What is *Streaming, Sharing, Stealing* about?

*Streaming, Sharing, Stealing* analyzes how big data and digital innovation disrupt traditional entertainment industries. Authors Michael D. Smith and Rahul Telang explore how companies like Netflix and Amazon use analytics to outperform legacy media giants, with case studies on pricing, piracy, and consumer behavior. The book argues that data-driven strategies are reshaping content creation, distribution, and monetization.

Who should read *Streaming, Sharing, Stealing*?

Media executives, tech professionals, and students of economics or marketing will benefit from this book. It’s also ideal for general readers interested in how platforms like Spotify and YouTube transform how we consume music, films, and books. The authors simplify complex concepts, making it accessible despite its academic rigor.

Is *Streaming, Sharing, Stealing* worth reading?

Yes—it’s praised for blending rigorous research with engaging storytelling. Critics highlight its relevance to understanding modern streaming wars, digital piracy, and the decline of brick-and-mortar giants like Blockbuster. Despite its 2016 publication, its insights remain vital for navigating today’s data-centric entertainment landscape.

How does *Streaming, Sharing, Stealing* explain Netflix’s success?

Netflix leveraged user data to identify niche audiences and invest in original content like *House of Cards*, bypassing traditional studio models. The book contrasts this with Blockbuster’s failure to adapt, emphasizing how data analytics enable personalized recommendations and global scalability.

What is the “long tail” theory in *Streaming, Sharing, Stealing*?

The “long tail” refers to how digital platforms profit from selling small volumes of niche products (e.g., obscure films, indie music) rather than relying solely on blockbusters. Amazon and Spotify use this model to offer vast catalogs, satisfying diverse consumer tastes and reducing reliance on hit-driven economics.

What industry examples are featured in *Streaming, Sharing, Stealing*?

Case studies include Netflix’s data-driven content strategy, Apple’s iTunes pricing experiments, and Amazon’s dominance in ebook markets. The authors also dissect Blockbuster’s decline and how piracy forced industries like music to adopt streaming models.

What are key takeaways for media companies from *Streaming, Sharing, Stealing*?

1. Prioritize data to predict consumer preferences. 2. Embrace digital distribution to reach global audiences. 3. Balance anti-piracy measures with affordable access. 4. Collaborate with tech innovators rather than resisting disruption.

How does *Streaming, Sharing, Stealing* address digital piracy?

The book argues piracy often stems from poor accessibility and pricing. Services like Spotify reduced music piracy by offering convenient, subscription-based access. It warns industries to adapt quickly—delayed responses risk irreversible revenue loss and brand damage.

Streaming, Compartilhamento e Pirataria

Big Data e o Futuro do Entretenimento

Michael D. Smith & Rahul Telang

3.96(624 Reviews)

Visão geral de Streaming, Compartilhamento e Pirataria

Como a Netflix usou dados para revolucionar Hollywood, encomendando "House of Cards" sem um episódio piloto. Até Kevin Spacey reconheceu: "As coisas estão mudando, e mudando rápido." Descubra por que os titãs da indústria devem se adaptar ou morrer na revolução do streaming de hoje.

Escolha como a história é contada

Um livro. Muitas maneiras de ouvi-lo.

As mesmas ideias de Streaming, Compartilhamento e Pirataria. Escolha a voz, a profundidade e o ritmo ideais para você. Mude quando quiser.

Capítulo 1

When Hollywood Met Silicon Valley: The Digital Revolution That Changed Everything

Imagine a world where a TV show's opening scene features a politician killing a dog, its entire season drops at once, and data analytics-not executive hunches-drive a $100 million production decision. This isn't some alternate reality; it's Netflix's "House of Cards" circa 2013. While traditional networks were still obsessing over pilots and commercial breaks, Netflix was revolutionizing entertainment by leveraging something far more valuable than star power: data. Their algorithm had discovered that viewers who enjoyed director David Fincher's work also watched Kevin Spacey films and the original BBC series-a perfect storm of audience preferences that justified their unprecedented two-season commitment. This wasn't just another show; it was the harbinger of an industry-wide transformation that would leave traditional media scrambling to adapt. As Spotify's Daniel Ek recently observed, "House of Cards" marked the moment when Silicon Valley's data-driven approach officially infiltrated Hollywood's creative sanctuary-and nothing would ever be the same again.

