Highlights from #cj2014 opening keynote: Jon Kleinberg

October 24th, 2014 § 0 comments § permalink

I’m following the Computation + Journalism 2014 symposium via the hashtag and livestream. Below are some highlights I collected from the opening keynote.

#cj2014: Tracing the Flow of On-Line Information through Networks and Text

Keynote by Jon Kleinberg at 2014 Computation + Journalism symposium at Columbia University

  1. Event page:
  2. Highlights from the keynote (in chronological order):
  3. Keynote by Jon Kleinberg of Cornell: metaphors of information travelling online include the library and the crowd #cj2014
  4. #Information travels on-line via #library (pages, links, association) & crowd (memes, contagion) | #data #CJ2014
  5. Jon Kleinberg opens #CJ2014 with a ref to the classic essay As We May Think.  http://j.mp/ZPWaO1 
  6. Jon Kleinberg, speaking right now at #cj2014, did some really cool work tracking chain letters online in 2008  http://www.pnas.org/content/105/12/4633.full 
  7. We can track the flow of information temporally, structurally, and in terms of content, says Jon Kleinberg #cj2014
  8. But are crowd & library metaphors dual: people trailblazing through documents or documents transmitted through networks of people? #cj2014
  9. It’s easier for algorithms to track items (quotes, photos, phrases) than stories. Q: Does that encourage pack journalism? #CJ2014
  10. Tracking stories through networks reveals difficulties eg., natural language. But can track quotes to show news cycles #CJ2014
  11. Kleinberg explains tracking essential elements of a story (like phrases) as they move through networks. #cj2014 http://t.co/V1fiFZWUBS
    Kleinberg explains tracking essential elements of a story (like phrases) as they move through networks. #cj2014 pic.twitter.com/V1fiFZWUBS
  12. Half of all reshares on FB happen in large cascades (>500) | #paradox #viral #CJ2014
  13. Basic question: how to predict what content will be shared widely? Or, are cascades unpredictable? #cj2014 http://t.co/Q7dCleEkXH
    Basic question: how to predict what content will be shared widely? Or, are cascades unpredictable? #cj2014 pic.twitter.com/Q7dCleEkXH
  14. #cj2014 Is virality predictable? You as poster rarely experience it w your content, but you as consumer see it often http://t.co/IEgOmZtWIv
    #cj2014 Is virality predictable? You as poster rarely experience it w your content, but you as consumer see it often pic.twitter.com/IEgOmZtWIv
  15. One solution: reframe question as tracking rather than snapshot instant: what are the chances of this being shared further? #cj2014
  16. On whether something “goes viral”: “An important moment in a cascade is the moment it escapes the neighborhood of the root.” #cj2014
  17. Temporal features most powerful in predicting resharing of photo memes #CJ2014 http://t.co/3ZKFHIzO7Y
    Temporal features most powerful in predicting resharing of photo memes #CJ2014 pic.twitter.com/3ZKFHIzO7Y
  18. My thoughts are on how narratives or stories in news, eg images of ‘typical’ migrants, circulate and are widely diffused #cj2014
  19. Troubling finding here seems to be that actual content has less impact on how likely something is to go viral #cj2014 http://t.co/lver1zx14e
    Troubling finding here seems to be that actual content has less impact on how likely something is to go viral #cj2014 pic.twitter.com/lver1zx14e
  20. Research to understand discussion and comment threads - #cj2014 keynote by Jon Kleinberg http://t.co/3HUQi1uZj1
    Research to understand discussion and comment threads – #cj2014 keynote by Jon Kleinberg pic.twitter.com/3HUQi1uZj1
  21. Kleinberg now moving from global discussion to local conversations via threads or friends. What makes them engaging, long, short? #cj2014
  22. Tracking the virality of memes: Speed is important. Pics that get the first 1k of shares fast are more likely to go viral after. #cj2014
  23. Content more likely to spread if strangers share it = good reason for journalists to make sure their networks are diverse #CJ2014
  24. #visualization shows 2 kinds of threads: long due to many contributors posting once or convo among few ppl #cj2014 http://t.co/Js2wFv0lyy
    #visualization shows 2 kinds of threads: long due to many contributors posting once or convo among few ppl #cj2014 pic.twitter.com/Js2wFv0lyy
  25. Super interesting question!: why do certain quotes/content stand out? Linguistic markers? #visualization #cj2014 http://t.co/1muOY6tZxI
    Super interesting question!: why do certain quotes/content stand out? Linguistic markers? #visualization #cj2014 pic.twitter.com/1muOY6tZxI
  26. For a week in September 2008, Obama commandeered the news media with the line “lipstick on a pig,” says Jon Kleinberg #cj2014
  27. That would be a nice job description for a business card: Meme tracker. #cj2014
  28. Kleinberg compares memorable & unmemorable movie lines as lab setting to see what features contribute to memorable or viral text #CJ2014
  29. How to track virality of content - use movie quotes: "These aren't the droids you're looking for." #cj2014 http://t.co/Z1YqXGlsgM
    How to track virality of content – use movie quotes: “These aren’t the droids you’re looking for.” #cj2014 pic.twitter.com/Z1YqXGlsgM
  30. Why do we like “these aren’t the droids you’re looking for” but not “you don’t need to see his identification” #CJ2014
  31. Memorable quotes are sequences of unusual words with common part of speech patterns #cj2014 – application to headline writing?
  32. Memorable quotes are less probable in their word choices but more probably in their sentence (part-of-speech) structure – Kleinberg. #cj2014
  33. Jon Kleinberg: Socially shared information - how to predict success stories? Try a sequence of unusual words.#cj2014 http://t.co/AVzW3vImS6
    Jon Kleinberg: Socially shared information – how to predict success stories? Try a sequence of unusual words.#cj2014 pic.twitter.com/AVzW3vImS6
  34. Is there an algorithmic pattern to why a movie quote is memorable? Take “you had me at hello.” What’s so special about it? #cj2014
  35. “Memorable quotes need to have a certain portability” _Jon Kleinberg #cj2014
  36. Memorable quotes tend to be more ‘general': more present tense, indefinite articles, fewer third-person pronouns >> ‘portability’ #cj2014
  37. #CJ2014 The ‘You had me at hello’ paper reference by Jon Kleinberg (including movie quotes memorability test):  http://www.mpi-sws.org/~cristian/memorability.html 
  38. Slogans in #advertising are like memorable quotes. “It just keeps going & going & going.” | #marketing #NLP #CJ2014
  39. Is there an analogy of genetics for text: ‘fitness’ of text for sharing, mutation of ‘junk’ parts of quotes while core parts remain #cj2014
  40. #cj2014 Just as genes have functional parts and junk parts, so does text - Beautiful analysis of content prolongation http://t.co/oFsLnMmrN7
    #cj2014 Just as genes have functional parts and junk parts, so does text – Beautiful analysis of content prolongation pic.twitter.com/oFsLnMmrN7
  41. “Genetic analogies for memes are becoming increasingly rich” -Jon Kleingberg #cj2014
  42. Sharing on social networks: “Can cascades be predicted?” — paper by Jon Kleinberg et al  http://bit.ly/1nCkspI  #cj2014
  43. Kleinberg wraps up his fascinating talk with new avenues for computational insight into info flows #CJ2014 http://t.co/vTloP7pllJ
    Kleinberg wraps up his fascinating talk with new avenues for computational insight into info flows #CJ2014 pic.twitter.com/vTloP7pllJ
  44. Great question: What are the features of content that make people STOP watching/reading/commenting? #CJ2014
  45. Another great question: Are there computational ways to evaluate WHO gets to be quoted in the first place? #CJ2014

