its search results,Cuckold movies it wants to show you who tweeted it best.

The platform has moved further away from reverse chronological order in search to relevance order. Now when you look for something using Twitter's search bar, you'll be shown relevance-ordered tweets from across Twitter first on the results page.

The change occurred in September, according to a Twitter spokesperson, but was announced publicly Monday.

SEE ALSO: Trump didn't invite Twitter's CEO to Trump Tower tech summit

If you still want to see the most recent live tweets, the "latest" filter is still there, as well as "news," "photos" and "videos."

While alterations to the Twitter timeline algorithm caused the internet to briefly lose its mind in early 2016, changes to search are unlikely to cause much of a stir.

However, both tweaks show the social media company's obsession with the difficult concept of "relevance."

Announced in February, Twitter's opt-in timeline changes prioritised what it assessed to be "the best tweets" in a user's timeline, rather than simply showing them the most recent tweets from the people they follow.

Mashable Light Speed Want more out-of-this world tech, space and science stories? Sign up for Mashable's weekly Light Speed newsletter. By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up!

Original image has been replaced. Credit: Mashable

In search, the freshest tweets don't necessarily contain the most useful information, but relevancy isn't simple either. Especially when you have to cull from all of Twitter and not just from the accounts users follow.

In a blog post, Lisa Huang, senior software engineer on Twitter's search quality team, explained the difficulty of prioritising so-called relevant tweets in search results.

The team are using machine learning to help decide how tweets will be ordered. "A person's behaviour on Twitter provides an invaluable source of relevance information," she wrote.

"Using this information, we can train machine learning models that predict how likely a Tweet is to be engaged with (Retweets, likes and replies). We can then use these models as scoring functions for ranking by treating the probability of engagement as a surrogate for the relevance of Tweets."

It's not that simple. As she notes, the likelihood of someone engaging with a tweet is also heavily influenced by where it appears. In other words, you're much more likely to retweet something if it's the first thing you see.

The team had to engage with this bias, along with the "noise" of Twitter -- for example, accidentally "liking" a tweet -- when pulling out the most relevant search results for users.

Diversity of results also mattered. Showing tweets from five news outlets who are all sharing the same video is not so helpful -- but which outlet's video should get priority? Huang wrote that the team is still working on adding diversity to search results.

Safe to say, we'll see more of this in the future.

---

Featured Video For You

---

The family of Aboriginal woman, Julieka Dhu, want justice after the 22-year Yamatji woman died in police custody

---

Topics Social Media X/Twitter

• Games
• Shopping
• Digital Culture
• Tech
• Life
• Social Good
• Science
• Deals

• TikTok wants me to host a dinner party. Is that an actual recession indicator?
• An Editorial Exchange: Donald Hall and George Plimpton by Donald Hall
• The Philosopher of the Firework by Skye C. Cleary and John Kaag
• Sketchbook: The First Sex
• Exceptionally rare radio sources detected in the distant universe
• Who Are You, Jack Whitten? by Jack Whitten
• How to Write a Feminist “Dead Girl” Story
• Poetry Rx: There Is a Line That Could Make You Love Me Really
• DDR4 Memory at 4000 MT/s, Does It Make a Difference?
• Redux: In Dire Straits by The Paris Review

• All I Want for Mother’s Day Is a Goddamn Drink
• Black Friday Nintendo Switch deals 2023: The 'Mario Kart 8 Deluxe' bundle is back
• Writers’ Fridges: Leslie Jamison
• The Bad Sex in Fiction Award 2012: Shortlist by Sadie Stein
• ‘The Birds’ at Rikers Island
• The Moment of Writing by Amit Chaudhuri
• Amazon Black Friday TV deals 2023: Fire TVs, cheap QLEDs, and more
• Sometimes the Pie Just Calls Your Name by Rick Bragg
• Technical, Tactical, and Merciless: An Interview with Marcus Wicker
• Black Friday PlayStation deals 2023: Save on 'Star Wars Jedi: Survivor' and much more

• NYT Connections Sports Edition hints and answers for May 19: Tips to solve Connections #238
• Destined for the Dirty
• Katherine Mansfield Would Approve by Ashleigh Young
• The Spectacle of Women’s Wrestling
• Best robot vacuum deal: Get the Roborock Q5 Max for 53% off at Amazon
• Marlene Dumas’s Metamorphoses
• Redux: Snared By Sin by The Paris Review
• Cooking with Eileen Chang by Valerie Stivers
• Best vacuum mop combo deal: Save $140 on the Tineco Floor One S5
• Poetry Rx: Won’t You Celebrate with Me?

• Today's Hurdle hints and answers for May 5, 2025
• Who Are You, Jack Whitten? by Jack Whitten
• A Few Words to the Graduates
• Staff Picks: Laughing Cows, Lo
• Operation Mensch
• On Writing Letters to Famous Strangers by A. M. Homes
• Your Problems Have One Answer
• How Finland Rebranded Itself as a Literary Country by Kalle Oskari Mattila
• The Mismeasure of Media
• What Our Contributors Are Reading This Summer