Month: August 2024

It should be easy for the UK’s Competition Authority to shut down the proposed merger of Vodafone and Three, two of the UK’s four major mobile network providers. Remaining as competition post-merger would be EE (owned by BT) and Virgin Media O2 (owned by the Spanish company Telefónica and the US-listed company Liberty Global).

The trade union Unite is correctly calling the likely consequences: higher prices, fewer choices, job losses, and poorer customer service. In response, Vodafone and Three are dangling a shiny object of temptation: investment in building 5G network.

Well, hogwash. I would say “Don’t do this” even if I weren’t a Three customer (who left Vodafone years ago). Let them agree to collaborate on building a sbared network and compete on quality and services, but not merge. See the US broadband market, where prices are high, speeds are low, and frustrated consumers rarely have more than one option and take heed.

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It’s a relief to see some sanity arriving around generative AI. As a glance at the archives will show, I’ve never been a fan; last year Jon Crowcroft and I predicted the eventual demise of large language models due to model collapse. Now, David Gray Widder and Mar Hicks warn in a paper that although the generative AI bubble is deflating, its damage will persist: “…carbon can’t be put back in the ground, workers continue to need to fend off AI’s disciplining effects, and the poisonous effect on our information commons will be hard to undo.”

This week offers worked examples. Re disinformation, at The Verge Sarah Jeong describes the change in our relationship with photographs arriving with new smartphones’ ability to fake realistic images. At The Register, Dan Robinson reports that data centers and AI are causing a substantial rise in water use in the US state of Virginia.

As evidence of the deflating bubble, Widder and Hicks cite the recent Goldman Sachs report arguing that generative AI is unlikely ever to pay back its investment.

And yet: to exploit generative AI, companies and governments are reversing or delaying programs to lower carbon emissions. Also alarmingly, Widder and Hicks wonder if generative AI was always meant to fail and its promoters’ only real goals were to scoop up profits and use the inevitability narrative to make generative AI a vector for embedding infrastructural dependencies (for example, on cloud computing).

That outcome doesn’t have to have been a plan – or a conspiracy theory, just as robber barons don’t actually need to conspire in order to serve each other’s interests. It could just as well be a circumstances-led pivot. But companies that have put money into generative AI will want to scrounge whatever return they can get. So the idea that we will be left with infrastructure that’s a poor fit for our actual needs is a disturbing – and entirely possible – outcome.

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It’s fascinating – and an example of how you never know where new technologies will lead – to learn that people are using DNA testing to prove they qualify for citizenship in other countries such as Ireland, where a single grandparent will get you in. In some cases, such as the children of unmarried Irish women who were transported to England, this use of DNA testing rights historic wrongs. For others, it opens new opportunities such as the right to live in the EU. Unfortunately, it’s easy to imagine that in countries where citizenship by birthright is a talking point for the right wing this type of DNA testing could be mooted as a requirement. I’d like to think that rounding up babies for deportation is beyond even the most bigoted authoritarians, but…

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The controversial British technology entrepreneur Mike Lynch has died a billionaire’s death; his superyacht sank in a tornado off the coast of Sicily. I interviewed him for Salon in 2000, when he was newly Britain’s first software billionaire. It was the first time I heard of the theorem developed by Thomas Bayes, an 18th century minister and mathematician (which now is everywhere), and for a long time afterwards I wasn’t certain I’d correctly understood his comments about perception and philosophy. This was exacerbated by early experience with his software in 1996, when it was still a consumer desktop search product fronted by an annoying cartoon dog – I thought it unusably slow compared to pre-Google search engines. By 2000, Autonomy had pivoted to enterprise software, which seemed a better fit.

In 2011, Sharon Bertsch McGrayne‘s book, The Theory That Would Not Die, explained things more clearly. That year, Lynch hit a business peak by selling Autonomy to Hewlett-Packard for $11 billion. A year later, he left HP, and set up Invoke Capital to invest in companies with fundamental technology ideas that scale.

Soon afterwards, HP wrote down $8.8 billion and accused Lynch of accounting fraud. The last 12 years of his life were spent in courtrooms: first a UK civil case, decided for HP in 2022, which Lynch was appealing, then a fight against extradition, and finally a criminal trial in the US, where former Autonomy CFO Sushovan Hussein had already been sent to jail for five years. Lynch’s fatal yacht trip was to celebrate his acquittal.