#ONA13 workshop materials: Using WordPress to Structure your Beat

October 17th, 2013 § 0 comments § permalink

Materials from the structure your beat session that Stephanie Yiu, Connor Jennings and I presented.

Examples

Politifact

http://www.politifact.com/ (using Django for structure)

- statements

- people (politicians and now pudits)

- legislative bills

- commercials

- states

- true/false spectrum of fact checks

Technically Philly

http://technical.ly/philly/

http://technical.ly/philly/directory/ (uses WordPress)

- people

- organizations

- projects

- expertise

Homicide Watch

http://homicidewatch.org/ (uses Django for structure, WordPress for posts)

Kaiser Family Foundation

has 30+ Custom Post Types that allow for faceting when you search their site:

http://kff.org/search/?s=vaccinations

They combined 10 years of content across 10 CMSes into WordPress:

http://vip.wordpress.com/2013/07/02/kaiser-family-foundation-bringing-20-years-of-data-into-wordpress/

The structured data allows them to generate these maps of State and Global Health Indicators.

http://kff.org/statedata/

http://kff.org/global-indicator/malaria-deaths/#map

General types

  • Crime

  • Education

  • Government

  • Transportation

  • Business

  • Entertainment

  • Arts

  • Restaurants

  • Food/recipes

  • Sports

  • Obits

  • Anything!

How can WordPress help?

Custom post types

http://codex.wordpress.org/Post_Types

http://wp.smashingmagazine.com/2012/11/08/complete-guide-custom-post-types/

Custom meta boxes

http://codex.wordpress.org/Function_Reference/add_meta_box

http://wp.smashingmagazine.com/2011/10/04/create-custom-post-meta-boxes-wordpress/

Plugin

http://wordpress.org/plugins/meta-box

Custom fields

http://codex.wordpress.org/Custom_Fields

Custom taxonomies

http://codex.wordpress.org/Taxonomies

http://wp.smashingmagazine.com/2012/01/04/create-custom-taxonomies-wordpress/

Misc

http://wordpress.org/plugins/post-meta/

http://www.advancedcustomfields.com/

Come say hello at #ONA13 workshops, karaoke and maybe a lightning talk!

October 16th, 2013 § 0 comments § permalink

Greetings! I’m here in Atlanta for the Online News Association’s #ONA13 conference — my sixth consecutive ONA. Check out the stuff below, if it strikes your fancy.

Follow me on Twitter as @greglinch and be sure to say hello there and in-person! I’m always happy to talk about ONA, the board, the ONA student committee and a smattering of other things:

  • journalism
  • data and coding
  • science!
  • abstraction in art, poetry and music
  • milkshakes and French toast

Also, say hello to all the wonderful Washington Post folks!

