40 Chapter 25.1: The Analytical Essay: Expressing Your Point of View contd.
Part 4: Chapter 25
Introducing the Essay
When revising your essay, you do not have to write it in the exact order that it will be read, as any section you work on in a given moment may appear anywhere in your final draft. In fact, many times it’s best to write the first paragraph last because we may not know how to introduce the essay until we’ve discovered and articulated the main perspectives. Eventually you will need to consider not only what your analysis consists of, but also the effect you want it to have. An essay that commands attention seems like a discussion between intelligent and aware people, in which ideas are not thrown out randomly but in a deliberate manner with each thought leading logically to the next.
For this reason, the opening paragraph or introduction should be the place where you invite your readers into this discussion, making them want to read what will follow without delineating the main content in a rigid manner rather than announcing what you plan to accomplish in the following paragraphs. Again, imagine being at a party, but this time instead of meeting someone who bores you by reciting irrelevant details of the past, and they tell you exactly what will follow in the near future:
Most likely, you and everyone else this person approaches will find an excuse to move to the other side of the room as quickly as possible. Similarly, when writers begin their essays with a step-by-step announcement of what will follow, the reader doesn’t feel the sense of anticipation that they would when the perspective unfolds more organically. Successful analytical essay writers do not begin by blatantly spelling out the main points that they will cover, but rather create leads, openings that hook the reader into wanting to read further.
One way to capture the reader’s attention is to share a story or anecdote that directly relates to the main perspective. For instance, in Chapter 19, you were introduced to a student named Jeff who was having difficulty writing an analytical paper on The Tempest in order to reveal a situation that was widely familiar and allowed the introduction of the various components of analysis.
You can also capture your reader’s attention with a quote:
“Oh what fools these mortals be” has become one of my favorite Shakespeare quotes since I began working in a restaurant. I am always amazed by the litany of ridiculous questions and requests I have to entertain during each of my shifts.
Or perhaps you can startle the reader with an unexpected twist:
The best day of my life occurred last summer. First, I was fired from my job, next my girlfriend dumped me, and finally I was kicked out of my parents’ house. All this motivated me to find a better job, a better girlfriend, and a better place to live. History is full of days like this, ones that seem tragic yet turn out to have positive consequences in the long run.
Finally, you might begin with an analogy:
Trying to write a perfect essay all at once is like attempting to ride a bike while juggling and singing opera. You are likely to crash unless you take on each task separately: invention, drafting, revising, and editing.
These are just a few suggestions for grabbing the reader’s attention and many other possibilities exist (though try to avoid beginning with a dictionary definition unless you want to provide your own twist on it). Whichever way you decide to open your paper, make certain that you go on to relate your lead-in to the main perspective or thesis you have on your subject. For instance, you wouldn’t want to start an essay by telling a joke that has nothing to do with the subject of your analysis just to get an easy laugh. However, it would be fine if you were to write:
There’s an old Sufi joke that points out that “the moon is more valuable than the sun because at night we need the light more.” Of course the joke’s humor arises from the fact that without the sun, it would be night all the time, and yet it does seem to be human nature to take advantage of that which is constant in our lives, the people and things that add warmth and light on a daily basis. In applying this to the television show, Mad Men, it’s easy to see how Donald Draper, the main character, undervalues his wife Betty in order to chase after other women. Though these other women are as inconstant as the moon, disappearing and reappearing in new forms, they give him light during the dark times in his life when he needs it the most. His affairs, however, do not provide lasting satisfaction, but only a fleeting illusion of happiness, much like the advertisements he creates for a living.
Notice how this paragraph leads the reader from the hook to the main focus of the essay without spelling out or announcing what will follow in a rigid manner. The Sufi joke is not simply thrown out for a chuckle, but to set up the thesis that the main character of the show prefers illusions to reality in both his personal life and his work. As a result, this paragraph is likely to engage our attention and make us want to read further.
Organization of the Body Paragraphs
Once you’ve led your readers into your essay, you can keep their attention by making certain that your ideas continue to connect with each other by writing transitions between your paragraphs and the main sections within them. At the beginning of a paragraph, a transition functions as a better kind of assertion than a topic sentence because it not only reveals what the paragraph will be about but also shows how it connects to the one that came before it. Take this paragraph you are currently reading as an example. Had I begun by simply writing a topic sentence like “A second strategy for effective writing is to develop effective transitions,” I would not only have ignored my own advice, but also would have missed an important point about how transitions, like opening paragraphs, function to lead readers through various aspects of our perspectives.
