Oroville Mercury-Register

Elon Musk’s big plans for Twitter: What we know so far

- By Matt O’brien

PROVIDENCE, R.I. » Tesla CEO Elon Musk has laid out some bold, if still vague, plans for transformi­ng Twitter into a place of “maximum fun” once he buys the social media platform for $44 billion and takes it private.

But enacting what at the moment are little more than a mix of vague principles and technical details could be considerab­ly more complicate­d than he suggests.

Here’s what might happen if Musk follows through on his ideas:

Free speech town square

Musk’s feistiest priority — but also the one with the vaguest roadmap — is to make Twitter a “politicall­y neutral” digital town square for the world’s discourse that allows as much free speech as each country’s laws allow.

He’s acknowledg­ed that his plans to reshape Twitter could anger the political left and mostly please the right. He hasn’t specified exactly what he’ll do about former President Donald Trump’s permanentl­y banned account or other right-wing leaders whose tweets have run afoul of the company’s restrictio­ns against hate speech, violent threats or harmful misinforma­tion.

Should Musk go this direction, it could mean bringing back not only Trump, but “many, many others that were removed as a result of QAnon conspiraci­es, targeted harassment of journalist­s and activists, and of course all of the accounts that were removed after Jan. 6,” said Joan Donovan, who studies misinforma­tion at Harvard University. “That could potentiall­y be hundreds of thousands of people.”

Musk hasn’t ruled out suspending some accounts, but says such bans should be temporary. His latest criticism has centered around what he described as Twitter’s “incredibly inappropri­ate” 2020 blocking of a New York Post article on Hunter Biden, which the company has said was a mistake and corrected within 24 hours.

Open-sourced algorithms

Musk’s longstandi­ng interest in AI is reflected in one of the most specific proposals he outlined in his merger announceme­nt — the promise of “making the algorithms open source to increase trust.” He’s talking about the systems that rank content to decide what shows up on users’ feeds.

Partly driving the distrust, at least for Musk supporters, is lore among U.S. political conservati­ves about “shadow banning” on social media. This is a supposed invisible feature for reducing the reach of badly behaving users without disabling their accounts. There has been no evidence that Twitter’s platform is biased against conservati­ves; studies have found the opposite when it comes to conservati­ve media in particular.

Musk has called for posting the underlying computer code powering Twitter’s news feed for public inspection on the coder hangout GitHub. But such “code-level transparen­cy” gives users little insight into how Twitter is working for them without the data the algorithms are processing, said Nick Diakopoulo­s, a Northweste­rn University computer scientist.

Diakopoulo­s said there are good intentions in Musk’s broader goal to help people find out why their tweets get promoted or demoted and whether human moderators or automated systems are making those choices. But that’s no easy task. Too much transparen­cy about how individual tweets are ranked, for instance, can make it easier for “disingenuo­us people” to game the system and manipulate an algorithm to get maximum exposure for their cause, Diakopoulo­s said.

‘Defeating the spam bots’

“Spam bots” that mimic real people have been a personal nuisance to Musk, whose popularity on Twitter has inspired countless impersonat­or accounts that use his image and name — often to promote cryptocurr­ency scams that look as if they’re coming from the Tesla CEO.

Sure, Twitter users, among them Musk, “don’t want spam,” said David Greene, civil liberties director at the Electronic Frontier Foundation. But who defines what counts as a spam bot?

“Do you mean all bots like if I follow a Twitter bot that just pulls up historic photos of fruits? I choose to follow that. Is that not allowed to exist?” he said.

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