Podcasts about amazon's mechanical turk

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Latest podcast episodes about amazon's mechanical turk

SEO is Dead and Other Lies
Episode 61: How to Use Amazon's Mechanical Turk for SEO

SEO is Dead and Other Lies

Play Episode Listen Later Apr 21, 2020 28:54


Paul Warren and Ryan Klein discuss Amazon's mechanical Turk and how to use it for SEO. We also tell you how to avoid getting your account banned so you don't end up like us.   Mechanical Turk: https://www.mturk.com/ How to use mechanical blog post: https://www.marketmymarket.com/mechanical-turk-for-marketing-and-website-improvements/

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2 Girls 1 Podcast
101 How to Make Real Money With Amazon's Mechanical Turk

2 Girls 1 Podcast

Play Episode Listen Later Sep 16, 2019 51:22


Amazon's Mechanical Turk service has a mixed reputation. Some see it as a way to turn found time into easy spending money. Others view it as crowd-sourced slave labor.   While the majority of Mechanical Turk workers make very little money doing repetitive tasks like identifying images or taking surveys (and often give up on the platform entirely), there are some who have optimized the process to actually generate decent incomes. By studying the time-to-pay ratios of certain tasks and using basic tech tools to filter through millions of tiny jobs constantly posted to mTurk, so-called "Alpha Turkers" can turn small pockets of spare time into $200-$500 a week, which isn't bad if you also have a full-time income.   Alli and Jen talk to Mike Naab, a longtime mTurker who makes decent money from the platform, and wrote the ebook Side Hustle From Home: How To Make Money Online With Amazon Mechanical Turk to help others do the same. Naab shares his tips, tricks, tools, and philosophies about mTurk, how he's leveraged it to his advantage, and why it's probably not for everyone. Support 2G1P on Patreon! https://www.patreon.com/2G1PJoin us on Discord: discord.gg/2g1p Email us: 2G1Podcast@gmail.com Talk to Alli and Jen: https://twitter.com/alligold https://twitter.com/joonbugger Call the show and leave a message! (347) 871-6548 Learn more about your ad choices. Visit megaphone.fm/adchoices

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Reimagine Work
The Humans Behind The Gig Economy (Sarah Kessler, Quartz)

Reimagine Work

Play Episode Listen Later Nov 28, 2018 35:07


Amid all the buzzwords and reports on the future of work, I find Sarah Kessler's stories about the gig economy to be the most insightful and the most human. Her stories and her book, Gigged, give an accurate picture of some of the upsides of the gig economy, but also some of the downsides. She shares stories of people that are sleeping in their office making five cents per task on Amazon's Mechanical Turk to creative freelancers who can make six-figure salaries working from anywhere. She also shares the story of companies that see limits to the gig economy, like Dan Teran's company Managed by Q who is following Zeynep Ton's Good Jobs Strategy and looking at people as valuable and investing in them as full-time employees and partners in the businesses success.Our conversation dives deeper into some of the stories she shares as well as some of the current challenges with platforms, the PR machine (all the firms say people want flexibility, but fail to mention they are happy to give it up for more pay!). One of her subjects in the book puts it most powerfully, Kristy Milland, “I am a human, not an algorithm” More From Sarah:Gigged (Amazon)Her writing on Quartz@WorkStartups Incomplete Narrative On The Future Of Work (Quartz)Managed by Q is Profitable (Quartz)---------------------------------------------------------BoundlessConsider supporting the podcast on PatreonJoin 90+ People Carving Their Own Paths In The Slack CommunitySet Up A Curiosity Conversation With PaulJoin The Free 3-Week Self-Employment ChallengeSign up For The Strategy Toolkit - Learn The Secrets Of Strategy Consulting

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Gods & Ghosts
The Future of Work

Gods & Ghosts

Play Episode Listen Later Apr 21, 2018 28:19


I asked people what it's like to work on Amazon's Mechanical Turk platform. Inspired by this article: https://theoutline.com/post/2564/amazon-mechanical-turk-poetry?zd=1&zi=aswdtqsx

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Good Day, Sir! Show
Industry Standard

Good Day, Sir! Show

Play Episode Listen Later Jun 27, 2015 71:36


In this episode we discuss hoverboards, Google's GitHub alternative, triggers on account teams, needed fixes to the Salesforce developer site documentation, price increases for Amazon's Mechanical Turk, Fitbit IPO, Salesforce Foundation's grant to CoderDojo, Larry Ellison's comments during the Oracle Cloud Launch webcast, Salesforce's Service for Apps, Salesforce's acquisition of Kerensen Consulting, and Conga securing $70 million in funding.Donations for Keith and his familyLexus is developing a hoverboard you can actually rideGoogle could build a hoverboard, but won'tIdeaExchange: Allow triggers on Account Team Member ObjectIdeaExchange: Fix Developer Documentation so it is usableAmazon Made Its Humans-For-Hire More Expensive, and Scientists are AngryFitbit’s First Day On Wall StreetTip of the Day: Don't Commit a Crime While Wearing a FitbitSalesforce Foundation's Partnership with CoderDojoOracle eyes new competition as it pushes into the cloudSalesforce Service For Apps Gives CRM A Mobile EdgeSalesforce.com to Acquire Paris-based Kerensen ConsultingConga Secures $70 Million in Funding

Oxford Internet Institute
Using the Web to do Social Science

Oxford Internet Institute

Play Episode Listen Later Nov 9, 2009 51:42


Duncan Watts discusses how the Internet is beginning to lift a long-time constraint of social science research on emergent collective behaviour: the difficulty of measuring interactions between people, at scale, over time, while also observing behaviour. Social science is often concerned with the emergence of collective behavior out of the interactions of large numbers of individuals; but in this regard it has long suffered from a severe measurement problem - namely that interactions between people are hard to measure, especially at scale, over time, and at the same time as observing behavior. In this talk, Duncan will argue that the technological revolution of the Internet is beginning to lift this constraint. To illustrate, he will describe four examples of research that would have been extremely difficult, or even impossible, to perform just a decade ago: using email exchange to track social networks evolving in time; using a web-based experiment to study the collective consequences of social influence on decision making; using a social networking site to study the difference between perceived and actual homogeneity of attitudes among friends; using Amazon's Mechanical Turk to study the incentives underlying 'crowd sourcing'. Although internet-based research still faces serious methodological and procedural obstacles, Duncan proposes that the ability to study truly 'social' dynamics at individual-level resolution will have dramatic consequences for social science.