5
Recolonizing Podcasts
Moving beyond the Frontiers of Instrumentarianism

Right now, however, the extreme asymmetries of knowledge and power that have accrued to surveillance capitalism abrogate these elemental rights as our lives are unilaterally rendered as data, expropriated, and repurposed in new forms of social control, all of it in the service of others’ interests and in the absence of our awareness or means of combat. We have yet to invent the politics and new forms of collaborative action – this century’s equivalent of the social movements of the late nineteenth and twentieth centuries that aimed to tether raw capitalism to society – that effectively assert the people’s right to a human future. And while the work of these inventions awaits us, this mobilization and the resistance it engenders will define a key battleground upon which the fight for a human future unfolds.

Shoshana Zuboff, The Age of Surveillance Capitalism:
The Fight for a Human Future at the New Frontier of Power
(New York: Profile Books, 2019), p. 55

In an article excerpted from her book Sounding the Nation: Radio and the Politics of Auditory Culture in Interwar France, Rebecca P. Scales addresses the topic of an imperative for, and origins of, French colonial surveillance – as exercised on the listening habits of the “native” populations in Algeria:

In November of 1934, Algerian Governor-General Jules Carde asked the Algiers Police Prefecture to investigate a rumor circulating through the French bureaucracy that “natives” in the Arab cafés (café maures) of the city were tuning in to biweekly Arabic broadcasts transmitted by an unspecified Italian radio station that featured “commentaries unfavorable to France” and “openly attacked France’s Muslim policy.”1

As the governor of three overseas French départements, Carde had already received notification that the airwaves over North Africa were becoming dangerous. A few months earlier, Jean Berthoin, director of the Sûreté Nationale (National Security) in the French ministry of interior, warned regional prefects that “[i]n a number of cities a large portion of the radio-electric industry – sales and the construction of devices – is in the hands of foreigners.”2 Berthoin feared that the dominance of large multinational firms over France’s radio-electric market would allow enemy agents to mask radio transmitters under the cover of radio sales and to report clandestinely on troop maneuvers and defense preparations. He therefore instructed prefects to begin “discreet investigations” into the civil status, political affiliation, and nationality of radio merchants and their personnel.3 While ostensibly directed at metropolitan prefects, these Sûreté directives resonated in Algeria – a strategic periphery of “Greater France” and home both to a sizeable European population of German and Italian descent and to multiple garrisons of France’s indigenous-based African army (l’armée d’Afrique). By 1935, rumors of radio espionage and subversive auditory propaganda that circulated through the Algerian colonial bureaucracy compelled Governor Carde to construct a colony-wide surveillance web in order to monitor radio sales, investigate Algerian listening habits, and assess the effects of radio propaganda on the “native mentality.”4

In light of Scales’ historical analysis, what are we to make of the possible surveillance of contemporary listeners of decolonizing podcasts? If the decolonizing content of our surveyed podcasters has any value regarding the ability to either critique and interrogate or create counter-narratives, we should expect counter-programming and surveillance from dominant institutions and their stakeholders. In other words, if the analogy between revolutionary radio in the post-World War II era of decolonization and contemporary decolonizing podcasts is sound, certainly the analogy between European colonial forces and contemporary institutions of power is also relevant.

This concluding chapter seeks to provide a summary of our findings, with an emphasis on the vulnerabilities of podcasters who use their programming as a space for decolonization. The chapter begins with an analysis of the aspects of decolonization found in the scholarly literature but not made apparent in our survey of the podcasting space. We then shift gears, to discuss systematic threats to the decolonizing potential of podcasting. We argue that surveillance capitalism is not just a new form of capitalism, as Shoshanna Zuboff contends: given the face of institutional power in the digital age, it represents a new era of colonization, where any use of media furthers the instrumentarian power of the colonists. This digital colonization is dependent upon, and threatens, all media users and producers, including podcasters. We give here a summary of our study’s main findings regarding the contradictory role of podcasting as a force of decolonization and digital colonialism. Lastly, we end by making policy recommendations designed to protect podcasters and private citizens from the perils of surveillance capitalism.

Gaps in Decolonization

Eve Tuck and K. Wayne Yang, who co-edited Indigenous and Decolonizing Studies in Education in 2019, remind us in that book that “decolonization studies are informed by indigenous theory, history, epistemology, and futurity.”5 Indeed, decolonization research is grounded in indigenous peoples’ demand for self-determination and uses the decolonization process to achieve indigenous utopianism.6 Indigenous utopianism is an aspirational concept; it refers to an ancient past that activists seek to bring about in the present in the form of freedom and self-determination.7 Tuck and Yang tell us, further, that decolonization depends upon deconstructing empire as an extension of the settler mentality, where “small numbers of colonizers go to a ‘new’ place and dominate a local labor force in order to send resources back to the metropole.”8 Given the centrality of empire and indigeneity to decolonization, we were flummoxed by the near absence of both in the podcasting space, by comparison to the representation of other areas such as race, gender, ethnicity, and class.

