270 Matching Annotations
  1. Dec 2020
  2. Oct 2020
    1. YouTube doesn’t give an exact recipe for virality. But in the race to one billion hours, a formula emerged: Outrage equals attention.

      Talk radio has had this formula for years and they've almost had to use it to drive any listenership as people left radio for television and other media.

      I can still remember the different "loudness" level of talk between Bill O'Reilly's primetime show on Fox News and the louder level on his radio show.

    2. A 2015 clip about vaccination from iHealthTube.com, a “natural health” YouTube channel, is one of the videos that now sports a small gray box.

      Does this box appear on the video itself? Apparently not...

      Examples:

      But nothing on the embedded version:

      A screengrab of what this looks like:

    3. When Wojcicki took over, in 2014, YouTube was a third of the way to the goal, she recalled in investor John Doerr’s 2018 book Measure What Matters.“They thought it would break the internet! But it seemed to me that such a clear and measurable objective would energize people, and I cheered them on,” Wojcicki told Doerr. “The billion hours of daily watch time gave our tech people a North Star.” By October, 2016, YouTube hit its goal.

      Obviously they took the easy route. You may need to measure what matters, but getting to that goal by any means necessary or using indefensible shortcuts is the fallacy here. They could have had that North Star, but it's the means they used by which to reach it that were wrong.

      This is another great example of tech ignoring basic ethics to get to a monetary goal. (Another good one is Marc Zuckerberg's "connecting people" mantra when what he should be is "connecting people for good" or "creating positive connections".

    4. The conundrum isn’t just that videos questioning the moon landing or the efficacy of vaccines are on YouTube. The massive “library,” generated by users with little editorial oversight, is bound to have untrue nonsense. Instead, YouTube’s problem is that it allows the nonsense to flourish. And, in some cases, through its powerful artificial intelligence system, it even provides the fuel that lets it spread.#lazy-img-336042387:before{padding-top:66.68334167083543%;}

      This is a great summation of the issue.

  3. Sep 2020
    1. I think a lot of educational Youtube channels aren't that great in actually teaching you anything. What they are great at is sparking the interest and planting the seed for your own work. At least my experience is that actually doing things is how I learn them. Youtube can be a great springboard for that.

      Well said

  4. Aug 2020
  5. Jul 2020
    1. The Fractured Internet: Is It Too Late For Humpty Dumpy? -

      https://www.youtube.com/watch?v=GPuKmV0zTA4

      Once upon a time, the Internet operated more or less under the same rules everywhere around the globe. In principle, anyone, anywhere in the world, with access to the World Wide Web, could access the same content in the same way. That is no longer true.

      Internet balkanization, or the "Splinternet," that many warned about for years is now becoming the status quo. Differing rules around the world regarding privacy and hate speech, law enforcement, China's Great Firewall, copyright and other IP protection, and individual countries' particular views on how they should be able to govern the Internet inside their borders means that, as a practical matter, we may no longer have a single Internet, but many Internets operating under different rules, with those connected unable to access certain content available elsewhere.

      ​Fiona Alexander, Distinguished Policy Strategist in Residence, School of International Service, American University

      ​Christopher Martin, Head of Region, Asia and US, Access Partners

      Masahiko Nittono, General Manager and Chief Corporate Representative, NTT Corporation

      ​Shane Tews, Visiting Fellow, American Enterprise Institute

      David Gross (moderator), Partner and Co-Chair, Telecom, Media and Technology Practice, Wiley Rein LLPBold

    1. Splinternet: The World Wide War for the World Wide Web

      https://youtu.be/OZJSRR66teM

      Gideon Rose, editor at Foreign Affairs magazine and Peter G. Peterson Chair, discusses the global war being fought for the regulation and future control of the internet. He speaks on "Bloomberg Surveillance."

    1. Internet balkanization: why are we raising borders online?

      Internet balkanization: why are we raising borders online? https://www.youtube.com/watch?v=pK0Z7nDBnVM

      This paper by Stefan Tanase (Ixia) was presented at VB2018 in Montreal, QC, Canada.

      Internet balkanization: why are we raising borders online?

      Less than three decades after the Berlin Wall collapsed and ended an era of division between the East and the West, the world seems on the brink of making the same mistakes all over again, only this time in cyberspace. Walls and borders not only promote segregation, but have a negative impact on economy, creativity and technology, slowing down progress on every level. Nowadays, walls are not just being raised in the real world, but on the internet as well. Countries want to isolate themselves and shut down the information they are not comfortable with, or the companies they don't want to do business with.

