Return of the Crowds: Mechanical Turk and Neoliberal States of Exception 79 Ayhan Aytes Vi Contents
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7-1Trott.Pdf
© ephemera 2007 articles ISSN 1473-2866 e phemera www.ephemeraweb.org theory & politics in organization volume 7(1): 203-232 Immaterial Labour and World Order: An Evaluation of a Thesis* Ben Trott abstract This paper argues that Hardt and Negri’s claim that immaterial labour is becoming hegemonic, in the sense that is informing and influencing other forms of production and social life itself, goes some considerable way towards providing a theoretical framework within which we can make sense of the current and ongoing processes of transformation within the global political economy. It will be argued, however, that whilst many of the criticisms which have been levied at Hardt and Negri’s work have been based, to an extent, upon a failure to comprehend the tendential nature of their argument, there nevertheless exist a number of real and important weaknesses in their work. In particular, it will be argued that the potential power of Hardt and Negri’s revolutionary subject, ‘the multitude’, is over-stated in their work. We are amidst a process of global transformation. Within the most advanced capitalist economies at least, many of the icons of the Fordist era have been steadily disappearing: mass productive processes geared towards providing cheap, standardised commodities for mass markets; full employment; ‘blue-collar’ work; the welfare state; mass political parties and trade unions. Within the academy, in the media, and throughout popular culture more generally, the emergence of a ‘post-Fordist’, ‘post-industrial’ or ‘post- modern’ reality – alongside processes of ‘globalisation’ (variously conceived1) – have been widely debated.2 A number of overlapping, yet nevertheless distinct, schools of thought have sought to develop a theoretical and analytic framework to make sense of: the (passing) Fordist era; the origins of its crisis; the shape of things to come; and the agents of these (ongoing) processes of change. -
Examining the Biopolitics of Unwaged Immaterial Labour
Western University Scholarship@Western Electronic Thesis and Dissertation Repository 6-28-2012 12:00 AM Will Work For Free: Examining the Biopolitics of Unwaged Immaterial Labour Brian A. Brown The University of Western Ontario Supervisor Dr. Nick Dyer-Witheford The University of Western Ontario Graduate Program in Media Studies A thesis submitted in partial fulfillment of the equirr ements for the degree in Doctor of Philosophy © Brian A. Brown 2012 Follow this and additional works at: https://ir.lib.uwo.ca/etd Part of the Film and Media Studies Commons, and the Photography Commons Recommended Citation Brown, Brian A., "Will Work For Free: Examining the Biopolitics of Unwaged Immaterial Labour" (2012). Electronic Thesis and Dissertation Repository. 620. https://ir.lib.uwo.ca/etd/620 This Dissertation/Thesis is brought to you for free and open access by Scholarship@Western. It has been accepted for inclusion in Electronic Thesis and Dissertation Repository by an authorized administrator of Scholarship@Western. For more information, please contact [email protected]. WILL WORK FOR FREE: EXAMINING THE BIOPOLITICS OF UNWAGED IMMATERIAL LABOUR (Spine title: Will Work For Free) (Thesis format: Monograph) by: Brian A. Brown Graduate Program in Media Studies A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy The School of Graduate and Postdoctoral Studies The University of Western Ontario London, Ontario, Canada © Brian A. Brown THE UNIVERSITY OF WESTERN ONTARIO School of Graduate and Postdoctoral Studies CERTIFICATE OF EXAMINATION Supervisor: Examiners: __________________________________ ___________________________________ Dr. Nick Dyer-Witheford Dr. Sharon Sliwinski – Program Examiner Supervisory Committee: __________________________________ ___________________________________ Dr. -
Labeling Parts of Speech Using Untrained Annotators on Mechanical Turk THESIS Presented in Partial Fulfillment of the Requiremen
