This is what online harassment looks like

Obscene images, hate sites and a game where people are invited to beat you up have been inflicted on Anita Sarkeesian.

When I first wrote about the sexist abuse of women online, collating the experiences of nearly a dozen writers, the response was largely positive. Many hadn't been aware there was a problem; they were shocked. Others had assumed that they were the only ones whose every word on the web was greeted with a torrent of abusive, threatening comments.

But a few reactions stood out, among them that of Brendan O'Neill, the Telegraph blogs section's resident contrarian. He wrote that feminist campaigners pointing this out was a "hilarious echo of the 19th-century notion that women need protecting from vulgar and foul speech". We were, he said, "a tiny number of peculiarly sensitive female bloggers" trying to close down freedom of speech.

The best response to that argument, incidentally, comes from Ally Fogg, who wrote recently:

What you fail to understand is that the use of hate speech, threats and bullying to terrify and intimidate people into silence or away from certain topics is a far bigger threat to free speech than any legal sanction.

Imagine this is not the internet but a public square. One woman stands on a soapbox and expresses an idea. She is instantly surrounded by an army of 5,000 angry people yelling the worst kind of abuse at her in an attempt to shut her up. Yes, there's a free speech issue there. But not the one you think.

I couldn't have put it better myself. As the months have gone on, and more "trolls" (or "online bullies", if you're a semantic stickler) have been exposed, the perception that what we're talking about when we talk about online harrassment is "a few mean comments" or an insult or two has grown.

On 12 June, I wrote about American blogger Anita Sarkeesian, who launched a Kickstarter programme to raise $6,000 to research "tropes vs women in videogames". Donating was - and I really can't stress this enough - completely voluntary. There are Kickstarters for all kinds of things: for example,  a "dance narrative featuring some of NYC's most compelling performers that celebrates the pursuit of love and the joys of imperfection" doesn't sound like my kind of thing, but God Bless Them, they are 89% funded towards their $12,000 goal. 

But a big swath of the internet wasn't prepared to live and let live in Sarkeesian's case, and began spamming her YouTube video comments with a pot-pourri of misogynist, racist and generally vile abuse. Each one individually was grim; together they constituted harassment. (You can read the full story in my blog here).

Since then, Anita Sarkeesian has been subjected to a good deal more harassment. Let's run through the list for anyone who still thinks this issue is about a few mean words.

Image-based harassment

 

This is the kind of stuff people have been sending to Sarkeesian's inbox, repeatedly, and posting on the internet in an attempt to game her Google Image search results. There have also been drawings of her in sexually degrading situations:

Both these sets of images are taken from Sarkeesian's blog post documenting the harassment (and are reproduced with her permission). They have been posted on the web generally, and also sent specifically to her Facebook page, Twitter account and YouTube channel. The second set show, in her words:

The first image depicts a woman drawn to resemble me who is tied up with a wii controller shoved in her mouth while being raped by Mario from behind. The second image is another drawing (clearly sketched to resemble me) featuring a chained nude figure on her knees with 5 penises ejaculating on her face with the words “fuck toy” written on her torso.

Hate sites

These take a couple of forms: either the creation of specific sites dedicated to trashing you (and again, to come up in Google searches of your name) or posting your details on established forums where haters like to hang out. In Sarkeesian's case, that has involved posting her phone number and address. It's hard to see that as anything other than an attempt to intimidate her: "We know where you live".

The interactive "Beat Up Anita Sarkeesian" game

This one is so incredible I had trouble believing it existed. 

It's an interactive game, inviting players to "beat up Anita Sarkeesian".

As you click the screen, bruises and welts appear on her face.

I find this fairly disturbing - the idea that somewhere out there is a man - a 25-year-old from Sault Ste Marie, a city in Ontario, Canada, who was offended enough by Sarkeesian's Kickstarter project that he made this.

In the description accompanying the games, he adds:

Anita Sarkeesian has not only scammed thousands of people out of over $160,000, but also uses the excuse that she is a woman to get away with whatever she damn well pleases. Any form of constructive criticism, even from fellow women, is either ignored or labelled to be sexist against her.

She claims to want gender equality in video games, but in reality, she just wants to use the fact that she was born with a vagina to get free money and sympathy from everyone who crosses her path.

Some of the commenters on the game have expressed disgust, but not all of them. One wrote:

You are so right, sir. It's the execution which lets this game down.

Wikipedia Vandalism

I wrote about this in the initial post, so I'll be brief here: Sarkeesian's Wikipedia page was repeatedly hacked with crude messages and porn images, until it was locked. This went hand in hand with...

Hacking/DDOSing

Hacking is gaining entrance to someone's private data or website, while DDOSing - using "denial of service" attacks - involves sending a website's server so many requests to load the page that it crashes.

That's what happened to Sarkeesian's site as her story got shared around the world. This image was posted as a way of bragging about taking it down:

 

Personal Life

Sarkeesian is rare in sharing so much of the harassment that she has been subjected to -- and it's a brave choice for her to make. Every time I write about this subject, I get a few emails from women who've been through the same thing (and I'm sure there are men, too). They tell me much the same story: this happened to them, but they don't want to talk publicly about it, because they don't want to goad the bullies further. 

