Gartner’s 2016 Hype Cycle for Emerging Technologies 

Gartner's 2016 Hype Cycle for Emerging Technologies

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Facebook Discloses ANOTHER Metrics Mishap 

The metrics snafus have raised concerns for some marketers, ad buyers and publishers. Facebook says the problems haven’t impacted billing. Still, some executives say incorrect statistics can affect how ad buyers allocate budgets, and Facebook has been under pressure to allow more thorough and independent measurement by third-party firms. Read More

Facebook Overestimated Key Video Metric for Two Years

Raise your hand if you are not the least surprised:

For the past two years Facebook only counted video views of more than three seconds when calculating its “Average Duration of Video Viewed” metric. Video views of under three seconds were not factored in, thereby inflating the average. Facebook’s new metric, “Average Watch Time,” will reflect video views of any duration. That will replace the earlier metric.

In its note to clients, Publicis said the change wasd an attempt to obfuscate Facebook’s earlier miscalculations.

“In an effort to distance themselves from the incorrect metrics, Facebook is deprecating [the old metrics] and introducing ‘new’ metrics in September. Essentially, they’re coming up with new names for what they were meant to measure in the first place,” the memo said. Read More

Twitter Data Visualized for #GameofThrones Usage

How every #GameOfThrones episode has been discussed on Twitter

Read on to learn about how we built this visualization, and what we’ve learned about Game of Thrones—and its fans—from it. And for any of you who aren’t caught up… Warning! The rest of this post contain spoilers from Game of Thrones.

Explore this  interactive visualization to see how the audience relates to the characters relate and them to each other, their popularity & emojis used about them helps track certain sentiments.

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Schrodinger’s Audience: How News Analytics Handed America Trump

The Republican primaries with Trump have been far more entertaining than the primaries without Trump. CBS chairman Les Moonves has remarked that Trump’s candidacy “may not be good for America, but it’s damn good for CBS.” Ross Douthat has likewise noted that Trump is “such a gift to our industry.”

But I think the simple explanation puts the emphasis in the wrong place. Trump’s media dominance isn’t caused by public demand for Trump. It is caused by the media’s new tools for looking at the ratings! Read More

NodeXL #databythebay: Graph Details

The graph represents a network of 448 Twitter users whose recent tweets contained “databythebay”, or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 18 May 2016 at 18:18 UTC.

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Nate Silver unloads on The New York Times

To those with their ears attuned to fissures in the media world related to data journalism, the use of the word “data” was pointed. That, plainly, was what Silver responded to. The site’s election podcasts generally feature Silver and several other of the site’s election team discussing the race, with particular attention paid to polls.

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RIP: NYT Research and Development Lab

Eulogy for The New York Times R&D Lab

The New York Times R&D Lab, a groundbreaking department of applied creative technology that helped one of the great institutions of journalism see how it could thrive amidst a changing media ecosystem, died Monday in New York City. It was eleven years old.

Apparently the requirements for being on the R&D Lab staff required that you be generous and deeply collaborative in addition to being uniformly brilliant.

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Does Twitter Have A Future?

Deray thinks so. Fresh off his loss of the Baltimore Mayoral race he is opining about what he thinks makes Twitter valuable as a social network and platform. We couldn’t disagree more stringently:

deray mckesson and jack dorseyWhile we’ve written about it on several occasions, and at length, always highlighting & focusing specifically on why it is important, necessary, and likely to survive. We aren’t however as cavalier as Mr. McKesson. Who is a favorite of Jack (perpetual CEO & Founder of Twitter) and one could say apparently the sort of accolades, encouragement the teams at Twitter would want. Not however what they need to hear.

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Part 10: Finding love in the long-tail

So we keep making a big to-do over loving and long-tails. But you don’t have to be a dragon to get both. Well it helps, but is unrealistic.

[New Here? Missed the previous chapters?]

everything you need to know about publishing cover graphics-nwsprnt_flip

What you’ll learn:
  • Stop buying them chocolates & flowers
  • Measure to reinvent
  • Love is everlasting
  • Keeping the romance fresh
  • Counting on the longevity not the immediacy

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Let us wonk out for a second

Outlier Detection with Parametric and Non-Parametric methods

Dealing with Outliers is like searching a needle in a haystack

by Jacob Joseph.

