If you’re not a linguist, don’t do linguistic research

A paper recently published in PNAS claims that human language tends to be positive. This was news enough to make the New York Times. But there are a few fundamental problems with the paper.

Linguistics – Now with less linguists!

The first thing you might notice about the paper is that it was written by mathematicians and computer scientists. I can understand the temptation to research and report on language. We all use it and we feel like masters of it. But that’s what makes language a tricky thing. You never hear people complain about math when they only have a high-school-level education in the subject. The “authorities” on language, however, are legion. My body has, like, a bunch of cells in it, but you don’t see me writing papers on biology. So it’s not surprising that the authors of this paper make some pretty basic errors in doing linguistic research. They should have been caught by the reviewers, but they weren’t. And the editor is a professor of demography and statistics, so that doesn’t help.

Too many claims and not enough data

The article is titled “Human language reveals a universal positivity bias” but what the authors really mean is “10 varieties of languages might reveal something about the human condition if we had more data”. That’s because the authors studied data in 10 different languages and they are making claims about ALL human languages. You can’t do that. There are some 6,000 languages in the world. If you’re going to make a claim about how every language works, you’re going to have to do a lot more than look at only 10 of them. Linguists know this, mathematicians apparently do not.

On top of that, the authors don’t even look at that much linguistic data. They extracted 5,000–10,000 of the most common words from larger corpora. Their combined corpora contain the 100,000 most common words in each of their sub-corpora. That is woefully inadequate. The Brown corpus contains 1 million words and it was made in the 1960s. In this paper, the authors claim that 20,000 words are representative of English. That is, not 20,000 different words, but the 5,000 most common words in each of their English sub-corpora. So 5,000 words each from Twitter, the New York Times, music lyrics, and the Google Books Project are supposed to represent the entire English language. This is shocking… to a linguist. Not so much to mathematicians, who don’t do linguistic research. It’s pretty frustrating, but this paper is a whole lotta ¯\_(ツ)_/¯.

To complete the trifecta of missing linguistic data, take a look at the sources for the English corpora:

Corpus Word count
English: Twitter 5,000
English: Google Books Project 5,000
English: The New York Times 5,000
English: Music lyrics 5,000

If you want to make a general claim about a language, you need to have data that is representative of that language. 5,000 words from Twitter, the New York Times, some books and music lyrics does not cut it. There are hundreds of other ways that language is used, such as recipes, academic writing, blogging, magazines, advertising, student essays, and stereo instructions. Linguists use the terms register and genre to refer to these and they know that you need more than four if you want your data to be representative of the language as a whole. I’m not even going to ask why the authors didn’t make use of publicly available corpora (such as COCA for English). Maybe they didn’t know about them. ¯\_(ツ)_/¯

Say what?

Speaking of registers, the overwhelmingly most common way that language is used is speech. Humans talking to other humans. No matter how many written texts you have, your analysis of ALL HUMAN LANGUAGE is not going to be complete until you address spoken language. But studying speech is difficult, especially if you’re not a linguist, so… ¯\_(ツ)_/¯

The fact of the matter is that you simply cannot make a sweeping claim about human language without studying human speech. It’s like doing math without the numeral 0. It doesn’t work. There are various ways to go about analyzing human speech, and there are ways of including spoken data into your materials in order to make claims about a language. But to not perform any kind of analysis of spoken data in an article about Language is incredibly disingenuous.

Same same but different

The authors claim their data set includes “global coverage of linguistically and culturally diverse languages” but that isn’t really true. Of the 10 languages that they analyze, 6 are Indo-European (English, Portuguese, Russian, German, Spanish, and French). Besides, what does “diverse” mean? We’re not told. And how are the cultures diverse? Because they speak different languages and/or because they live in different parts of the world? ¯\_(ツ)_/¯

The authors also had native speakers judge how positive, negative or neutral each word in their data set was. A word like “happy” would presumably be given the most positive rating, while a word like “frown” would be on the negative end of the scale, and a word like “the” would be rated neutral (neither positive nor negative). The people ranking the words, however, were “restricted to certain regions or countries”. So, not only are 14,000 words supposed to represent the entire Portuguese language, but residents of Brazil are rating them and therefore supposed to be representative of all Portuguese speakers. Or, perhaps that should be residents of Brazil with internet access.