Labeling Parts of Speech Using Untrained Annotators on Mechanical Turk THESIS Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University By Jacob Emil Mainzer Graduate Program in Computer Science and Engineering The Ohio State University 2011 Master's Examination Committee: Professor Eric Fosler-Lussier, Advisor Professor Mikhail Belkin Copyright by Jacob Emil Mainzer 2011 Abstract Supervised learning algorithms often require large amounts of labeled data. Creating this data can be time consuming and expensive. Recent work has used untrained annotators on Mechanical Turk to quickly and cheaply create data for NLP tasks, such as word sense disambiguation, word similarity, machine translation, and PP attachment. In this experiment, we test whether untrained annotators can accurately perform the task of POS tagging. We design a Java Applet, called the Interactive Tagging Guide (ITG) to assist untrained annotators in accurately and quickly POS tagging words using the Penn Treebank tagset. We test this Applet on a small corpus using Mechanical Turk, an online marketplace where users earn small payments for the completion of short tasks. Our results demonstrate that, given the proper assistance, untrained annotators are able to tag parts of speech with approximately 90% accuracy. Furthermore, we analyze the performance of expert annotators using the ITG and discover nearly identical levels of performance as compared to the untrained annotators. ii Vita 2009................................................................B.S. Physics, University of Rochester September 2009 – August 2010 .....................Distinguished University Fellowship, The Ohio State University September 2010 – June 2011 .........................Graduate Teaching Assistant, The Ohio State University Fields of Study Major Field: Computer Science and Engineering iii Table of Contents Abstract .............................................................................................................................. -
I Found Work on an Amazon Website. I Made 97 Cents an Hour. - the New York Times Crossword Times Insider Newsletters the Learning Network
11/15/2019 I Found Work on an Amazon Website. I Made 97 Cents an Hour. - The New York Times Crossword Times Insider Newsletters The Learning Network Multimedia Photography Podcasts NYT Store NYT Wine Club nytEducation Times Journeys Meal Kits Subscribe Manage Account Today's Paper Tools & Services Jobs Classifieds Corrections More Site Mobile Navigation 12 I Found Work on an Amazon Website. I Made 97 Cents an Hour. By ANDY NEWMAN NOV. 15, 2019 Inside the weird, wild, low-wage world of Mechanical Turk. https://www.nytimes.com/interactive/2019/11/15/nyregion/amazon-mechanical-turk.html 2/15 11/15/2019 I Found Work on an Amazon Website. I Made 97 Cents an Hour. - The New York Times After turking for eight hours, the author had earned $7.83. Dave Sanders for The New York Times The computer showed a photo of what looked like a school board meeting. My job was to rate it on a scale of 1 to 5 for 23 different qualities: “patriotic,” “elitist,” “reassuring” and so on. I did the same for a photo of a woman wearing headphones — I gave her a 4 for “competent” and a 1 for “threatening” — and another of five smiling women flanking a smiling man in a blue windbreaker. I submitted my answers. I checked the clock. Three minutes had passed. I had just earned another 5 cents on a digital work marketplace run by Amazon called Mechanical Turk. At least I thought I had. Weeks later, I’m still not sure. There are lots of ways to make a little money in this world. -
Privacy Experiences on Amazon Mechanical Turk
113 “Our Privacy Needs to be Protected at All Costs”: Crowd Workers’ Privacy Experiences on Amazon Mechanical Turk HUICHUAN XIA, Syracuse University YANG WANG, Syracuse University YUN HUANG, Syracuse University ANUJ SHAH, Carnegie Mellon University Crowdsourcing platforms such as Amazon Mechanical Turk (MTurk) are widely used by organizations, researchers, and individuals to outsource a broad range of tasks to crowd workers. Prior research has shown that crowdsourcing can pose privacy risks (e.g., de-anonymization) to crowd workers. However, little is known about the specific privacy issues crowd workers have experienced and how they perceive the state ofprivacy in crowdsourcing. In this paper, we present results from an online survey of 435 MTurk crowd workers from the US, India, and other countries and areas. Our respondents reported different types of privacy concerns (e.g., data aggregation, profiling, scams), experiences of privacy losses (e.g., phishing, malware, stalking, targeted ads), and privacy expectations on MTurk (e.g., screening tasks). Respondents from multiple countries and areas reported experiences with the same privacy