I've been thinking more about writer Dan Brooks's post about the death of the Straw Man and the rise of the Egg Man. I'm not in love with Brooks's name for this "egg-manning" phenomenon (for one thing, googling it currently yields pictures of Peyton Manning being egged, which I'm not necessarily opposed to, but is indicative of the requirement of lexical singularity in the age of Google). So far, I've only been able to find one other use of it online (by blogger Tim Hall). But as I read more opinion pieces on both mainstream news websites like the New York Times and encounter news via social media (on Facebook and Twitter, where the person sharing the opinion piece is, in effect, endorsing the argument), I keep returning to this concept.
While straw-manning involves making up an imaginary person who holds a view opposed to your own just so that you can refute it, egg-manning involves finding a real person advancing a real view on social media just so that you can refute it. Finding an actual person essentially justifies the necessity of making your argument. There really are people who must be argued against!
Straw-manning involved assuming that someone out there disagrees with your argument. Egg-manning does not assume this, but instead makes another, typically unstated, assumption. The assumption that egg-manners make is that the person making the argument opposed to their own is part of a large, influential group of people, and that the expression of the argument is part of a larger trend. Rarely is any particular opinion held by only one person; you can search for a hashtag or a term or through various interconnected bits of the blogosphere or social news networks and usually find hundreds or maybe thousands of examples of the argument which you wish to argue against.
The next step in the assumption is the implicit or explicit linking of these hundreds or thousands of people actually stating the argument online with a larger mainstream group that, while not actually stating the argument, has stated or acted in such ways that makes it clear that they believe in some of the same things as the group that actually states the argument online. Most often in the U.S., these large mainstream groups are liberals/Democrats or conservatives/Republicans. Sometimes, they're smaller and/or more amorphous groups, like racists, sexists, Tea-Partiers, Social Justice Warriors, fraternity brothers, hipsters, or many other groups that are partially defined by their stated beliefs and actions. The largest, most amorphous group to be argued against in the U.S. right now is The Establishment. Dissimilarities between ideas held by the small group actually stating the argument online and the large group not stating the argument are ignored in favor of whatever they have in common, which, to the egg-manner, represents a coherent ideological framework.
Even if that group of people isn't large right now, it could become large in the future if its ideas are not argued against. Often times, an example from history is provided to show how quickly ideas can spread if they are not forcefully countered with another argument, a time when silence sealed the fate of a people. In the past, small, vocal groups of people got large less-vocal groups to go along with them. This is intended to make it clear that arguing against a dangerous idea is not so much an act of participating in civil discourse (and thus not subject to the informal rules of civil discourse), but a kind of duty, and that to fail to argue against it would constitute negligence of one's duty.
Sometimes, the egg-manners are correct, as many people who assume things tend to be every now and then: a dangerous view that once was fringe becomes mainstream. It can happen quickly with viral spread of ideas through social media. But other times, the egg-manners are incorrect. The view never becomes one held by more than an un-influential, fringe group online. Of course, if you are able to indefinitely postpone the point at which you believe the fringe idea will become mainstream, you can never be proven wrong, but if we were to require that the aforementioned assumptions be tested (which requires setting a finite time frame in which the fringe idea would become mainstream), I think that many assumptions like this would turn out not to be true.
Then there is the possibility of a backfiring effect: that by arguing against the fringe idea, egg-manners give legitimacy to it, thus bringing about its popularity. Not only are egg-manners raising the profile of ideas with which they argue; they are also providing more examples of opposite arguments for the egg-manners on the other side of argument to use in their egg-manning. There's likely an emotional component to the way in which egg-manning fuels that which it seeks to fight: anger from one side fuels anger from the other.
It's unclear whether egg-manners consider their arguments to be "arguments" in the traditional sense - attempts to convince another person of the truth and/or to provide support for a like-minded person who feels alone - or whether they consider them to be acts of self-expression. If it is the former, the egg-manner should care about the impact of the argument. But if it is the latter, being wrong and ineffective may not matter. It's a rhetorical maneuver that continues to interest me. If only it had a better name.
Showing posts with label rhetoric. Show all posts
Showing posts with label rhetoric. Show all posts
Thursday, May 19, 2016
Friday, July 05, 2013
The Two Webs
There are two dialogs on human behavior (which includes political, economic, and social behavior) taking place on the web. In effect, there are two webs.
One web consists of data on human behavior and commentary about this data. This one connects some folks in academia to folks in policy circles and the private sector around the world. This is Big Data.