Before you can write effective transitions, you need to make certain that your paper is organized deliberately. To ensure this, you might try the oldest writing trick in the composition teacher’s handbook, the outline, discussed in more depth in Chapter 7. But wait until after you have already come up with most of your analysis.
To begin a paper with an outline requires that you know the content before you have a chance to consider it. Writing is a process of discovery—so how can you possibly put an order to ideas that you have not yet articulated? After you have written several paragraphs, you should read them again and write down the main points you conveyed in each of them on a separate piece of paper. Then consider how these points connect with each other and determine the best order for articulating them, creating a reverse outline from the content that you’ve already developed. Using this outline as a guide, you can then reorganize the paper and write transitions between the paragraphs to make certain that they connect and flow for the reader.
An excellent method for producing effective transitions is to underline the keywords in one paragraph and the keywords in the one that follows and then to write a sentence that contains all of these words. Try to show the relationship by adding linking words that reveal a causal connection (however, therefore, alternatively) as opposed to ones that simply announce a new idea (another, in addition to, also). For example, if I were to write about how I feel about having to pay taxes, the main idea of one paragraph could be:
Like everyone else, I hate to see so much of my paycheck disappear in taxes.
And the main idea of the paragraph that follows could be:
Without taxes, we wouldn’t have any public services.
My transition could be:
Despite the fact that I hate to pay taxes, I understand why they are necessary because without them, we wouldn’t be able to have a police force, fire department, public schools and a host of other essential services.
If you cannot find a way to link one paragraph to the next, then you should go back to your reverse outline to consider a better place to put it. And if you cannot find any other place where it fits, then you may need to cut the paragraph from your paper (but remember to save it for potential use in a future essay).
This same advice works well for writing transitions not only between paragraphs but also within them. If you do not provide transitional clues as to how the sentences link together, the reader is just as likely to get lost:
I love my two pets. My cat, Clyde is very independent. My dog, Mac, barks if I leave him alone for too long. I can leave Clyde alone for four days. I’m only taking Clyde with me to college. I have to come home twice a day to feed Mac. Mac does a lot of tricks. Clyde loves to purr on my lap.
The reason that reading this can make us tired and confused is that we can only remember a few unrelated items in a given moment. By adding transitional phrases and words, we store the items in our memory as concepts, thus making it easier to relate the previous sentences to the ones that follow. Consider how much easier it is to read an analysis with transitions between sentences:
I have two pets that I love for different reasons. For instance, I love when my cat, Clyde, sits on my lap and purrs, and I also love when my dog Mac performs many of the tricks I’ve taught him. But when I leave for college, I plan to take only Clyde with me. Unfortunately, I can only leave Mac at home for a few hours before he starts to bark; however, Clyde is very independent and can be left in my dorm for days without needing my attention.
The previous paragraph is more like a brainstorm session, while the second is more developed. This revision not only is much easier to read and recall but also gives a sense of coherence to what previously seemed liked scattered, random thoughts.
Ending the Essay
Once you’ve led your readers all the way through to the conclusion, try not to sink their enthusiasm by beginning it with the words “in conclusion.” Not only is this phrase overused and cliché, but it also sends the wrong message. The phrase implies that you have wrapped up all the loose ends on the subject and neither you nor your readers should have any need to think about it further. Rather than close off the discussion, the last paragraph should encourage it to continue by stressing how your analysis opens up new avenues for thinking about your subject (as long as these thoughts emerge from your essay and are not completely unrelated to what you wrote about before). This is the place where you should answer the “so what” question and stress the significance of your analysis, underscoring the most important insights you discovered and the implications for further thought and action.
However you choose to stress the importance of your analysis in your final paragraph, you can do so without simply repeating what you wrote before. If you have effectively led your readers through your paper, they will remember your main points and will most likely find a final summary to be repetitive and annoying. A much stronger choice is to end with a statement or observation that captures the importance of what you have written without having to repeat each of your main points. For example, in his book, City of Quartz, Mike Davis ends his discussion of how Southern Californians do not care to preserve their past by calling attention to a junkyard full of zoo and amusement park icons:
Scattered amid the broken bumper cars and ferris wheel seats are nostalgic bits and pieces of Southern California’s famous extinct amusement parks (in the pre-Disney days when admission was free or $1); the Pike, Belmont Shores, Pacific Ocean Park, and so on. Suddenly rearing up from the back of a flatbed trailer are the fabled stone elephants and pouncing lions that once stood at the gates of Selig Zoo in Eastlake (Lincoln) Park, where they had enthralled generations of Eastlake kids. I tried to imagine how a native of Manhattan would feel, suddenly discovering the New York Public Library’s stone lions discarded in a New Jersey wrecking yard. I suppose the Selig lions might be Southern California’s summary, unsentimental judgment on the value of its lost childhood. The past generations are like so much debris to be swept away by the developers’ bulldozers.