      The 'Great Firewall of China', which blocks access to websites considered dangerous by the Chinese government, is not an isolated phenomenon – it was the domino which set a trend in motion. In the last decades, more and more countries and organizations have taken to following this Internet censorship and digital mass-surveillance trend.

      Many times, the people who are affected are journalists or activists who are just trying to do their job. As surveillance technologies are rapidly becoming more sophisticated and the internet is becoming more fragmented, we are still trying to grasp the real-life consequences of digital balkanization - a double-edged sword which is insufficiently debated.

      Just as doctors on the battelfield have sworn to protect soldiers and civilians no matter which side of the border they are, security researchers do the same in cyber-space – being neutral in the face of threats against security and privacy. Freedom of expression and unrestricted access to the internet should be non-negotiable. They are basic human rights which we all should fight for. It's time to ponder seriously the implications of mass-surveillance, censorship and internet balkanization. We have to decide now what kind of internet we want our kids to use - a free internet, or one in which everything you say or do is monitored? https://hyp.is/o73HEMbmEeqHA69O6yuROA/www.youtube.com/watch?v=pK0Z7nDBnVM

  6. Jun 2020
  7. May 2020
  8. Apr 2020
    1. YouTube Video Builder: İşletmeler İçin Hızlı, Kolay ve Ücretsiz Video Oluşturma Aracı Google gibi büyük şirketlerin koronavirüs salgını devam ederken değişen dijital ortama uyum sağlamaları ve yeni yollar oluşturmaları için işletmelere sağladığı imkanlar devam ediyor. İşletmelerin hızlı ve sorunsuz bir şekilde video oluşturmalarını sağlayan Youtube Video Builder beta sürümüyle artık daha çok işletme için kullanılabilir durumda.
    1. Başarılı Bir Tanıtım Videosunun 5 Özelliği Video reklamların kullanımı, satın almayı %97 ve reklam-marka ilişkisini %139 artırıyor. Daha az teknik terimler kullanarak hazırlayacağınız tanıtım videolarıyla, kitlenizin sizi hatırlamasını ve sattığınız ürünü satın almasını sağlayabilirsiniz. Kimi hedefliyor olursanız olun, başarılı tanıtım videolarının paylaştığı 5 evrensel özellik vardır. Bu blog yazımızda, bu özelliklerin her birini daha ayrıntılı olarak inceledik.
  9. Mar 2020
    1. If other third-party tools guarantee not to use cookies, perhaps by providing specific configuration options, they too can be considered to be exempt from prior blocking. This is the case namely with YouTube, which provides a specific feature to prevent the user from being tracked through cookies.
    1. YouTube will not collect and store info on the users, that are visiting your site, on its server unless they view the video
    1. YouTube’s privacy-enhanced mode basically means they do not store visitor’s information if you have a YouTube video on your website, unless they actually click on the video to view it.
    1. Leg.

      Just kidding. This is an AWESOME video! Very funny and wonderfully simple animation :)

  10. Jan 2020
    1. One of the key critiques of the study is that the researchers didn’t log in. That is to say that they could not experience the full impact of the algorithm as it impacts their findings.

      As Becca Lewis suggests, is the problem associated with methodology? This reminds me of some of the discussions associated with [social media and teens] (https://collect.readwriterespond.com/social-media-has-not-destroyed-a-generation/)

  11. Nov 2019
    1. BFS looks at each adjacent node and doesn't consider the children of those adjacent nodes. DFS looks at each adjacent node, and looks at all the children of the current adjacent nodes. It again, looks at the children of the next adjacent node (adjacent to the children of the prevoius)

      Difference between BFS (Breadth First Search) & DFS (Depth First Search)

  12. Oct 2019
    1. I can't make an annotation on Google's documentation ( I think it's a Hypothesis bug ) but I've updated the linked code sample below to work as of 10/04/2019 with Python 3

      https://gist.github.com/technoplato/4d28f4f308ea7c5fe20bd23e751e9e60

  13. Jul 2019
    1. Open ListenOnRepeat.

      ListenOnRepeat web site allows one to loop only a section of a video.

    2. Right-click the video area, or long-press if you're using a touch screen. Select Loop from the menu.

      Loop a YouTube video.

