Showing posts with label nudge. Show all posts
Showing posts with label nudge. Show all posts

Monday, March 08, 2021

Polarizing Filters

In photography, a polarizing filter can manage your reflections and darken your skies: this may be a good metaphor for what happens in media and communications. While filtering and polarization were (and remain) well-known phenomena within traditional media, there are enhanced mechanisms on the Internet, whose effects are still not fully understood.

The term filter bubble was introduced by Eli Pariser around 2010, drawing on earlier work by Nicholas Negroponte and Cass Sunstein, to refer to a phenomenon previously known as echo chamber or information cocoon. If you get all your news from a single partisan source - for example, a single newspaper or TV channel - you could easily get a one-sided view of what is going on in the world. In the USA, the CNN audience doesn't overlap very much with the Fox News audience. Barack Obama is one of many who have expressed concerns about the consequences of this for American democracy.

The concept is easy enough to challenge if you take it too literally.

The images of chambers and bubbles conjures up hermetically sealed spaces where only politically like-minded participants connect and only ideologically orthodox information circulates, but this seems highly improbable. ... We cluster but we do not segregate. Bruns pp 95-96

Or if you imagine that filter bubbles are a technologically determined problem associated exclusively with the Internet. As Ignas Kalpokas notes in his review of Bruns, 

It is easy to slide into a form of fundamentalism, particularly when researching something as pervasive as social media, by simply assuming that the architecture and policies of the dominant platforms determine everything. ... Once we attribute causation to technology, we can comfortably and conveniently avoid responsibility for any societal ills and the ensuing necessity to put some effort towards ameliorating them. Kalpokas

However, the problem identified by Sunstein twenty years ago was not just about filters and fragmentation, but also about group polarization - the fact that there are internal and external forces that push individuals and groups to adopt ever more extreme positions. This is akin to Bateson's notion of schismogenesis. Axel Bruns stresses the importance of this.

The problem, in short, is polarisation, not fragmentation, and such polarisation is not the result of our use of online and social media platforms. Bruns p 105
I agree with his first point, but I want to qualify his second point. While the internet is certainly not the only cause of political polarization, its influence cannot be completely discounted. The techno-sociologist Zeynep Tufekci has identified a specific mechanism on the Internet that appears to have a polarizing effect similar to that predicted by Sunstein - the recommendation algorithms on social media designed to keep users engaged for as long as possible, showing them progressively more outrageous and extreme content if that's what it takes. She argues that this is built into the business model of the tech giants. 

This is consistent with something Des Freedman noted in 2012,

The digital sphere is not a parallel economy but one that accentuates the tensions between the creativity and collaboration of a generative system and the hierarchies and polarisation prioritised by a system that rests, above all else, on the pursuit of profit. Curran Fenton Freedman p 92 my emphasis

In the same volume, Natalie Fenton noted Sunstein's argument that group polarisation is likely to become more extreme with time (p 168).

Many of the comments under Dr Tufekci's CBC interview are from what one might call nudge denialists - people who point out how easy it is to switch off the auto-play function on YouTube, and who claim never to be influenced by recommendations from the tech giants. Yeah, right. But that's not the point. Nobody said you can nudge all of the people all of the time. But the tech giants are certainly capable of nudging some of the people some of the time, at massive scale.

As a former computer programmer herself, Tufekci is able to explain the extraordinary power of the recommendation algorithms deployed by the tech giants. The tech giants choose to develop and use these algorithms in the pursuit of profit; and legislators and regulators around the world may or may not choose to permit or control this. So this deployment is not a matter of technological determinism but is subject to social and political choice. I wonder who is best placed to nudge governments to do the right thing?

 

Update

A few days after I posted the above, further details emerged about Facebook's approach to polarization, including a detailed exposé by @KarenHao (click on her name for Twitter discussion), which in turn appears to have prompted an internal Facebook meeting on Polarization and our Products reported by Ryan Mac and Craig Silverman.


Another Update

John Naughton's latest article has alerted me to a quantitative study of internet usage and polarization, published in 2017, which appears to show that the effects of political polarization are most marked in those demographic groups with comparatively less internet use.

While this evidence provides a warning not to overstate the Internet Causes Polarization thesis, it doesn't fully refute it either. A plausible explanation of these findings is that those who are less familiar with the workings of the Internet may be more vulnerable to its effects. I look forward to seeing further empirical studies.




Levi Boxell, Matthew Gentzkow and Jesse M. Shapiro, Greater Internet use is not associated with faster growth in political polarization among US demographic groups (PNAS, 114/40, 3 October 2017) HT John Naughton, Is online advertising about to crash, just like the property market did in 2008? (The Guardian, 27 March 2021)

Axel Bruns, Are Filter Bubbles Real? (Polity Press, 2019)

James Curran, Natalie Fenton and Des Freedman, Misunderstanding the Internet (1st edition, Routledge 2012). Note that some of this material didn't make it into the 2016 second edition.