[Update 2, March 2: In the following paragraph, I made some mistakes. I should not have said that ALL linguists believe that rating language is an notoriously poor way of doing an analysis. Obviously I can’t speak for all the linguists everywhere. That would be overgeneralizing, which is kind of what I’m criticizing the original paper for. Oops! :O I also shouldn’t have tied the rating used in the paper and tied it to grammaticality judgments. Grammaticality judgments have been shown to be very, very consistent for English sentences. I am not aware of whether people tend to be as consistent when rating words for how positive, negative, or neutral they are (but if you are, feel free to post in the comments). So I think the criticism still stands. Some say that the 384 English-speaking participants is more than enough to rate a word’s positivity. If people rate words as consistently as they do sentences, then this is true. I’m not as convinced that people do that (until I see some research on it), but I’ll revoke my claim anyway. Either way, the point still stands – the positivity of language does not lie in the relative positive or negative nature of the words in a text (the next point I make below). Thanks to u/rusoved, u/EvM and u/noahpoah on reddit for pointing this out to me.] There are a couple of problems with this, but the main one is that having people rate language is a notoriously poor way of analyzing language (notorious to linguists, that is). If you ask ten people to rate the grammaticality of a sentence on a scale from 1 to 10, you will get ten different answers. I understand that the authors are taking averages of the answers their participants gave, but they only had 384 participants rating the English words. I wouldn’t call that representative of the language. The number of participants for the other languages goes down from there.

A loss for words

A further complication with this article is in how it rates the relative positive nature of words rather than sentences. Obviously words have meaning, but they are not really how humans communicate. Consider the sentence Happiness is a warm gun. Two of the words in that sentence are positive (happiness and warm), while only one is negative (gun). This does not mean it’s a positive sentence. That depends on your view of guns (and possibly Beatles songs). So it is potentially problematic to look at how positive or negative the words in a text are and then say that the text as a whole (or the corpus) presents a positive view of things.

Lost in Google’s Translation

The last problem I’ll mention concerns the authors’ use of Google Translate. They write

We now examine how individual words themselves vary in their average happiness score between languages. Owing to the scale of out corpora, we were compelled to use an online service, choosing Google Translate. For each of the 45 language pairs, we translated isolated words from one language to the other and then back. We then found all word pairs that (i) were translationally stable, meaning the forward and back translation returns the original word, and (ii) appeared in our corpora in each language.

This is ridiculous. As good as Google Translate may be in helping you understand a menu in another country, it is not a good translator. Asya Pereltsvaig writes that “Google Translate/Conversation do not translate. They match. More specifically, they match (bits of) the original text with best translations, where ‘best’ means most frequently found in a large corpus such as the World Wide Web.” And she has caught Google Translate using English as an intermediate language when translating from one language to another. That means that when going between two languages that are not English (say French and Russian), Google Translate will first translate the word into English and then into target language. This represents a methodological problem for the article in that using the online Google Translate actually makes their analysis untrustworthy.

 

It’s unfortunate that this paper made it through to publication and it’s a shame that it was (positively) reported on by the New York Times. The paper should either be heavily edited or withdrawn. I’m doubtful that will happen.

 

Update: In the fourth paragraph of this post (the one which starts “On top of that…”), there was some type/token confusion concerning the corpora analyzed. I’ve made some minor edits to it to clear things up. Hat tip to Ben Zimmer on Twitter for pointing this out to me.

Update (March 17, 2015): I wrote a more detailed post (more references, less emoticons) on my problems with the article in question. You can find that here.

The language of the environment: climate change vs global warming

Peter Friederici, in a recent article in the Bulletin of the Atomic Scientists, reminds us that “the language used to characterize the climate problem is far more important than is generally recognized”. Mr. Friederici’s article links to a CBS piece which states things more bluntly:

If you’re trying to get someone to care about the way the environment is changing, you might want to refer to it as “global warming,” rather than “climate change,” according to a new study

The idea is that global warming sounds more dire than climate change. Global warming is more likely to inspire people to do something drastic or force their government to take major steps, but climate change requires only minor steps to solve. So tree-hugging liberals will want to use global warming to fire up their base, while the term climate change is more amenable to the conservative approach of letting the free market sort things out. This idea has been floating around for just over ten years. It was inspired by the American political pollster Frank Luntz. While consulting the Republican Party in 2002, Luntz wrote a memo to President George W. Bush’s staff which read in part:

It’s time for us to start talking about “climate change” instead of global warming […] “Climate change” is less frightening than “global warming.” […] While global warming has catastrophic connotations attached to it, climate change suggests a more controllable and less emotional challenge.

