Shoshana Zuboff's interdisciplinary breadth and depth enable her to come to grips with the social, political, business, and technological meaning of the changes taking place in our time. We are at a critical juncture in the confrontation between the vast power of giant high-tech companies and government, the hidden economic logic of surveillance capitalism, and the propaganda of machine supremacy that threaten to shape and control human life. Will the brazen new methods of social engineering and behavior modification threaten individual autonomy and democratic rights and introduce extreme new forms of social inequality? Or will the promise of the digital age be one of individual empowerment and democratization?
The Age of Surveillance Capitalism is neither a hand-wringing narrative of danger and decline nor a digital fairy tale. Rather, it offers a deeply reasoned and evocative examination of the contests over the next chapter of capitalism that will decide the meaning of information civilization in the twenty-first century. The stark issue at hand is whether we will be the masters of information and machines or its slaves.
Can’t wait to get this…
On first blush, I’ll note that the cover looks a lot like that of Pikkety’s Captialism in the 21st Century. Certainly an interesting framing by the publisher.
Incidentally 1% is the response rate necessary to make spam email and fax financially viable. Coincidence?
Do businesses that rely on a low response rate of 1-2% and succeed have something in common? Could they all be considered predatory?
2016 was the year that the likes of Instagram and Twitter decided they knew better than you what content you wanted to see in your feeds.
use algorithms to decide on what individual users most wanted to see. Depending on our friendships and actions, the system might deliver old news, biased news, or news which had already been disproven.
2016 was the year of politicians telling us what we should believe, but it was also the year of machines telling us what we should want.
The only way to insure your posts gain notice is to bombard the feed and hope that some stick, which risks comprising on quality and annoying people.
Sreekumar added: “Interestingly enough, the change was made after Instagram opened the doors to brands to run ads.” But even once they pay for visibility, a brand under pressure to remain engaging: “Playing devil’s advocate for a second here: All the money in the world cannot transform shitty content into good content.”
Artificially limiting reach of large accounts to then turn around and demand extortion money? It’s the social media mafia!
It disorients the reader, and distracts them with endless, timeless content.
In data-hungry, tech-happy chain restaurants, customers are rating their servers using tabletop tablets, not realizing those ratings can put jobs at risk.
The lack of thought on behalf of these large restaurant chains is simply deplorable. If presented with a tablet or app like this at a restaurant, I’m simply going to get up and leave. I’ll actively boycott the use of such aggressive nonsense.
And Ziosk could be a roundabout way for employers to discriminate against employees. Employers are legally restricted from evaluating employees based gender, age, race, or appearance, according to Karen Levy, an assistant professor in the Department of Information Science at Cornell University — but nothing is stopping Ziosk users from doing that, even though those ratings can affect a worker’s pay or employment. “If you outsource that job to a consumer, you may be able to escape that,” she said.
“Customers who might discriminate against a certain class or group of workers can use the system to leave negative comments that would affect the workers,” said Cornell’s Ajunwa. She compared the restaurant system to student evaluations of professors, which determine the trajectory of their careers, and tend to be biased against women.
Having low scores posted for all coworkers to see was “very embarrassing,” said Steph Buja, who recently left her job as a server at a Chili’s in Massachusetts. But that’s not the only way customers — perhaps inadvertently — use the tablets to humiliate waitstaff. One diner at Buja’s Chili’s used Ziosk to comment, “our waitress has small boobs.”According to other servers working in Ziosk environments, this isn’t a rare occurrence.
This is outright sexual harrassment and appears to be actively creating a hostile work environment. I could easily see a class action against large chains and/or against the app maker themselves. Aggregating the data and using it in a smart way is fine, but I suspect no one in the chain is actively thinking about what they’re doing, they’re just selling an idea down the line. The maker of the app should be doing a far better job of filtering this kind of crap out and aggregating the data in a smarter way and providing a better output since the major chains they’re selling it to don’t seem to be capable of processing and disseminating what they’re collecting.
Hi, Hello. I was wondering whether you’d be interested in selling advertising space on Does the phrase “No, not even after hell freezes over” mean anything to you? The advertiseme…
This is pretty hilarious. I definitely need something like this for my site.
I am about to criticize and show examples from a copyright poster (or, for you new-fangled kids, an infographic) I received in the mail today from Turnitin, the anti-plagiarism company. Fair dealin…
Clint you’re dead on in your analysis here. Some of these things are definitely not plagiarism. Worse, they seem to be resorting to fearmongering.
I’m hoping that the marketing department of the company was just trying to round out a list of 10 things for their handy, but improper, infographic. Shame on them for spreading bad information in hopes that increased fear will help to sell their product.
To help fight poor information and to promote the raw power of remixing and extending, I’ll reference this excellent video from Matt Ridley:
Powerful tools are now available to anyone who wants to look for a DNA match, which has troubling privacy implications.
I find this mechanics relating to privacy in this case to be extremely similar to Facebook’s leak of data via Cambridge Analytica. Something crucial to your personal identity can be accidentally leaked out or be made discoverable to others by the actions of your closest family members.
Prior work established the benefits of server-recorded user engagement measures (e.g. clickthrough rates) for improving the results of search engines and recommendation systems. Client-side measures of post-click behavior received relatively little attention despite the fact that publishers have now the ability to measure how millions of people interact with their content at a fine resolution using client-side logging. In this study, we examine patterns of user engagement in a large, client-side log dataset of over 7.7 million page views (including both mobile and non-mobile devices) of 66,821 news articles from seven popular news publishers. For each page view we use three summary statistics: dwell time, the furthest position the user reached on the page, and the amount of interaction with the page through any form of input (touch, mouse move, etc.). We show that simple transformations on these summary statistics reveal six prototypical modes of reading that range from scanning to extensive reading and persist across sites. Furthermore, we develop a novel measure of information gain in text to capture the development of ideas within the body of articles and investigate how information gain relates to the engagement with articles. Finally, we show that our new measure of information gain is particularly useful for predicting reading of news articles before publication, and that the measure captures unique information not available otherwise.
Bookmarked to read as result of reading .
[.pdf] copy available on author’s site.
New metrics specifically for news articles.
I love that there’s research1 going on in this area and it portends some potentially great things for reading, but the devil’s advocate in me can also see a lot of adtech people salivating over the potential dark patterns lurking in such research. I can almost guarantee that Facebook is salivating over this, though to be honest, they’ve really pioneered the field haven’t they, just in a much smaller area of use. Of course I’m also curious if they did or are planning any research in how people read content on social media?
I wonder what it would look/feel like to take each of these modalities and apply them individually for long periods of time to everything one read? Or to use them in rotation regardless of the subject being read? Or other permutations? I suppose in general I like to read how I like to read, but now I’m going to be more conscious of what and how I’m doing it all.
Grinberg N. Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text. WWW ’18 Proceedings of the 2018 World Wide Web Conference. https://dl.acm.org/citation.cfm?id=3186180
. Published April 23, 2018. Accessed April 27, 2018.