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Dark Social: We Have the Whole History of the Web Wrong - Alexis C. Madrigal

Dark Social: We Have the Whole History of the Web Wrong - Alexis C. Madrigal
Here's a pocket history of the web, according to many people. In the early days, the web was just pages of information linked to each other. Then along came web crawlers that helped you find what you wanted among all that information. Some time around 2003 or maybe 2004, the social web really kicked into gear, and thereafter the web's users began to connect with each other more and more often. tl;dr version 1. 2. 3. 4. But it's never felt quite right to me. To be honest, this was a very difficult thing to measure. There are circumstances, however, when there is no referrer data. This means that this vast trove of social traffic is essentially invisible to most analytics programs. Nonetheless, the idea that "social networks" and "social media" sites created a social web is pervasive. Everyone else had data to back them up. And then one day, we had a meeting with the real-time web analytics firm, Chartbeat. Just look at that graph. Get this.

FACS3935: The Anti-Sublime Ideal in Data Art Respond On the reading "The Anti-Sublime Ideal in Data Art" by Lev Manovich, there are some really interesting point that he command on data visualization that done by computer. Although graphical representation of data already exist in the 18th, using computer medium is a totally different experience. With the new visualization technique, we are now able to computer much larger data set, which mean we have wider range of data to work with as a artist. Also, we can transform the data in to computer animated and present with real time interactive medium. Artist always like to work with materiel from the past, in my opinion everything that exist in the world we live come from the past, if we want to understand what we are right now, we have to trace back to how it exist in the past.

Dark Social: The Key to Understanding Content Sharing Despite all the web analytics tools available to us, marketers don’t fully understand why one piece of marketing content is more successful than another. We have good end-user data: visits, bounce rate, and so forth — but we have problems understanding traffic sources, favorite ways people share content, and other vital information. I recently read a post written by Alexis C. Dark Social is the traffic that arrives to your site when someone shares a post by copying and pasting a URL in an email, mobile, chat, or similar communications method. "Social traffic" could be defined as the traffic produced by content sharing, either through social networks, email, mobile or chat. That 82 percent of content shared by cutting and pasting is the maximum percentage of dark social we could receive because only 70 percent is finally sent by email. How to Calculate Dark Social Percentage for a Blog? What Percentage of Traffic Is Dark Social in a Site/Blog?

P R I S M Dark social: Why measuring user engagement is even harder than you think If you’ve spent any time in a newsroom, traditional or otherwise, you know that publishers are obsessed with measuring where their web traffic comes from. Whether it’s Google Analytics or Chartbeat or comScore or Omniture, or any one of a dozen other providers, tracking where readers come from is a crucial part of online media — mostly because publishers need to know which channels are worth focusing on, since there are so many to choose from. Is Twitter your biggest source? But what if your biggest source of traffic and readers is something you aren’t even really paying attention to, and something that is extremely hard to track in the same way as Google or Twitter or Facebook? “This vast trove of social traffic is essentially invisible to most analytics programs. Most of your social traffic is hidden from you The only solution is to create engaging content So how are publishers and media companies supposed to deal with this problem?

“Raw Data” is an Oxymoron We live in the era of Big Data, with storage and transmission capacity measured not just in terabytes but in petabytes. Data collection is constant and even insidious, with every click and every “like” stored somewhere for something. This edited collection seeks to remind us that data is anything but “raw”, that we shouldn’t think of data as a natural resource but as a cultural one that needs to be generated, protected, and interpreted. Niccolò Tempini finds that all of the matters discussed in this book are as inherently political as they are urgent. “Raw Data” is an Oxymoron. Find this book: Edited by NYU media historian Lisa Gitelman , this book is a stimulating and useful collection of essays which characterize practices at the heart of the increasingly data-centric society in which we live. Newspapers and the business world are abuzz about the data revolution. The elegant title of this collection states its main argument well: there is no such thing as ‘raw data’.

Ultimate List of Top 29 Tools for Competitive Intelligence Marketing research isn’t what it used to be. It has expanded to include the world of websites, blogs, social media, online advertising, and other web-based media. The great thing about this all is that there are lots of tools you can use conduct market research and gather competitive intelligence. Our top posts on Lakeshore Branding have been about social media monitoring and competitive intelligence. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. Are we missing one of your favorite tools? Dark Social: The Far Side Of Digital Information Sharing Alexis Madrigal, senior editor at The Atlantic, has just coined what might prove to be a very much discussed term amongst social media naturals for quite some time to come; enter the Dark Social side of online sharing. Because yes, we’re all very much impressed with the sharing numbers we see from various social networks, Facebook, Twitter and LinkedIn included. But how much is socially shared in channels we cannot measure, that we cannot see? How much is shared via email, instant messages and direct messages? How much is shared on darknets, BBS networks and untraceable forums? Here’s the summary from the Atlantic article:

Google Image Ranking - How to Get An Image to Rank in Google | Converting Copy The other day I made a post on Google ranking factors so that you have a better idea about what factors influence Google’s ranking algorithm and the estimated weight which is placed on each one. Google has its own SERPs for images for any keyword, as well. If you click on the image tab in Google, you can search for any keyword to get images related to that search phrase. Clicking on the image takes you to the web page on which that image is shown, so this is another great way to increase website traffic. Therefore, I’ve put together this list of 6 Google image ranking factors which have been proven and vouched for by Google themselves in most cases. Effective keyword use in your image’s file name as well as in its “alt text” tag (see Alt Text vs. Incoming search terms: how are google images rankedhow to rank images in googlegoogle image rankinghow to rank in google imagesgoogle images rankinghow google images are rankedssg rank in jpg file

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