Capítulo 2

The Power Shift: How Digital Distribution Changed Everything

For decades, the entertainment industry operated on a simple principle: control the scarce resources of production and distribution, and you control the market. Major record labels, publishing houses, and movie studios maintained oligopolies by managing both content creation upstream and distribution channels downstream. This structure persisted through numerous technological changes-from phonographs to radio, television to VCRs-because each innovation still required significant capital investment and specialized expertise. When Thomas Edison invented the phonograph in 1877, he initially saw it as a business dictation tool rather than an entertainment device. By 1901, after years of format wars between cylinders and discs, Victor Talking Machine Company and Columbia emerged as the dominant players in the nascent recording industry. Record sales exploded, reaching nearly 150 million units by 1920. Though radio temporarily threatened this business model in the 1920s, improved electric recording technology helped the industry recover until the Great Depression decimated sales. The resulting consolidation created the oligopoly structure that would dominate for decades. By the mid-1950s, just six companies produced almost all hit records. This market concentration created vulnerability to disruptive innovation, which arrived with rock 'n' roll. Established companies initially dismissed it as a teenage fad with limited commercial potential. Frank Sinatra called it music "sung, played and written by cretinous goons," while others condemned its "Negro roots" and "jungle-like persistence." Some even labeled it a "communicable disease." This dismissal created an opening for independent labels, who produced 101 of 147 Top Ten records in the late 1950s. Yet by the mid-1970s, the majors had reasserted control through acquisitions and leveraging their scale advantages. By 1995, six "majors" controlled nearly 85% of the global recording market, with sales reaching 3.8 billion units valued at $40 billion. What made this time different? Digital technology introduced multiple concurrent changes: unlimited distribution capacity, global piracy networks, low-cost production tools, powerful new distributors with unlimited shelf space, and advanced data analytics. Together, these forces fundamentally altered the nature of scarcity in entertainment markets, shifting power from traditional gatekeepers to platforms that could manage consumer attention and leverage customer data.

Veja cada palavra enquanto a ouve

Acompanhe a leitura sem esforço enquanto cada palavra de Streaming, Compartilhamento e Pirataria se destaca em tempo real.

Capítulo 3

The Economics of Experience: Why Entertainment Isn't Like Other Products

Entertainment products face unique economic challenges that shape industry structure and strategy. Unlike physical goods, books, music, and films have high fixed costs but negligible marginal costs for additional copies. They're also "experience goods" that consumers can only fully value after consumption, and different customers have wildly varying valuations for the same product. These characteristics create fundamental pricing dilemmas. Setting a single price is inherently inefficient-charge too high and lose low-value customers; charge too low and leave money on the table from high-value customers. Without perfect information about consumers' values, sellers resort to imperfect strategies like price discrimination. Traditional entertainment companies mastered these challenges through strategic release windows. Publishers released expensive hardcovers followed by cheaper paperbacks months later. Movie studios employed complex windowing strategies through theatrical release, hotel/airline, DVD, pay-per-view, cable networks, and broadcast TV at different price points and quality levels. This approach worked because companies could control both quality and timing of different versions. The hardcover-paperback strategy exemplifies second-degree price discrimination-hardcovers appeal to those willing to pay for quality, usability, and timeliness. The key challenge is preventing high-value customers from trading down to lower-priced versions. Digital distribution threatened this carefully balanced system. When HarperCollins, Viacom/Scribner, Hachette, and Simon & Schuster began delaying e-book releases to protect hardcover sales, they assumed e-books were close substitutes for physical books. Research revealed this assumption was wrong-digital consumers didn't consider print books substitutes. Even worse, delaying e-books reduced their sales by 40% over twenty weeks, suggesting digital consumers either lost interest or found alternatives (possibly pirated copies). Complementarity across release windows can be surprisingly beneficial. HBO broadcasts actually increased DVD purchases, particularly for previously obscure titles. This occurred because pay-cable windows provided discovery opportunities for lesser-known films. By the time blockbusters reached HBO, 89% of potential customers already knew about them, while only 57% knew about obscure films before cable broadcast. The fundamental challenge is that information technology inherently undermines segmentation strategies through rapid information diffusion, easy retrieval, and nearly costless duplication. The critical question for creative industries became how this technological change threatened their sources of market power and business model profitability.