However, the gaps in decolonial podcasting reflect broader trends in scholarship. Since the establishment of decolonization as an academic discipline, less and less attention has been paid to indigeneity, and we find a comparable situation in the landscape of decolonizing podcasts. In fact Tuck and Yang write:

At a conference on educational research, it is not uncommon to hear speakers refer, almost casually, to the need to “decolonize our schools,” or use “decolonizing methods,” or “decolonize student thinking.” Yet we have observed a startling number of these discussions make no mention of Indigenous peoples, our/their struggles for the recognition of our/their sovereignty, or the contributions of Indigenous intellectuals and activists to theories and frameworks of decolonization. Further, there is often little recognition given to the immediate context of settler colonialism on the North American lands where many of these conferences take place.9

The waning of the subject of indigeneity that Tuck and Yang noticed on the agenda of decolonial conferences reflected a phenomenon parallel to what our survey found in podcasting.

We were flabbergasted to discover the scarcity of decolonial podcasts that critique and interrogate the perpetuation of colonization on indigenous peoples. We found notable exceptions, to be sure – including Nick Estes’ Red Nation, which is a clear leader in this field,10 or Thunder Bay, which investigates certain murders as a perpetuation of Canada’s colonial legacy on indigenous people.11 However, given that we were looking at podcasts from the United States, whose history begins with the colonization of indigenous people, we expected to see a plethora of podcasters, all trying to challenge settler mentalities toward indigeneity. This is clearly a large gap, which raises questions about the podcasters’ commitment to decolonization and about their sophistication.

On a closely related theme, discourses about imperialism, which are a defining feature of colonization, were limited as well. We found the occasional reference to imperialism and empire in programs such as Long Distance Radio. For example, the hosts presented an episode on Myrla Baldonado, whom they described as

just a college student when protests and violent clashes between students and police break out during the First Quarter Storm of 1970 in the Philippines. When she learns about the dark truths of her country and its ties to U.S. imperialism, she risks everything to join the fight against the dictatorship of Ferdinand Marcos.12

Among the podcasts we surveyed, the only ones dedicated to interrogating and critiquing empire are Empire Files, hosted by Abby Martin and Mike Prysner, and Pushback, hosted by Aaron Maté.13 In both, the hosts are journalists, which means that, apart from analyzing the United States from the lens of empire, they provide firsthand accounts of the impact of empire on people. Martin frequently travels to nations that have fallen victim to empires in order to offer such accounts to audiences there. Maté is an expert voice around the globe; he even testified before the United Nations as an expert witness on the use of chemical weapons in Syria.14 These journalists’ programs look with a critical eye at empires all around the globe – particularly the United States, but China, Russia, and others as well. Although these two programs are expansive in their reach and scope, they cannot compensate for the absence of fellow programs; the topic they are attempting to cover is massive. The fact that no other programs deal with empire points to some of the limitations of podcasting as a space of decolonization.

We can only speculate as to why decolonial podcasts pay such little attention to two of defining features of colonization: empire and indigeneity. One area that needs further exploration is the profile we performed in Chapter 1. We think that it is highly likely that the privilege many podcast hosts enjoy in terms of education and employment could be a decisive factor in their seemingly waning interest in indigeneity and empire.

Whatever the cause may be, the fact remains that empire and indigeneity are rich areas of decolonial analysis that are largely disregarded in the legacy media spaces. And now we discovered vulnerabilities also in the decolonial podcasting space – just as we found gaps between the areas of analysis present in scholarship and those present in podcasting.

The Podcasters’ Dilemma: Digital Threats to Decolonization

In the process of chronicling decolonization, our research unveiled a dilemma: podcasters resist dominant ideologies, but these are the very ideologies that control and shape many of the tools and platforms that podcasters rely upon for producing and disseminating the media they use. A dilemma is a situation that requires an equally difficult or impossible choice between two (or more) undesirable options. Each new piece of technology historically presents consumers with what media scholar Neil Postman described as a Faustian bargain: opportunities for exploitation and liberation.15 To understand how this threatens decolonial podcasters, it is crucial to understand the dominant economic ideology of tech companies: surveillance capitalism.