An Outlier is an observation or point that is distant from other observations/points. But, how would you quantify the distance of an observation from other observations to qualify it as an outlier. Outliers are also referred to as observations whose probability to occur is low. But, again, what constitutes low?? There are parametric methods and non-parametric methods that are employed to identify outliers. Parametric methods involve assumption of some underlying distribution such as normal distribution whereas there is no such requirement with non-parametric approach. Additionally, you could do a univariate analysis by studying a single variable at a time or multivariate analysis where you would study more than one variable at the same time to identify outliers. The question arises which approach and which analysis is the right answer??? Unfortunately, there is no single right…

 


Source: Outlier Detection with Parametric and Non-Parametric methods | DataViz


 

Part 9: Your Voice is the most important thing to…

So you want to be taken seriously & paid what you are worth? Seems like an easy request, but how to get the attention of those that will hire you. Especially when you don’t have legions of followers and likes to back it up as a calling card. Know your voice or all else is lost.

[New Here? Missed the previous chapters?]

SHARE_800x800 Everything about Publishing

What you will learn:
  • Why your voice is so important today
  • Everything you need to know is in the dashboard
  • Well, actually it requires work
  • Core principles always point to a path
  • Writers both know their voice and stifle it

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Part 8: Feel the Love?

Or suffer the consequences. Blurb it?! How do you describe the romance between you and your followers on social media in under a few hundred words? It can’t happen.

[New Here? Missed the previous chapters?]

EYNTKAP oval title image

What You’ll Learn:
  • Love is always a two-way street
  • Never mistake the love for something else
  • Turning that love into money or support shouldn’t be easy
  • Lines of Communication Matter
  • Giving leads to receiving

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Part 6: Blah, Blah, Blah

Blurb goes here and we love blurbs. Knowing you aren’t likely to read much past this but really hoping to tempt you to, we think up something smart & funny to say. Then you the reader with your interest piqued will read on… {and hopefully share & comment! 🙂 }

[Missed out on previous parts?]

What we hope you’ll learn in this part:
  • Make it matter, make them matter.
  • Remember: YOU MATTER!
  • You’re never more appealing than when you help others
  • Help them, help you
  • You’ll come a long way this way

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Part 5: Remedial Math for Internet Haters

Nothing makes us titter like people getting mad that they didn’t get enough likes on something. What will make us howl even quicker is people who think getting a lotta likes on something means anything either, or as a measure of their popularity! Then when we want uncontrollable belly laughter that might make us wet our pants we watch the big internet companies report on their “user” numbers.

Cover_Everything you need to know about publishing-alt crop

What you’ll learn in this installment:
  • Vanity metrics hurt & often kill dreams
  • Your paying attention to all the wrong things
  • Use this simple trick to see clearly
  • We all hate math, hence the dashboard
  • What they can’t or won’t tell you
  • Why all analysts are liars

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Billion NYC Taxi+Uber Trips

1.1 Billion NYC Taxi and Uber Trips analyzed and visualized

An open-source exploration of the city’s neighborhoods, nightlife, airport traffic, and more, through the lens of publicly available taxi and Uber data.Images are clickable to open hi-res versions.


Source: 1.1 Billion NYC Taxi and Uber Trips analyzed and visualized | DataViz


 

Part 4: Measure once, Twice Cut

If you’ve been paying attention, and not just to the likes and shares, you can often predict what will happen next. It far less like rocket science and more like doing the accounting for your business. Figuring out what is working and worth it, as opposed to that which is easy but a waste of time.

What you’ll learn:

  • As previously, you have to measure or all is for naught
  • When measuring to always remember prevailing wisdoms are futile
  • Value is a proposition, always
  • Your worth is always self-defined
  • The key is not give up just before it starts to work

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What Is the Real Cost of Social? [INFOGRAPHIC]

Does being a Facebook fan of a brand mean anything? It turns out that it does. Fans spend more money on the brand’s that they are fans of than non-fans do.

