Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/106311
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Type: Journal article
Title: The Lexicocalorimeter: gauging public health through caloric input and output on social media
Author: Alajajian, S.
Williams, J.
Reagan, A.
Alajajian, S.
Frank, M.
Mitchell, L.
Lahne, J.
Danforth, C.
Dodds, P.
Citation: PLoS ONE, 2017; 12(2):e0168893-1-e0168893-25
Publisher: Public Library of Science (PLoS)
Issue Date: 2017
ISSN: 1932-6203
1932-6203
Statement of
Responsibility: 
Sharon E. Alajajian, Jake Ryland Williams, Andrew J. Reagan, Stephen C. Alajajian, Morgan R. Frank, Lewis Mitchell, Jacob Lahne, Christopher M. Danforth, Peter Sheridan Dodds
Abstract: We propose and develop a Lexicocalorimeter: an online, interactive instrument for measuring the "caloric content" of social media and other large-scale texts. We do so by constructing extensive yet improvable tables of food and activity related phrases, and respectively assigning them with sourced estimates of caloric intake and expenditure. We show that for Twitter, our naive measures of "caloric input", "caloric output", and the ratio of these measures are all strong correlates with health and well-being measures for the contiguous United States. Our caloric balance measure in many cases outperforms both its constituent quantities, is tunable to specific health and well-being measures such as diabetes rates, has the capability of providing a real-time signal reflecting a population's health, and has the potential to be used alongside traditional survey data in the development of public policy and collective self-awareness. Because our Lexicocalorimeter is a linear superposition of principled phrase scores, we also show we can move beyond correlations to explore what people talk about in collective detail, and assist in the understanding and explanation of how population-scale conditions vary, a capacity unavailable to black-box type methods.
Keywords: physics.soc-ph; physics.soc-ph; cs.CY; cs.SI
Rights: © 2017 Alajajian et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
RMID: 0030064877
DOI: 10.1371/journal.pone.0168893
Appears in Collections:Mathematical Sciences publications

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