issues, suggesting that these problems may be endemic to the whole MTurk platform. We discuss challenges, high-level principles and concrete suggestions in protecting crowd workers’ privacy on MTurk and in crowdsourcing more broadly. CCS Concepts: • Information systems → Crowdsourcing; • Security and privacy → Human and societal aspects of security and privacy; • Human-centered computing → Computer supported cooperative work; Additional Key Words and Phrases: Crowdsourcing; Privacy; Amazon Mechanical Turk (MTurk) ACM Reference format: Huichuan Xia, Yang Wang, Yun Huang, and Anuj Shah. 2017. “Our Privacy Needs to be Protected at All Costs”: Crowd Workers’ Privacy Experiences on Amazon Mechanical Turk. -
Crowd Economy and Digital Precarity
Crowd Economy Denis Jaromil Roio Planetary Collegium / M-Node Plymouth, 10 July 2010 Plymouth, 10 July 2010 1 / Denis Jaromil Roio (2010) Crowd Economy 19 Outline 1 Crowdsourcing 2 Everyone is an Artist 3 Mechanical Turks 4 Conclusion Plymouth, 10 July 2010 2 / Denis Jaromil Roio (2010) Crowd Economy 19 Crowdsourcing Crowdsourcing The term crowdsourcing indicates the act of outsourcing tasks, traditionally performed by an employee or contractor, to a large group of people (a crowd): the trend of leveraging the mass collaboration enabled by Web 2.0 technologies to achieve business goals. Crowdsourcing constituted a new form of corporate outsourcing to largely amateur pools of “volunteer labor that create content, solve problems, and even do corporate R & D.1” 1Howe, 2006 Plymouth, 10 July 2010 3 / Denis Jaromil Roio (2010) Crowd Economy 19 Crowdsourcing ESP Games “5000 people playing simultaneously an ESP game on image recognition can label all images on google in 30 days. Individual games in Yahoo! and MSN average over 5000 players at a time.”2 To address the problem of creating difficult metadata, ESP uses the computational power of humans to perform a task that computers cannot yet do by packaging the task as a “game”. 2von Ahn, 2006 Plymouth, 10 July 2010 4 / Denis Jaromil Roio (2010) Crowd Economy 19 Crowdsourcing Massive Multiplayer Online RPG MMORPG World of Warcraft Second Life OpenSIM etc. Virtual reality architecture Virtual miners Plymouth, 10 July 2010 5 / Denis Jaromil Roio (2010) Crowd Economy 19 Crowdsourcing Electronic Design Automation When crowdsourcing EDA, complex problems can be broken up into modules where the I/O of logic circuits is tested against combinations computed by humans.3 3Romero, 2009 Plymouth, 10 July 2010 6 / Denis Jaromil Roio (2010) Crowd Economy 19 Crowdsourcing Functional transormation Interested in the liberation of the means of production, Berthold Brecht elaborated the concept of functional transormation (Umfunktionierung) for the transformation of the forms and instruments of production [by a progressive intelligentsia]. -
Social Factory”: on Women’S Work, Immaterial Labor, and Theoretical Recovery
Journeys in the Italian “social factory”: on women’s work, immaterial labor, and theoretical recovery David P. Palazzo, Hunter College, CUNY, [email protected] Prepared for delivery at the annual meeting of the Western Political Science Association, Las Vegas, NV, April 2-4, 2015. This is a work in-progress. Please do not quote without permission. Abstract This paper is about the location of women in the “social factory.” Their demand to be included in the class struggle derives from their development of this concept in the early 1970s. I provide an interpretation of their critique of the concept “immaterial labor” as developed in Hardt and Negri’s Empire trilogy, by examining the “social factory” as a historical category. I frame the discussion around initial formulations in Panzieri and Tronti as a useful heuristic for later depictions of the factory-society relation. In its simplest terms, these differences derive from an understanding of how “society” becomes a “factory.” This is, above all, a work of recovery by taking a journey into the workerist “social factory” in order to theoretically demonstrate the divergent paths and concerns that emerged from this group of thinkers around place of unwaged reproductive labor in “autonomous Marxism.” 2 It took years for the other subjects – men – to acknowledge the meaning of women’s denunciation – that is the immense feminine labor that went into reproducing them – and then for their behavior to change. Many remained deaf anyway… –Mariarosa Dalla Costa, Rustic and Ethical Introduction Social reproduction, reproductive labor, and the persistence of unwaged work pose specific problems for political theorists attempting to understand labor after the imposition of these categories by the “new women’s movement” some forty years ago. -