Similar ideas about the differences between these seemingly synonymous terms have been raised in other news outlets. The two articles above also report the results of the Yale Project on Climate Change Communication, which found that:

the term “global warming” is associated with greater public understanding, emotional engagement, and support for personal and national action than the term “climate change.” […] Our findings strongly suggest that the terms global warming and climate change are used differently and mean different things in the minds of many Americans.

The report also says that:

Americans are four times more likely to say they hear the term global warming in public discourse than climate change.

The crucial element missing from all of these news articles and reports is any actual data about how often these terms are used. So let’s see if we can find that out.

Easier said than done

There are a few things to think about before we get started with the data. First, although Luntz’s recommendations were informed by his discussions with voters, we don’t know if President Bush or the Republican party actually listened to him. Reporting that Republicans were advised to use climate change instead of global warming doesn’t mean that they actually did so. Perhaps the reason for this is that it seems Bush didn’t use either term. He didn’t use them in his debates with Democratic presidential candidate John Kerry and he only used the term global climate change once in both his 2007 and 2008 State of the Union addresses:

And these technologies will help us be better stewards of the environment, and they will help us to confront the serious challenge of global climate change. – George W. Bush, State of the Union 2007

The United States is committed to strengthening our energy security and confronting global climate change. – George W. Bush, State of the Union 2008

So it’s hard to report on something happening when it didn’t happen. Ironically, Kerry used global warming once in his debate in St. Louis and twice in Coral Gables, so maybe he also got Luntz’s memo?

The second thing to think about is that reporting that Americans claim they hear global warming more often that climate change doesn’t mean that they actually do. People are really bad at accurately reporting things like this. For example, before I present the data to you, I want you to ask yourself which term you think is more common on various American news outlets. Based on the information above, do you think Fox News uses global warming more often or climate change? How about NPR and MSNBC? We’ll see whether the numbers back you up in a bit.

Finally, I’m going to take my data from the Corpus of Contemporary American English (COCA), which is a 450 million word database of speech and writing that is “suitable for looking at current, ongoing changes in the language”. I wrote about why it is better to use corpora like COCA instead of the Google N-gram viewer here.

Crunching the numbers

Let’s first see how common each of these terms are. COCA allows us to split up our data into different genres depending on where the texts come from – Spoken, Fiction, Magazine, Academic, and Newspaper – so we can look at only the genres we are interested in. For the purposes of this blog post, I’m going to look at news texts, magazine texts and spoken language data. We could also look at academic genres, but that might be problematic since according to the CBS article “Scientists have largely started using the term climate change because it more accurately describes the myriad changes to the climate […] while global warming refers to a single phenomenon.” So academics are very particular in the terms they use (seriously, we write whole sections of our theses just to define our terms and we love doing it).

Climate change
SECTION ALL SPOKEN MAGAZINE NEWSPAPER
FREQ 3136 806 1510 820
PER MIL 6.77 8.43 15.8 8.94

 

Climate change
SECTION 1990-1994 1995-1999 2000-2004 2005-2009 2010-2012
FREQ 156 174 390 1541 883
PER MIL 1.5 1.68 3.79 15.1 17.01

Here we can see the raw count (FREQ) for climate change in the Spoken, Magazine, and Newspaper sections of COCA, as well as for the term in different time periods. This is basically the number of times that the term appears in each section. We also have the frequency per million words (PER MIL), which is a way of normalizing the various sections because they each have a different amount of total words. Looking at this more accurate stat, we can see that climate change is most common in the Magazine genre and that its usage (in all genres taken together) increases over time.

