Elon Musk, X and the Problem of Misinformation in an Era Without Trust

Elon Musk thinks a free market of ideas will self-correct. Liberals want to regulate it. Both are missing a deeper predicament.

Jennifer Szalai of the New York Times has a good book review or essay on misinformation and disinformation, Elon Musk, X and the Problem of Misinformation in an Era Without Trust. She writes about how Big Tech (Facebook and Google) benefit from the view that people are being manipulated by social media. It helps sell their services even though there is less evidence of clear and easy manipulation. It is possible that there is an academic business of Big Disinfo that is invested in a story about fake news and its solutions. The problem instead may be a problem of the authority of elites who regularly lie to the US public. This of the lies told after 9/11 to justify the “war on terror”; why should we believe any “elite”?

One answer is to call people to “Do your own research.” Of course that call has its own agenda. It tends to be a call for unsophisticated research through the internet. Of course, everyone should do their own research, but we can’t in most cases. What would it take to really understand vaccines through your own research, as opposed to joining some epistemic community and calling research the parroting of their truisms. With the internet there is an abundance of communities of research to join that will make you feel well-researched. Who needs a PhD? Who needs to actually do original research? Conspiracies like academic communities provide safe haven for networks of ideas.

Who wants to farm potatoes in the metaverse? Exploring Roblox’s corporate hell-worlds

Everyone from Samsung to Victoria’s Secret is getting in on Roblox. We hunted down the very worst branded experiences in the all-ages game platform (and an unofficial Ryanair world)

Rich Pelley of the Guardian has a nice article about the worst corporate games in Roblox, Who wants to farm potatoes in the metaverse? Exploring Roblox’s corporate hell-worldsCanada’s McCain’s Farms of the Future, for example, explains regenerative farming of potatoes. You can see McCain’s Regen Fries site here.

This use of a virtual gaming platform for advertising reminds me of the way Second Life was used by companies to build virtual advertising real estate. Once a space becomes popoular the advertisers follow.

Predatory community

Projects that seek to create new communities of marginalized people to draw them in to risky speculative markets rife with scams and fraud are demonstrating

Through a Washington Post article I discovered Molly White who has been documenting the alt-right and now the crypto community. She has a blog at Molly White and a site that documents the problems of crypto at Web3 is going just great. There is, of course, a connection between the alt-right and crypto broculture, something that she talks about in posts like Predatory community which is about crypto promotions try to build community and are now playing the inclusive card – aiming at marginalized communities and trying to convince them that now they can get in on the action and build community. She calls this “predatory community.”

Groups that operate under the guise of inclusion, regardless of their intentions, are serving the greater goal of crypto that keeps the whole thing afloat: finding ever more fools to buy in so that the early investors can take their profits. And it is those latecomers who are left holding the bag in the end.

With projects that seek to provide services and opportunities to members of marginalized groups who have previously not had access, but on bad terms that ultimately disadvantaged them, we see predatory inclusion.22 With projects that seek to create new communities of marginalized people to draw them in to risky speculative markets rife with scams and fraud, we are now seeing predatory community.

The Internet is Made of Demons

The Internet Is Not What You Think It Is is not what you think it is.

Sam Kriss has written a longish review essay on Justin E.H. Smith’s The Internet is Not What You Think It Is with the title The Internet is Made of Demons. In the first part Kriss writes about how the internet is possessing us and training us,

Everything you say online is subject to an instant system of rewards. Every platform comes with metrics; you can precisely quantify how well-received your thoughts are by how many likes or shares or retweets they receive. For almost everyone, the game is difficult to resist: they end up trying to say the things that the machine will like. For all the panic over online censorship, this stuff is far more destructive. You have no free speech—not because someone might ban your account, but because there’s a vast incentive structure in place that constantly channels your speech in certain directions. And unlike overt censorship, it’s not a policy that could ever be changed, but a pure function of the connectivity of the internet itself. This might be why so much writing that comes out of the internet is so unbearably dull, cycling between outrage and mockery, begging for clicks, speaking the machine back into its own bowels.

Then Kriss makes the case that the Internet is made of demons – not in a paranoid conspiracy sort of way, but in a historical sense that ideas like the internet often involve demons,

Trithemius invented the internet in a flight of mystical fancy to cover up what he was really doing, which was inventing the internet. Demons disguise themselves as technology, technology disguises itself as demons; both end up being one and the same thing.

In the last section Kriss turns to Justin E.H. Smith’s book and reflects on how the book (unlike the preceding essay “It’s All Over”) are not what the internet expects. The internet, for Smith, likes critical essays that present the internet as a “rupture” – something like the industrial revolution, but for language – while in fact the internet in some form (like demons) has been with us all along. Kriss doesn’t agree. For him the idea of the internet might be old, but what we have now is still a transformation of an old nightmare.