Capítulo 4

Missed Opportunities: How Incumbents Failed to See the Digital Future

Traditional media companies consistently missed opportunities to shape digital distribution because they evaluated innovations based on metrics that served their existing businesses. Two revealing case studies illustrate this pattern of industry disruption. In 1997, Howie Singer and Larry Miller at AT&T launched a2b Music, a pioneering service for secure digital music distribution over the Internet. Their innovation predated iTunes, iPods, and even Napster, offering downloadable digital songs and a portable music device with flash storage. Despite addressing industry concerns with digital rights management and micro-billing capabilities, they met fierce resistance from music executives who couldn't grasp the fundamental shift. One called the reference to music as "bits" insulting, while another complained they spoke "a different fucking language." By rejecting a2b Music, the industry missed its chance to control digital distribution before Apple and others stepped in. Similarly, Encyclopaedia Britannica was at its peak in 1990, earning $650 million selling premium reference sets for up to $2,000 each. When Microsoft approached Britannica in 1985 about licensing their content for a CD-ROM encyclopedia, Britannica refused, fearing it would "hurt our traditional way of selling." The company worried about losing its sales force, diluting its brand authority, and risking its reputation on unproven technology. Meanwhile, Microsoft created Encarta using content from Funk & Wagnalls, offering it for just $99 with features like video, search, and hyperlinks. By 1996, Britannica's sales had plummeted to $325 million. After failed attempts at creating their own digital products, Britannica was sold for just $135 million. In 2012, after Wikipedia's rise, Britannica discontinued its print edition after more than 200 years. These failures stemmed from multiple simultaneous challenges: digital delivery changing how value was delivered, shifts from high-margin direct sales to low-margin retail models, organizational cultures that revered traditional models, and rapidly shifting market power that made the wait-and-see approach ineffective. The entertainment industry's "perfect storm" resulted from the convergence of digital media, micro-computing, mobile technologies, and the Internet. Just as the fishermen in Sebastian Junger's book perished by applying familiar strategies to unprecedented conditions, traditional media companies found themselves overwhelmed by technological changes they weren't prepared to navigate.

Aproveite ainda mais Streaming, Compartilhamento e Pirataria

Receba insights diários de mais de 100 mil lições
As palavras se destacam em sincronia com o áudio
Sua biblioteca salva em todos os dispositivos

Capítulo 5

Beyond Blockbusters: How the Long Tail Changed Consumer Choice

Chris Anderson's "long tail" theory and Anita Elberse's "blockbuster" model represent competing views of how technology changes entertainment businesses. While Anderson argues online sales channels shift consumption toward niche products, Elberse contends blockbusters remain dominant. Both miss the key point-though individual long-tail products don't threaten blockbusters, long-tail processes do. Early internet value came primarily from access to millions of previously unavailable niche products, not just lower prices. In 2000, this "long tail" access generated $700 million to $1 billion in consumer value annually-ten times more than price savings. By 2008, this value had quintupled to $4-5 billion yearly as internet book sales grew from 6% to 30% and available titles increased dramatically. Even truly obscure products create significant value when matched with the right consumers. When consumers shift from physical to online channels, they consistently consume more niche products and fewer blockbusters. Research shows that even when product assortment remains identical between online and catalog channels, consumers still gravitate toward niche products online due to technological characteristics of digital markets. Peer recommendations, rather than creating winner-take-all effects, actually increase diversity-doubling peer influence increases revenue for the least popular 20% of products by 50% while decreasing top products' revenue by 15%. The anonymity of online shopping also reduces social inhibitions, allowing consumers to purchase products they might avoid in person-from difficult-to-pronounce alcohol to high-calorie pizzas to erotic content like "50 Shades of Grey," which began as a self-published e-book before becoming a blockbuster through passionate online promotion. The debate about what percentage of sales come from niche products misses the point-what matters is that consumers gain value from these products through fundamentally different processes. While traditional entertainment industries rely on curation (expert selection) and control (over scarce promotion and distribution), long-tail businesses like Amazon and Netflix rely on selection (wide variety) and satisfaction (using data and recommendations to help consumers discover content). These processes aren't just for niche products-they're increasingly being used to create blockbusters too, as with Netflix's original hits. The real threat to traditional entertainment companies isn't niche products themselves, but that companies specializing in long-tail processes can adapt their platforms, data, and customer connections to compete in the blockbuster market.