Davis, Mike. City of Quartz. New York: Vintage Books, 1990. 435
Imagine, if, instead of this paragraph, he had written:
In conclusion, I have shown many instances in which Southern Californians try to erase their past. First, I showed how they do so by constructing new buildings, concentrating especially on the Fontana region. Second, I showed…
Can’t you just feel the air leaving your sails?
In light of this advice, you have probably already discerned that certain parts of your essay will emphasize various aspects of analysis. The beginning of the paper will announce your main assertion or thesis, and the transitions in subsequent paragraphs will present corollary assertions. The bulk of your paper will most likely center on your examples and explanations, and the end will focus more on the significance. However, try to make certain that all of these elements are present to some degree throughout your essay. A long section without any significance may cause your readers to feel bored, a section without assertions may cause them to feel confused, and a section without examples or explanations may cause them to feel skeptical.
Why Good People Turn Bad Online
Gaia Vince
On the evening of 17 February 2018, Professor Mary Beard posted on Twitter a photograph of herself crying. The eminent University of Cambridge classicist, who has almost 200,000 Twitter followers, was distraught after receiving a storm of abuse online. This was the reaction to a comment she had made about Haiti. She also tweeted: “I speak from the heart (and of cource I may be wrong). But the crap I get in response just isnt on; really it isnt.”
In the days that followed, Beard received support from several high-profile people. Greg Jenner, a fellow celebrity historian, tweeted about his own experience of a Twitterstorm: “I’ll always remember how traumatic it was to suddenly be hated by strangers. Regardless of morality – I may have been wrong or right in my opinion – I was amazed (later, when I recovered) at how psychologically destabilising it was to me.”
Those tweeting support for Beard – irrespective of whether they agreed with her initial tweet that had triggered the abusive responses – were themselves then targeted. And when one of Beard’s critics, fellow Cambridge academic Priyamvada Gopal, a woman of Asian heritage, set out her response to Beard’s original tweet in an online article, she received her own torrent of abuse.
There is overwhelming evidence that women and members of ethnic minority groups are disproportionately the target of Twitter abuse. Where these identity markers intersect, the bullying can become particularly intense, as experienced by black female MP Diane Abbott, who alone received nearly half of all the abusive tweets sent to female MPs during the run-up to the 2017 UK general election. Black and Asian female MPs received on average 35 per cent more abusive tweets than their white female colleagues even when Abbott was excluded from the total.
The constant barrage of abuse, including death threats and threats of sexual violence, is silencing people, pushing them off online platforms and further reducing the diversity of online voices and opinion. And it shows no sign of abating. A survey last year found that 40 percent of American adults had personally experienced online abuse, with almost half of them receiving severe forms of harassment, including physical threats and stalking. 70 percent of women described online harassment as a “major problem”.
The business models of social media platforms, such as YouTube and Facebook, promote content that is more likely to get a response from other users because more engagement means better opportunities for advertising. But this has a consequence of favouring divisive and strongly emotive or extreme content, which can in turn nurture online “bubbles” of groups who reflect and reinforce each other’s opinions, helping propel the spread of more extreme content and providing a niche for “fake news”. In recent months, researchers have revealed many ways that various vested interests, including Russian operatives, have sought to manipulate public opinion by infiltrating social media bubbles.
Our human ability to communicate ideas across networks of people enabled us to build the modern world. The internet offers unparalleled promise of cooperation and communication between all of humanity. But instead of embracing a massive extension of our social circles online, we seem to be reverting to tribalism and conflict, and belief in the potential of the internet to bring humanity together in a glorious collaborating network now begins to seem naive. While we generally conduct our real-life interactions with strangers politely and respectfully, online we can be horrible. How can we relearn the collaborative techniques that enabled us to find common ground and thrive as a species?
“Don’t overthink it, just press the button!”