Illustrations: A Customs and Border Protection scientist reads a DNA profile to determine the origin of a commodity (via Wikimedia.

Wendy M. Grossman is the 2013 winner of the Enigma Award. Her Web site has an extensive archive of her books, articles, and music, and an archive of earlier columns in this series. She is a contributing editor for the Plutopia News Network podcast. Follow on Mastodon.

Be careful what you allow the authorities to do to people you despise, because one day those same tools will be turned against you.

In the last few weeks, the shocking stabbing of three young girls at a dance class in Southport became the spark to ignite riots across the UK by people who apparently believed social media theories that the 17-year-old boy responsible was Muslim, a migrant, or a terrorist. With the boy a week from his 18th birthday, the courts ruled police could release his name in order to make clear he was not Muslim and born in Wales. It failed to stop the riots.

Police and the courts have acted quickly; almost 800 people have been arrested, 350 have been charged, and hundreds are in custody. In a moving development, on a night when more than 100 riots were predicted, tens of thousands of ordinary citizens thronged city streets and formed protective human chains around refugee centers in order to block the extremists. The riots have quieted down, but police are still busy arresting newly-identified suspects. And the inevitable question is being asked: what do we do next to keep the streets safe and calm?

London mayor Sadiq Khan quickly called for a review of the Online Safety Act, saying he doesn’t believe it’s fit for purpose. Cabinet minister Nick Thomas-Symonds (Labour-Torfaen) has suggested the month-old government could change the law.

Meanwhile, prime minister Keir Starmer favours a wider rollout of live facial recognition to track thugs and prevent them from traveling to places where they plan to cause social unrest, copying systems the police use to prevent football hooligans from even boarding trains to matches. This proposal is startling because: before standing for Parliament Starmer was a human rights lawyer. One could reasonably expect him to know that facial recognition systems have a notorious history of inaccuracy due to biases baked into their algorithms via training data, and that in the UK there is no regulatory framework to provide oversight. Silkie Carlo, the director of Big Brother Watch immediately called the proposal “alarming” and “ineffective”, warning that it turns people into “walking ID cards”.

As the former head of Liberty, Shami Chakrabarti used to say when ID cards were last proposed, moves like these fundamentally change the relationship between the citizen and the state. Such a profound change deserves more thought than a reflex fear reaction in a crisis. As Ciaran Thapar argues at the Guardian, today’s violence has many causes, beginning with the decay of public services for youth, mental health, and , and it’s those causes that need to be addressed. Thapar invokes his memories of how his community overcame the “open, violent racism” of the 1980s Thatcher years in making his recommendations.

Much of the discussion of the riots has blamed social media for propagating hate speech and disinformation, along with calls for rethinking the Online Safety Act. This is also frustrating. First of all, the OSA, which was passed in 2023, isn’t even fully implemented yet. When last seen, Ofcom, the regulator designated to enforce it, was in the throes of recruiting people by the dozen, working out what sites will be in scope (about 150,000, they said), and developing guidelines. Until we see the shape of the regulation in practice, it’s too early to say the act needs expansion.

Second, hate speech and incitement to violence are already illegal under other UK laws. Just this week, a woman was jailed for 15 months for a comment to a Facebook group with 5,100 members that advocated violence against mosques and the people inside them. The OSA was not needed to prosecute her.

And third, while Elon Musk and Mark Zuckerberg definitely deserve to have anger thrown their way, focusing solely on the ills of social media makes no sense given the decades that right-wing newspapers have spent sowing division and hatred. Even before Musk, Twitter often acted as a democratization of the kind of angry, hate-filled coverage long seen in the Daily Mail (and others). These are the wedges that created the divisions that malicious actors can now exploit by disseminating disinformation, a process systematically explained by Renee DiResta in her new book, Invisible Rulers.

The FBI’s investigation of the January 6, 2021 insurrection at the US Capitol provides a good exemplar for how modern investigations can exploit new technologies. Law enforcement applied facial recognition to CCTV footage and massive databases, and studied social media feeds, location data and cellphone tracking, and other data. As Charlie Warzel and Stuart A. Thompson wrote at the New York Times in 2021, even though most of us agree with the goal of catching and punishing insurrectionists and rioters, the data “remains vulnerable to use and abuse” against protests of other types – such as this year’s pro-Palestinian encampments.