Capítulo 6

The Piracy Problem: Digital Theft or Market Failure?

Digital piracy transformed from a limited annoyance to an existential threat when technology made perfect reproduction nearly free and effortless. While entertainment industries fought through legal means like shutting down Napster and proposing legislation like SOPA, debate emerged about whether piracy actually harms sales or might benefit artists through increased exposure. Despite early theoretical models suggesting piracy might benefit industries by increasing awareness or removing price-sensitive consumers, comprehensive academic research reveals a strong consensus: 22 out of 25 peer-reviewed studies show piracy significantly harms legal sales. Beyond just reducing purchases, piracy undermines the entertainment industry's business model by competing on timeliness, quality, and usability-forcing producers to lower prices and change release strategies as consumers gain free, immediate access to high-definition content. Studies demonstrate that targeting piracy sites can effectively change consumer behavior. The Megaupload shutdown caused a 6.5-8.5% increase in digital movie sales, with greater impact in countries where the site was more popular. Similarly, when the UK blocked nineteen piracy sites simultaneously in 2013, visits to legal movie-streaming sites increased by 12% overall (23.6% among heavy users of blocked sites). These findings confirm Steve Jobs' insight that you can't stop piracy but must compete with it-either by making paid content more convenient and reliable, or by making pirated content harder to access. However, piracy isn't the only threat facing entertainment companies; the explosion of self-produced content presents another significant challenge.

Veja cada palavra enquanto a ouve

Acompanhe a leitura sem esforço enquanto cada palavra de Streaming, Compartilhamento e Pirataria se destaca em tempo real.

Capítulo 7

Creator Liberation: How Artists Gained Independence

The digital revolution has democratized content creation and distribution, breaking the traditional gatekeeping power of major studios, publishers, and labels. Production costs have plummeted, with professional-quality equipment now accessible to the masses. Distribution platforms like YouTube, Amazon's Kindle Direct Publishing, and crowdfunding sites like Kickstarter have created new pathways for creators to reach audiences without traditional intermediaries. Artists now have unprecedented ability to bypass traditional gatekeepers. Many independent artists eventually "graduate" to major labels, but with significantly more negotiating power. Amanda Hocking, after self-publishing success, started a bidding war among publishers that resulted in offers exceeding $2 million. Established artists are also leveraging new options-Radiohead released "In Rainbows" independently with a pay-what-you-want model, earning more digital income than from all their previous albums combined. Louis C.K. earned $750,000 profit in 12 days by selling his comedy special directly to fans for $5. J.K. Rowling retained digital rights to Harry Potter, creating Pottermore.com as the exclusive e-book seller, forcing even Amazon to refer customers there. Technology has fundamentally changed how consumers interact with content, with many shifting to independently produced material. Despite industry dismissal of self-produced content as "inferior," market data shows independent artists increasing their market share from 25.8% to 34.5% between 2007-2014, now exceeding any individual major label. Self-published titles grew 300% from 2006-2012, surpassing traditionally published works. The most dramatic shift appears in motion pictures, where millennials are abandoning traditional media-movie theater attendance among young people dropped 40% from 2002-2012, prime-time TV ratings for 18-49-year-olds fell 50% from 2002-2011, and one in four millennials has cut cable service. Instead, they're going online-YouTube now reaches more 18-34-year-olds than any cable network, and 50% of 18-24-year-olds say they "can't live without their smartphone." The explosion of self-produced content is transforming relationships between content providers and online distributors. Book titles increased from 122,000 in 2000 to 3.1 million in 2010, new music albums quadrupled, and YouTube receives 300 hours of video uploads every minute. This abundance has shifted the discovery process from top-down curation by industry gatekeepers to downstream platforms that aggregate content, learn consumer preferences, and make personalized recommendations.