The advantages of this mode of inquiry is that it harnesses the power of new media technologies to provide more information to help improve our predictive power when trying to understand something as enormously complex as individual and collective human behavior. Many of the critiques of quantitative study of human behavior were grounded in the fact that studies simply didn't have enough information to predict and explain the variance in behavior. Whereas other sciences (physics, chemistry) had enough information about a system to predict outcomes within that system, social sciences did not. But if we were to assume, for a moment, that a team of researchers had access to every single bit of information about every human thought, feeling, or behavior for thousands of years, then that team's ability to predict human behavior would be comparable, I think, to those in other sciences. With better predictions come better answers to questions: how best to minimize suffering, or the spread of disease, or human's impact on the environment, or whatever.
Of course, this mode of inquiry is not without its flaws (or at least perceived flaws). The collection and analysis of so much data on human behavior is viewed as being exploitative in some way: those collecting the information benefit and those who are the subjects do not. There are privacy issues: privacy is seen as a prerequisite to mental and emotional health as well as a means of maintaining some power over determining the course of your life (the actual value of privacy would be difficult to determine within this purely quantified conversation about human behavior). There is also the fear that someone with enough information about human behavior will be able to manipulate people to suit their ends (but if those collecting and analyzing data discuss findings freely and don't hoard secrets, this critique doesn't make much sense to me). It can easily be abused by people thinking there's a causal relationship when then there is only a correlational one. Statistics, when misused, create the illusion of certainty. Statistics could always be misused, but the more powerful and widespread they become, the more likely misuse might be and the damage that could be done.
You might call this the rational web. It views behaviors and events as probablistic (or it should, anyway) and it takes into account the degree to which outcomes are affected. If, say, it was determined that people's political party identification determined the amount they were paid when controlling for occupation, abilities, etc., you could find an answer to the question of how much difference it made in terms of pay (maybe Republicans make $4000 more on average when controlling for other relevant variables). In fact, there is an expectation that you answer the "how much" question.
The other web consists of rhetoric: emotional appeals to pre-existing, deeply held beliefs about human behavior. The most commonly used technique here is to select a few emotionally charged stories and try to get the audience to empathize with them. As access to the web has increased, it has become easier to find a subject (that is, the individual at the center of the story) whose situation exemplifies the pre-existing beliefs about human behavior held by the author of the story and the intended audience. Its easier to find the emotionally charged stories, the one or 3 or 100 personal stories that, when you look at parts of them the right way, support your pre-existing belief that, say, capitalism or socialism is harmful or that a certain policy does more harm than good. This technique connects some other folks in academia with the public at large, particularly disenfranchise members of the public worldwide.
Here, I think one possible danger of the wide-spread use of this technique might be that the echo chamber effect (where certain factions become less able to take the perspective of others and become more hostile towards others) gets stronger. Confirmation bias runs amok, and fewer people take into account new information in order to make better decisions. Any holder of an opinion, no matter how wacky, can find others supporting their opinion. This social support, this sense that one is not alone in one's beliefs, is essential to the persistence or propagation of an idea or ideology. Even if one is in the minority, all one has to do is draw an analogy to a group that was in the minority that eventually became the majority (the rebelling colonists in early America or civil rights crusaders in the later 1950's) in order to justify one's beliefs.
You might call this the emotional web. Rather than being probablistic, it is principled. It rarely asks the question "how racist is a statement?" or "how much privacy is being sacrificed?" or "how much freedom is the right amount of freedom"? In this way, it seems irreconcilable with the rational web.
You can't easily categorize certain websites as one or the other. Two of my favorite news sites - the New York Times and Slate - have some stories that appeal to statistics and analyses of statistics and other stories (usually editorials) that appeal to emotion by cherry-picking individual stories. In fact, a journalistic standard seems to be to combine the two: start with an individual's story and then zoom out to the larger trend. Hook the audience with emotion and convince their inner skeptic with data.
Still, I can see, at the very least, certain blogs that are more emotional or more rational, and it would be interesting to see if certain people gravitated toward either emotional/rhetoric arguments or rational/data-driven ones. Last month, I saw a great paper at the International Communication Association's annual conference by Brian Weeks titled "Partisan enclaves or diverse repertoires? A network approach to the political media environment" that suggested that the self-selection ideological bias (dems watch only MSNBC, repubs watch only Fox News) is a misconception and that personal media repertoires are more diverse, at least ideologically, than many believe. They may be diverse (or rather, balanced) in terms of their emotional or rational content as well. But maybe they are not, in which case we really are two different groups of people having two fundamentally different conversations about human behavior. Definitely an avenue worth exploring.
One web consists of data on human behavior and commentary about this data. This one connects some folks in academia to folks in policy circles and the private sector around the world. This is Big Data.