The same argument applies in the UK. Few want violence in the streets. But the unilateral imposition of live facial recognition, among other tracking technologies, can’t be allowed. There must be limits and safeguards. ID cards issued in wartime could be withdrawn when peace came; surveillance technologies, once put in place, tend to become permanent.

Illustrations: The CCTV camera at 22 Portobello Road, where George Orwell once lived.

Wendy M. Grossman is the 2013 winner of the Enigma Award. Her Web site has an extensive archive of her books, articles, and music, and an archive of earlier columns in this series. She is a contributing editor for the Plutopia News Network podcast. Follow on Mastodon.

Most of us howled with laughter this week when the news broke that Elon Musk is suing companies for refusing to advertise on his exTwitter platform. To be precise, Musk is suing the World Federation of Advertisers, Unilever, Mars, CVS, and Ørsted in a Texas court.

How could Musk, who styles himself a “free speech absolutist”, possibly force companies to advertise on his site? This is pure First Amendment stuff: both the right to free speech (or to remain silent) and freedom of assembly. It adds to the nuttiness of it all that last November Musk was telling advertisers to “go fuck yourselves” if they threatened him with a boycott. Now he’s mad because they responded in kind.

Does the richest man in the world even need advertisers to finance his toy?

At Techdirt, Mike Masnick catalogues the “so much stupid here”.

The WFA initiative that offends Musk is the Global Alliance for Responsible Media, which develops guidelines for content moderation – things like a standard definition for “hate speech” to help sites operate consistent and transparent policies and reassure advertisers that their logos don’t appear next to horrors like the livestreamed shooting in Christchurch, New Zealand. GARM’s site says: membership is voluntary, following its guidelines is voluntary, it does not provide a rating service, and it is apolitical.

Pre-Musk, Twitter was a member. After Musk took over, he pulled exTwitter out of it – but rejoined a month ago. Now, Musk claims that refusing to advertise on his site might be a criminal matter under RICO. So he’s suing himself? Blink.

Enter US Republicans, who are convinced that content moderation exists only to punish conservative speech. On July 10, House Judiciary Committee, under the leadership of Jim Jordan (R-OH), released an interim report on its ongoing investigation of GARM.

The report says GARM appears to “have anti-democratic views of fundamental American freedoms” and likens its work to restraint of trade Among specific examples, it says GARM’s recommended that its members stop advertising on exTwitter, threatened Spotify when podcaster Joe Rogan told his massive audience that young, healthy people don’t need to be vaccinated against covid, and considered blocking news sites such as Fox News, Breitbart, and The Daily Wire. In addition, the report says, GARM advised its members to use fact-checking services like NewsGuard and the Global Disinformation Index “which disproportionately label right-of-center news sites as so-called misinformation”. Therefore, the report concludes, GARM’s work is “likely illegal under the antitrust laws”.

I don’t know what a court would have made of that argument – for one thing, GARM can’t force anyone to follow its guidelines. But now we’ll never know. Two days after Musk filed suit, the WFA announced it’s shuttering GARM immediately because it can’t afford to defend the lawsuit and keep operating even though it believes it’s complied with competition rules. Such is the role of bullies in our public life.

I suppose Musk can hope that advertisers decide it’s cheaper to buy space on his site than to fight the lawsuit?

But it’s not really a laughing matter. GARM is just one of a number of initiatives that’s come under attack as we head into the final three months of campaigning before the US presidential election. In June, Renee DiResta, author of the new book Invisible Rulers, announced that her contract as the research manager of the Stanford Internet Observatory was not being renewed. Founding director Alex Stamos was already gone. Stanford has said the Observatory will continue under new leadership, but no details have been published. The Washington Post says conspiracy theorists have called DiResta and Stamos part of a government-private censorship consortium.

Meanwhile, one of the Observatory’s projects, a joint effort with the University of Washington called the Election Integrity Partnership, has announced, in response to various lawsuits and attacks, that it will not work on the 2024 or future elections. At the same time, Meta is shutting down CrowdTangle next week, removing a research tool that journalists and academics use to study content on Facebook and Instagram. While CrowdTangle will be replaced with Meta Content Library, access will be limited to academics and non-profits, and those who’ve seen it say it’s missing useful data that was available through CrowdTangle.

The concern isn’t the future of any single initiative; it’s the pattern of these things winking out. As work like DiResta’s has shown, the flow of funds financing online political speech (including advertising) is dangerously opaque. We need access and transparency for those who study it, and in real time, not years after the event.

