Viral Facebook Quotes

Can you imagine doing ministry the last five hundred years and getting away with ‘Sorry, I don’t do books’? Can you imagine doing ministry in the next five years and getting away with ‘Sorry, I don’t do Facebook’?

Many historians still tend to assume that the spread of an idea or an ideology is a function of its inherent content in relation to some vaguely specified context. We must now acknowledge, however, that some ideas go viral because of structural features of the network through which they spread. They are least likely to do so in a hierarchical, top-down network, where horizontal peer-to-peer links are prohibited.

During my first few months of Facebooking, I discovered that my page had fostered a collective nostalgia for specific cultural icons. These started, unsurprisingly, within the realm of science fiction and fantasy. They commonly included a pointy-eared Vulcan from a certain groundbreaking 1960s television show. Just as often, though, I found myself sharing images of a diminutive, ancient, green and disarmingly wise Jedi Master who speaks in flip-side down English. Or, if feeling more sinister, I’d post pictures of his black-cloaked, dark-sided, heavy-breathing nemesis. As an aside, I initially received from Star Trek fans considerable “push-back,” or at least many raised Spock brows, when I began sharing images of Yoda and Darth Vader. To the purists, this bordered on sacrilege.. But as I like to remind fans, I was the only actor to work within both franchises, having also voiced the part of Lok Durd from the animated show Star Wars: The Clone Wars. It was the virality of these early posts, shared by thousands of fans without any prodding from me, that got me thinking. Why do we love Spock, Yoda and Darth Vader so much? And what is it about characters like these that causes fans to click “like” and “share” so readily? One thing was clear: Cultural icons help people define who they are today because they shaped who they were as children. We all “like” Yoda because we all loved The Empire Strikes Back, probably watched it many times, and can recite our favorite lines. Indeed, we all can quote Yoda, and we all have tried out our best impression of him. When someone posts a meme of Yoda, many immediately share it, not just because they think it is funny (though it usually is — it’s hard to go wrong with the Master), but because it says something about the sharer. It’s shorthand for saying, “This little guy made a huge impact on me, not sure what it is, but for certain a huge impact. Did it make one on you, too? I’m clicking ‘share’ to affirm something you may not know about me. I ‘like’ Yoda.” And isn’t that what sharing on Facebook is all about? It’s not simply that the sharer wants you to snortle or “LOL” as it were. That’s part of it, but not the core. At its core is a statement about one’s belief system, one that includes the wisdom of Yoda. Other eminently shareable icons included beloved Tolkien characters, particularly Gandalf (as played by the inimitable Sir Ian McKellan). Gandalf, like Yoda, is somehow always above reproach and unfailingly epic. Like Yoda, Gandalf has his darker counterpart. Gollum is a fan favorite because he is a fallen figure who could reform with the right guidance. It doesn’t hurt that his every meme is invariably read in his distinctive, blood-curdling rasp. Then there’s also Batman, who seems to have survived both Adam West and Christian Bale, but whose questionable relationship to the Boy Wonder left plenty of room for hilarious homoerotic undertones. But seriously, there is something about the brooding, misunderstood and “chaotic-good” nature of this superhero that touches all of our hearts.

Keeping the police videos from the public and the press - along with Judge Cahill’s gag order, and his decisions and instructions about the body cam videos - allowed [Attorney General] Ellison and the prosecution to maintain control of the narrative. It might seem obvious now: without the police videos, there was nothing to compare to the viral Facebook video. Since there was no basis for comparison, the viral Facebook video - and freeze-frame screenshots that were used extensively by the media and the Left - were etched into the collective memory of just about everyone in America.

How is it, then, that Infinite Jest still feels so transcendently, electrically alive? Theory one: as a novel about an “entertainment” weaponized to enslave and destroy all who look upon it, Infinite Jest is the first great Internet novel. Yes, William Gibson and Neal Stephenson may have gotten there first with Neuromancer and Snow Crash, whose Matrix and Metaverse, respectively, more accurately surmised what the Internet would look and feel like. (Wallace, among other things, failed to anticipate the break from cartridge- and disc-based entertainment.) But Infinite Jest warned against the insidious virality of popular entertainment long before anyone but the most Delphic philosophers of technology. Sharing videos, binge-watching Netflix, the resultant neuro-pudding at the end of an epic gaming marathon, the perverse seduction of recording and devouring our most ordinary human thoughts on Facebook and Instagram—Wallace somehow knew all this was coming, and it gave him (as the man himself might have put it) the howling fantods.