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When all else fails create a mnemonic acronym

D.E.A.L. and L.E.A.N.

Back in October, Mr. Cunningham penned an open letter on behalf of the IAB (Interactive Advertising Bureau) telling content providers and others, “We messed up.”

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Great Thoughts from the founder of Pinboard

Fan Is A Tool-Using Animal

Below are some highlights of the talk, or take-away points to the talk that seemed to be far-reaching when dealing with social media. Read the whole thing by clicking the picture above or following the link at the bottom. Read More

9 Key Analytics for All Business Models

An exploration of 9 types of business actions, common tactics and the analytics data that supports them. Read More

NBC vs. Netflix

Whose viewership data should Hollywood trust? A tech firm’s suspicious “outing” lays bare the anger and frustration of networks forced to compete with secrecy.

But it also illustrated in stark terms the key tension in the television business in 2016: How should success be measured, and whose data should the industry trust?

“It’s important to know that TV actually is growing very well, and streaming originals … are supplementing it,” says Symphony CEO Charlie Buchwalter. The company tracked media consumption for NBC with Shazam-like audio-recognition technology, parsing through data from 15,000 smartphone users who have its app.

But critics quickly doubted the data could be trusted, suggesting the move backfired on NBC. “Given what is remarkably inaccurate data, I hope they didn’t spend any money on it,” Sarandos quipped, adding, “Why would NBC use their lunch slot to talk about our ratings? Maybe because it’s more fun than talking about NBC ratings.”


Source: NBC vs. Netflix: Why a Ratings ‘Reveal’ Matters | Hollywood Reporter


 

The evolution of autoplay 

How do you come up with metrics that properly track meaningful attention, not just playcounts? (Probably no impression is completely meaningless, but some are definitely more meaningful than others.) What do you do about audio? The best implementations I’ve seen start autoplay in silent mode with captions. Unexpected autoplay audio is a deep annoyance — motion and text, not so much. And there’s a lot of experimentation to be done with text-heavy video, particularly on the news side. I believe silent with captions will become an emerging standard, both on big platforms and on publishers’ sites.

evolution of autoplay by tim carmody

Click picture to read the entire article


Source: The evolution of autoplay | Nieman Journalism Lab


 

What or Who Killed The Infographic?

Today, you’d be lucky to find a cheap knockoff in a world dominated by crappy promotional infographics churned out for viral attention. Nicholas Felton, the data viz guru who once designed Facebook’s Timeline, now builds apps. Jer Thorp is as interested in reverse-engineering algorithms and data art as he is in producing pure data visualization. Even the infographics on the portfolio-sharing site Behance are on the downswing. “Infographic posting generally rose steadily from 2007 to 2012, where it peaked, and has begun to decline since then,” Sarah Rapp, Head of Behance Community Data & Insights, Adobe


Source: What Killed The Infographic? | Co.Design


 

Weekly Must+Reads

Short: Peeple=Creepy |  Medium: Why You Share Content |  Long: Jack’s Back

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How Long Does It Take for Social Media Marketing to Start Paying Off? 

According to Crowl, almost half of marketers in a survey reported that they used social media for two years before they saw an impact on sales.“Conversely, 49 percent of all marketers taking this survey report that social media has not helped them improve sales,” the report states. “This may be because they lack the needed tools to track sales.” Read More

Today’s Must Reads

Short: Watch+Earn App |  Medium: Web Ads Don’t Work |  Long: Fake Traffic Schemes

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How To Banish Bad Bots From Your Site Analytics

You can do that by using them to identify bad bots, which, more and more, are executing JavaScript, inflating analytics numbers, expending your resources and scraping and duplicating content.The Incapsula 2014 bot traffic report looked at 20,000 websites (of all sizes) over a 90-day period and found that bots account for 56% of all website traffic; 29% were malicious in nature.
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When metrics drive newsroom culture

“Metrics inspire a range of strong feelings in journalists, such as excitement, anxiety, self-doubt, triumph, competition, and demoralization,” Petre writes. Depending on how they’re implemented, metrics can have vastly divergent effects on editorial culture. But regardless of how newsrooms shield their staff, Petre found, the emotional effect remains.