Capítulo 8

Platform Power: The New Gatekeepers

When traditional media companies attempt to assert power over digital distributors, they often discover the balance of power has shifted dramatically. NBC's 2007 standoff with Apple illustrates this perfectly. Believing it had leverage as the top supplier of video content (40% of iTunes video sales), NBC refused to renew its iTunes contract, assuming customers would simply migrate to other legal platforms like Hulu, Amazon Unbox, or their planned NBC Direct service. The strategy backfired spectacularly. The weekly increase in BitTorrent downloads after NBC pulled content from iTunes was twice the total weekly iTunes sales before removal. Once customers learned BitTorrent, they downloaded entire seasons instead of just selected episodes. The piracy surge created more robust BitTorrent "swarms," making even older NBC shows like Saved by the Bell and Xena available for piracy. Legal alternatives saw minimal adoption-DVD sales didn't increase, and NBC.com, Hulu, and Amazon Unbox captured only a tiny fraction of former iTunes consumption. Worse still, piracy for ABC, CBS, and Fox increased 5.8% as iTunes customers who learned to pirate NBC content applied those skills to other networks. When NBC returned to iTunes in September 2008 with essentially the same terms they'd previously rejected, piracy decreased by only 7.7%-far less than the initial surge. The damage was done. The Internet threatens entertainment industries not just through long tail processes, piracy, and increased artist power, but by concentrating retail power in the hands of a few dominant players. While Amazon, iTunes, and Netflix have helped the industries in many ways, they've also reversed the traditional power dynamic where studios and publishers could play retailers off against each other. Several factors create barriers to entry in online retail: First, consumer search costs-the time and cognitive effort required to compare prices and learn new websites-make users willing to pay more for convenience rather than shop around. Second, uncertainty about retailer quality drives consumers toward established, popular platforms they trust. Third, personalized recommendations increase switching costs, as sites that have accumulated customer data can provide more accurate suggestions. Consumers strongly prefer having all their digital content on a single platform rather than scattered across multiple services. Beyond search and switching costs, digital-rights-management encoding often restricts purchased content to a particular distributor's ecosystem. Once consumers own multiple iTunes movies or Kindle books, they're effectively trapped in that ecosystem, making it extremely difficult for new entrants to gain market footholds. Digitization enables selling entertainment in large bundles more profitably than would be possible with physical goods, creating significant economies of scale. Bundling works similarly to price discrimination-with a large enough bundle (like Netflix's 10,000 shows), sellers can accurately predict the average value across consumers, even when individual preferences vary widely. When bundlers compete, the firm with the larger bundle gains two advantages: better prediction of consumer valuations and greater ability to outbid smaller competitors when licensing content.

Aproveite ainda mais Streaming, Compartilhamento e Pirataria

Receba insights diários de mais de 100 mil lições
As palavras se destacam em sincronia com o áudio
Sua biblioteca salva em todos os dispositivos

Capítulo 9

Data-Driven Decisions: The New Currency of Entertainment

Unlike traditional studios who rely on "gut feel" and consider themselves tastemakers, companies like Amazon and Netflix embrace data to determine content production. Amazon's Bill Carr states plainly: "We let the data drive what to put in front of customers." This represents a fundamental cultural shift that traditional entertainment companies struggle with. Unlike baseball's "Moneyball" revolution where all teams could access the same statistics, entertainment platforms maintain strict control over customer data. Netflix knows what content users watch, when they watch it, on what devices, and which scenes they skip or replay. Amazon combines streaming data with e-commerce behavior. These platforms create virtuous cycles where customer data improves experiences, increasing loyalty and revealing more preferences. However, they share almost no customer-level data with content creators. Apple provides only transaction data with anonymized IDs, while Amazon, Google, and Netflix share even less-sometimes only aggregate view counts across entire regions. This data hoarding represents a strategic shift; when Amazon launched its video store in 1998, it initially attracted studios by promising data insights. Now as content producers themselves, platforms use their data advantage to identify overlooked "blockbuster" opportunities and profitably produce "long-tail" content for specific audiences. Some industry executives argue that data can't be used to make creative decisions without interfering with the creative process. This objection has two flaws. First, Netflix's Ted Sarandos clarifies they don't use data to interfere with creativity but rather to identify promising shows worth heavy investment. Second, creators actually enjoy more freedom with data-driven platforms. Kevin Spacey highlighted how his experience with Netflix was creatively liberating compared to traditional television where network executives micromanaged every decision. Data-driven content is winning critical acclaim too-at the 2015 Golden Globes, Amazon's "Transparent" won Best Comedy, beating Netflix's "Orange Is the New Black." By 2016, Netflix received more Golden Globe nominations than any network, ending HBO's 14-year dominance and nearly matching all broadcast networks combined. This success is drawing established talent away from traditional studios, causing industry concern about a "talent drain" to new platforms.