Facebook’s success was, in part, a result of what I call the more is more principle — more frequent usage drives more viral growth.

Having a greater proportion of users returning to a service daily, dramatically increases Viral Cycle Time for two reasons: First, daily users initiate loops more often (think tagging a friend in a Facebook photo); second, more daily active users means more people to respond and react to each invitation.

3. Relationship Triggers One person telling others about a product or service can be a highly effective external trigger for action. Whether through an electronic invitation, a Facebook “Like,” or old fashioned word-of-mouth, product referrals from friends and family are often a key component of technology diffusion. Relationship triggers can create the viral hypergrowth entrepreneurs and investors lust after.

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Reach—Facebook breaks down reach into organic, paid, and viral. Organic reach is the number of people who have seen a post in the news feed, in the ticker, or on the page itself. Paid reach is the number of unique people who have seen an advertisement or a sponsored story. Viral reach is the number of unique people who have seen a story about a page published by a friend.

Never underestimate a viral trend on the Internet

Therefore, with these celebrity wannabees, 1) popularity—or the appearance of it—can be measured by how many Facebook friends or Twitter followers one has managed to acquire; 2) fame—however fleeting—can be attained by many through appearing on reality television shows or in videos gone viral on YouTube; even 3) wealth—or the appearance of it—can be attained through the buying of expensive homes, cars, and various adult toys on relatively cheap credit; and, finally, 4) real power is admittedly harder to achieve but not beyond the grasp of those willing to sacrifice ethics and do whatever it takes to attain it. This fourth quality or possession is probably as it has always been, but having easier access to the other three may just put this one within the grasp of more, especially those undeserving of it or who would possibly misuse it. Thankfully, not everyone in this category craves or seeks power. But beware those who do.

Facebook’s success was, in part, a result of what I call the more is more principle—more frequent usage drives more viral growth.

On Facebook, our basic humanity is reframed as an exploitable viral asset. Our social potential is compressed to our ability to command public attention, which is then made inextricable from economic survival. Instead of fair wages and benefits, we have our personalities and stories and relationships, and we'd better learn to package them well for the internet in case we ever get in an accident while uninsured.

A product is viral if its core functionality encourages users to invite their friends to become users too. This is how Facebook and PayPal both grew quickly: every time someone shares with a friend or makes a payment, they naturally invite more and more people into the network. This isn’t just cheap—it’s fast, too.

Great moments are ephemeral, like a lovely text message or viral twitter moment, but when lived, it's like looking through the eyes of humanity.

For the same reason, added McKinsey, “products can go viral on a scale that has never been seen before. In 2015, Adele’s song ‘Hello’ racked up fifty million views on YouTube in its first forty-eight hours, and her album 25 sold a record 3.38 million copies in the United States in its first week alone, more than any other album in history. In 2012, Michelle Obama wore a dress from British online fashion retailer ASOS in a photo that was re-tweeted 816,000 times and shared more than four million times on Facebook; it instantly sold out.

Given the overwhelmingly positive effects of this Facebook effort, the brand considered making massive marketing budget cuts to TV and print advertising in favor of more spend on social media channels. MMM analysis suggested that digital marketing (online display, Facebook advertising and Facebook viral) would deliver the same impact as traditional marketing (TV and print), but at only 15 percent of the cost.