If you were Anita Sarkeesian, how would you feel right now? She's somebody with a big online presence through her website, YouTube channel and social media use. All of that has been targeted by people who - and I can't say this enough - didn't like her asking for money to make feminist videos. 

I think Sarkeesian has been incredibly courageous in sharing what's happened to her. Those obscene pictures are intended to shame her, to reduce her to her genitals, and to intimidate her. 

I'm sure there's plenty here which breaks the law - both in the UK and the US. But the solution here probably isn't a legal one: it's for everyone involved to have some basic human decency. This isn't just a few rude words, and it isn't OK. 

An online game invites players to "beat up Anita Sarkeesian".

Helen Lewis is deputy editor of the New Statesman. She has presented BBC Radio 4’s Week in Westminster and is a regular panellist on BBC1’s Sunday Politics.

OLIVER BURSTON
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How science and statistics are taking over sport

An ongoing challenge for analysts is to disentangle genuine skill from chance events. Some measurements are more useful than others.

In the mid-1990s, statistics undergraduates at Lancaster University were asked to analyse goal-scoring in a hypothetical football match. When Mark Dixon, a researcher in the department, heard about the task, he grew curious. The analysis employed was a bit simplistic, but with a few tweaks it could become a powerful tool. Along with his fellow statistician Stuart Coles, he expanded the methods, and in doing so transformed how researchers – and gamblers – think about football.

The UK has always lagged behind the US when it comes to the mathematical analysis of sport. This is partly because of a lack of publicly available match data, and partly because of the structure of popular sports. A game such as baseball, with its one-on-one contests between pitcher and batter, can be separated into distinct events. Football is far messier, with a jumble of clashes affecting the outcome. It is also relatively low-scoring, in contrast to baseball or basketball – further reducing the number of notable events. Before Dixon and Coles came along, analysts such as Charles Reep had even concluded that “chance dominates the game”, making predictions all but impossible.

Successful prediction is about locating the right degree of abstraction. Strip away too much detail and the analysis becomes unrealistic. Include too many processes and it becomes hard to pin them down without vast amounts of data. The trick is to distil reality into key components: “As simple as possible, but no simpler,” as Einstein put it.

Dixon and Coles did this by focusing on three factors – attacking and defensive ability for each team, plus the fabled “home advantage”. With ever more datasets now available, betting syndicates and sports analytics firms are developing these ideas further, even including individual players in the analysis. This requires access to a great deal of computing power. Betting teams are hiring increasing numbers of science graduates, with statisticians putting together predictive models and computer scientists developing high-speed software.

But it’s not just betters who are turning to statistics. Many of the techniques are also making their way into sports management. Baseball led the way, with quantitative Moneyball tactics taking the Oakland Athletics to the play-offs in 2002 and 2003, but other sports are adopting scientific methods, too. Premier League football teams have gradually built up analytics departments in recent years, and all now employ statisticians. After winning the 2016 Masters, the golfer Danny Willett thanked the new analytics firm 15th Club, an offshoot of the football consultancy 21st Club.

Bringing statistics into sport has many advantages. First, we can test out common folklore. How big, say, is the “home advantage”? According to Ray Stefani, a sports researcher, it depends: rugby union teams, on average, are 25 per cent more likely to win than to lose at home. In NHL ice hockey, this advantage is only 10 per cent. Then there is the notion of “momentum”, often cited by pundits. Can a few good performances give a weaker team the boost it needs to keep winning? From baseball to football, numerous studies suggest it’s unlikely.

Statistical models can also help measure player quality. Teams typically examine past results before buying players, though it is future performances that count. What if a prospective signing had just enjoyed a few lucky games, or been propped up by talented team-mates? An ongoing challenge for analysts is to disentangle genuine skill from chance events. Some measurements are more useful than others. In many sports, scoring goals is subject to a greater degree of randomness than creating shots. When the ice hockey analyst Brian King used this information to identify the players in his local NHL squad who had profited most from sheer luck, he found that these were also the players being awarded new contracts.

Sometimes it’s not clear how a specific skill should be measured. Successful defenders – whether in British or American football – don’t always make a lot of tackles. Instead, they divert attacks by being in the right position. It is difficult to quantify this. When evaluating individual performances, it can be useful to estimate how well a team would have done without a particular player, which can produce surprising results.

The season before Gareth Bale moved from Tottenham Hotspur to Real Madrid for a record £85m in 2013, the sports consultancy Onside Analysis looked at which players were more important to the team: whose absence would cause most disruption? Although Bale was the clear star, it was actually the midfielder Moussa Dembélé who had the greatest impact on results.

As more data is made available, our ability to measure players and their overall performance will improve. Statistical models cannot capture everything. Not only would complete understanding of sport be dull – it would be impossible. Analytics groups know this and often employ experts to keep their models grounded in reality.

There will never be a magic formula that covers all aspects of human behaviour and psychology. However, for the analysts helping teams punch above their weight and the scientific betting syndicates taking on the bookmakers, this is not the aim. Rather, analytics is one more way to get an edge. In sport, as in betting, the best teams don’t get it right every time. But they know how to win more often than their opponents. 

Adam Kucharski is author of The Perfect Bet: How Science and Maths are Taking the Luck Out of Gambling (Profile Books)

This article first appeared in the 28 April 2016 issue of the New Statesman, The new fascism