Accepted Manuscript
"Alexa, Alert Me When the Revolution Comes": Gender, Affect, and Labor in the Age of Home-Based Artificial Intelligence Item Type Article Authors Schiller, Amy; McMahon, John Citation Schiller, Amy, and John McMahon. 2019. “Alexa, Alert Me When the Revolution Comes: Gender, Affect, and Labor in the Age of Home-Based Artificial Intelligence.” New Political Science 41(2): 173–91. https://doi.org/10.1080/07393148.2019.1595288. DOI 10.1080/07393148.2019.1595288 Download date 29/09/2021 11:11:45 Link to Item http://hdl.handle.net/20.500.12648/1751 NOTE: This is a pre-print of the accepted, pre-copy edited, version of the manuscript. The Version of Record of this manuscript has been published and is available in New Political Science, Vol. 41 Issue 2 (2019), available at tandfonline.com/10.1080/07393148.2019.1595288 Alexa, Alert Me When the Revolution Comes: Gender, Affect, and Labor in the Age of Home-Based Artificial Intelligence Amy Schiller, The Graduate Center, CUNY John McMahon, SUNY Plattsburgh Abstract The fantasy of automation is one of liberation from alienating tasks. Today, domestic artificial intelligence (AI) enacts this dream of frictionlessly offloading monotony. This article deploys theories of Marxist feminism, affective labor to interrogate domestic AI’s unprecedented promise of absorbing forms of labor we hardly acknowledged that we did. While these devices make the reproductive labor of the household legible as labor, we interrogate their quasi-emancipatory promise. We argue that devices such as Amazon’s Alexa or Google Home elide and reproduce the gendered and racialized dimensions of domestic labor, streamline this labor for capture by capital, and heighten the very affective dynamics they promise to ameliorate. -
Crowdsourcing Language Resources for Dutch Using PYBOSSA: Case Studies on Blends, Neologisms and Language Variation
Crowdsourcing Language Resources for Dutch using PYBOSSA: Case Studies on Blends, Neologisms and Language Variation Peter Dekker, Tanneke Schoonheim Instituut voor de Nederlandse Taal (Dutch Language Institute) {peter.dekker,tanneke.schoonheim}@ivdnt.org Abstract In this paper, we evaluate PYBOSSA, an open-source crowdsourcing framework, by performing case studies on blends, neologisms and language variation. We describe the procedural aspects of crowdsourcing, such as working with a crowdsourcing platform and reaching the desired audience. Furthermore, we analyze the results, and show that crowdsourcing can shed new light on how language is used by speakers. Keywords: crowdsourcing, lexicography, neologisms, language variation 1. Introduction Open-task crowdsourcing has been applied to lexicography Crowdsourcing (or: citizen science) has shown to be a for other languages, such as Slovene, where crowdsourcing quick and cost-efficient way to perform tasks by a large was integrated in the thesaurus and collocation dictionary number of lay people, which normally have to be per- applications (Holdt et al., 2018; Kosem et al., 2018). On formed by a small number of experts (Holley, 2010; Causer top of this goal of language documentation, we would like et al., 2018). In this paper, we use the PYBOSSA (PB) to use crowdsourcing to make language material available framework1 for crowdsourcing language resources for the for language learners. Dutch language. We will describe our experiences with this framework, to accomplish the goals of language doc- 2. Method umentation and generation of language learning material. In addition to sharing our experiences, we will report on As the basis for our experiments, we hosted an instance linguistic findings based on the experiments we performed of PYBOSSA at our institute. -
Mechanical Turk