Persson did not create Minecraft because he wanted to create a billion-dollar company; he loved video games and kept his day job while developing it. When the game soared in popularity, he started a company, Mojang, with some of the profits, but kept it small, with just 12 employees. Even with zero dollars spent on marketing and no user instructions, Minecraft grew exponentially, flying past the 100 million registered user mark in 2014 based largely on word of mouth.2 Players shared user-generated extras like modifications (“mods”) and custom maps with each other, and the game caught on not only with children but their parents and even educators. Still, Persson avoided the valuation game, refusing an investment offer from former Facebook president Sean Parker. Finally, he and his co-founders sold Mojang to Microsoft for $2.5 billion, a fortune built on one man’s focus on creating something that people loved.3 On the other end of the spectrum is Zynga, one of the fastest startups ever to reach a $1 billion valuation.4 The social game developer had its first hit in 2009 with FarmVille. Next came Zynga’s partnership with Facebook that turned into a growth engine. The company began trading on the NASDAQ in December 2011 and had 253 million active users per month as late as the first quarter of 2013.5 Then the relationship with Facebook ended and the wheels started coming off. Flush with IPO cash, Zynga started exhibiting all the symptoms of ego-driven, grow-at-any-cost syndrome. They moved into a $228 million headquarters in San Francisco. They began hastily acquiring companies like NaturalMotion, Newtoy, and Area/Code. They infuriated customers by launching new games without sufficient testing and filling them with scripts that signed players up for unwanted subscriptions and services. When customer outrage went viral, instead of focusing on building better products, Zynga hired a behavioral psychologist to try to trick customers into loving its games.6 In a 2009 speech at Startup@Berkeley, CEO Mark Pincus said, “I funded [Zynga] myself but I did every horrible thing in the book to just get revenues right away. I mean, we gave our users poker chips if they downloaded this Zwinky toolbar, which . . . I downloaded it once — I couldn’t get rid of it. We did anything possible just to just get revenues so that we could grow and be a real business.”7 By the spring of 2016, Zynga had laid off about 18 percent of its workforce and its share price had declined from $14.50 in 2012 to about $2.50.

So designing spreadable value units is a crucial step toward virality. A spreadable value unit may be one that helps to start an interaction on an external network, the way Instagram photos create conversations on Facebook among users intrigued by the images they’ve seen. Or it may create the opportunity to complete an incomplete interaction, the way an unanswered question on Quora demands social feedback in the form of an answer, or a fresh survey on Survey-Monkey invites responses. Making it easy for users to create and disseminate spreadable value units helps you build a platform that has high growth as well as high engagement.

rumours can go viral without sophisticated information technology.

News organizations had been designing more clickable headlines ever since the social network became key to their distribution. But those news organizations were getting beaten by these new players, who had come up with an easier, more lucrative way to go viral—by making up stories that played on Americans’ hopes and fears, and therefore winning via the Facebook algorithm.

Over the years, Facebook has executed an effective playbook that does exactly this, at scale. Take Instagram as an example—in the early days, the core product tapped into Facebook’s network by making it easy to share photos from one product to the other. This creates a viral loop that drives new users, but engagement, too, when likes and comments appear on both services. Being able to sign up to Instagram using your Facebook account also increases conversion rate, which creates a frictionless experience while simultaneously setting up integrations later in the experience. A direct approach to tying together the networks relies on using the very established social graph of Facebook to create more engagement. Bangaly Kaba, formerly head of growth at Instagram, describes how Instagram built off the network of its larger parent: Tapping into Facebook’s social graph became very powerful when we realized that following your real friends and having an audience of real friends was the most important factor for long-term retention. Facebook has a very rich social graph with not only address books but also years of friend interaction data. Using that info supercharged our ability to recommend the most relevant, real-life friends within the Instagram app in a way we couldn’t before, which boosted retention in a big way. The previous theory had been that getting users to follow celebrities and influencers was the most impactful action, but this was much better—the influencers rarely followed back and engaged with a new user’s content. Your friends would do that, bringing you back to the app, and we wouldn’t have been able to create this feature without Facebook’s network. Rather than using Facebook only as a source of new users, Instagram was able to use its larger parent to build stronger, denser networks. This is the foundation for stronger network effects. Instagram is a great example of bundling done well, and why a networked product that launches another networked product is at a huge advantage. The goal is to compete not just on features or product, but to always be the “big guy” in a competitive situation—to bring your bigger network as a competitive weapon, which in turn unlocks benefits for acquisition, engagement, and monetization. Going back to Microsoft, part of their competitive magic came when they could bring their entire ecosystem—developers, customers, PC makers, and others—to compete at multiple levels, not just on building more features. And the most important part of this ecosystem was the developers.