Capítulo 10

The Path Forward: Reinventing Entertainment for the Digital Age

To compete in the digital age, entertainment industries must harness customer-level data and embrace data-driven decision making-requiring significant organizational changes in industries with structures hardened decades before such data became valuable. Harrah's Entertainment's transformation under Gary Loveman offers valuable lessons for this transition. Loveman's first priority was breaking down the fiefdom-like structure where casino managers operated autonomously. He centralized reporting, signaling that customers belonged to Harrah's, not individual casinos. This painful reorganization allowed Harrah's to centralize customer data across properties and extract value from their database containing millions of transaction records and customer preferences. Loveman elevated data analytics to C-level importance, hiring quantitative experts and infusing analytics into Harrah's culture by demanding all decisions be tested rigorously rather than based on hunches. This approach revealed surprising insights: 26% of customers generated 82% of revenue, and their most profitable customers weren't high-rollers but middle-aged and senior slot players. With customer-level data, Harrah's could predict lifetime customer value based on minimal playing information, comparing predictions against actual behavior to target promotions effectively. Their integrated platform enabled controlled experiments that often contradicted industry assumptions-like discovering $60 in free chips outperformed a $125 package with room and meals. The strategy worked brilliantly-by 2003, Harrah's posted sixteen straight quarters of revenue growth with $4 billion in revenue. Entertainment companies must implement similar data-driven strategies to compete in today's marketplace. Like pre-Loveman Harrah's, studios maintain data silos with information spread across business units unwilling to share with each other. Studios should centralize data analytics at the C-level for four reasons: data is most useful when linked across datasets; centralization increases analytics talent effectiveness; elevating data analytics helps attract and retain talent; and centralized reporting provides objective answers to controversial questions without pressure from individual business units. Data analytics can determine optimal product strategies in evolving markets. When the music industry faced digital disruption, conventional wisdom held that selling singles hurt business more than piracy. Through experimentation with a major label, researchers discovered artists and labels actually make more money selling digital singles than exclusively offering albums-contradicting industry assumptions. The instinct to disadvantage digital channels to protect physical sales is fundamentally flawed. Analysis of 2012-2013 data showed that delaying digital movie releases after DVD releases cut digital sales by almost half while providing no statistical increase in DVD sales. Without embracing digital distribution, studios miss crucial benefits: market evaluation capabilities, efficient promotion, and the ability to conduct detailed experiments about consumer behavior. To succeed in entertainment's future, companies must control both content production and the customer interface that generates valuable data. For a century, major studios and labels created value by managing scarcity in distribution channels and production resources. Digital technology has eliminated these scarcities-anyone can create content and distribution channels have multiplied. The keys to future success lie in two new scarce resources: understanding customers' needs and managing their attention. This requires entertainment firms to prioritize data-driven decision making and make bold investments in direct-to-consumer distribution platforms. Though challenging, this transition demands the same qualities that have always defined success in entertainment: risk-taking on emerging opportunities, investment in talent, creative audience connection, and the skill to transform concepts into reality.

★★★★★

Você chegou ao fim de Streaming, Compartilhamento e Pirataria

Amado por mais de 1 milhão de estudantes

“Já se passaram 23 dias e usei o app todos os dias. Ele agora faz parte da minha rotina.”

jayallen

Temas principais em Streaming, Compartilhamento e Pirataria

digital distribution strategy
data-driven entertainment
market power shift
content piracy economics
price discrimination models

Citações de Streaming, Compartilhamento e Pirataria

This wasn't just another show; it was the harbinger of an industry-wide transformation.
Frank Sinatra called it music 'sung, played and written by cretinous goons'.
Digital consumers didn't consider print books substitutes.
Delaying e-books reduced their sales by 40% over twenty weeks.
One called the reference to music as 'bits' insulting.

