Title
Extracting knowledge from the web and social media for progress monitoring in public outreach and science communication
Abstract
Given the intense attention that environmental topics such as climate change attract in news and social media coverage, key questions for large science agencies such as the National Oceanic and Atmospheric Administration (NOAA) are how different stakeholders perceive the observable threats and policy options, how public media react to new scientific insights, and how journalists present climate science knowledge to the public. This paper investigates the potential of semantic technologies to address these questions. It introduces the NOAA Media Watch and presents a detailed case study how the metrics and visualizations of the webLyzard Web intelligence platform are used to track information flows across online media channels. Building upon this platform, we present a novel framework to measure the impact of science communication and public outreach campaigns -- through a combination of quantitative and visual methods that go beyond sentiment analysis and related opinion mining approaches.
Year
DOI
Venue
2013
10.1145/2526188.2526219
WebMedia
Keywords
Field
DocType
journalists present climate science,science communication,online media channel,weblyzard web intelligence platform,large science agency,social media coverage,extracting knowledge,public outreach campaign,climate change,noaa media watch,public media,progress monitoring,visual analytics,web intelligence,semantic technologies
Data science,Science communication,World Wide Web,Semantic technology,Web intelligence,Social media,Computer science,Sentiment analysis,Information science,Outreach,Digital media,Multimedia
Conference
Citations 
PageRank 
References 
2
0.38
10
Authors
2
Name
Order
Citations
PageRank
Arno Scharl169667.13
David D. Herring222.41