My friend Bangaly Kaba, formerly head of growth at Instagram, called this idea the theory of “Adjacent Users.” He describes his experience at Instagram, which several years post-launch was growing fast but not at rocketship speed: When I joined Instagram in 2016, the product had over 400 million users, but the growth rate had slowed. We were growing linearly, not exponentially. For many products, that would be viewed as an amazing success, but for a viral social product like Instagram, linear growth doesn’t cut it. Over the next 3 years, the growth team and I discovered why Instagram had slowed, developed a methodology to diagnose our issues, and solved a series of problems that reignited growth and helped us get to over a billion users by the time I left. Our success was anchored on what I now call The Adjacent User Theory. The Adjacent Users are aware of a product and possibly tried using it, but are not able to successfully become an engaged user. This is typically because the current product positioning or experience has too many barriers to adoption for them. While Instagram had product-market fit for 400+ million people, we discovered new groups of billions of users who didn’t quite understand Instagram and how it fit into their lives.67 In my conversations with Bangaly on this topic, he described his approach as a systematic evaluation of the network of networks that constituted Instagram. Rather than focusing on the core network of Power Users—the loud and vocal minority that often drive product decisions—instead the approach was to constantly figure out the adjacent set of users whose experience was subpar. There might be multiple sets of nonfunctional adjacent networks at any given time, and it might require different approaches to fix each one. For some networks, it might be the features of the product, like Instagram not having great support for low-end Android apps. Or it might be because of the quality of their networks—if the right content creators or celebrities hadn’t yet arrived. You fix the experience for these users, then ask yourself again, who are the adjacent users? Then repeat. Bangaly describes this approach: When I started at Instagram, the Adjacent User was women 35–45 years old in the US who had a Facebook account but didn’t see the value of Instagram. By the time I left Instagram, the Adjacent User was women in Jakarta, on an older 3G Android phone with a prepaid mobile plan. There were probably 8 different types of Adjacent Users that we solved for in-between those two points. To solve for the needs of the Adjacent User, the Instagram team had to be nimble, focusing first on pulling the audience of US women from the Facebook network. This required the team to build algorithmic recommendations that utilized Facebook profiles and connections, so that Instagram could surface friends and family on the platform—not just influencers. Later on, targeting users in Jakarta and in other developing countries might involve completely different approaches—refining apps for low-end Android phones with low data connections. As the Adjacent User changes, the strategy has to change as well.

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Some things in life are beyond our control. When we are in that situation, we feel overwhelmed as we try everything in our power to control it. But that is useless! The founders of WhatsApp did not get jobs at Twitter and Facebook when they applied, which worked out in their favour in the future. Hence, what we see as bad at one point in time can turn out to be the best thing to happen to us. Just as I could not control the virality of my ‘out-of-context’ video, similarly there are many situations in life that are out of our control. Think: Is this in my control? If yes, you can do something about it. If no, then you cannot do anything about it. Therefore, in both circumstances, why worry?

Trump wasn’t doing anything to game Facebook. He simply was what Facebook liked.

If Facebook’s staff thought Barack Obama was the culmination of what they’d built, it turned out he was just a way station on the road to Donald Trump.

Donald Trump was made for Facebook. So was another type of content: attacks on Hillary Clinton.

As David Skok, tech entrepreneur turned venture capitalist, points out, “The most important factor to increasing growth is . . . Viral Cycle Time.”7 Viral Cycle Time is the amount of time it takes a user to invite another user, and it can have a massive impact. “For example, after 20 days with a cycle time of two days, you will have 20,470 users,” Skok writes. “But if you halved that cycle time to one day, you would have over 20 million users! It is logical that it would be better to have more cycles occur, but it is less obvious just how much better.” Having a greater proportion of users daily returning to a service dramatically decreases Viral Cycle Time for two reasons: First, daily users initiate loops more often (think tagging a friend in a Facebook photo); second, more daily active users means more people to respond and react to each invitation. The cycle not only perpetuates the process—with higher and higher user engagement, it accelerates it.

But, following a familiar script, the company was unwilling to do anything that would slow down the platform—so it was embarking on a strategy of simply denying virality to hand-picked entities that it feared. And the work was moving ahead at a high speed.

on Facebook, originality wasn’t an asset; it was a liability. Even for talented content creators, most posts turned out to be duds. But things that had already gone viral nearly always would do so again.