If there are intimations of the internet running throughout history, it might be because it’s a nightmare that has haunted all societies. People have always been aware of the internet: once, it was the loneliness lurking around the edge of the camp, the terrible possibility of a system of signs that doesn’t link people together, but wrenches them apart instead. In the end, what I can’t get away from are the demons. Whenever people imagined the internet, demons were always there.

Why people believe Covid conspiracy theories: could folklore hold the answer?

Using Danish witchcraft folklore as a model, the researchers from UCLA and Berkeley analysed thousands of social media posts with an artificial intelligence tool and extracted the key people, things and relationships.

The Guardian has a nice story on Why people believe Covid conspiracy theories: could folklore hold the answer? This reports on research using folklore theory and artificial intelligence to understand conspiracies.

The story maps how Bill Gates connects the coronavirus with 5G for conspiracy fans. They use folklore theory to understand the way conspiracies work.

Folklore isn’t just a model for the AI. Tangherlini, whose specialism is Danish folklore, is interested in how conspiratorial witchcraft folklore took hold in the 16th and 17th centuries and what lessons it has for today.

Whereas in the past, witches were accused of using herbs to create potions that caused miscarriages, today we see stories that Gates is using coronavirus vaccinations to sterilise people. …

The research also hints at a way of breaking through conspiracy theory logic, offering a glimmer of hope as increasing numbers of people get drawn in.

The story then addresses the question of what difference the research might make. What good would a folklore map of a conspiracy theory do? The challenge of research is the more information clearly doesn’t work in a world of information overload.

The paper the story is based on is Conspiracy in the time of corona: automatic detection of emerging Covid-19 conspiracy theories in social media and the news, by Shadi Shahsavari, Pavan Holur, Tianyi Wang , Timothy R Tangherlini and Vwani Roychowdhury.

Dead By Daylight fans unhappy Hellraiser model is an NFT

Apparently Non-Fungible Tokens (NFTs) of game models are not going down well with fans according to a story, Dead By Daylight fans unhappy Hellraiser model is an NFT.

Even thought Behaviour isn’t selling the NFTs themselves, they are facilitating the sale of them by providing the models from the game. Gaming fans seem to view blockchain and NFTs as dubious and environmentally unsound technology. Behaviour’s response was,

We hear and understand the concerns you raised over NFTs. Absolutely zero blockchain tech exists in Dead by Daylight. Nor will it ever. Behaviour Interactive does not sell NFTs.

On a related note, Valve is banning blockchain and NFT games.

Donald Trump to launch social media platform called Truth Social

The former president, who remains banned from Facebook and Twitter, has a goal to rival those tech giants

The Guardian and other sources are covering the news that  Donald Trump to launch social media platform called Truth Social. It is typical that he calls the platform the very thing he is accused of not providing … “truth”. Trump has no shame and routinely turns whatever is believed about him, from fake news to being a loser, into an accusation against others. The king of fake news called any story he didn’t like fake news and when he lost the 2020 election he turned that upside down making belief that the election was stolen (and he therefore is not a loser) into a touchstone of Republican belief. How does this end? Do sane Republicans just stop mentioning him at some point? He can’t be disproved or disagreed with; all that can happen is that he gets cancelled. And that is why he wants us to Follow the Truth.

Trump Tweet Archive

All 50,000+ of Trump’s tweets, instantly searchable

Thanks to Kaylin I found the Trump Twitter Archive: TTA – Search. Its a really nice clean site that lets you search or filter Trump’s tweets from when he was elected to when his account was shut down on January 8th, 2021. You can also download the data if you want to try other tools.

I find reading his tweets now to be quite entertaining. Here are two back to back tweets that seems to almost contradict each other. First he boasts about the delivery of vaccines, and then talks about Covid as Fake News!

Jan 3rd 2021 – 8:14:10 AM EST: The number of cases and deaths of the China Virus is far exaggerated in the United States because of @CDCgov’s ridiculous method of determination compared to other countries, many of whom report, purposely, very inaccurately and low. “When in doubt, call it Covid.” Fake News!

Jan 3rd 2021 – 8:05:34 AM EST: The vaccines are being delivered to the states by the Federal Government far faster than they can be administered!