Surveillance Capitalism

Shoshanna Zuboff explains to us why the economic ideology of the Internet is surveillance capitalism, and how this came about. Her 2019 book The Age of Surveillance Capitalism shows that, during the 1980s, as the Internet entered the commercial sphere, there was great hope for and trust in its ability to deliver boundless information to users and be its bastion. The Internet’s attractiveness derived from this power to give endless communication opportunities to everyone who had access to it. Policymakers were so confident that the Internet was a level playing field for users that the US federal government absolved technology companies from liability for the content on their platforms.16 For their part, technology companies promised a fair and decent Internet experience for users.17 Google summed up the philosophy of the industry in its motto: “Don’t be evil.”18

The economic recession in 2000 and the terrorist attacks of September 11, 2001 saw technology companies abandon commitments to principles such as “Don’t be evil” - in fact, Google removed the phrase from its company code of conduct n 2018- in order to gain economic viability through data optimization. Since their inception, technology companies have been collecting users’ data.19 Data here consist of digital records of every action taken by an Internet user.20 Initially, tech companies viewed data analysis as a limited but necessary process designed to improve their platforms. For example, Google used data to make sure that searches yielded the content people were looking for, and Amazon did the same when it came to products. These companies would analyze the data to determine how to best design their platform to serve customers. Any data they collected that were not directly related to these operations were known as behavior surplus data and were deemed expendable.21 Until 2000, most technology companies agreed that storing or sharing user data was unethical.22 However, in 2000, the US economy faced a recession that was largely due to overspeculation on the Internet.23 The companies that remained in business began to search for new advertising strategies and revenue streams.24

They would find one in the federal government, which offered massive contracts to tech companies that would collect and analyze data after September 11, 2001. In the hope of preventing future attacks, US policy sought to expand its intelligence collection practices. Lawmakers quickly recognized that digital data collection would be a valuable resource in preventing future attacks.25 As a result, the federal government appealed to the technology industry to provide it with data and data analysis. Soon the federal government became one of the technology industries’ biggest clients, offering lucrative contracts for massive data collection.26 Technology companies reeling from the 2000 recession were incentivized by the federal government to exploit the vast amount of user data, produced and posted free of charge by users, as the basis of the Internet economy.27

These companies were building an infrastructure that collected data on every user twenty-four hours a day, not to enhance user experience but to provide critical insight into consumers’ behaviors and attitudes.28 In 2018, Forbes reported that humans create 2.5 quintillion bytes of data daily, over 90 percent of those data having been generated in the last two years alone.29 To maximize their data collection, companies such as Facebook, Amazon, Apple, Microsoft, Netflix, Spotify, and Yahoo share data with one another.30 These companies claim that their machine intelligence capabilities enabled them to create algorithms that could anticipate what a user will do at a particular moment, soon thereafter, and even much later.31 Algorithm-based predictive analytic products are lucrative features because they enable effective micro-targeting.32 Simon Kruschinski and André Haller describe micro-targeting as “a commercial direct marketing practice”; they also speak about a “process of making strategic decisions at the individual level about which customer to target with what campaign message.”33

Predictive analytical products operationalize data for companies to micro-target a particular individual or group with effective messaging. Predictive analytic products have proven to be so successful to the advertising industry that social media advertising revenue jumped from $11 billion in 2015 to $23.5 billion in 2018.34 Predictive analytic products can serve various functions for various industries: health insurers would like to know what ailments their clients have searched for on Google and how active they should be to calculate these clients’ health insurance fees; car insurance companies seek global positioning system (GPS) data to analyze their customers’ driving speed and frequency in order to calculate insurance premiums; law enforcement agencies seek DNA data from genealogy websites in order to solve crimes; and advertisers seek customers data to create effective advertisements.35 The perceived success of predictive analytic products saw technology companies expand data collection to non-screen activities, for example by installing retina scanning, facial recognition, and voice recognition software on phones such as Apple’s Siri and Google’s Android and on in-home devices such as Samsung TV sets and Amazon’s Alexa.36

More recently, technology companies have begun experimenting with a more promising and thus more lucrative way to exploit behavioral surplus data: an economy of action.37 In an action economy, companies operationalize their users’ data so as to direct rather than predict their behavior. Data opens a window into a user’s thoughts and cognitive processes. Those who have access to these data can construct content and situations in which a user will act in the desired fashion. The stimulus for this redirection of behavior can be as subtle as a phrase in the targeted user’s Facebook news feed or the particular timing and placement of a purchase button on a website.38 Zuboff concludes that technology companies’ long-term goal is to triangulate data so as to direct every human action.39 The dynamic rise of surveillance capitalism has contributed to the podcasters’ dilemma: podcasters can create digital spaces for decolonization, but in doing so they run the risk of furthering digital colonialism.