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20 Free Tools for Entrepreneurs

20 Free Tools for Entrepreneurs

by Johnny Webber


 

1. slimvoice.co – Create insanely simple invoices.

2. wetransfer.com – Transfer up to 2 GB of data.

3. similarweb.com – Get insights for any website or app.

4. coffitivity.com – Ambient sounds to boost creativity.

5. nibbler.silktide.com – A tool for testing website accessibility, SEO, and social media.

6. crowdriff.com/riffle – Get Twitter engagement, interest and activity analytics in real time

7. woorank.com – Another analytical website tool.

8. redditlater.com – Find out the best times to post on reddit.com.

9. builtwith.com – Find out what websites are built with.

10. mailchimp.com – Create an email newsletter for your users.

11. surveymonkey.com – Create surveys, get answers.

12. joinme.com – Instant screen sharing for meetings.

13. hootsuite.com – Streamline your social presence.

14. strikingly.com – Make a beautiful website for free.

15. unroll.me – Clean up your inbox. Save time on email.

16. picmonkey.com – Photo editing made easy.

17. growthhackers.com – A marketing discussion community.

18. thenameapp.com – Find a name for your idea.

19. hemingwayapp.com – Make your writing bold and clear.

20. compressor.io – Optimize and compress your images online.


via 20 Free Tools for Entrepreneurs | Johnny Lists.


 

Big Data Myths and Facts

Big Data holds great promise for enterprises of all sizes. Read More

Sharing ≠ Reading

 What You Think You Know About the Web Is Wrong 

If you’re an average reader, I’ve got your attention for 15 seconds, so here goes: We are getting a lot wrong about the web these days. We confuse what people have clicked on for what they’ve read. We mistake sharing for reading. We race towards new trends like native advertising without fixing what was wrong with the old ones and make the same mistakes all over again. Read More

Big Data in 2014

Big Data Infographic Analytics Trends in 2014

An infographic from Aureus Analytics about the top trends in big data, analytics and analytical models that are defining trends of analytics today and are likely to have a significant influence in 2014 and future course around the globe.


Source: Big Data in 2014iNFOGRAPHiCs MANiA


 

Optimize Images in Your Blog Posts for Retina Display

Typically images that are found in posts can range anywhere from 400-1000 pixels in width. If we chose the @2x method, this would mean that each image would be between 800-2000 pixels in width.

Serving images that large on every page load could result in a tremendous resource hog, not to mention it would eat away at your bandwidth. Read More

Can’t Beat ’em, Join Them

After adopting infinite scroll Time.com’s bounce rate down 15% 

Three major news website redesigns this year look very different but have an important feature in common: articles that seamlessly transition to new content, without requiring readers to click or tap headlines and then wait for new pages to load.

This “continuous scroll” strategy for news sites’ article pages is gaining momentum. It’s been adopted by Time.comNBCNews.com and LATimes.com, reflecting the fact that direct homepage traffic is waning (see the New York Times innovation report), and traffic from social media (particularly Facebook) just keeps growing.

So as readers increasingly enter sites from “side doors” or article pages, media organizations are trying to figure out how to get them to stick around. Pew recently found that visitors from Facebook are far less engaged than direct visitors. Here’s how sites that relaunched in the first half of 2014 are addressing that problem by making use of the continuous scroll (aka infinite scroll) feature in their article pages:

Read More at Poynter

Facebook Likes Are Not “Vanity Metrics” ?!?

Really, tell us more?

In the past month I have attended two webinars with thought-leaders from the social media marketing space in which one of the luminaries referred to Likes on Facebook as “vanity metrics” as if this were uncontestable common knowledge. This was troubling for three reasons. First, it reveals engrained prejudices about social media that are simply false. Second, it suggests a profound ignorance about the mechanics of social media platforms. Third, it indicates that direct-response thinking still dominates much of the discourse around social media marketing.

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