I click an amount, impoverishing myself in an instant, and quickly move on to the next question, aware that we’re all playing against the clock. My teammates are far away and unknown to me. I have no idea if we’re all in it together or whether I’m being played for a fool, but I press on, knowing that the others are depending on me.
I’m playing in a so-called public goods game at Yale University’s Human Cooperation Lab. The researchers here use it as a tool to help understand how and why we cooperate, and whether we can enhance our prosocial behaviour.
Over the years, scientists have proposed various theories about why humans cooperate so well that we form strong societies. The evolutionary roots of our general niceness, most researchers now believe, can be found in the individual survival advantage humans experience when we cooperate as a group. I’ve come to New Haven, Connecticut, in a snowy February, to visit a cluster of labs where researchers are using experiments to explore further our extraordinary impulse to be nice to others even at our own expense.
The game I’m playing, on Amazon’s Mechanical Turk online platform, is one of the lab’s ongoing experiments. I’m in a team of four people in different locations, and each of us is given the same amount of money to play with. We are asked to choose how much money we will contribute to a group pot, on the understanding that this pot will then be doubled and split equally among us.
This sort of social dilemma, like all cooperation, relies on a certain level of trust that the others in your group will be nice. If everybody in the group contributes all of their money, all the money gets doubled, redistributed four ways, and everyone doubles their money. Win–win!
“But if you think about it from the perspective of an individual,” says lab director David Rand, “for each dollar that you contribute, it gets doubled to two dollars and then split four ways – which means each person only gets 50 cents back for the dollar they contributed.”
Even though everyone is better off collectively by contributing to a group project that no one could manage alone – in real life, this could be paying towards a hospital building, or digging a community irrigation ditch – there is a cost at the individual level. Financially, you make more money by being more selfish.
Rand’s team has run this game with thousands of players. Half of them are asked, as I was, to decide their contribution rapidly – within 10 seconds – whereas the other half are asked to take their time and carefully consider their decision. It turns out that when people go with their gut, they are much more generous than when they spend time deliberating.
“There is a lot of evidence that cooperation is a central feature of human evolution,” says Rand. Individuals benefit, and are more likely to survive, by cooperating with the group. And being allowed to stay in the group and benefit from it is reliant on our reputation for behaving cooperatively.
“In the small-scale societies that our ancestors were living in, all our interactions were with people that you were going to see again and interact with in the immediate future,” Rand says. That kept in check any temptation to act aggressively or take advantage and free-ride off other people’s contributions. “It makes sense, in a self-interested way, to be cooperative.”
Cooperation breeds more cooperation in a mutually beneficial cycle. Rather than work out every time whether it’s in our long-term interests to be nice, it’s more efficient and less effort to have the basic rule: be nice to other people. That’s why our unthinking response in the experiment is a generous one.
Throughout our lives, we learn from the society around us how cooperative to be. But our learned behaviours can also change quickly.
Those in Rand’s experiment who play the quickfire round are mostly generous and receive generous dividends, reinforcing their generous outlook. Whereas those who consider their decisions are more selfish, resulting in a meagre group pot, reinforcing an idea that it doesn’t pay to rely on the group. So, in a further experiment, Rand gave some money to people who had played a round of the game. They were then asked how much they wanted to give to an anonymous stranger. This time, there was no incentive to give; they would be acting entirely charitably.
It turned out there were big differences. The people who had got used to cooperating in the first stage gave twice as much money in the second stage as the people who had got used to being selfish did. “So we’re affecting people’s internal lives and behaviour,” Rand says. “The way they behave even when no one’s watching and when there’s no institution in place to punish or reward them.”
Rand’s team have tested how people in different countries play the game, to see how the strength of social institutions – such as government, family, education and legal systems – influences behaviour. In Kenya, where public sector corruption is high, players initially gave less generously to the stranger than players in the US, which has less corruption. This suggests that people who can rely on relatively fair social institutions behave in a more public-spirited way; those whose institutions are less reliable are more protectionist. However, after playing just one round of the cooperation-promoting version of the public goods game, the Kenyans’ generosity equalled the Americans’. And it cut both ways: Americans who were trained to be selfish gave a lot less.
So is there something about online social media culture that makes some people behave meanly? Unlike ancient hunter-gatherer societies, which rely on cooperation and sharing to survive and often have rules for when to offer food to whom across their social network, social media have weak institutions. They offer physical distance, relative anonymity and little reputational or punitive risk for bad behaviour: if you’re mean, no one you know is going to see.