Personagens de Streaming, Compartilhamento e Pirataria

Michael D. SmithAuthor and expert on digital media markets
Rahul TelangAuthor and expert on digital media markets
Daniel EkSpotify founder who observed industry shifts
David FincherDirector whose work influenced Netflix's data

Sobre o Autor

Michael D. Smith e Rahul Telang, os autores de Streaming, Sharing, Stealing: Big Data and the Future of Entertainment, são especialistas renomados em economia de mídia digital e estratégias de negócios orientadas por dados. Como professores na Heinz College da Carnegie Mellon University, eles combinam rigor acadêmico com percepções do setor para analisar como o big data está remodelando os mercados de entretenimento.

O livro deles aprofunda-se em temas de disrupção tecnológica, o impacto econômico da pirataria e as estratégias competitivas empregadas por plataformas como Netflix e Amazon. Smith e Telang produziram pesquisas inovadoras sobre os efeitos da pirataria digital nas vendas de DVDs e no consumo de mídia, as quais foram citadas em publicações como Management Science e destacadas em conferências do setor.

Estabelecendo uma ponte entre a academia e as aplicações no mundo real, o trabalho deles oferece estruturas acionáveis para empresas de mídia tradicionais enquanto navegam na era digital. Publicada pela MIT Press, sua análise aclamada pela crítica tornou-se leitura essencial para qualquer pessoa que busque compreender a interseção entre dados, tecnologia e entretenimento.

Baixar resumo de Streaming, Compartilhamento e Pirataria

Obtenha o resumo de Streaming, Compartilhamento e Pirataria como PDF ou EPUB gratuito. Imprima ou leia offline a qualquer momento.

Usuários também gostaram

Big Data

Viktor Mayer-Schönberger & Kenneth Cukier

Amazon

Natalie Berg & Miya Knights

Data-Driven Marketing

Mark Jeffery

Big Picture

Ben Fritz

Big Data

Bernard Marr

Platform Revolution

Geoffrey G. Parker & Marshall W. Van Alstyne & Sangeet Paul Choudary

The Smarter Screen

Shlomo Benartzi

No Ordinary Disruption

Richard Dobbs & James Manyika & Jonathan Woetzel

Perguntas Frequentes Sobre Este Livro

Parte de um plano de aprendizagem

PLANO DE APRENDIZADO

Media Production & Financial Management

5 h 12 m•4 Episódios

Descubra mais

PLANO DE APRENDIZADO

The Digital Power Grab

In an era where data is the new oil, understanding the intersection of technology and political power is essential for maintaining democratic integrity. This plan is designed for policy advocates, tech ethics students, and concerned citizens who want to understand how surveillance capitalism reshapes our social and political institutions.

1 h 12 m•3 Seções

PLANO DE APRENDIZADO

Movie storytelling

This plan bridges the gap between creative writing and technical filmmaking for aspiring directors and screenwriters. It provides a comprehensive roadmap for anyone looking to master the art of visual narrative and professional industry standards.

6 h 15 m•5 Seções

PLANO DE APRENDIZADO

learn how to write a screenplay

This comprehensive plan bridges the gap between creative inspiration and professional execution in the competitive film industry. It is designed for aspiring writers who want to master both the technical craft of formatting and the strategic business side of Hollywood.

4 h 8 m•4 Seções

PLANO DE APRENDIZADO

Master YouTube scripting & video planning

YouTube has become one of the most powerful platforms for creators, educators, and businesses to reach global audiences, but success requires more than just hitting record. This learning plan is essential for aspiring content creators, marketers, educators, and entrepreneurs who want to cut through the noise and create videos that attract, engage, and retain viewers while building a loyal audience.

4 h 48 m•4 Seções

PLANO DE APRENDIZADO

Deep Literary Analysis Podcast Scriptwriter

This plan bridges the gap between rigorous academic critique and modern digital media production. It is ideal for literature enthusiasts, educators, or aspiring podcasters who want to transform complex textual interpretations into high-quality audio content.

5 h 8 m•4 Seções

PLANO DE APRENDIZADO

Billionaires, Bots, and the Ballot

In an era where tech giants and high-net-worth individuals wield unprecedented power, understanding the mechanics of modern democracy is essential. This plan is ideal for political analysts, tech policy advocates, and concerned citizens looking to navigate the intersection of private capital and state machinery.