In October 2018, Sri Lankan civil leaders gave Facebook’s regional office, which oversees South Asia’s 400 million users from India, a stark presentation. Hate speech and misinformation were overrunning the platform, seemingly promoted by its algorithms. Violent extremists operated some of its most popular pages. Viral falsehoods were becoming consensus reality for users. Facebook, after all, had displaced local news outlets, just as it had in Myanmar, where villages were still burning. Sri Lanka might be next. Separately, government officials met privately with Facebook’s regional chiefs in Colombo. They pleaded with the company to better police the hate speech on their platform. These posts and pages violated the company’s own rules. Why wouldn’t Facebook act?

Parlor would be falsely accused of promoting violence at a time when Twitter allowed a “Hang Mike Pence” meme to go viral and while Twitter and Facebook draw considerable revenue from porn and child exploitation.

PROVEN PATTERN #1: BITS RATHER THAN ATOMS Google and Facebook are largely software businesses that focus on electronic bits rather than material atoms. Bits-based businesses have a much easier time serving a global market, which in turn makes it easier to achieve a large market size. Bits are also far easier to move around than atoms, so bits-based businesses can more easily tap into distribution techniques like virality, and their ability to be highly networked provides more opportunities to leverage network effects. Bits-based businesses tend to be high-gross-margin businesses because they have fewer variable costs. Bits also make it easier to design around growth limiters. You can iterate more quickly on software products (many Internet companies release new software daily) than on physical products, making it faster and cheaper to achieve product/market fit. And

In the viral engine of growth, monetary exchange does not drive new growth; it is useful only as an indicator that customers value the product enough to pay for it. If Facebook or Hotmail had started charging customers in their early days, it would have been foolish, as it would have impeded their ability to grow. However, it is not true that customers do not give these companies something of value: by investing their time and attention in the product, they make the product valuable to advertisers. Companies that sell advertising actually serve two different groups of customers—consumers and advertisers—and exchange a different currency of value with each.

I first discovered Ryan Daniel Moran when I saw his now-famous t-shirt in a viral video on Facebook. It read: Democrat Republican ENTREPRENEUR

One of the world’s great human rights catastrophes—unfolding as I write—is the plight of the Rohingya population of Myanmar. As it turns out, this crisis corresponded to the arrival of Facebook, which was quickly inundated by shitposts aimed at the Rohingya.3 At the same time, viral lies about child abductions, in that case mostly on Facebook’s WhatsApp, have destabilized parts of India.4 According to a United Nations report, social media is also a massively deadly weapon, literally, in South Sudan—because of shitposts.5

Free” has an incredible power that no other pricing does. The Duke behavioral economist Dan Ariely wrote about the power of free in his excellent book Predictably Irrational, describing an experiment in which he offered research subjects the choice of a Lindt chocolate truffle for 15 cents or a Hershey’s Kiss for a mere penny. Nearly three-fourths of the subjects chose the premium truffle rather than the humble Kiss. But when Ariely changed the pricing so that the truffle cost 14 cents and the Kiss was free—the same price differential—more than two-thirds of the subjects chose the inferior (but free) Kisses. The incredible power of free makes it a valuable tool for distribution and virality. It also plays an important role in jump-starting network effects by helping a product achieve the critical mass of users that is required for those effects to kick in. At LinkedIn, we knew that our basic accounts had to be free if we wanted to get to the million users we theorized represented critical mass. Sometimes you can offer a product for free and still be profitable; in the advertising-driven business model, a large enough mass of free users can be valuable even if they never pay for your service. Facebook, for example, doesn’t charge its users a dime, but it is able to generate large amounts of high-gross-margin revenue by selling targeted advertising. But sometimes a product doesn’t lend itself to the advertising model, as is the case with many services used by students and educators. Without third-party revenue, the problem with offering your product to users for free is that you can’t offset your lack of sales by “making it up in volume.

Facebook excelled at distribution. As noted earlier, Facebook’s early focus on college students, which caused some to dismiss it as a niche product, was actually part of an extremely successful distribution strategy. To achieve incredible virality, Facebook would deliberately delay launching at a college campus until over 50 percent of the students had requested it so that local critical mass was reached almost immediately. Facebook further benefited from leveraging existing friend networks to expand outward from its original college user base. As users experienced the benefits of staying connected via Facebook, they naturally wanted to add their off-line friends to the network.

Many scientists are on the autism scale, so technically, autism causes vaccines. —Anonymous viral Facebook observation, 2019