Global warming
SECTION ALL SPOKEN MAGAZINE NEWSPAPER
FREQ 4031 1063 1801 1147
PER MIL 8.68 11.12 18.85 12.51

 

Global Warming
SECTION 1990-1994 1995-1999 2000-2004 2005-2009 2010-2012
FREQ 519 375 763 1854 520
PER MIL 4.99 3.63 7.41 18.17 10.02

Here we have the same stats for global warming. They show that the term is more common in all of the genres and time periods, except for 2010–2012, when the normalized frequency drops down to 10.02. In the same time period, the frequency for climate change is 17.02. Conservatives are winning!

Not so fast, tiger. We still don’t know who is using these words. Remember that global warming only refers to one of the many changes happening to our planet. Maybe those in the media picked up on this and started using climate change where it was more appropriate. So let’s cut up the genres.

Didn’t you get the memo?

So President Bush didn’t use climate change or global warming. But perhaps this idea that the opposing sides of the debate should use different terms has filtered down to the talking heads on TV. If we remember the idea that people believe they hear global warming more often than climate change in public discourse, we can look at the Spoken section of the corpus to check this claim. Here is where you can check your guesses about which term is more common on various news outlets. Below are the frequencies for climate change in the different sections of the Spoken corpus.

Climate change
Spoken # PER MILLION # TOKENS # WORDS
FOX 19.51 123 6,302,918
NPR 18.45 321 17,399,724
PBS 12.1 80 6,612,202
CNN 5.37 111 20,656,861
NBC 4.41 28 6,348,632
MSNBC 3.68 3 814,156
CBS 3.41 44 12,887,290
ABC 3.29 51 15,514,463
Indep 0.23 1 4,343,343

So climate change occurs about 19 times per million words on Fox News and about 3 times per million words on MSNBC. #TOKENS refers to the actual number of times the term appears in each subsection, while # WORDS refers to how many words make up each subsection.

Here are the same stats for global warming:

Global warming
Spoken # PER MILLION # TOKENS # WORDS
FOX 36.33 229 6,302,918
MSNBC 31.93 26 814,156
NPR 17.82 310 17,399,724
PBS 13.16 87 6,612,202
CNN 8.37 173 20,656,861
ABC 6.96 108 15,514,463
Indep 6.22 27 4,343,343
CBS 4.03 52 12,887,290
NBC 3.15 20 6,348,632

Interestingly enough, Fox news tops both lists. What’s strange, though, is that we should have expected a conservative/Republican news site like Fox to use the climate change much more than global warming, but that is not the case (they really are fair and balanced!). NPR and PBS use the terms with almost equal frequency, while the commie pinkos over at MSNBC use global warming at a much higher rate than climate change (they’re coming for your guns too!).

Everybody chill

But hold on a second. What do these numbers really tell us? First, in terms of the spoken data in COCA, global warming really is more frequent. That doesn’t account for all of the language people hear every day, but it is representative of the public discourse they are likely to hear. Only NBC used climate change more often, and even then only barely.

While we can say that the issue of climate change or global warming seems to feature more prominently on Fox News compared to CBS or ABC, we don’t really have a way of saying how these terms are used on any channel.

For that we have to look at the concordances (the passages from the texts where our search terms appear). There we can see things like Fox News’s Sean Hannity saying:

Al Gore has a financial stake in spreading global warming hysteria…
 
Al Gore’s friends in the liberal media jumped on the global warming bandwagon…
 
And finally tonight, Al Gore’ s global warming manipulation isn’t just affecting food prices…

Could it be possible that Fox News uses global warming in its scare tactics and/or liberal bashing?

We can compare this with Hannity’s use of climate change:

the University of Alaska at Fairbanks used 50,000 stimulus dollars to send 11 students to Copenhagen for the failed climate change conference…
 
Jones findings have been used for years to bolster the U.N.’s findings on climate change….

But this is probably nitpicking and it misses the larger point. The words around global warming and climate change say more about their meaning than anything else. We know how Sean Hannity feels about climate change. He says so right here:

HANNITY: Carol, I love you. You’re a great liberal. You defend your side well. If it is hot, it is global warming. If it is cold, it is global warming. If it rains, it’s global warming. If it hails, it is global warming.
 
CAROLINE HELDMAN: Gingrich and Romney are both saying that climate change is happening, are you behind them on this one?
 