Can’t Get You Out of My Head

I finally finished watching the BBC documentary series Can’t Get You Out of My Head by Adam Curtis. It is hard to describe this series which is cut entirely from archival footage with Curtis’ voice interpreting and linking the diverse clips. The subtitle is “An Emotional History of the Modern World” which is true in that the clips are often strangely affecting, but doesn’t convey the broad social-political connections Curtis makes in the narration. He is trying out a set of theses about recent history in China, the US, the UK, and Russia leading up to Brexit and Trump. I’m still digesting the 6 part series, but here are some of the threads of theses:

  • Conspiracies. He traces our fascination and now belief in conspiracies back to a memo by Jim Garrison in 1967 about the JFK assassination. The memo, Time and Propinquity: Factors in Phase I presents results of an investigative technique built on finding patterns of linkages between fragments of information. When you find strange coincidences you then weave a story (conspiracy) to join them rather than starting with a theory and checking the facts. This reminds me of what software like Palantir does – it makes (often coincidental) connections easy to find so you can tell stories. Curtis later follows the evolution of conspiracies as a political force leading to liberal conspiracies about Trump (that he was a Russian agent) and alt-right conspiracies like Q-Anon. We are all willing to surrender our independence of thought for the joys of conspiracies.
  • Big Data Surveillance and AI. Curtis connects this new mode of investigation to what the big data platforms like Google now do with AI. They gather lots of fragments of information about us and then a) use it to train AIs, and b) sell inferences drawn from the data to advertisers while keeping us anxious through the promotion of emotional content. Big data can deal with the complexity of the world which we have given up on trying to control. It promises to manage the complexity of fragments by finding patterns in them. This reminds me of discussions around the End of Theory and shift from theories to correlations.
  • Psychology. Curtis also connects this to emerging psychological theories about how our minds may be fragmented with different unconscious urges moving us. Psychology then offers ways to figure out what people really want and to nudge or prime them. This is what Cambridge Analytica promised – the ability to offer services we believed due to conspiracy theories. Curtis argues at the end that behavioural psychology can’t replicate many of the experiments undergirding nudging. Curtis suggests that all this big data manipulation doesn’t work though the platforms can heighten our anxiety and emotional stress. A particularly disturbing part of the last part is the discussion of how the US developed “enhanced” torture techniques based on these ideas after 9/11 to create “learned helplessness” in prisoners. The idea was to fragment their consciousness so that they would release a flood of these fragments, some of which might be useful intelligence.
  • Individualism. A major theme is the rise of individualism since the war and how individuals are controlled. China’s social credit model of explicit control through surveillance is contrasted to the Western consumer driven platform surveillance control. Either way, Curtis’ conclusion seems to be that we need to regain confidence in our own individual powers to choose our future and strive for it. We need to stop letting others control us with fear or distract us with consumption. We need to choose our future.

In some ways the series is a plea for everyone to make up their own stories from their fragmentary experience. The series starts with this quote,

The ultimate hidden truth of the world is that it is something we make, and could just as easily make differently. (David Graeber)

Of course, Curtis’ series could just be a conspiracy story that he wove out of the fragments he found in the BBC archives.

Facial Recognition: What Happens When We’re Tracked Everywhere We Go?

When a secretive start-up scraped the internet to build a facial-recognition tool, it tested a legal and ethical limit — and blew the future of privacy in America wide open.

The New York Times has an in depth story about Clearview AI titled, Facial Recognition: What Happens When We’re Tracked Everywhere We Go? The story tracks the various lawsuits attempting to stop Clearview and suggests that Clearview may well win. They are gambling that scraping the web’s faces for their application, even if it violated terms of service, may be protected as free speech.

The story talks about the dangers of face recognition and how many of the algorithms can’t recognize people of colour as accurately which leads to more false positives where police end up arresting the wrong person. A broader worry is that this could unleash tracking at another scale.

There’s also a broader reason that critics fear a court decision favoring Clearview: It could let companies track us as pervasively in the real world as they already do online.

The arguments in favour of Clearview include the challenge that they are essentially doing to images what Google does to text searches. Another argument is that stopping face recognition enterprises would stifle innovation.

The story then moves on to talk about the founding of Clearview and the political connections of the founders (Thiel invested in Clearview too). Finally it talks about how widely available face recognition could affect our lives. The story quotes Alvaro Bedoya who started a privacy centre,

“When we interact with people on the street, there’s a certain level of respect accorded to strangers,” Bedoya told me. “That’s partly because we don’t know if people are powerful or influential or we could get in trouble for treating them poorly. I don’t know what happens in a world where you see someone in the street and immediately know where they work, where they went to school, if they have a criminal record, what their credit score is. I don’t know how society changes, but I don’t think it changes for the better.”

It is interesting to think about how face recognition and other technologies may change how we deal with strangers. Too much knowledge could be alienating.

The story closes by describing how Clearview AI helped identify some of the Capitol rioters. Of course it wasn’t just Clearview, but also a citizen investigators who named and shamed people based on photos released.