[Asis-l] dataset: measuring media/compassion fatigue across languages and media systems

[kalev leetaru]

Apologies for cross-posting.  For those of you that focus on online media
and media effects, I thought this collaboration with IRIN News assessing
global media fatigue of the Nepal and Vanuatu disasters, across 65
languages and each country's media system, might be of particular interest,
especially the queries and source code to provide the foundation for other
analyses:

http://newirin.irinnews.org/dataviz/2015/7/25/nepal-earthquake-three-months-on
http://blog.gdeltproject.org/irin-news-the-nepal-earthquake-at-three-months-media-fatigue-and-bias/
http://blog.gdeltproject.org/towards-a-generalized-model-of-media-fatigue-vanuatu-nepal/

While media fatigue has obviously been heavily explored over the decades,
one of the results of the analyses above is that the two-week exponential
falloff holds consistently across each country's media system and between
the two disasters.

If you scroll to the bottom of the post below, you will find all of the
queries and source code to run your own media fatigue or other media
effects analyses across the data, which I thought might of especial
interest and use to many of you as a foundation for broader quantitative
media analyses.

http://blog.gdeltproject.org/irin-news-the-nepal-earthquake-at-three-months-media-fatigue-and-bias/


~Kalev
http://kalevleetaru.com
http://blog.gdeltproject.org/
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