  14. May 2019
    1. “On the ground in Syria,” he continued, “Assad is doing everything he can to make sure the physical evidence [of potential human-rights violations] is destroyed, and the digital evidence, too. The combination of all this—the filters, the machine-learning algorithms, and new laws—will make it harder for us to document what’s happening in closed societies.” That, he fears, is what dictators want.
    2. Google and Facebook break out the numbers in their quarterly transparency reports. YouTube pulled 33 million videos off its network in 2018—roughly 90,000 a day. Of the videos removed after automated systems flagged them, 73 percent were removed so fast that no community members ever saw them. Meanwhile, Facebook removed 15 million pieces of content it deemed “terrorist propaganda” from October 2017 to September 2018. In the third quarter of 2018, machines performed 99.5 percent of Facebook’s “terrorist content” takedowns. Just 0.5 percent of the purged material was reported by users first.Those statistics are deeply troubling to open-source investigators, who complain that the machine-learning tools are black boxes.
    3. “We were collecting, archiving, and geolocating evidence, doing all sorts of verification for the case,” Khatib recalled. “Then one day we noticed that all the videos that we had been going through, all of a sudden, all of them were gone.”It wasn’t a sophisticated hack attack by pro-Assad forces that wiped out their work. It was the ruthlessly efficient work of machine-learning algorithms deployed by social networks, particularly YouTube and Facebook.
  15. Feb 2019
    1. In other words, when YouTube fine-tunes its algorithms, is it trying to end compulsive viewing, or is it merely trying to make people compulsively watch nicer things?

      YouTube's business interests are clearly rewarded by compulsive viewing. If it is even possible to distinguish "nicer" things, YouTube might have to go against its business interests if less-nice things DO lead to more compulsive viewing. Go even deeper, as Rob suggests below, and ask if viewing itself can shape both how (compulsive?) and what (nice or not-nice?) we view?

    1. Algorithms will privilege some forms of ‘knowing’ over others, and the person writing that algorithm is going to get to decide what it means to know… not precisely, like in the former example, but through their values. If they value knowledge that is popular, then knowledge slowly drifts towards knowledge that is popular.

      I'm so glad I read Dave's post after having just read Rob Horning's great post, "The Sea Was Not a Mask", also addressing algorithms and YouTube.

  16. Nov 2018
    1. At the same time, a large share of YouTube users say the site is important for helping them figure out how to do things they haven’t done before. Fully 87% of users say the site is important for this reason, with 51% saying it is very important. And the ability to learn how to do new things is important to users from a wide range of age groups. Roughly half (53%) of users ages 18 to 29 say the site is very important to them for this reason, and that view is shared by 41% of users ages 65 and older. In some cases, users’ responses to these questions show substantial variation based on how frequently they visit the site. Most notably, people who use the site regularly place an especially high level of importance on YouTube for learning about world events. Some 32% of users who visit the site several times a day – and 19% of those who visit once a day – say it is very important for helping them understand things that are happening in the world. That compares with 10% of users who visit less often.

      87% of users say that YouTube is an important outlet for informal learning (51% say it is very important).

  17. Oct 2018
    1. 5/20 一小时理解Bayes统计

      方差、平均值这些统计量的计算,都只能算是【叙述统计】。真正统计的核心在于【推理统计】,推理统计有两个学派:frequentist vs. bayesian (频率统计学派 vs. 贝叶斯学派)。

      bayes 实际解决的是一个【推论 inference --- 我们想知道大自然是什么样子的,于是 collect 很多 data,根据这些data做推断,这就是 Inference】的问题。

      【注意:教授说,预测和推断是有区别的, prediction and inference is different】

      什么是 bayesian statistics?

      different target between bayesian and frequentist

      【注:这里从参数模型parameters model 来考虑】

      • a particular mathematical approach to apply probability to statistical problems.

      • incorporating our prior beliefs and evidence, to produce new posterior beliefs.