Karen Hao, How Facebook got addicted to spreading misinformation (MIT Technology Review, 11 March 2021)

Ignas Kalpokas, Book Review: Are Filter Bubbles Real? by Axel Bruns (LSE Blogs, 17 January 2020)

Ryan Mac, Facebook: Polarization and Our Products (Twitter, 11 March 2021)

Ryan Mac and Craig Silverman, Facebook is good for America actually, says Facebook executive (Buzzfeed News, 12 March 2021)

Thomas Nagel, Information Cocoons (London Review of Books, 5 July 2001)

Eli Pariser, Did Facebook's big new study kill my filter bubble thesis? (Medium/Backchannel, 7 May 2015)

Cass Sunstein, The Law of Group Polarization (John M. Olin Program in Law and Economics Working Paper No. 91, 1999)

Zeynep Tufekci, YouTube, the Great Radicalizer (New York Times, 10 March 2018). Is YouTube Radicalizing You? (CBC via YouTube, 22 April 2018)

 

Wikipedia: Echo Chamber (Media), Filter Bubble, Schismogenesis,

Related posts: Social Networks and Received Opinion (July 2010), The Pursuit of Truth (December 2016), Polarization (November 2018), Technological Determinism (December 2020), Optimizing for Outrage (March 2021), Bias or Balance (March 2021)

Saturday, November 10, 2018

Polarization

Some of my posts recently have mentioned the work of @zeynep and others on the polarizing effects of social media platforms, especially YouTube.

But this phenomenon is not restricted to the Internet: traditional mass media is subject to similar effects. Following an extraordinary confrontation between CNN and the White House, Michael Massing reviews CNN's political coverage and finds it to be extremely one-sided. It appears that Trump and CNN each benefits from constantly attacking the other. Massing calls this codependency, but I believe a more accurate term would be symmetrical schismogenesis. This concept, originally developed by Bateson and elaborated by some of his followers including Jackson and Watzlawick, refers to the situation where two parties mirror each other, the behaviour of each serving to reinforce the behaviour of the other.

Who benefits from this polarization? The media platforms (YouTube, CNN) are essentially selling eyeballs to companies that want to advertise stuff. This is not just about the number of eyeballs but the number of eyeballs in relevant demographic categories. Thus for example gender or socioeconomic polarization may be helpful to this mission if it helps produce an audience that is particularly receptive to whatever is being advertised. However, polarization can also produce effects that are unwelcome to risk-averse advertisers - for example, associating their brands with controversial content, or even exposing them to the risk of consumer boycotts.

Writing in 2013, Markus Prior notes the correlation between cable news consumption and political polarization, but also notes the way that increasing choice on cable networks allows non-partisan viewers to avoid watching cable news altogether. Thus the apparent polarization would appear to be a consequence of a self-selecting audience.

Massing regards CNN's coverage of Trump as "seeming uninformative, repetitive, and nakedly partisan". This echoes a more widespread complaint about 24 hour rolling news: that it fills the airwaves with endless chatter (which Heidegger called Gerede and the Lacanians call Empty Speech.)

On cable news, there are two feedback loops that reinforce this phenomenon. Firstly, the partisanship alienates non-partisan viewers, thus further concentrating the audience. Secondly, people with genuine knowledge and insight quickly discover that the platform doesn't give them a fair opportunity to communicate to an open-minded audience, and therefore abandon the platform in favour of those who are happy to spout dogma on a variety of topics.

On YouTube, these two feedback loops are less in evidence. There is a wealth of good content on YouTube if you know where to look, including Zeynep Tufekci herself talking about this very phenomenon. (But just compare the numbers of views of selected videos on different channels.)
(view numbers as shown on 10 November 2018)


Update (March 2019)

@charlesarthur observes that even politicians aren't always immune to the polarizing effects of social media. He suggests that the closed WhatsApp groups now favoured by all political factions are radicalising their members "so they egg each other on to take more and more extreme positions", and notes that this kind of effect has been understood for a long time. He references Cass Sunstein's 1999 paper on the Law of Group Polarization.

Incidentally, Sunstein is also known for his work on Nudge Theory, which is usually described in terms of nudging people in a beneficial direction. But the psychological mechanisms of the nudge would appear to work in any direction.




Charles Arthur, Social media polarises and radicalises – and MPs aren’t immune to its effects (Guardian 11 March 2019)

Gregory Bateson, Steps to an Ecology of Mind (1972)

Michael Massing, Trump and CNN: Case History of an Unhealthy Codependency (NYR Daily, 9 November 2018)

Markus Prior, Media and Political Polarization (Annu. Rev. Polit. Sci. 2013. 16:101–27)

Jeff Sorensen, 24 Hour News Killed Journalism (HuffPost 20 August 2012)

Cass Sunstein, The Law of Group Polarization (John M. Olin Program in Law and Economics Working Paper No. 91, 1999)

Paul Watzlawick, Janet Beavin Bavelas and Don D. Jackson, Pragmatics of Human Communication

Wikipedia: Nudge Theory, Schismogenesis

Related posts (with additional references): The Pursuit of Truth (December 2016), Ethical Communication in a Digital Age (November 2018), YouTube Growth Hacking (November 2018), Polarizing Filters (March 2021)