The Dilemma

In previous decades, decolonization movements in response to the failures of neoliberalism have emerged in podcasting communities. However, surveillance capitalism, an economic system shaped by decades of neoliberal policy, has transformed the Internet into a colonizing apparatus that emaciates human autonomy. The instrumentarian power that enables digital colonization is dependent upon collecting and exploiting data from those who produce and consume media such as podcasts. Essentially, podcasters have carved out a thriving and lucrative space for decolonization that is largely owned and operated by the very power structures they seek to dismantle. For example, all the platforms that these groups use – social media, search engines, content curators, and crowdfunding websites – are owned and operated by wealthy and powerful institutions. Podcasters use digital tools that have the capability to both liberate and subjugate. This presents a problem for them. Should they take advantage of the opportunities afforded by digital tools, even though doing so makes them susceptible to the exploitation of surveillance capitalism? On the one hand, podcasts can communicate awareness, connect activists, and create organized resistance to hegemonic structures and institutions. On the other hand, podcasts serve the oppressive practices of surveillance capitalism by generating user data that are harvested and weaponized against marginalized communities. This is the podcaster’s dilemma.

The centrality of surveillance in this new economic order creates a dilemma for decolonial podcasters. Should they continue to engage in this space, even at the risk of their privacy? Scholars have long pointed out that colonization is predicated on surveillance. Take the example of the nineteenth-century slave system, which had slave patrols, federal officials, and spy slaves who monitored and reported on the other slaves in order to prevent any resistance movements.40 In fact numerous scholarly studies have been conducted that show us how in the age of surveillance capitalism algorithms are designed and optimized to reinforce colonialism, especially when it comes to race.41 Ruhr Benjamin refers to this as “the New Jim Code.”42 In our examination of the podcasts, we were surprised to find little if anything on surveillance capitalism or the marginalizing effects of algorithms.

The popularity of podcasts is also part of the dilemma. The decolonizing podcast space is a rich and vital media ecosystem; it introduces audiences to viewpoints and perspectives that rarely, if ever, appear in corporate mass media. Although this is the podcasters’ main strength, it may also prove to be their main weakness. Currently there are concerns about the popularity of online content that distracts from legacy media. One person to express such concerns was Alex Stamos, a former Facebook executive who appeared on CNN in January 2021 and said: “There are people on YouTube for example that have a larger audience than daytime CNN… They are extremely radical and push extremely radical views.” He joined a large chorus of other individuals – such as journalists from MSNBC, Slate, and New Yorker, the former first lady of the United States, Michelle Obama, and US Congressperson Alexandria Ocasio-Cortez (AOC) – who lauded big tech for removing from social media, search engines, and other platforms conservative online sources that they deemed responsible for the January 6, 2021 storming of the US Capitol.43

The ebullient support for these measures ignored that left-leaning media producers – many of whom operate in the same media ecosystem as decolonial podcasters – were also targeted: Facebook banned accounts associated with Jerry White’s World Socialist Web Site;44 progressive websites such as Common Dreams, Truthout, and The Intercept saw a decline in their Internet traffic from popular social media and search engine websites; and academic conference videos from the Critical Media Literacy Conference of the Americas, whose theme was “decolonizing media literacy,” were removed by YouTube.45 The increased pressure from government and legacy media for big tech to censor problematic content has generated a conflation with content that is alternative to dominant media narratives. This puts the podcasters we studied in a precarious position, because their content is the embodiment of alternatives to corporate mass media.

One of the general reasons why the podcasting space could be targeted is that it lacks gatekeepers. Indeed, this is one of its defining features: there are no editors, no time limits, and no Federal Communications Commission regulations. Caliphate, the New York Times’ podcast, illustrates that even media empires with fact checkers do not think of podcasting as a space that requires editors. After all, the central figure of Caliphate fabricated his online transition from citizen in a liberal democracy to terrorist.46 As much as we empathize with the decolonial podcasters, we do think that they too, like all podcasters, should be concerned about the lack of gatekeepers – and this for two reasons. First, editorial mistakes that are left unchecked may result in false or misleading information, as happened to Caliphate. Second, in an age where big tech’s excuses for digital censorship are growing, the lack of gatekeepers may be reason enough to cause the removal of radical podcasters – those who challenge the status quo – from the social media networks, streaming libraries, search engines, and crowdfunding platforms that make decolonial podcasting possible.