Mechanical Turk W ILLIAM LUNDIN FORS S É N and ADAM RENBERG Bachelor of Science Thesis Stockholm, Sweden 2010 Mechanical Turk W ILLIAM LUNDIN FORS S É N and ADAM RENBERG Bachelor’s Thesis in Computer Science (15 ECTS credits) at the School of Computer Science and Engineering Royal Institute of Technology year 2010 Supervisor at CSC was Mads Dam Examiner was Mads Dam URL: www.csc.kth.se/utbildning/kandidatexjobb/datateknik/2010/ lundin_forssen_william_OCH_renberg_adam_K10066.pdf Royal Institute of Technology School of Computer Science and Communication KTH CSC 100 44 Stockholm URL: www.kth.se/csc Abstract Amazon Mechanical Turk (mTurk) is an infrastructure where tasks can be published for a crowd to solve. Those publishing the tasks reward the crowd for solving them. The system has increased in popularity since its release in 2005 but is still in a beta stage. This paper surveys the infrastructure, suggests improvements and debates the social and ethical questions that has arisen, such as "is this a virtual sweatshop?". We investigate the similarities and differences between this presumed virtual sweatshop and real world ones, and find that they closely resemble each other in wages and the menial nature of the tasks performed, but that they differ in working conditions and legal complexities. Referat Mechanical Turk Amazon Mechanical Turk (mTurk) är en infrastruktur där uppgifter kan publiceras för en folkmassa att lösa. De som publicerar uppgifterna belönar folkmassan för att lösa dem. Systemet har ökat i popularitet sedan dess uppstart 2005, men är fortfarande i ett beta-stadium. Denna uppsats undersöker dess infrastruktur, föreslår förbättringar och debat- terar de sociala och etiska frågor som uppstått, såsom "Är detta en virtuell sweatshop?". -
Guide to Chess.Pdf
A Guide to the Wiki For “The Game of Chess” By Allan Stewart DISCLAIMER: I started writing up this guide when I believed there was a writing requirement beyond the wiki. Instead I decided to focus on the wiki. So this short document is very meta. Consider it a guide to the wiki, or if you miss my presentation, a good overview of the ideas I cover. STRUCTURE OF THE PROJECT I chose chess as my topic because it is the premier game of Western culture. Although a game, it is not trivial at all. The evolution of chess has touched so many “human” elements in society. Conversely, the issue of whether chess (or any logic-based mechanism) is human – ie. requiring human intelligence – is of more recent interest. Regarding the evolution of chess, I see that the course has proceeded in the following way: 1. “Archaic” chess is when chess was in its foundations, before it was solidified 2. “Modern” chess is when mankind decides to place its face on the chess pieces and symbols 3. “Contemporary” chess addresses the motivations of more recent chess players Although this is a chronological approach, I argue that it produces a building foundation. In my opinion, chess has only gained complexity as humans interact with it and chess interacts with us. ARCHAIC CHESS “Chess: Origins and Myth” - plus its appended photo page – covers this extensively. Chess, believed to be quite old for reasons of its widespread distribution, is actually recent. Chess dates to later than Christ's birth and thus it is a game born in between the classical age and medieval times. -
Give a Penny for Their Thoughts
Give a penny for their thoughts Annie Zaenen ∗ Palo Alto Research Center 1 Introduction RTE intends to capture the way a normal person makes textual inferences.1 But how do we capture the intuitions of this \man in the street"? Using the intuitions of graduate students and their supervisors is a bit suspect and using traditional polling techniques to isolate a rep- resentative sample of the English speaking population would be prohibitively expensive apart from being methodological overkill. In this squib we describe and illustrate the use of a relative light-weight method that, without capture the \man in the street" outright, might be used to give the RTE data a broader basis. The proposal is to use a service such as Mechanical Turk to insure that the inferences are shared by several people or to obtain an idea of the variability of a particular inference. Below we describe a first experiment using Mechanical Turk with a subset of the RTE3 test data. The aim of this squib is not so much to present results than well to investigate what kind of information we can get out of the turker data. 2 Mechanical Turk The Amazon Mechanical Turk (MTurk)® is part of the Amazon Web Services.2 The service uses human intelligence in general to perform tasks which computers are unable to do. Here we will use it to perform a task that computers don't yet do well enough. \Requesters" ask people to perform tasks known as HITs (Human Intelligence Tasks), such as choosing paraphrases, labeling pictures, or transcribing voice-input.