HANNITY: I disagree. I don’t think the science is conclusive. Now, I do believe man has an impact on the environment. I want clean air. I want clean water. I want to leave a good planet for our kids and grandkids. But I’m not going to buy lies that are perpetrated by people […] with a political agenda.

I can’t tell if that last line was tongue in cheek, but Hannity seems to opt for another message that was in Luntz’s memo and stress that the scientific jury is still out on global warming. This has also become a conservative talking point. Obviously, the science is firmly in favor of man-made climate change, but even if we replace climate change with global warming in any of the quotes from Sean Hannity, the meaning will not change. The same goes for any of the news outlets above because the difference between these two terms is not that vast. We can all think of two terms which roughly mean the same thing, but are not interchangable in the same way that climate change and global warming are also not. (To his credit, Frank Luntz realizes the complex nature of language and his advice to President Bush on how to talk about environmental issues was nuanced and erudite.)

The idea here is to make sure not to put the cart in front of the horse. Frank Luntz advised President Bush to start using climate change instead of global warming as one way to swing the environmental issue into the Republicans’ favor. This idea would presumably trickle down to other Republicans in the government and to members of the media sympathetic to Republican views. So the first step would be to look at whether the frequency of global warming rose above that of climate change or not. Judging from the data in COCA, I would say this is not what happened. Global warming was already more common than climate change before Luntz issued his memo to President Bush, and both terms were on the rise. Luntz’s advice could certainly have been a contributing factor to climate change’s gain in usage, but it is certainly not the only one. And global warming is still more common on major American news outlets.

I don’t doubt that the terms have a difference in meaning for many people. No matter how small, there is always some semantic difference between even the closest of synonyms. These differences in meanings are based on many different factors, such as the hearer’s education, social background, nationality, familiarity with the speaker, and the context of the situation. What this boils down to is that it doesn’t matter what we call global warming. Focusing on who uses what term misses the point, even if people have more emotional reactions to one term or the other. Climate change is happening and all that matters is that we do something about it.

In the next post, I’ll do a more in depth quantitative analysis of President Bush’s use of these terms. I’ll also look at the problems with reporting Google Search statistics in research on language, which was a method employed by the Yale Project on Climate Change Communication (the same project that studied people’s feelings about the terms).

The Real Reason Short Words Are Best

In the opening of a recent Macmillan Dictionary Blog post, Robert Lane Greene quotes the editor of the Economist’s style guide, who in turn quotes Winston Churchill as saying “Short words are best, and old words, when short, are best of all.” Greene then goes on to discuss how difficult it is to write clearly. If you think you’ve heard this one before, don’t. Greene’s post is brief, practical, and a touch insightful. He believes that journalists often get a “bad rap” as writers of plain English because of the schedules they are under. I can go along with that.

Greene also says that metaphors are one way writers can improve. He says there are “three ways to use a metaphor to get ideas across, and two of them are bad.” The two bad kinds are tired metaphors and strained metaphors. Greene suggests using the best kind of metaphors, those that are “simple, clear, memorable and quite often short.”

Greene uses the conventional meaning of “metaphor,” of course, since that’s how most people still understand the term. But the updated meaning shows us that phrases like on Wednesday and the sun came out are also metaphors (for those unfamiliar, think about actually putting something on a day in the way we put something on a table). This realization of metaphors lurking all around our language is important because it adds what I think is the most important element of Greene’s (and Churchill’s and the unnamed Economist editor’s) belief that short words are best. (Don’t worry, I’m not going to get into Conceptual Metaphor Theory or Blending. I’m trying to keep your attention, believe it or not.)

Consider the opening to Greene’s post, which is really the opening to the Economist editorial:

“Short words are best, and old words, when short, are best of all.” Thus, quoting Winston Churchill, began an editorial in The Economist that consisted entirely of one-syllable words. It went on:
“AND, not for the first time, he was right: short words are best. Plain they may be, but that is their strength. They are clear, sharp and to the point. You can get your tongue round them. You can spell them. Eye, brain and mouth work as one to greet them as friends, not foes. For that is what they are.”