We are also interested in whether the popularity of podcasting ultimately threatens the future of its space. One of our concerns along this line is about the sort of attention that popularity will elicit from very powerful people and from the institutions it seeks to decolonize. A decade ago media historian Tim Wu told us that entertainment media have always been hailed as a transformational invention.47 The hype draws the attention of powerful forces that shape the media for their own ends. In the process, they drive away the people who are disgusted with what the media system has become. One has to wonder whether this is the case with podcasting as well. After all, powerful media entities such CNN and the New York Times have gotten into podcasting, and so, too, have powerful political figures such as Hillary Clinton, the 2016 Democratic Party nominee, Barack Obama, a former president, and Pete Buttigieg, a former Indiana mayor and the Democrats’ presidential candidate in 2020.

Apart from the fact that powerful figures are joining the space, there is some anecdotal evidence that podcasting is moving toward the corporate monopolization that defined older media. Just as the popularity of podcasting has increased, so too has the monopolization of its space. In 2020, Amazon’s and Spotify’s purchases respectively of the Wondery and the Gimlet media platforms prompted business journalists to remark that this could change podcasting’s future. After Liberty Media, which owns SirisuXM and a portion of Pandora, purchased a stake in iHeartRadio, only a handful of owners remain in the podcasting space. A study carried out by Fair and Accuracy in Reporting (FAIR) in May 2021 found that the dominant platforms are Liberty, Spotify, and public radio, which in turn comprises National Public Radio (NPR) and the Public Radio Exchange (PRX). Just behind them, and not far, are Amazon, Apple, and the New York Times.48 The fear is that, just as the homogenized and sanitized corporate messaging pushed audiences to seek out podcasting, it will now reshape the podcasting space and alienate audiences.

Conclusion and Policy Recommendations

Our survey revealed great optimism about the work of decolonial podcasters, but it also raised concerns about the future of this space; and we referred to the latter as “the podcaster’s dilemma.” Rather than suggesting that podcasters endeavor to devise strategies that could lessen the impact of digital surveillance on their listeners, we have a series of recommendations for policies that would create structural change in the American digital landscape.

Broadly speaking, our recommendations are patterned on the privacy by design principles that underlie both Canada’s Personal Information Protection and Electronic Documents Act (PIPEDA), passed in 2000, and the European Union’s General Data Protection Regulation (GDPR), passed in 2018. Writing for the company’s website for Varonis, a data security firm, Andy Green says:

PIPEDA is a consumer-friendly law that’s based on Canadian-born Privacy by Design (PbD) principles. The law has privacy rules requiring consumer consent when collecting personal information and giving consumers the right to access and change their data when incorrect. Companies are obligated to put in place security safeguards and practices, such as data minimization, to limit risks and protect their data. Not surprisingly, PIPEDA is also similar to another PbD-inspired law, the EU GDPR. Like the GDPR, PIPEDA’s definition of personal information is quite broad: it includes any data about an individual. Along with the name and other obvious identifiers, PIPEDA counts as personal information employee files, credit records, medical records, blood type, social status, and more.49

As for GDPR, it requires the consent of individuals for data processing, anonymizes data to protect privacy, provides data breach notifications, and demands that companies appoint a data protection officer to oversee compliance.50 Both PIPEDA and GDPR give consumers greater control over their data, securing their consent to the use, transfer, or sale of data beyond the purposes for which the data were originally collected. Individuals can transfer their data under a “right of portability” and have a “right of erasure” of their personal data.51

In addition to the prerogatives of PIPEDA and GDPR, we are open to the principles outlined by Jaron Lanier and E. Glen Weyl in 2018. Lanier and Weyl argue that individuals should be allowed to sell their data for profit in the broader digital marketplace. They write:

As we wait helplessly for more elections to be compromised, for more nasty social divisions to be enflamed, for more invasive data surveillance, and for more workers to become insecure, the widespread assumption that no other models are possible leads to a state of despair. But there is an alternative: an emerging class of business models in which internet users are also the customers and the sellers. Data creators trade directly on the value of their data in an information-centric future economy. Direct buying and selling of information-based value between primary parties could replace the selling of surveillance and persuasion to third parties. Platforms would not shrivel in this economy; rather, they would thrive and grow dramatically, although their profit margins would likely fall as more value was returned to data creators. Most important, a market for data would restore dignity to data creators, who would become central to a dignified information economy.52

Although Lanier and Weyl are proposing market-based solutions to data privacy, their emphasis on “data as labor” and “data dignity” is compelling. They argue:

Glen has called this idea of a true market economy for information “data as labor” and “liberal radicalism,” while Jaron has called it “humanistic digital economics” and “entrepreneurial democracy.” Here we’ll use the less politically charged term “data dignity.” This translates the concept of human dignity that was central to defeating the totalitarianism of the twentieth century to our contemporary context in which our data needs to be protected from new concentrations of power. We understand the term “data” to include most digital activity. It intentionally creates entertainment data, like a YouTube video or a social media meme, as well as less deliberately produced data gathered through surveillance or biological sensors, such as location or metabolic logs. Other examples are language provided to a translation engine to train the software and real-time data flows, such as a music lesson delivered over Skype. All of this has value to the producer, and when the producer gains control over that value, incentives will be transformed; a market participant will try to persuade the buyer to spend money with them instead of paying monopolistic platforms to manipulate a targeted person.53

We agree with Lanier and Weyl, who warn that the current tech oligopoly presents a significant challenge to free speech and counter-hegemonic community formation. We concur with Lanier and Weyl, who argues:

The result is an internet – and, indeed, a society – built on injected manipulation instead of consensual discourse. A system optimized for influencing unwitting people has flooded the digital world with perverse incentives that lead to violations of privacy, manipulated elections, personal anxiety, and social strife. It has also made many of the largest tech companies immensely powerful. A classic example of online behemoth power, what we call a “siren server,” is YouTube, owned by Google. The network effects that always accompany digital entities allow YouTube to control both the production and the consumption of digital video. They are at once a monopoly and a monopsony (a sole purchaser of data), deciding which content producers will be paid in the manner of a communist central planner and determining what content billions of users will consume. Tech giants have become so influential that they function like transnational governments charting the future to a greater degree than any national government. Facebook and Google, for example, have effectively become central mediators unilaterally determining the balance between free speech and election manipulation for all major developed democracies.54

In summary, we believe that, in order for decolonizing podcasts to be liberated from the imminent possibility of digital colonization, a comprehensive national policy in the fashion of PIPEDA and GDPR must be adopted that should allow for the following measures:

  1. a substantive digital trust-busting effort that would result in the break-up of digital and telecommunications giants like Google, Facebook, Twitter, etc.;
  2. the establishment of US federal and state departments of privacy and data protection designed to ensure compliance with anti-trust measures and with PIPEDA or GDPR-inspired national legislation;
  3. full consumer control and consent regarding the use of consumer data, including the right of portability and the right of erasure;
  4. mandatory oversight conducted by an office of data protection within private companies; and
  5. the right of individuals to share or conceal their data as they see fit.

We do not believe that it is the duty of decolonizing podcasters to seek such measures. However, the processes of critique and interrogation, counter-narrative production, and the call to action that they employ are uniquely useful in pursuing and agitating for such policies. We hope that this book serves to raise awareness and will inspire progressive steps of this nature in the inspiring and liberatory podcasting communities that we have surveyed.

