Media Watch on Climate Change -- Visual Analytics for Aggregating and Managing Environmental Knowledge from Online Sources

Scharl, Arno; Hubmann-Haidvogel, Alexander; Weichselbraun, Albert; Lang, Heinz-Peter; Sabou, Marta

doi:10.1109/hicss.2013.398

Cited by 14 publications

(9 citation statements)

References 20 publications

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“…For example, researchers have shown that the public can generate and spread information during natural disasters and other emergencies using social media outlets, such as Twitter [4]. It is also possible to gauge disease activity [5] and public sentiment on climate change [6]. While Twitter provides an endless stream of conversations for potential study, making sense of and drawing conclusions from such large data sources is challenging.…”

Section: Justification For Visual Analytics and Twitter Usementioning

confidence: 99%

Geovisual Analytics Approach to Exploring Public Political Discourse on Twitter

Nelson

Quinn

Swedberg

et al. 2015

IJGI

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Abstract:We introduce spatial patterns of Tweets visualization (SPoTvis), a web-based geovisual analytics tool for exploring messages on Twitter (or "tweets") collected about political discourse, and illustrate the potential of the approach with a case study focused on a set of linked political events in the United States. In October 2013, the U.S. Congressional debate over the allocation of funds to the Patient Protection and Affordable Care Act (commonly known as the ACA or "Obamacare") culminated in a 16-day government shutdown. Meanwhile the online health insurance marketplace related to the ACA was making a public debut hampered by performance and functionality problems. Messages on Twitter during this time period included sharply divided opinions about these events, with many people angry about the shutdown and others supporting the delay of the ACA implementation. SPoTvis supports the analysis of these events using an interactive map connected dynamically to a term polarity plot; through the SPoTvis interface, users can compare the dominant subthemes of Tweets in any two states or congressional districts. Demographic attributes and political information on the display, coupled with functionality to show (dis)similar features, enrich users' understandings of the units being compared. Relationships among places, politics and discourse on Twitter are quantified using statistical analyses and explored visually using SPoTvis. A two-part user study evaluates SPoTvis' OPEN ACCESS ISPRS Int. J. Geo-Inf. 2015, 4 338 ability to enable insight discovery, as well as the tool's design, functionality and applicability to other contexts.

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Section: Justification For Visual Analytics and Twitter Usementioning

confidence: 99%

Geovisual Analytics Approach to Exploring Public Political Discourse on Twitter

Nelson

Quinn

Swedberg

et al. 2015

IJGI

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“…Media frames of climate change have typically been studied by analysing highquality newspapers worldwide (e.g., Akerlof et al, 2012;Dotson et al, 2012;Nerlich et al, 2012;Vestergård, 2011;Zamith et al, 2013) and to some extent tabloids (e.g., Kumpu, 2013;Waitt et al, 2012) and on-line sources (e.g., Jančevskaite and Telešiene, 2013;Scharl et al, 2013;Thorsen, 2013). In an analysis of United States (US) media and political debate from the late 1990s and onwards, Nisbet and Scheufele (2009) (Boykoff, 2008), describing climate change as sensational, alarming (Hibberd and Nguyen, 2013;Russill and Nyssa, 2009), and harmful (Ambler, 2007;Carvalho and Burgess, 2005;Zamith et al, 2013).…”

Section: Media Frames Of Climate Changementioning

confidence: 99%

Climate change frames and frame formation : An analysis of climate change communication in the Swedish agricultural sector

Asplund¹

2014

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“…Figure 1 shows a screenshot of the Media Watch on Climate Change [1], a news and social media aggregator available at www.ecoresearch.net/climate. Within the DecarboNet research project (www.decarbonet.eu), this publicly available platform is currently extended into a collective awareness platform, in close collaboration with NOAA Climate Program Office (www.climate.gov) and the World Wide Fund for Nature (www.wwf.ch).…”

Section: Introductionmentioning

confidence: 99%