Egos and intensity in the search for dark matter

Voices in the dark.

In the next few weeks, the world’s most sensitive dark matter detector will begin its operations under Italy’s Gran Sasso mountain. This seems a good time to point out that it is sharing the mountain with a detector that may already have found some. What a shame, then, that what might one day be viewed as a historic result has been mired in petty name-calling.

We’ve been looking for dark matter since 1933, when the astronomer Fritz Zwicky pointed out that clusters of galaxies move in ways that seemingly defy the laws of physics. The movement made sense only if the clusters were experiencing a gravitational pull from some invisible stuff nearby.

For various reasons, mostly to do with other astronomers not liking Zwicky very much, we’ve been searching for dark matter seriously only since the 1970s. During those four decades, there has been a series of pronouncements about its discovery being only a decade away. It might now be time to take those pronouncements a little more seriously: lately, the sensitivity of detectors has been improving tenfold every two years. We must surely be on the verge of finally nailing down the existence of dark matter. If we haven’t already, that is.

Dark matter doesn’t just hold gravity clusters together – it’s everywhere. It’s right here on earth, for instance: billions of dark matter particles fly through your body every second. You won’t feel them and they won’t harm you. They don’t interact much with the stuff of our everyday reality, which is what has made them so hard to detect.

While we don’t have any concrete detections of single particles, we do seem to have a discernible signal from passing through clouds of dark matter. It was first spotted by the DAMA dark matter detector, which is based, like the new DarkSide-50 detector, deep under the mountains at Gran Sasso. The rock covering them protects the instruments from distracting sources of noise.

In 2008, DAMA’s operators announced that they had identified a signal that rose and faded with the seasons. It might have been ignored, except that this is exactly what Katherine Freese predicted for a dark matter signal in 1986. She said that the intensity of dark matter detections should depend on the time of year, because as the earth whirls round the sun and the sun moves through the Milky Way, the amount of dark matter hitting the detectors will ebb and flow. It’s rather like the difference between walking into wind-driven rain, then turning and walking the other way. In June, dark matter hits Planet Earth full in the face; in December, it’s at our back.

So, it was pretty exciting that DAMA’s detector saw this predicted pattern. It was even more exciting when another detector, CoGeNT, based in a deep underground mine in Minnesota, also saw it. It’s a shame that a third detector, Xenon, didn’t.

Xenon is also in the Gran Sasso mine and there is no love lost between the leaders of these two research efforts. CoGeNT’s Juan Collar has called Xenon’s science “pure, weapons-grade balonium”. Not content with antagonising his peers, Collar has also accused the DAMA project of “cheapening the level of our discourse to truly imbecilic levels”.

Finding dark matter is proving to be astonishingly difficult and everyone knows there’s a Nobel prize at stake, so it’s not surprising that the claws are out.

Anyway, welcome to the fray, DarkSide-50; there is definitely room for more players in this competition. Whether there is room for more egos, however, is another matter.

Inside the DarkSide-50 experiment.

Michael Brooks holds a PhD in quantum physics. He writes a weekly science column for the New Statesman, and his most recent book is At the Edge of Uncertainty: 11 Discoveries Taking Science by Surprise.

This article first appeared in the 18 February 2013 issue of the New Statesman, Iraq: ten years on

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“Stinking Googles should be killed”: why 4chan is using a search engine as a racist slur

Users of the anonymous forum are targeting Google after the company introduced a programme for censoring abusive language.

Contains examples of racist language and memes.

“You were born a Google, and you are going to die a Google.”

Despite the lack of obscenity and profanity in this sentence, you have probably realised it was intended to be offensive. It is just one of hundreds of similar messages posted by the users of 4chan’s Pol board – an anonymous forum where people go to be politically incorrect. But they haven’t suddenly seen the error of their ways about using the n-word to demean their fellow human beings – instead they are trying to make the word “Google” itself become a racist slur.

In an undertaking known as “Operation Google”, some 4chan users are resisting Google’s latest artificial intelligence program, Conversation AI, by swapping smears for the names of Google products. Conversation AI aims to spot and flag offensive language online, with the eventual possibility that it could automatically delete abusive comments. The famously outspoken forum 4chan, and the similar website 8chan, didn’t like this, and began their campaign which sees them refer to “Jews” as “Skypes”, Muslims as “Skittles”, and black people as “Googles”.

If it weren’t for the utterly abhorrent racism – which includes users conflating Google’s chat tool “Hangouts” with pictures of lynched African-Americans – it would be a genius idea. The group aims to force Google to censor its own name, making its AI redundant. Yet some have acknowledged this might not ultimately work – as the AI will be able to use contextual clues to filter out when “Google” is used positively or pejoratively – and their ultimate aim is now simply to make “Google” a racist slur as revenge.


Posters from 4chan

“If you're posting anything on social media, just casually replace n****rs/blacks with googles. Act as if it's already a thing,” wrote one anonymous user. “Ignore the company, just focus on the word. Casually is the important word here – don't force it. In a month or two, Google will find themselves running a company which is effectively called ‘n****r’. And their entire brand is built on that name, so they can't just change it.”

There is no doubt that Conversation AI is questionable to anyone who values free speech. Although most people desire a nicer internet, it is hard to agree that this should be achieved by blocking out large swathes of people, and putting the power to do so in the hands of one company. Additionally, algorithms can’t yet accurately detect sarcasm and humour, so false-positives are highly likely when a bot tries to identify whether something is offensive. Indeed, Wired journalist Andy Greenberg tested Conversation AI out and discovered it gave “I shit you not” 98 out of 100 on its personal attack scale.

Yet these 4chan users have made it impossible to agree with their fight against Google by combining it with their racism. Google scores the word “moron” 99 out of 100 on its offensiveness scale. Had protestors decided to replace this – or possibly even more offensive words like “bitch” or “motherfucker” – with “Google”, pretty much everyone would be on board.

Some 4chan users are aware of this – and indeed it is important not to consider the site a unanimous entity. “You're just making yourselves look like idiots and ruining any legitimate effort to actually do this properly,” wrote one user, while some discussed their concerns that “normies” – ie. normal people – would never join in. Other 4chan users are against Operation Google as they see it as self-censorship, or simply just stupid.


Memes from 4chan

But anyone who disregards these efforts as the work of morons (or should that be Bings?) clearly does not understand the power of 4chan. The site brought down Microsoft’s AI Tay in a single day, brought the Unicode swastika (卐) to the top of Google’s trends list in 2008, hacked Sarah Palin’s email account, and leaked a large number of celebrity nudes in 2014. If the Ten Commandments were rewritten for the modern age and Moses took to Mount Sinai to wave two 16GB Tablets in the air, then the number one rule would be short and sweet: Thou shalt not mess with 4chan.

It is unclear yet how Google will respond to the attack, and whether this will ultimately affect the AI. Yet despite what ten years of Disney conditioning taught us as children, the world isn’t split into goodies and baddies. While 4chan’s methods are deplorable, their aim of questioning whether one company should have the power to censor the internet is not.

Google also hit headlines this week for its new “YouTube Heroes” program, a system that sees YouTube users rewarded with points when they flag offensive videos. It’s not hard to see how this kind of crowdsourced censorship is undesirable, particularly again as the chance for things to be incorrectly flagged is huge. A few weeks ago, popular YouTubers also hit back at censorship that saw them lose their advertising money from the site, leading #YouTubeIsOverParty to trend on Twitter. Perhaps ultimately, 4chan didn't need to go on a campaign to damage Google's name. It might already have been doing a good enough job of that itself.

Google has been contacted for comment.

Amelia Tait is a technology and digital culture writer at the New Statesman.