      这是bayes学派的思路。而频率学派的思路是:对于模型的某个参数,先得到其【点估计】,然后给出这个点估计的【准确度 confidence?】, bayes 不是得到一个点估计,而是得到一个【distribution】

      bayes 的来源

      \(P(A|B) = \frac{P(B|A)P(A)}{P(B)}\)

      \(P(B|A) = \frac{P(A|B)P(B)}{P(A)}\)

      bayes 来自于 bayes' Rule --- 一个条件概率计算式子。

      顺序:今天下雨,我带伞的概率; 逆序:今天带伞,外面下雨的概率;

      bayesian inference

      \(P(\Theta|D)=\frac{P(D|\Theta)P(\Theta)}{P(D)}\)

      • posterior: \(P(\Theta|D)\)
      • likelihood: \(P(D|\Theta)\) ,通过数据可以学习到。
      • prior: \(P(\Theta)\)
      • evidence: \(P(D)\)

      因为 evidence 可以消掉,所以我们经常把 bayesian inference 写作:

      \(P(\Theta|D)\propto P(D|\Theta)P(\Theta)\)

      posterior propto likelihood * prior

      Frequentist vs. Bayesian

      频率学派和贝叶斯学派最大的不同在于,random 来自哪里,前者认为其来自 data,后者认为其来自 parameter

      • Frequentist statistics: the probabilities are the long-run frequency of random events in repeated trials

      一般大学的统计学教学都是 频率学派,杜克大学是个例外,他是bayes学派。MLE 就是典型的频率学派的研究对象。这个学派的特点是得到的是模型参数的【点估计】,它认为在宇宙表象之后有一个【绝对的公理】在支配宇宙万事的运行,它认为 random 来自于 data,比如 linear model 只有两个参数 w and b,\(y = wx+b\),这个 linear model 的 w 和 b 是有两个绝对正确的量的(标准答案)。那为什么我学习or估测的这两个参数的结果会与标准答案不符合呢,是因为我的 data 来自于 random sample。

      亦即:parameter is fixed, data is random.

      所以,这也就解释了

      • where error come from --- random sample;
      • why get a value not a distribution --- parameter is fixed.

      • Bayesian statistics: preserve and refine uncertainty by adjusting individual beliefs in light of new evidence.

      bayes 学派得到的是模型参数的【分布】,认为这个参数并不是一个 fix 的值,这体现了统计学中 random 这一概念。与频率学派不同的是,bayes学派认为 data 已经在那了,我不可能去改 data 来 fit parameter,所以它认为: data is fixed, parameter is random. 它认为 parameter 不是固定的,而是符合某种分布的。比如 Linear model 的两个参数 w 和 b, bayesian 认为他们【没有绝对正确】的值,所以我寻找他的先验估计,通过 fitting 不同的 data 对其进行 update (ps:怎么看着有点像是 iterative 优化方法)从而得到 posterior, 而 posterior 就是模型对这个参数的估计。

      Frequentist vs. Bayesian 举例 Linear Regression

      Linear Regression model: \(y_i = w_0 + \sum_jw_jx_{ij}=w_0+w^Tx_i\)

      Maximum Likelihood Estimation(MLE):