The advantages of this mode of inquiry is that it harnesses the power of new media technologies to provide more information to help improve our predictive power when trying to understand something as enormously complex as individual and collective human behavior. Many of the critiques of quantitative study of human behavior were grounded in the fact that studies simply didn't have enough information to predict and explain the variance in behavior. Whereas other sciences (physics, chemistry) had enough information about a system to predict outcomes within that system, social sciences did not. But if we were to assume, for a moment, that a team of researchers had access to every single bit of information about every human thought, feeling, or behavior for thousands of years, then that team's ability to predict human behavior would be comparable, I think, to those in other sciences. With better predictions come better answers to questions: how best to minimize suffering, or the spread of disease, or human's impact on the environment, or whatever.
Of course, this mode of inquiry is not without its flaws (or at least perceived flaws). The collection and analysis of so much data on human behavior is viewed as being exploitative in some way: those collecting the information benefit and those who are the subjects do not. There are privacy issues: privacy is seen as a prerequisite to mental and emotional health as well as a means of maintaining some power over determining the course of your life (the actual value of privacy would be difficult to determine within this purely quantified conversation about human behavior). There is also the fear that someone with enough information about human behavior will be able to manipulate people to suit their ends (but if those collecting and analyzing data discuss findings freely and don't hoard secrets, this critique doesn't make much sense to me). It can easily be abused by people thinking there's a causal relationship when then there is only a correlational one. Statistics, when misused, create the illusion of certainty. Statistics could always be misused, but the more powerful and widespread they become, the more likely misuse might be and the damage that could be done.
You might call this the rational web. It views behaviors and events as probablistic (or it should, anyway) and it takes into account the degree to which outcomes are affected. If, say, it was determined that people's political party identification determined the amount they were paid when controlling for occupation, abilities, etc., you could find an answer to the question of how much difference it made in terms of pay (maybe Republicans make $4000 more on average when controlling for other relevant variables). In fact, there is an expectation that you answer the "how much" question.
The other web consists of rhetoric: emotional appeals to pre-existing, deeply held beliefs about human behavior. The most commonly used technique here is to select a few emotionally charged stories and try to get the audience to empathize with them. As access to the web has increased, it has become easier to find a subject (that is, the individual at the center of the story) whose situation exemplifies the pre-existing beliefs about human behavior held by the author of the story and the intended audience. Its easier to find the emotionally charged stories, the one or 3 or 100 personal stories that, when you look at parts of them the right way, support your pre-existing belief that, say, capitalism or socialism is harmful or that a certain policy does more harm than good. This technique connects some other folks in academia with the public at large, particularly disenfranchise members of the public worldwide.
Here, I think one possible danger of the wide-spread use of this technique might be that the echo chamber effect (where certain factions become less able to take the perspective of others and become more hostile towards others) gets stronger. Confirmation bias runs amok, and fewer people take into account new information in order to make better decisions. Any holder of an opinion, no matter how wacky, can find others supporting their opinion. This social support, this sense that one is not alone in one's beliefs, is essential to the persistence or propagation of an idea or ideology. Even if one is in the minority, all one has to do is draw an analogy to a group that was in the minority that eventually became the majority (the rebelling colonists in early America or civil rights crusaders in the later 1950's) in order to justify one's beliefs.
You might call this the emotional web. Rather than being probablistic, it is principled. It rarely asks the question "how racist is a statement?" or "how much privacy is being sacrificed?" or "how much freedom is the right amount of freedom"? In this way, it seems irreconcilable with the rational web.
You can't easily categorize certain websites as one or the other. Two of my favorite news sites - the New York Times and Slate - have some stories that appeal to statistics and analyses of statistics and other stories (usually editorials) that appeal to emotion by cherry-picking individual stories. In fact, a journalistic standard seems to be to combine the two: start with an individual's story and then zoom out to the larger trend. Hook the audience with emotion and convince their inner skeptic with data.
Still, I can see, at the very least, certain blogs that are more emotional or more rational, and it would be interesting to see if certain people gravitated toward either emotional/rhetoric arguments or rational/data-driven ones. Last month, I saw a great paper at the International Communication Association's annual conference by Brian Weeks titled "Partisan enclaves or diverse repertoires? A network approach to the political media environment" that suggested that the self-selection ideological bias (dems watch only MSNBC, repubs watch only Fox News) is a misconception and that personal media repertoires are more diverse, at least ideologically, than many believe. They may be diverse (or rather, balanced) in terms of their emotional or rational content as well. But maybe they are not, in which case we really are two different groups of people having two fundamentally different conversations about human behavior. Definitely an avenue worth exploring.
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