The digital traces of user generated content

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THE DIGITAL TRACES OF USER-GENERATED CONTENT: HOW SOCIAL MEDIA DATA MAY BECOME THE HISTORICAL SOURCES OF THE FUTURE LIBRARY OF CONGRESS, MAY 14TH, 2015 DR. KATRIN WELLER GESIS – LEIBNIZ-INSTITUT FÜR SOZIALWISSENSCHAFTEN JOHN W. KLUGE FELLOWSHIP IN DIGITAL STUDIES, LIBRARY OF CONGRESS WWW.KATRINWELLER.DE [email protected] ● @KWELLE

Transcript of The digital traces of user generated content

THE DIGITAL TRACES

OF USER-GENERATED

CONTENT:

HOW SOCIAL MEDIA DATA MAY BECOME THE

HISTORICAL SOURCES OF THE FUTURE

LIBRARY OF CONGRESS, MAY 14TH, 2015

DR. KATRIN WELLER

GESIS – LEIBNIZ-INSTITUT FÜR SOZIALWISSENSCHAFTEN

JOHN W. KLUGE FELLOWSHIP IN DIGITAL STUDIES, LIBRARY OF CONGRESS

WWW.KATRINWELLER.DE ● [email protected] ● @KWELLE

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SERIOUSLY? DO THEY NOT REALIZE THAT

99% OF TWEETS ARE WORTHLESS BABBLE

THAT READ SOMETHING LIKE

‘JUST WOKE UP. GOING TO STARBUCKS

NOW. GETTING LATTE.’

READER’S COMMENT FOUND IN THE COMMENT SECTION FOR GROSS, D. (2010, APRIL 14). LIBRARY OF CONGRESS TO ARCHIVE YOUR TWEETS. CNN.

RETRIEVED FROM HTTP://EDITION.CNN.COM/2010/TECH/04/14/LIBRARY.CONGRESS.TWITTER/, RETRIEVED NOVEMBER 19.

PHOTOS: HTTPS://WWW.FLICKR.COM/SEARCH/?TEXT=COFFEE&LICENSE=4%2C5%2C6%2C9%2C10

SOCIAL MEDIA AND

USER-GENERATED CONTENT

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5 2006

6 2011

BUT…

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INFORMATION ABOUT

EVERYDAY LIFE

SOCIAL MEDIA IS

AFFECTING DISCOURSES

AND EVENTS

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#egypt #gezi

#furgeson #jesuischarlie

#occupy #qldfloods

#royalwedding #olympics

#election2012

(SOCIAL MEDIA USERS

INTERACTING WITH

HISTORICAL

SOURCES/PLACES)

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SOCIAL MEDIA

VS.

TRADITIONAL SOURCES

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SIMILAR CONTENT

http://asp.tacticalgear.com/

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SIMILAR CONCEPTS

http://storycorps.org/

Oral History vs. Crowdsourcing?

NEW FORMATS

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NEW MODES OF ANALYSIS

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Paul Butler, Data: Facebook.

Imagage: https://www.facebook.com/note.php?note_id=469716398919

Miguel Rios (Twitter)

Data: Twitter

http://chronicle.com/blogs/wiredcampus/this-is-what-a-sabbatical-at-twitter-looks-like/31498

See also: https://blog.twitter.com/2012/euro-2012-recap

Graphs by: Cornelius Puschmann

Data: Twitter

Puschmann, C., Weller, K., & Dröge, E. (2011). Studying Twitter conversations as (dynamic) graphs: visualization and

structural comparison. Presented at General Online Research, 14-16 March 2011, Düsseldorf, Germany.

http://ynada.com/posters/gor11.pdf.

SOCIAL MEDIA

VS.

SOCIAL MEDIA

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FORMATS

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https://blog.twitter.com/2015/now-on-twitter-group-direct-messages-and-mobile-video-capture

IMMEDIATENESS

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IMMEDIATENESS

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http://twitpic.com/135xa

IMMEDIATENESS

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http://en.wikipedia.org/wiki/US_Airways_Flight_1549

USER‘S MOTIVATION

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USER‘S MOTIVATION

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AVAILABILITY

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AVAILABILITY

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http://politwoops.sunlightfoundation.com/tweet/595702073062256640

http://sunlightfoundation.com/blog/2015/05/08/deletes-of-the-week-dont-automate-tweets-write-them/

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TOP CHALLENGES FOR

HISTORIANS AND LIBRARIES

d

DARK AGES?

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LOST FOREVER?

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LOST FOREVER?

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LOST FOREVER?

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d

DIGITAL DIVIDE

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d

TIP OF THE ICEBERG?

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THANK YOU!

QUESTIONS? YES, PLEASE!

Slides are available at: http://slideshare.net/katrinweller/

Coming soon:

Weller, K. (2015). The digital traces of user-generated

content: How social media data may become the historical

sources of the future . To appear in Managing Digital

Cultural Objects: Analysis, Discovery, Retrieval”, edited by

Pauline M. Rafferty and Allen Forster.

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@kwelle ● [email protected] ● http://katrinweller.net