      • Frequentist approach
      • \(y_i=w^Tx_i+\epsilon,\ where\ \epsilon \sim N(0,\sigma^2)\)
      • choose paramters which maximize the likelihood of data given that paramter
      • \(w_{MLE} = argmin_{w}\sum_i(y_i-w^Tx_i)^2\)
  18. May 2018
    1. Tudo começou como um site de namoro há 13 anos. O que hoje conhecemos como o YouTube surgiu como um espaço para homens e mulheres compartilharem vídeos contando quem eram e o que buscavam no amor. Seus criadores, Steve Chen, Chad Hurley e Jawed Karim, registraram o nome do portal no Dia de São Valentim, o dia dos namorados em diversos países do mundo, em 2005. Em 23 de abril daquele ano, Karim publicou o primeiro vídeo do YouTube, intitulado "Eu no zoológico", um clipe de meros 18 segundos que não era nada romântico. "Bem, estamos aqui, em frente aos elefantes. O legal desses caras é que eles têm trombas muito, muito, muito grandes. Isso é legal. E é basicamente o que tenho a dizer." Não levou muito tempo para que os rapazes vissem que sua ideia havia sido um fracasso. Mas nem tudo estava perdido. Eles se deram conta que tinham em mãos uma plataforma valiosa em uma época em que publicar vídeos caseiros na internet começava a decolar. Nesse momento, o trio resolveu acabar com o lado romântico do negócio e aceitar qualquer tipo de vídeo no portal, explicou Chen há alguns anos em uma conferência no Texas. E isso se provou um grande acerto. Um ano depois, em outubro de 2006, os três fecharam o negócio de suas vidas ao vender o site para o Google por US$ 1,65 bilhão (à época, o equivalente a R$ 3,55 bilhões). Hoje, o YouTube tem mais de 1 bilhão de usuários em 88 países e 76 idiomas, segundo o Google. A chegada ao Vale do Silício Os três cofundadores do YouTube não têm origens em comum, mas seus caminhos se cruzaram ao sair da universidade. Chen nasceu em 1978 em Taiwan. Quando era adolescente, se mudou com a família para os Estados Unidos, onde se formou na Universidade de Illinois. Karim também é imigrante. Nasceu em 1979 na então Alemanha Oriental e chegou com a família aos Estados Unidos no início da década de 1990, onde estudou na mesma universidade de Chen. Hurley nasceu no Estado da Pensilvânia em 1977 e estudou na Universidade de Indiana. O trio se conheceu em 1999 em seu primeiro dia como funcionários do site de pagamentos PayPal no Vale do Silício, na Califórnia. Como engenheiros, Chen ajudou a desenvolver o serviço, enquanto Karim trabalhou no seu sistema antifraudes. Hurley, formado em Belas Artes, colaborou com o desenho da interface de uso do portal. Em 2005, eles criaram a primeira versão do YouTube. Novos negócios Os três continuaram como executivos do YouTube após a venda, mas, com o passar dos anos, saíram da empresa para empreender novamente. Chen e Hurley se uniram em 2011 para fundar a AVOS Systems, uma empresa que ajuda a desenvolver aplicativos para celulares e serviços online. Também se envolveram novamente no mercado de vídeos com dois programas, o Mixbit, que facilita a edição de clipes, e o Wanpai, para compartilhar vídeos curtos. Também estiveram à frente, entre 2011 e 2014, da plataforma Delicious, um dos serviços pioneiros para salvar e gerenciar links, mas que já não existe mais. Chen ainda faz parte da Google Ventures, um braço da Alphabet, a matriz do Google, dedicada a investimentos em novos negócios. Ele já atuou como consultor para diversas companhias, segundo a Bloomberg. Hurley também integrou a Google Ventures, mas deixou a companhia. Atualmente, segue na AVOS como diretor-executivo. Seus negócios se expandiram para a área de esportes, e ele se tornou membro da diretoria da equipe de basquete Golden State Warriors e um dos donos do time de futebol Los Angeles FC. O discreto Jawed Karim Apesar de ser o primeiro rosto que apareceu no YouTube, Karim mantém um perfil bem mais discreto em seus negócios, sem muitas aparições públicas. Depois de participar do conselho do YouTube, ele criou em 2008 sua própria empresa, a Youniversity Ventures, para ajudar universitários a tirar suas ideias de negócios do papel. Atualmente, é conselheiro da TokBox, empresa dona da plataforma de vídeos e mensagens OpenTok. Também é sócio do fundo Sequoia Capital, que teve entre seus clientes o próprio YouTube em 2005 e que já investiu em empresas como Google, Apple, Yahoo!, LinkedIn, Cisco, Airbnb e Atari.
  19. Apr 2018
  20. Mar 2018
    1. Complexity Theory - Dynamical Systems Theory

      If we want to make change we should come at a problem from as many different areas as possible.

      We should be wary of the magic bullet. Complexity theory may be seen as post-structuralist or even further?

      This is part of an agency structure debate.

      There are varied factors that contribute to change.

      The connections of neurons are more important than the number of cells are more important for consciousness or the mind. This is a good analogy for why complexity theory is so essential.

      Consciousness emerges when critical mass is reached in a system.

      It's hard to know how much of a factor something can be in a causal system. For example, how much do we cause do we attribute to butterfly wings causing a storm in India.

      What causes change in the education system?

      We need to use words like compounding effects to explain change.

      We need to conceive of change in terms of speed and direction, like a mathematical function.

      We need to be wary of one dimensional change or one kind of initiative. You need to think of multiple factors.

      Effective intervention means intervention from every possible angle.

      We need to pump resources until we have autocatalysis.

      International Journal of Education Development Mark Mason

    1. A majority of Americans use Facebook and YouTube, but young adults are especially heavy users of Snapchat and Instagram

      social media use

  21. Nov 2017
    1. UploadingaVideofromYouTube

      Kaltura does not actual upload YouTube videos. This might be better described as "Embedding YouTube in Kaltura".