Churchill, Greene, and our anonymous editor aren’t the only ones that love short words. You’ll hear language gurus promoting them all over the place. It’s a common idea, but a good one. It goes: Keep it simple, stupid.

And yet, I can’t help feeling that short words are anything but “plain.” The more I think about them, the more I realize that short words are downright complex, especially ones like prepositions. For example, you know what on, of, at, in, etc. mean, but could you define them? It’s pretty tough when you think about it. Fortunately, every language has a way of expressing the notions that prepositions in English express, such as spatial relations. So when you encounter a new language, no matter if it has prepositions or suffixes doing the job of English prepositions, you will be able to understand them. That’s not plain, in my mind. Prepositions do some complicated things.

I don’t think Greene, Churchill or Mr. Editor were talking about prepositions, though. So let’s think about some other short and “plain” words. The English word set, according to Macmillan, has fifteen definitions. Stand has seventeen definitions. Run has nineteen. And that’s not counting the entries for phrases that include these words.

These are not plain words. Short words are not great because they are “to the point,” but because they are to so many points. The fact is, I can do a lot more with set, stand, and run than I can with Australopithecus, midi-chlorians, and Tyrannosaurus rex. That’s because English packs a lot of information into little tiny words.

Or, then again, maybe it doesn’t. Sometimes we’re forced to say yesterday or tomorrow, pretentious or university (two unrelated words), Superman or Professor Xavier. That’s just the way things are.

In his editorial, the Masked Editor uses literature as an example of what can be done with short words – “to be or not to be,” “The year’s at the spring/And day’s at the morn…/The lark’s on the wing;/The snail’s on the thorn.” But he’s using a double-edged sword and he’s not using it well. Sometimes people write thinigs like this:

Once upon a midnight dreary, while I pondered, weak and weary,
Over many a quaint and curious volume of forgotten lore–
While I nodded, nearly napping, suddenly there came a tapping,
As of some one gently rapping, rapping at my chamber door–
“‘Tis some visitor,” I muttered, “tapping at my chamber door–
Only this and nothing more.”

Or this:

In my younger and more vulnerable years my father gave me some advice that I’ve been turning over in my mind ever since.

Or this:

All this happened, more or less. The war parts, anyway, are pretty much true. One guy I knew really was shot in Dresden for taking a teapot that wasn’t his. Another guy I knew really did threaten to have his personal enemies killed by hired gunmen after the war. And so on. I’ve changed all the names.

So it goes. I guess some folks know what they’re doing. Neither Churchill, nor Greene, nor the artist formerly known as an editor tell us what a short word is. One syllable? Two? Three is stretching it, I guess.

The point is, Greene, Churchill, and the editor who wasn’t there are correct. Everyone should keep it simple (stupid). They should do that all the time. It’s a good rule to follow. But we should realize that in English our “short and simple” words are often only the former, not the latter. I’m not picking on Greene, who I think is a great journalist (seriously, DuckDuckGo his name, read his articles, watch his TED Talks). It’s just that his article made me think of this idea, which has probably been brewing for a while.

By the way, here are the first three sentences of The Gathering Storm, the first book in a series which won Churchill the Nobel Prize in Literature:

After the end of the World War of 1914 there was a deep conviction and almost universal hope that peace would reign in the world. This heart’s desire of all the peoples could easily have been gained by steadfastness in righteous convictions, and by reasonable common sense and prudence. The phrase “the war to end war” was on every lip, and measures had been taken to turn it into a reality.

And then there’s the rest of Hamlet’s speech that our friendly neighborhood editor used as an example. Guess what, there’s disagreement over its meaning. So much for short words. Shakespeare does away with them after the first line. To wit:

To be, or not to be, that is the question:
Whether ’tis Nobler in the mind to suffer
The Slings and Arrows of outrageous Fortune,
Or to take Arms against a Sea of troubles,
And by opposing end them: to die, to sleep
No more; and by a sleep, to say we end
The heart-ache, and the thousand Natural shocks
That Flesh is heir to? ‘Tis a consummation
Devoutly to be wished. To die to sleep,
To sleep, perchance to Dream; Ay, there’s the rub,
For in that sleep of death, what dreams may come…

[Update: Mr. Greene was kind enough to drop by and leave a link to his reply, which you can find here.]