In this, as so much else, the US continues to clash with the EU, which it accused in December of breaching its rules with respect to disinformation, transparency, and extreme content. Last month, it formally charged Musk’s site for violating the Digital Services Act, for which Musk could be liable for a fine of up to 6% of exTwitter’s global revenue. Among the EU’s complaints is the lack of a searchable and reliable advertisement repository – again, an important element of the transparency we need. Its handling of disinformation and calls to violence during the current UK riots may be added to the investigation.

Musk will be suing *us*, next.

Illustrations: A cartoon caricature of Christina Rossetti by her brother Dante Gabriel Rossetti 1862, showing her having a tantrum after reading The Times’ review of her poetry (via Wikimedia).

Wendy M. Grossman is the 2013 winner of the Enigma Award. Her Web site has an extensive archive of her books, articles, and music, and an archive of earlier columns in this series. She is a contributing editor for the Plutopia News Network podcast. Follow on Mastodon.

Invisible Rulers: The People Who Turn Lies Into Reality
by Renée DiResta
Hachette
ISBN: 978-1-54170337-7

For the last week, while violence has erupted in British cities, commentators asked, among other things: what has social media contributed to the inflammation? Often, the focus lands on specific famous people such as Elon Musk, who told exTwitter that the UK is heading for civil war (which basically shows he knows nothing about the UK).

It’s a particularly apt moment to read Renée DiResta‘s new book, Invisible Rulers: The People Who Turn Lies Into Reality. Until June, DiResta was the technical director of the Stanford Internet Observatory, which studies misinformation and disinformation online.

In her book, DiResta, like James Ball in The Other Pandemic and Naomi Klein in Doppelganger, traces how misinformation and disinformation propagate online. Where Ball examined his subject from the inside out (having spent his teenaged years on 4chan) and Klein is drawn from the outside in, DiResta’s study is structural. How do crowds work? What makes propaganda successful? Who drives engagement? What turns online engagement into real world violence?

One reason these questions are difficult to answer is the lack of transparency regarding the money flowing to influencers, who may have audiences in the millions. The trust they build with their communities on one subject, like gardening or tennis statistics, extends to other topics when they stray. Someone making how-to knitting videos one day expresses concern about their community’s response to a new virus, finds engagement, and, eventually, through algorithmic boosting, greater profit in sticking to that topic instead. The result, she writes, is “bespoke realities” that are shaped by recommendation engines and emerge from competition among state actors, terrorists, ideologues, activists, and ordinary people. Then add generative AI: “We can now mass-produce unreality.”

DiResta’s work on this began in 2014, when she was checking vaccination rates in the preschools she was looking at for her year-old son in the light of rising rates of whooping cough in California. Why, she wondered, were there all these anti-vaccine groups on Facebook, and what went on in them? When she joined to find out, she discovered a nest of evangelists promoting lies to little opposition, a common pattern she calls “asymmetry of passion”. The campaign group she helped found succeeded in getting a change in the law, but she also saw that the future lay in online battlegrounds shaping public opinion. When she presented her discoveries to the Centers for Disease Control, however, they dismissed it as “just some people online”. This insouciance would, as she documents in a later chapter, come back to bite during the covid emergency, when the mechanisms already built whirred into action to discredit science and its institutions.

Asymmetry of passion makes those holding extreme opinions seem more numerous than they are. The addition of boosting algorithms and “charismatic leaders” such as Musk or Robert F. Kennedy, Jr (your mileage may vary) adds to this effect. DiResta does a good job of showing how shifts within groups – anti-vaxx groups that also fear chemtrails and embrace flat earth, flat earth groups that shift to QAnon – lead eventually from “asking questions” to “take action”. See also today’s UK.

Like most of us, DiResta is less clear on potential solutions. She gives some thought to the idea of prebunking, but more to requiring transparency: platforms around content moderation decisions, influencers around their payment for commercial and political speech, and governments around their engagement with social media platforms. She also recommends giving users better tools and introducing some friction to force a little more thought before posting.

The Observatory’s future is unclear, as several other key staff have left; Stanford told The Verge in June that the Observatory would continue under new leadership. It is just one of several election integrity monitors whose future is cloudy; in March Facebook announced it would shut down research tool CrowdTangle on August 14. DiResta’s book is an important part of its legacy.