Notes

  1. 1 Rebecca P. Scales, “Subversive Sound: Transnational Radio, Arabic Recordings, and the Dangers of Listening in French Colonial Algeria, 1934–1939,” Comparative Studies in Society and History 52.2 (2010): 384–417, here p. 384.
  2. 2 Ibid.
  3. 3 Ibid., pp. 384–385.
  4. 4 Ibid. p. 385.
  5. 5 Eve Tuck and K. Wayne Yang, “Series Editor’s Introduction,” in Indigenous and Decolonizing Studies in Education: Mapping the Long View, edited by Linda Tuhiwai Smith, Eve Tuck, and K. Wayne Yang (New York: Routledge, 2019), p. xi.
  6. 6 Sandeep Banerjee, Space, Utopia and Indian Decolonization: Literary Pre-Figurations of the Postcolony (New York: Routledge, 2019).
  7. 7 See also Lyman Tower Sargent, Bill Ashcroft, and Corina Kesler, eds., Postcolonial Utopianism, special issue of Spaces of Utopia 2.1 (2012).
  8. 8 Tuck and Yang, “Series Editor’s Introduction,” p. xii.
  9. 9 Eve Tuck and K. Wayne Yang, “Decolonization Is Not a Metaphor,” Decolonization: Indigeneity, Education & Society 1.1 (2012): 1–40, here 2–3.
  10. 10 Nick Estes, The Red Nation Podcast, November 25, 2020, Podcasts.apple.com, https://podcasts.apple.com/us/podcast/the-red-nation-podcast/id1482834485.
  11. 11 Ryan McMahon and Jon Thompson, Thunder Bay, Sticther, January 12, 2021, https://www.stitcher.com/show/thunder-bay.
  12. 12 Paola Mardo, Long Distance Radio, 2020, https://podcasts.apple.com/us/podcast/myrla-part-1-the-underground/id1437122415?i=1000466622725.
  13. 13 Staff, Empire Files, Apple Podcasts, 2020, https://podcasts.apple.com/us/podcast/empire-files/id1332127325; Staff, Pushback with Aaron, Apple, February 17, 2021, https://podcasts.apple.com/us/podcast/pushback-with-aaron-mate/id1478159781.
  14. 14 Aaron Maté, “The Grayzone’s Aaron Maté Testifies at UN on OPCW Syria Cover-up,” Grayzone, September 29, 2020, https://thegrayzone.com/2020/09/29/grayzones-aaron-mate-testifies-at-un-on-opcw-syria-cover-up.
  15. 15 Neil Postman, Technopoly: The Surrender of Culture to Technology (New York: Vintage Books, 1993).
  16. 16 “The New Clash between Free Speech and Privacy,” NPR, March 21, 2018, https://www.npr.org/series/598325820/the-new-clash-between-privacy-and-free-speech.
  17. 17 Staff, “Bill Gates,” Charlie Rose, November 25, 1996, https://charlierose.com/videos/12426.
  18. 18 Tanya Basu, “New Google Parent Company Drops ‘Don’t Be Evil’ Motto,” Time, October 4, 2015, time.com/4060575/alphabet-google-dont-be-evil.
  19. 19 Shoshana Zuboff, The Age of Surveillance Capitalism: The Fight for the Future at the New Frontier of Power (New York: Profile Books, 2019).
  20. 20 Xing Zhang, Zhenglei Yi, Zhi Yan, Geyong Min, Wenbo Wang, Ahmed Elmokashfi, Sabita Maharjan, and Yan Zhang, “Social Computing for Mobile Big Data,” Computer 49.9 (2016): 86–90.
  21. 21 Zuboff, Age of Surveillance Capitalism.
  22. 22 Ibid.
  23. 23 Guido Buenstorf and Dirk Fornahl, “B2C: Bubble to Cluster: The Dot-Com Boom, Spin-off Entrepreneurship, and Regional Agglomeration,” Journal of Evolutionary Economics 19.3 (2009): 349–378.
  24. 24 Zuboff, Age of Surveillance Capitalism.
  25. 25 Yasha Levine, Surveillance Valley the Secret Military History of the Internet (New York: Hachette, 2018).
  26. 26 Ibid.
  27. 27 Zuboff, Age of Surveillance Capitalism.
  28. 28 Ibid.
  29. 29 Bernard Marr, “How Much Data Do We Create Every Day? The Mind-Blowing Stats Everyone Should Read,” Forbes, May 21, 2018, https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/#635d904a60ba.
  30. 30 Aaron Mak, “The Industry: How Facebook Made Those Eerie ‘People You May Know’ Suggestions,” Slate, December 19, 2018, https://slate.com/technology/2018/12/facebook-friend-suggestions-creepy-people-you-may-know-feature.html?__twitter_impression=true.
  31. 31 Ibid.
  32. 32 Ibid.
  33. 33 Simon Kruschinski and André Haller, “Restrictions on Data-Driven Political Micro-Targeting in Germany,” Internet Policy Review 6.4 (2017): 1–23, here p. 3.
  34. 34 “Social network advertising revenues in the United States from 2015 to 2018 (in billion US dollars)” https://www.statista.com/statistics/271259/advertising-revenue-of-social-networks-in-the-us.