I trudge a couple of blocks through driving snow to find Molly Crockett’s Psychology Lab, where researchers are investigating moral decision-making in society. One area they focus on is how social emotions are transformed online, in particular moral outrage. Brain-imaging studies show that when people act on their moral outrage, their brain’s reward centre is activated – they feel good about it. This reinforces their behaviour, so they are more likely to intervene in a similar way again. So, if they see somebody acting in a way that violates a social norm, by allowing their dog to foul a playground, for instance, and they publicly confront the perpetrator about it, they feel good afterwards. And while challenging a violator of your community’s social norms has its risks – you may get attacked – it also boosts your reputation.
In our relatively peaceful lives, we are rarely faced with outrageous behaviour, so we rarely see moral outrage expressed. Open up Twitter or Facebook and you get a very different picture. Recent research shows that messages with both moral and emotional words are more likely to spread on social media – each moral or emotional word in a tweet increases the likelihood of it being retweeted by 20 per cent.
“Content that triggers outrage and that expresses outrage is much more likely to be shared,” Crockett says. What we’ve created online is “an ecosystem that selects for the most outrageous content, paired with a platform where it’s easier than ever before to express outrage”.
Unlike in the offline world, there is no personal risk in confronting and exposing someone. It only takes a few clicks of a button and you don’t have to be physically nearby, so there is a lot more outrage expressed online. And it feeds itself. “If you punish somebody for violating a norm, that makes you seem more trustworthy to others, so you can broadcast your moral character by expressing outrage and punishing social norm violations,” Crockett says. “And people believe that they are spreading good by expressing outrage – that it comes from a place of morality and righteousness.
“When you go from offline – where you might boost your reputation for whoever happens to be standing around at the moment – to online, where you broadcast it to your entire social network, then that dramatically amplifies the personal rewards of expressing outrage.”
This is compounded by the feedback people get on social media, in the form of likes and retweets and so on. “Our hypothesis is that the design of these platforms could make expressing outrage into a habit, and a habit is something that’s done without regard to its consequences – it’s insensitive to what happens next, it’s just a blind response to a stimulus,” Crockett explains.
“I think it’s worth having a conversation as a society as to whether we want our morality to be under the control of algorithms whose purpose is to make money for giant tech companies,” she adds. “I think we would all like to believe and feel that our moral emotions, thoughts and behaviours are intentional and not knee-jerk reactions to whatever is placed in front of us that our smartphone designer thinks will bring them the most profit.”
On the upside, the lower costs of expressing outrage online have allowed marginalised, less-empowered groups to promote causes that have traditionally been harder to advance. Moral outrage on social media played an important role in focusing attention on the sexual abuse of women by high-status men. And in February 2018, Florida teens railing on social media against yet another high-school shooting in their state helped to shift public opinion, as well as shaming a number of big corporations into dropping their discount schemes for National Rifle Association members.
“I think that there must be ways to maintain the benefits of the online world,” says Crockett, “while thinking more carefully about redesigning these interactions to do away with some of the more costly bits.”
Someone who’s thought a great deal about the design of our interactions in social networks is Nicholas Christakis, director of Yale’s Human Nature Lab, located just a few more snowy blocks away. His team studies how our position in a social network influences our behaviour, and even how certain influential individuals can dramatically alter the culture of a whole network.
The team is exploring ways to identify these individuals and enlist them in public health programmes that could benefit the community. In Honduras, they are using this approach to influence vaccination enrolment and maternal care, for example. Online, such people have the potential to turn a bullying culture into a supportive one.
Corporations already use a crude system of identifying so-called Instagram influencers to advertise their brands for them. But Christakis is looking not just at how popular an individual is, but also their position in the network and the shape of that network. In some networks, like a small isolated village, everyone is closely connected and you’re likely to know everyone at a party; in a city, by contrast, people may be living more closely by as a whole, but you are less likely to know everyone at a party there. How thoroughly interconnected a network is affects how behaviours and information spread around it, he explains.
“If you take carbon atoms and you assemble them one way, they become graphite, which is soft and dark. Take the same carbon atoms and assemble them a different way, and it becomes diamond, which is hard and clear. These properties of hardness and clearness aren’t properties of the carbon atoms – they’re properties of the collection of carbon atoms and depend on how you connect the carbon atoms to each other,” he says. “And it’s the same with human groups.”
