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The Splinters Of Our Discontent: A Review Of Network Propaganda


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2019 Jan 20, 1:17am   549 views  1 comment

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Years before most of us thought Donald Trump would have a shot at the presidency, the Cato Institute's Julian Sanchez put a name on a problem he saw in American conservative intellectual culture. Sanchez called it "epistemic closure," and he framed the problem this way:

"One of the more striking features of the contemporary conservative movement is the extent to which it has been moving toward epistemic closure. Reality is defined by a multimedia array of interconnected and cross promoting conservative blogs, radio programs, magazines, and of course, Fox News. Whatever conflicts with that reality can be dismissed out of hand because it comes from the liberal media, and is therefore ipso facto not to be trusted. (How do you know they're liberal? Well, they disagree with the conservative media!) This epistemic closure can be a source of solidarity and energy, but it also renders the conservative media ecosystem fragile."

Sanchez's comments didn't trigger any kind of real schism in conservative or libertarian circles. Sure, there was some heated debate among conservatives, and a few conservative commentators, like David Frum, Bruce Bartlett, and the National Review's Jim Manzi, acknowledged that there might be some merit to Sanchez's critique. But for most people, this argument among conservatives about epistemic closure hardly counted as serious news.

But the publication last fall of Network Propaganda: Manipulation, Disinformation, and Radicalization in American Politics by Yochai Benkler, Robert Faris, and Hal Roberts—more than eight years after the original "epistemic closure" debate erupted—ought to make the issue hot again.

This long, complex, yet readable study of the American media ecosystem in the run-up to the 2016 election (as well as the year afterwards) demonstrates that the epistemic-closure problem has generated what the authors call an "epistemic crisis" for Americans in general. The book also shows that our efforts to understand current political division and disruptions simplistically—either in terms of negligent and arrogant platforms like Facebook, or in terms of Bond-villain malefactors like Cambridge Analytica or Russia's Internet Research Agency—are missing the forest for the trees. It's not that the social media platforms are wholly innocent, and it's not that the would-be warpers of voter behavior did nothing wrong (or had no effect). But the seeds of the unexpected outcomes in the 2016 U.S. elections, Network Propaganda argues, were planted decades earlier, with the rise of a right-wing media ecosystem that valued loyalty and confirmation of conservative (or "conservative") values and narratives over truth.

Now, if you're a conservative, you may be reading this broad characterization of Network Propaganda as an attack on conservatism itself. Here are four reasons you shouldn't fall into that trap! First, nothing in this book challenges what might be called core conservative values (at least as they have been understood for most of the last 100 years or so). Those values typically have included favoring limited government over expansive government, preferring economic growth and rights to property over promoting equity and equality for their own sake, supporting business flexibility over labor and governmental demands, committing to certain approaches to tax policy, and so forth. Nothing in Network Propaganda is a criticism of substantive conservative values like these, or even of what may increasingly be taken as "conservative" stances in the Trump era (nationalism or protectionism or opposition to immigration, say). The book doesn't take a position on traditional liberal or progressive political stances either.

Second, nothing in the book discounts the indisputable fact that individuals and media entities on the left, and even in the center, have their own sins and excesses to account for. In fact, the more damning media criticisms in the book are aimed squarely at the more traditional journalistic institutions that made themselves more vulnerable to disinformation and distorted narratives in the name of "objectivity." Where right-wing media set out to reinforce conservative identity and narratives—doing, in fact, what they more or less always promised they were going to do—the institutional press of the left and the center frequently let their superficial commitment to objectivity result in the amplification of disinformation and distortions.

Third, there are philosophical currents on the left as well as the right that call the whole notion of objective facts and truth into question—that consider all questions of fact to represent political judgments rather than anything that might be called "factual" or "truthful." As the authors put it, reform of our media ecosystems "will have to overcome not only right-wing propaganda, but also decades of left-wing criticism of objectivity and truth-seeking institutions." Dedication to truth-seeking is, or ought to be, a transpartisan value.

Which leads us to the fourth reason conservatives should pay attention to Network Propaganda, which is the biggest one. The progress of knowledge, and of problem-solving in the real world, requires us, regardless of political preferences and philosophical approaches, to come together in recognizing the value of facts. Consider: if progressives had cocooned themselves in a media ecosystem that had cut itself from the facts—that valued tribal loyalty and shared identity over mere factual accuracy—conservatives and centrists would be justified in pointing out not merely that the left's media were unmoored but also that its insistence on doctrinal purity in the face of factual disproof was positively destructive.

But the massive dataset and analyses offered by Benkler, Faris, and Roberts in Network Propaganda demonstrate persuasively that the converse distortion has happened. Specifically, the authors took about four million online stories regarding the 2016 election or national politics generally and analyzed them through Media Cloud, a joint technological project developed by Harvard's Berkman Klein Center and MIT's Center for Civil Media over the course of the last decade. Media Cloud enabled the authors to study not only where the stories originate but also how they were linked and propagated, and how the various entities in our larger media ecosystem link to one another. The Media Cloud analytical system made it possible to study news sites, including the website versions of newspapers like the New York Times and the Wall Street Journal, along with the more politically focused websites on the left and right, like Daily Kos and Breitbart. The system also enabled the authors to study how the stories were retweeted and shared on Facebook, Twitter, and other social media, as well as how, in particular instances, television coverage supplemented or amplified online stories.

More: https://www.techdirt.com/articles/20190117/15361941413/splinters-our-discontent-review-network-propaganda.shtml

Before commenting, read the comments on this piece - looks like a typical PatNet back and forth with no shortage of insults etc.

#Media #Politics

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1   Ceffer   2019 Jan 20, 2:10am  

"But the massive dataset and analyses offered by Benkler, Faris, and Roberts in Network Propaganda demonstrate persuasively that the converse distortion has happened. Specifically, the authors took about four million online stories regarding the 2016 election or national politics generally and analyzed them through Media Cloud, a joint technological project developed by Harvard's Berkman Klein Center and MIT's Center for Civil Media over the course of the last decade. Media Cloud enabled the authors to study not only where the stories originate but also how they were linked and propagated, and how the various entities in our larger media ecosystem link to one another. The Media Cloud analytical system made it possible to study news sites, including the website versions of newspapers like the New York Times and the Wall Street Journal, along with the more politically focused websites on the left and right, like Daily Kos and Breitbart. The system also enabled the authors to study how the stories were retweeted and shared on Facebook, Twitter, and other social media, as well as how, in particular instances, television coverage supplemented or amplified online stories. "

Oh, Gee, another computer driven data mining operation. Those are never guilty of selective bias because, well, IT'S DATA, and so much of it. Also, an 'objective' computer is analyzing it, not 'subjective' people. Yeah, right.

Another way to pass off bullshit as reality. How exactly does a computer go about evaluating value systems, much less determining the underlying validity of it's so-called data?

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