1 h 30 m•3 Seções

PLANO DE APRENDIZADO

Social media effects review

Social media has become deeply embedded in daily life, yet most users remain unaware of its engineered design and far-reaching consequences on mental health and society. This learning plan is essential for anyone who uses social media and wants to understand its true impact while developing practical strategies to navigate the digital world more mindfully and intentionally.

4 h 32 m•4 Seções

PLANO DE APRENDIZADO

The Data Science Engine

In an increasingly data-driven economy, understanding the end-to-end lifecycle of information is a critical competitive advantage. This plan is ideal for aspiring data professionals and managers who need to bridge the gap between technical execution and ethical leadership.

2 h•4 Seções

Criado por ex-alunos da Universidade de Columbia em San Francisco

LOVED BY

1,000,000+ curious minds.

4.7

avg rating

1M+ learners

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

Veja mais sobre como o BeFreed é discutido na web

Criado por ex-alunos da Universidade de Columbia em San Francisco

LOVED BY

1,000,000+ curious minds.

4.7

avg rating

1M+ learners

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

Veja mais sobre como o BeFreed é discutido na web

Comece sua jornada de aprendizado, agora

Capítulo 10

Streaming, Compartilhamento e Pirataria

Visão GeralVisão geral de Streaming, Compartilhamento e Pirataria

Um livro. Muitas maneiras de ouvi-lo.

When Hollywood Met Silicon Valley: The Digital Revolution That Changed Everything

The Power Shift: How Digital Distribution Changed Everything

Veja cada palavra enquanto a ouve

The Economics of Experience: Why Entertainment Isn't Like Other Products

Missed Opportunities: How Incumbents Failed to See the Digital Future

Aproveite ainda mais Streaming, Compartilhamento e Pirataria

Beyond Blockbusters: How the Long Tail Changed Consumer Choice

The Piracy Problem: Digital Theft or Market Failure?

Veja cada palavra enquanto a ouve

Creator Liberation: How Artists Gained Independence

Platform Power: The New Gatekeepers

Aproveite ainda mais Streaming, Compartilhamento e Pirataria

Data-Driven Decisions: The New Currency of Entertainment

The Path Forward: Reinventing Entertainment for the Digital Age

Você chegou ao fim de Streaming, Compartilhamento e Pirataria

Temas principais em Streaming, Compartilhamento e Pirataria

Citações de Streaming, Compartilhamento e Pirataria

Personagens de Streaming, Compartilhamento e Pirataria

Sobre o Autor

Baixar resumo de Streaming, Compartilhamento e Pirataria

Usuários também gostaram

Perguntas Frequentes Sobre Este Livro

What is Streaming, Sharing, Stealing about?

Who should read Streaming, Sharing, Stealing?

Is Streaming, Sharing, Stealing worth reading?

How does Streaming, Sharing, Stealing explain Netflix’s success?

Parte de um plano de aprendizagem

Media Production & Financial Management

Descubra mais

1,000,000+ curious minds.

1,000,000+ curious minds.

Um livro. Muitas maneiras de ouvi-lo.

When Hollywood Met Silicon Valley: The Digital Revolution That Changed Everything

The Power Shift: How Digital Distribution Changed Everything

Veja cada palavra enquanto a ouve

The Economics of Experience: Why Entertainment Isn't Like Other Products

Missed Opportunities: How Incumbents Failed to See the Digital Future

Aproveite ainda mais Streaming, Compartilhamento e Pirataria

Beyond Blockbusters: How the Long Tail Changed Consumer Choice

The Piracy Problem: Digital Theft or Market Failure?

Veja cada palavra enquanto a ouve

Creator Liberation: How Artists Gained Independence

Platform Power: The New Gatekeepers

Aproveite ainda mais Streaming, Compartilhamento e Pirataria

Data-Driven Decisions: The New Currency of Entertainment

The Path Forward: Reinventing Entertainment for the Digital Age

Você chegou ao fim de Streaming, Compartilhamento e Pirataria

Usuários também gostaram

Parte de um plano de aprendizagem

Media Production & Financial Management

Descubra mais

Visão geral de Streaming, Compartilhamento e Pirataria