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Porismita Borah

Researcher at Washington State University

Publications -  73
Citations -  2157

Porismita Borah is an academic researcher from Washington State University. The author has contributed to research in topics: Medicine & Politics. The author has an hindex of 16, co-authored 48 publications receiving 1497 citations. Previous affiliations of Porismita Borah include University of Salamanca & University of Wisconsin-Madison.

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Conceptual Issues in Framing Theory: A Systematic Examination of a Decade's Literature

TL;DR: The authors examined the framing literature from 93 peer-reviewed journals for a decade and found that framing studies have concentrated more on message design and unique frames and that there is a lack of research about production of frames and mixed frames.
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A New Space for Political Behavior: Political Social Networking and its Democratic Consequences

TL;DR: It is test the proposition that political use of SNS among teens offers a new pathway to their political participation using hierarchical linear regression and panel data analysis and demonstrates that political SNS use strongly impacted both levels of and growth in traditional political participation during the 2008 election.
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Message Design Strategies to Raise Public Awareness of Social Determinants of Health and Population Health Disparities

TL;DR: Three message strategies that could be used to raise awareness of social determinants of health (SDH) and health disparities are reviewed: message framing, narratives, and visual imagery.
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Does It Matter Where You Read the News Story? Interaction of Incivility and News Frames in the Political Blogosphere

TL;DR: Primary findings indicate the detrimental effects of incivility causing less openmindedness and more attitude certainty and how incvility interacts with news frames.
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The Importance of ‘Likes’: The Interplay of Message Framing, Source, and Social Endorsement on Credibility Perceptions of Health Information on Facebook

TL;DR: The findings demonstrate that a gain-framed message from an expert source with high number of ‘likes’ is considered the most credible message, which has significant implications for information gathering from social media sources, such as the influence of 'likes' on health information.