Editor’s note: Nearly a decade ago, freshly minted Ph.D. in hand, C.W. Anderson wrote his first Nieman Lab post. Today, several books and tens of thousands of tweets later, he’s a professor of media and communication at the University of Leeds. Last fall, he published his latest book, an examination of the history of data journalism that goes back to the 19th century.
Lívia Vieira, a Brazilian journalism researcher and professor, recently interviewed Chris for the Brazilian media publication Farol Jornalismo, and I’m happy to present a lightly edited English-language version of it. They discuss, among other things, the role metrics play in contemporary newsrooms, the state of “post-industrial journalism,” and paths to take in doing academic research on journalism. (You can find the Portuguese version here.)
So the question now, I guess, is: Has it gone too far? Are journalists too dependent on clicks, or too dependent on metrics, so that they make too many of their decisions because of them? I think it’s important that journalists know what their audience wants and what their audience needs in order to be informed. Any journalist who would claim that they don’t need to know what their audience wants to read is deluding themselves.
But I do think that journalism as a professional category needs to make decisions for itself about what it thinks is important. That’s what makes a professional community: It’s a group of people who have a certain amount of expertise and then can decide for themselves what the important thing is. Journalism as a professional community is highly threatened — and that’s a problem, because it’s important for journalists to be professionals.
So I don’t think clicks and metrics alone are terrible for journalism. But I do think that insofar as they contribute to a larger deprofessionalization of this very important occupation, they can be part of a bad trend. The short answer would be: Journalists need to know what their audience thinks, but they shouldn’t become slaves to what their audience thinks. And they need to continue thinking for themselves about what their audience needs.
If you talk to people at The New York Times or The Guardian, they will tell you, ‘No, we aren’t like that at all — we use metrics as one of many other things and we certainly aren’t living in this culture of the click.” But many of the more local and more commercial news organizations are absolutely still more governed by reader metrics. I think of the average British tabloid: I would be very surprised if they did not still have largely clickbait view. That’s different than at elite news organizations — which tend to be the kind of news organizations that academics study.
The other thing I will say is: Journalists at these elite news organizations are trained to say the right things about metrics if you ask them. They’re trained to say very smart things. So you can interview someone and they can explain to you at length about, “Oh, well, we’re not governed by these things.” But I don’t think we have had enough ethnography of how this all works — apart from your own work, Caitlin Petre’s work, a few other people who have really done ethnographies of this stuff. And I think when you actually watch what journalists do, it may be different than what they say.
For an ethnographer, the key thing is to always get what the person thinks is happening to them — what they think the Internet is doing, what they think technology is doing, what they think metrics are doing. It is in some ways, for an ethnographer, as important if not more important than what those things are actually doing in reality.
So to me, ethnography is to some degree always going to be concerned with what we might call the hermeneutical aspects of research — which is understanding how people make sense of the world. It’s not necessarily understanding the world, but it is understanding how people make sense of the world. Because ethnography allows you to spend a lot of time with people and allows you to watch what they do, not simply listen to what they say, it provides a unique access to the culture of a particular place. That’s the main value-added that ethnography brings.
The idea was: What if we combined a historical perspective with an ethnographic perspective? So we can watch how the path of the newsroom or the path of the journalism profession changes as it passes through time.
The thing about digital technology is that what happened five years ago is already history. We need to be very conscious of that and always remember that our present orientation needs to be leavened to some degree by looking at the historical time period.
So in some ways, certain aspects of data journalism are more like they were a hundred years ago that might they were 50 years ago. Because our understanding of data has changed and our understanding of what we mean by data has changed. The idea of “big data” has led to a lot of changes. So that was one of the main things I learned, which is that in some ways we’re kind of going back to the past to understand the present.
[From the book’s description: “In this book, C.W. Anderson traces the genealogy of data journalism and its material and technological underpinnings, arguing that the use of data in news reporting is inevitably intertwined with national politics, the evolution of computable databases, and the history of professional scientific fields. It is impossible to understand journalistic uses of data, Anderson argues, without understanding the oft-contentious relationship between social science and journalism. It is also impossible to disentangle empirical forms of public truth-telling without first understanding the remarkably persistent Progressive belief that the publication of empirically verifiable information will lead to a more just and prosperous world. Anderson considers various types of evidence (documents, interviews, informational graphics, surveys, databases, variables, and algorithms) and the ways these objects have been used through four different eras in American journalism (the Progressive Era, the interpretive journalism movement of the 1930s, the invention of so-called ‘precision journalism,’ and today’s computational journalistic moment) to pinpoint what counts as empirical knowledge in news reporting. Ultimately the book shows how the changes in these specifically journalistic understandings of evidence can help us think through the current ‘digital data moment’ in ways that go beyond simply journalism.” —Ed.]
[The term “post-industrial journalism” was coined by Doc Searls to describe journalism that is “no longer organized around the norms of proximity to the machinery of production.” —Ed.]
Eventually new structures, new routines, new professional codes, new organizational practices will solidify. I don’t think there’s anything inherent to the Internet that means that we’re going to be living in a state of chaos forever.
That said, though, if you ask me a year ago what I thought the new model would be, I probably would have told you BuzzFeed or Vice. And they just have had tremendous difficulties. So maybe it will be chaos for longer than I thought, because it did seem to me two or three years ago that we were starting to see some stability.
So right now, the business model of news in the U.S. seems to be Trump plus rolling political scandals. Is that sustainable or will everyone just lose their minds? A lot of the content has similar rhythms, which is “one stupid thing that Trump said today,” “what is Bob Mueller doing.” That doesn’t mean it’s not important — but you do have to wonder how long we can keep up before people have a nervous breakdown.
This is something that Jay Rosen has also talked about a lot. Do you respond by saying: “No, we’re not the enemy, we are just objective journalists doing our job” — which I think is the wrong choice? Or do you say: “To the degree that you, as the president, are against basic liberal democratic ideals, we are your enemy”? That’s a different way of saying we’re going to take sides. That’s different from saying that the press is going to support Democrats, or support liberals, or support the Worker’s Party.
What you can say, as the press, is: “We’re in favor of truth. We’re in favor of kindness. We’re in favor of reasonable conversation, the ability to disagree. We are against racism. We’re against dictatorships.” To me, that’s different than saying that “we’re in favor of this particular political party.” That’s saying that we’re on the side of certain ideals, and to the degree that we have a leadership that violates those ideals, then we are its enemy. I think that is something that the Brazilian press can learn from the U.S. press.
In the end, the most important thing is that you have a big question. A big question that is going to take you a few decades to answer. If you have a big question, then it becomes less important whether you write a lot or a little — or if sometimes you blog, you tweet or you write books or academic papers — because it’s all geared towards answering the big question.
A lot of the time scholars don’t have a big question. They’re not trained to have a big question. They’re trained to have smaller questions. When you have smaller questions, then all you can do is publish. The way that you show that you’re valuable and that you’re worthy is by publishing a lot. If you have a big question, you will publish the right amount to be successful, no matter how much you publish. If you have a big question and you’re always trying to answer it in different ways, different formats, and different methods, you will always publish exactly the right amount. You won’t have to worry about meeting a quota. In the end, it’s all about the question, a big one that will take you a long time to figure out. I’ve had a big question since I started.