  22. Oct 2017
    1. I like the "Stranger Things" AR stickers for the Google Pixel camera.

      I'm glad I can use Hypothes.is for page notes like this, because Google disabled chat for this live stream. (Did you know that in YouTube live streams, chats are destroyed when the event is no longer live? They don't become video comments.)

      I've noticed that if I share this annotation, when the via.hypothes.is link is opened, YouTube gets confused and shows the message: "Your browser does not currently recognize any of the video formats available. Click here to visit our frequently asked questions about HTML5 video.". It includes a link to: https://via.hypothes.is///www.youtube.com/html5

  23. Jul 2017
    1. "You shall not download any Content unless you see a “download” or similar link displayed by YouTube on the Service for that Content.You shall not copy, reproduce, make available online or electronically transmit, publish, adapt, distribute, transmit, broadcast, display, sell, license, or otherwise exploit any Content for any other purposes without the prior written consent of YouTube or the respective licensors of the Content. YouTube and its licensors reserve all rights not expressly granted in and to the Service and the Content."
  24. Mar 2017
    1. Comme toute marque, enfin, les youtubeurs sont tendus entre répétition et innovation : si la première est nécessaire, pour être identifiée sous une catégorie (« humour », « cuisine », « beauté », « jeux vidéo », etc.), elle peut conduire à la lassitude et trahir un manque de créativité.
    2. Elles sont notamment tributaires des conditions d’utilisation de YouTube et de leurs fluctuations. En 2013, la plateforme durcit sa politique juridique : un extrait d’une œuvre (une musique de film, un jeu) intégrée à une vidéo peut faire l’objet d’un retrait par ses ayants droit. Les revenus publicitaires des youtubeurs sont également affectés : ils sont redistribués aux ayants droit éventuels. Comment, dans ces conditions, peuvent vivre des chaînes dédiées au commentaire de jeux vidéo ? Les éditeurs se sont cependant montrés « cléments », conscients de la publicité, du ciblage et de l’éditorialisation gratuite dont ils bénéficiaient.
    3. Cette initiative met implicitement le doigt sur le fonctionnement de YouTube[+] NoteCette partie s’appuie sur un article universitaire : Agnès GAYRAUD et Guillaume HEUGUET, « De l’industrie musicale à la rhétorique du "service". YouTube, une description critique », Communication & Langages, 184, 2015, p. 101-119. [6] : présenté comme un « service », qui se contenterait de donner un espace d’expression aux internautes, le site est en fait un rejeton des industries culturelles et du capitalisme néolibéral. A priori, YouTube neutralise pourtant toute critique idéologique. Il « a quelque chose d’un dispositif utopique d’accès partagé à la culture »[+] NoteAgnès GAYRAUD et Guillaume HEUGUET, op. cit. p. 102 [7] : l’utilisateur, devenu roi, a le pouvoir de consommer, de commenter, de partager des productions audiovisuelles en apparence diversifiées et personnalisées ; rien ne lui serait imposé. Mieux : le rapport entre les industries et le consommateur semble inversé : c’est maintenant lui qui détiendrait le pouvoir. Pour bénéficier de cette « personnalisation », il doit cependant sacrifier un peu de ses données personnelles : la gratuité tant vantée par les industries dites « 2.0 »[+] NoteSur cette épithète, voir Franck RÉBILLARD, « Du Web 2.0 au Web2 : fortunes et infortunes des discours d'accompagnement des réseaux socionumériques », Hermès, 59, 2011, p. 25-31. [8] n’est que partielle. En s’appuyant sur ses routines de navigation, de consultation, YouTube oriente bien plus qu’il ne propose : c’est toujours sur le mode répétitif que se fait la consommation.
  25. Nov 2016
    1. The online platform has changed the social scenario in various contexts. Mainly with the help of online platform, the people are able to connect to each other. In the field of education also lots of changes have been witnessed by the society. It has changed the dimensions of study. http://blog.selectmytutor.co.uk/youtube-tutoring-a-leap-change/

  26. Sep 2016
    1. But fandom without limits makes Team Internet vulnerable.
    2. This kind of dynamic -- between a digital influencer and a fan -- has become commonplace in the “Team Internet” community. Over the last few years, dozens have come forward to share stories of creators who have had inappropriate relationships with those who see them as bona fide celebrities.