As a social media platform, you know you've achieved success when others start cloning you. It's easy to call to mind the successful copycat platforms that, in several cases, far exceeded their predecessors: Facebook (MySpace, Friendster), Reddit (Digg). It's a bit harder to recall the many clones that never make it (Voat, Google+, Orkut), typically because the network effects that are intrinsic to platforms' success put those with small userbases at a distinct disadvantage or because they lack the infrastructure and/or revenue to support a rapidly growing userbase. In other words, there typically aren't enough people to make the place interesting or valuable, or there are too many people to keep running/moderating the platform for free.
But Meta/Facebook/Instagram's introduction of Threads is different in this regard, giving us a chance to see what a clone could do if it didn't have to worry about those two problems. Threads has already successfully ported 100 million users from Instagram, maintaining the network structure among interest/affinity groups and connections between established influencers and their audiences. It also has Meta's massive infrastructure at its disposal - growth won't be a problem. And so we have a rare opportunity to see if this version of a micro-blogging platform - already operating at a scale similar to the existing leader, Twitter - will be all that different than what came before.
Mark Zuckerberg has pitched Threads as a friendlier version of Twitter. Broad generalizations about the emotional valence of any social space are inherently oversimplifying - you can find pockets of friendliness and hostility among virtually any large group of people, online or offline. Still, it's entirely possible that one space could have the tendency to be friendlier than another - that's an empirically testable claim (provided you can agree on how to measure "friendliness").
Before trying to determine whether Threads has or is likely to achieve this goal (or whether such a goal is desirable, or if friendliness and ideological heterogeneity are mutually exclusive), it's worth considering how it might go about achieving it. Most obviously, more content moderation might tamp down overt hostility. Less obviously, there are facets of the platform that affect linkages among users - which users' posts are visible to other users.
By importing lists of followers and popular accounts from Instagram, Threads imported a set of cultural norms, one that evolved over the last decade and privileged attractive or attention-getting still images over words, audio, or video. Broadly speaking, there's a kind of showy-ness to Instagram, a content ranking system that rewards positivity (some would argue to toxic levels). Then there's the sociotechnical context in which Threads is being deployed - as a kind of antidote to Twitter's perceived problem with negativity, conflict, and abuse. If Twitter wasn't an especially friendly place before Elon Musk took it over, it is much less so now. This might create demand for such a place, which Threads is well positioned to serve.
Then there's that pesky algorithm - the necessarily obscure formula that controls which posts appear at the top of your feed. Despite widespread skepticism toward algorithms, its hard to imagine a popular social media platform without one, particular one that aspires not to link small groups of people together (e.g., Facebook, Discord, GroupMe, and the way some people use Snapchat) but to give everyone the chance - however remote - to command an audience. Imagine ranking YouTube or TikTok videos chronologically, or at random. Some weighted combination or popularity, engagement (e.g., number of comments or shares), and predicted affinity (amount of time you've spent on similar posts) is the best way to keep users coming back for more.
One way to go about ranking posts is to defer to the masses - showcase whatever is broadly popular, as Twitter does with its prominently displayed list of trending topics. Another way is to tailor it to each user's preferences - the niche approach favored by TikTok. The first kind of ranking creates a "main character of the day" a target for attention and ridicule on and beyond the platform. The second kind, supposedly, creates echo chambers (though evidence is mounting that, as intuitive as this understanding of personalized ranking is, it doesn't fit what most users actually see on social media). Inheriting its structure from Instagram, Threads seems to privilege, as Kyle Chayka put it, banal celebrities and self-branding. As masspersonal media where any user can potentially reach millions of other users, Threads cannot help but encourage a kind of performativity over connecting with a small group.
Then there's the shift from images and short video to text. The whole reason Threads is being talked about as a Twitter clone is because its primarily intended to be used for mass conversation. In their branching/nested structure (you can reply to a reply to a post, with each reply "nested" under the previous message), conversations on Threads resemble conversations on Reddit, and it will be interesting to see if future designs of Threads nudge users to engage more in the replies.
But I wonder about the brevity of text and what that does to conversations. The whole point of Twitter - what put the "micro" in "micro-blogging" - was the character limit (originally 140, upped to 280). It's well-suited to a fragmented attention universe, but I wonder if the tone of Twitter (witty, sure, but also mean) is an inevitable symptom of its mandatory brevity. Is there something about short-form writing that is bound to regress toward snark? Is that simply the nature of the medium, regardless of the combination of people and level of moderation? That's what Threads might give us a chance to observe.