  35. 35 Bianca Bosker, “The Binge Breaker: Tristan Harris Believes Silicon Valley is Addicting US to Our Phones: He’s Determined to Make It Stop,” The Atlantic, November, 2016, https://www.theatlantic.com/magazine/archive/2016/11/the-binge-breaker/501122; Eoin O’Carroll, “Are the Trackers Really Voluntary?,” Chrisitan Science Monitor, March 15, 2018, https://www.csmonitor.com/Technology/2018/0315/Can-your-boss-make-you-wear-a-Fitbit; Megan Molteni, “The Creepy Genetics behind the Golden State Killer Case,” Wired, April 27, 2018, https://www.wired.com/story/detectives-cracked-the-golden-state-killer-case-using-genetics; Tin a Hesman Saey, “Crime Solvers Embraced Genetic Genealogy: The Golden State Killer Case Was Just the Beginning,” Science News, December 17, 2018, https://www.sciencenews.org/article/genetic-genealogy-forensics-top-science-stories-2018-yir.
  36. 36 Zuboff, Age of Surveillance Capitalism.
  37. 37 Ibid.
  38. 38 Ibid.
  39. 39 Ibid.
  40. 40 Christian Parenti, The Soft Cage: Surveillance in America, from Slavery to the War on Terror (New York: Basic Books, 2004).
  41. 41 Virginia Eubanks, Automating Inequality: How High Tech Tools Profile, Police, and Punish the Poor (New York: St. Martins Press, 2017); Safiya Umoja Noble, Algorithms of Oppression: How Search Engines Reinforce Racism (New York: New York University Press, 2018); Andrew Guthrie Ferguson, The Rise of Big Data Policing, Surveillance, Race, and the Future of Law Enforcement (New York: New York University Press, 2017).
  42. 42 Ruha Benjamin, Race after Technology (Cambridge: Polity, 2019).
  43. 43 Darrell Etherington, “Michelle Obama Calls on Silicon Valley to Permanently Ban Trump and Prevent Platform Abuse by Future Leaders,” TechCrunch, January 7, 2021, https://techcrunch.com/2021/01/07/michelle-obama-calls-onsilicon-valley-to-permanently-ban-trump-and-prevent-platform-abuse-by-future-leaders; Alexandria Ocasio-Cortez, Twitter, January 8, 2021, https://twitter.com/aoc/status/1347679332014161920?lang=en; Michael Lee, “Journalist Steve Coll Questions Facebook’s Support of ‘Free Speech’: It Has Been ‘Weaponized against Journalism,’” Washington Examiner, December 7, 2020, https://www.washingtonexaminer.com/news/journalist-steve-coll-questions-facebooks-support-of-free-speech-it-has-been-weaponized-against-journalism; Dahlia Lithwick, “Republicans Still Don’t Get It: Even after almost Dying, They Are Screaming about Their Right to Blather While in the Act of Blathering,” Slate, January 13, 2021, https://slate.com/news-and-politics/2021/01/republicans-impeachment-speeches-first-amendment.html; Kelefa Sanneh, “The Hell You Say the New Battles over Free Speech are Fierce, But Who Is Censoring Whom?” New Yorker, August 3, 2015, https://www.newyorker.com/magazine/2015/08/10/the-hell-you-say.
  44. 44 ICFI, “Facebook Escalates Attack on Socialist Left: Statement of the Socialist Equality Party,” January 2005, 2021, https://www.wsws.org/en/articles/2021/01/25/pers-j25.html.
  45. 45 Alan Macleod, “‘At First I Thought It Was a Joke’: Academic Media Censorship Conference Censored by YouTube,” Mint Press News, February 1, 2021, https://www.mintpressnews.com/media-censorship-conference-censored-youtube/274918 (this article prints this announcement on the frontispiece: “The entire video record of the conference – estimated at around 24 hours of material – was mysteriously disappeared from YouTube say conference organizers”); Kollibri Terre Sonnenblume, “Cowardly New World: Alternative Media under Attack by Algorithms,” CounterPunch, October 26, 2017, https://www.counterpunch.org/2017/10/26/cowardly-new-world-alternative-media-under-attack-by-algorithms.
  46. 46 Lindsey Ellefson, “NY Times Admits ‘Caliphate’ Podcast Fell for Subject’s Hoax: A Man Whose Graphic Descriptions of His Supposed ISIS Killings Captivated New York Times Podcast Listeners Has Been Revealed to Be a Fraud,” The Wrap, December 18, 2020, https://www.thewrap.com/new-york-times-caliphate-podcast-hoax-shehroze-chaudhry.
  47. 47 Tim Wu, The Master Switch: The Rise and Fall of Information Empires (New York: Vintage, 2010).
  48. 48 Forest Hunt, “The New Podcast Oligopoly Spotify and Liberty Corner the Market, while Amazon and Apple Plot Their Ascent,” FAIR, May 21, 2021, https://fair.org/home/the-new-podcast-oligopoly.
  49. 49 Andy Green, “Canada’s PIPEDA Breach Notification Regulations are Finalized!” March 29, 2020, https://www.varonis.com/blog/canadas-pipeda-breach-notification-regulations-finalized.
  50. 50 Visit DataInsider, https://digitalguardian.com/blog/what-gdpr-general-data-protection-regulation-understanding-and-complying-gdpr-data-protection.
  51. 51 Ibid.
  52. 52 Jaron Lanier and E. Glen Weyl, “A Blueprint for a Better Digital Society,” September 26, 2018, http://eliassi.org/lanier_and_weyl_hbr2018.pdf.
  53. 53 Ibid.
  54. 54 Ibid.
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