Christakis has designed software to explore this by creating temporary artificial societies online. “We drop people in and then we let them interact with each other and see how they play a public goods game, for example, to assess how kind they are to other people.”
Then he manipulates the network. “By engineering their interactions one way, I can make them really sweet to each other, work well together, and they are healthy and happy and they cooperate. Or you take the same people and connect them a different way and they’re mean jerks to each other and they don’t cooperate and they don’t share information and they are not kind to each other.”
In one experiment, he randomly assigned strangers to play the public goods game with each other. In the beginning, he says, about two-thirds of people were cooperative. “But some of the people they interact with will take advantage of them and, because their only option is either to be kind and cooperative or to be a defector, they choose to defect because they’re stuck with these people taking advantage of them. And by the end of the experiment everyone is a jerk to everyone else.”
Christakis turned this around simply by giving each person a little bit of control over who they were connected to after each round. “They had to make two decisions: am I kind to my neighbours or am I not; and do I stick with this neighbour or do I not.” The only thing each player knew about their neighbours was whether each had cooperated or defected in the round before. “What we were able to show is that people cut ties to defectors and form ties to cooperators, and the network rewired itself and converted itself into a diamond-like structure instead of a graphite-like structure.” In other words, a cooperative prosocial structure instead of an uncooperative structure.
In an attempt to generate more cooperative online communities, Christakis’s team have started adding bots to their temporary societies. He takes me over to a laptop and sets me up on a different game. In this game, anonymous players have to work together as a team to solve a dilemma that tilers will be familiar with: each of us has to pick from one of three colours, but the colours of players directly connected to each other must be different. If we solve the puzzle within a time limit, we all get a share of the prize money; if we fail, no one gets anything. I’m playing with at least 30 other people. None of us can see the whole network of connections, only the people we are directly connected to – nevertheless, we have to cooperate to win.
I’m connected to two neighbours, whose colours are green and blue, so I pick red. My left neighbour then changes to red so I quickly change to blue. The game continues and I become increasingly tense, cursing my slow reaction times. I frequently have to switch my colour, responding to unseen changes elsewhere in the network, which send a cascade of changes along the connections. Time’s up before we solve the puzzle, prompting irate responses in the game’s comments box from remote players condemning everyone else’s stupidity. Personally, I’m relieved it’s over and there’s no longer anyone depending on my cackhanded gaming skills to earn money.
Christakis tells me that some of the networks are so complex that the puzzle is impossible to solve in the timeframe. My relief is shortlived, however: the one I played was solvable. He rewinds the game, revealing for the first time the whole network to me. I see now that I was on a lower branch off the main hub of the network. Some of the players were connected to just one other person, but most were connected to three or more. Thousands of people from around the world play these games on Amazon Mechanical Turk, drawn by the small fee they earn per round. But as I’m watching the game I just played unfold, Christakis reveals that three of these players are actually planted bots. “We call them ‘dumb AI’,” he says.
His team is not interested in inventing super-smart AI to replace human cognition. Instead, the plan is to infiltrate a population of smart humans with dumb-bots to help the humans help themselves.
“We wanted to see if we could use the dumb-bots to get the people unstuck so they can cooperate and coordinate a little bit more – so that their native capacity to perform well can be revealed by a little assistance,” Christakis says. He found that if the bots played perfectly, that didn’t help the humans. But if the bots made some mistakes, they unlocked the potential of the group to find a solution.
“Some of these bots made counter-intuitive choices. Even though their neighbours all had green and they should have picked orange, instead they also picked green.” When they did that, it allowed one of the green neighbours to pick orange, “which unlocks the next guy over, he can pick a different colour and, wow, now we solve the problem”. Without the bot, those human players would probably all have stuck with green, not realising that was the problem. “Increasing the conflicts temporarily allows their neighbours to make better choices.”
By adding a little noise into the system, the bots helped the network to function more efficiently. Perhaps a version of this model could involve infiltrating the newsfeeds of partisan people with occasional items offering a different perspective, helping to shift people out of their social media comfort-bubbles and allow society as a whole to cooperate more.
Much antisocial behaviour online stems from the anonymity of internet interactions – the reputational costs of being mean are much lower than offline. Here, bots may also offer a solution. One experiment found that the level of racist abuse tweeted at black users could be dramatically slashed by using bot accounts with white profile images to respond to racist tweeters. A typical bot response to a racist tweet would be: “Hey man, just remember that there are real people who are hurt when you harass them with that kind of language.” Simply cultivating a little empathy in such tweeters reduced their racist tweets almost to zero for weeks afterwards.