Lightning talk pitch

Vote here for my lightning talk, which you can read the pitch for here.

Workshops

I’m helping to teach a few workshops alongside some awesome folks like Stephanie Yiu, Connor Jennings and Jeremy Bowers. Come join the fun!

Using WordPress to Structure your Beat
#wp4yrbeat
Thursday, 2:45 – 3:45 p.m.
room 401

Digging through notebooks or scanning old articles isn’t the best way to find archival information. Structure your beat using the key subject matter as your foundation to track people, places, organizations, incidents, schools and more.

Editorial Workflows in WordPress
#edflowwp
Friday, 11:45 a.m. – 12:45 p.m.
International 6

Learn how to use WordPress to control your copy flow, with plugins like Zone Manager, Google Docs and edit flow to wrangle emails.

Programmer Workflow
#programmerwf
Friday, 4:15 – 5 p.m.
room 401

From git to commit, root to branch, learn the best way to go from ack to zsh.

Karaoke

Join us Friday night at 9:30 at the Metro Diner Cafe for the third annual officially unofficial ONA karaoke bash. It’s just a block down that street from the conference hotel. See you there!

SPJ #journcamp in DC: code for journalists session

June 22nd, 2013 § 1 comment § permalink

Highlights from “Talking Tech: Learning the Language(s) of Web Developers — and Then Some Code” session I led at SPJ’s #jourcamp today.

View on Storify

#bcni13 measuring the impact of journalism recap

May 7th, 2013 § 0 comments § permalink

Below is a round-up of materials from BarCamp News Innovation Philly 2013 discussions about measuring the impact of journalism. Thanks to Gino Canella and the Center for Public Interest Journalism for the videos! Also, check out Jim MacMillan’s roundup of posts from #bcni13.

Erika Owen’s post:

So you want to measure impact: BarCamp 2013

CPIJ summary video of the session Brian Abelson, Erika and I led:

Full session video:

Temple University journalism chair Andrew Mendelson’s “Beyond metrics: Thinking more broadly about journalism’s impact”  talk:

Summary

Full session

I live-tweeted the session and Storified some key points he shared:


#bcni13: Andrew Mendelson’s "Beyond metrics" talk

Temple University journalism chair Andrew Mendelson presented a talk called "Beyond Metrics: Thinking more broadly about the measurement of journalism impact (or building journalism’s theory of change)."

Storified by Greg Linch· Mon, May 06 2013 21:16:35

This session is being led by @andrewmendelson. #bcni13Greg Linch
He’s interested in public interest, investigative, accountability journalism. "Theory of change." — @andrewmendelson #bcni13Greg Linch
Two ideas: Public interest journalism goal to create informed & engaged citizens and "journalism as a curriculum" @andrewmendelson #bcni13Greg Linch
Characteristics: stories themed thematically, focus on problems + solutions, address civic values — @andrewmendelson #bcni13Greg Linch
Also: incl mobilizing info (how to get involved), incl opportunities for engmt and interaction, diverse sourcing — @andrewmendelson #bcni13Greg Linch
"We need to think of multidimensional aspects of change," @andrewmendelson citing my use of the term in bit.ly/GLimpact thx! #bcni13Greg Linch
Affective level (individ) shorter term: usability measures, attitudes to topic, civic agenda shift, attitude to org @andrewmendelson #bcni13Greg Linch
Cognitive level (individ) shorter term: issue knowledge lvl (free & cued recall), mobilizing knowledge, issue frame @andrewmendelson #bcni13Greg Linch
Conative/behaviorial level (individ): engmt, issue disc + research, mobilizing + voting intention, behav chg intnt @andrewmendelson #bcni13Greg Linch
Affective (individ) longer term: +/- public mood, cynicism, poltcl self-efficacy, social capital, credblty, divrsty @andrewmendelson #bcni13Greg Linch
>@andrewmendelson calls for A/B testing on news content… couldnt agree more but wonder if editors are on board.brian abelson
Cognitive level (individ) longer term: knowledge retention, cognitive complexity abt socl issues, knwldg abt commty @andrewmendelson #bcni13Greg Linch
Conative/behavioral level (individ) longer term: cmty groups activity lvl, readership, willing to support org 1/2 @andrewmendelson #bcni13Greg Linch
Conative/behavioral level (individ) longer term: netwrk lvl/diversity, voting, willing to disc, behavior change 2/2 @andrewmendelson #bcni13Greg Linch
Showing impact: A/B testing, matched sets btw cmtys, compr betw read vs not, comp attn lvls, content/attndnce links @andrewmendelson #bcni13Greg Linch
Societal level: issue-related behavior + policy change, civic activity, voting levels, more robust news ecosystem @andrewmendelson #bcni13Greg Linch
How do people wrestle with community issues and what are they’re looking for? asks @andrewmendelson #bcni13Greg Linch
You want to get beyond just knowledge Qs to the nature of knowledge Qs, says @andrewmendelson re NYT health quiz example. #bcni13Greg Linch

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