Another way of addressing the low reputational cost for bad behaviour online is to engineer in some form of social punishment. One game company, League of Legends, did that by introducing a “Tribunal” feature, in which negative play is punished by other players. The company reported that 280,000 players were “reformed” in one year, meaning that after being punished by the Tribunal they had changed their behaviour and then achieved a positive standing in the community. Developers could also build in social rewards for good behaviour, encouraging more cooperative elements that help build relationships.
Researchers are already starting to learn how to predict when an exchange is about to turn bad – the moment at which it could benefit from pre-emptive intervention. “You might think that there is a minority of sociopaths online, which we call trolls, who are doing all this harm,” says Cristian Danescu-Niculescu-Mizil, at Cornell University’s Department of Information Science. “What we actually find in our work is that ordinary people, just like you and me, can engage in such antisocial behaviour. For a specific period of time, you can actually become a troll. And that’s surprising.”
It’s also alarming. I mentally flick back through my own recent tweets, hoping I haven’t veered into bullying in some awkward attempt to appear funny or cool to my online followers. After all, it can be very tempting to be abusive to someone far away, who you don’t know, if you think it will impress your social group.
Danescu-Niculescu-Mizil has been investigating the comments sections below online articles. He identifies two main triggers for trolling: the context of the exchange – how other users are behaving – and your mood. “If you’re having a bad day, or if it happens to be Monday, for example, you’re much more likely to troll in the same situation,” he says. “You’re nicer on a Saturday morning.”
After collecting data, including from people who had engaged in trolling behaviour in the past, Danescu-Niculescu-Mizil built an algorithm that predicts with 80 per cent accuracy when someone is about to become abusive online. This provides an opportunity to, for example, introduce a delay in how fast they can post their response. If people have to think twice before they write something, that improves the context of the exchange for everyone: you’re less likely to witness people misbehaving, and so less likely to misbehave yourself.
The good news is that, in spite of the horrible behaviour many of us have experienced online, the majority of interactions are nice and cooperative. Justified moral outrage is usefully employed in challenging hateful tweets. A recent British study looking at anti-Semitism on Twitter found that posts challenging anti-Semitic tweets are shared far more widely than the anti-Semitic tweets themselves. Most hateful posts were ignored or only shared within a small echo chamber of similar accounts. Perhaps we’re already starting to do the work of the bots ourselves.
As Danescu-Niculescu-Mizil points out, we’ve had thousands of years to hone our person-to-person interactions, but only 20 years of social media. “Offline, we have all these cues from facial expressions to body language to pitch… whereas online we discuss things only through text. I think we shouldn’t be surprised that we’re having so much difficulty in finding the right way to discuss and cooperate online.”
As our online behaviour develops, we may well introduce subtle signals, digital equivalents of facial cues, to help smooth online discussions. In the meantime, the advice for dealing with online abuse is to stay calm, it’s not your fault. Don’t retaliate but block and ignore bullies, or if you feel up to it, tell them to stop. Talk to family or friends about what’s happening and ask them to help you. Take screenshots and report online harassment to the social media service where it’s happening, and if it includes physical threats, report it to the police.
If social media as we know it is going to survive, the companies running these platforms are going to have to keep steering their algorithms, perhaps informed by behavioural science, to encourage cooperation rather than division, positive online experiences rather than abuse. As users, we too may well learn to adapt to this new communication environment so that civil and productive interaction remains the norm online as it is offline.
“I’m optimistic,” Danescu-Niculescu-Mizil says. “This is just a different game, and we have to evolve.”
References
The New Statesman tracked abusive tweets sent to women MPs in the run-up to the 2017 UK general election.
A 2017 Pew Research Center survey showed that 41 percent of Americans have experienced online harassment.
Researchers at University College London investigated what hunter-gatherers can tell us about social networks.
Research published in PNAS showed that emotion influences how content spreads online.
In 2016, Ars Technica reported a study showing how Twitter bots can reduce racist slurs.
Community Security Trust, a charity that protects British Jews from anti-Semitism, published a report about anti-Semitic content on Twitter in 2018.
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Gaia Vince is a journalist, broadcaster, and author who specialises in science, the environment, and social issues. Her article first appeared in Mosaic.
Why Good People Turn Bad Online by Gaia Vince is licensed under a Creative Commons Attribution 4.0 International License.