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You are what you tweet

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Natalie DixonAuthors Info & Claims

Interactions, Volume 20, Issue 1

Pages 48 - 52

https://doi.org/10.1145/2405716.2405728

Published: 01 January 2013 Publication History

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References

[1]

Dixon, N., Jakić, B., Lagerweij, R., Mooij, M., and Yudin, E. FoodMood: Measuring global food sentiment one tweet at a time. Proc. of Sixth International AAAI Conference on Weblogs and Social Media (June 4, 2012). AAAI Publications, 2012.

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Bertini, E. Data visualization and influence. 2011; http://fellinlovewithdata.com/reflections/data-visualization-influence-1.

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World Health Organisation Europe Fact and Figures; http://www.euro.who.int/en/what-we-do/health-topics/disease-prevention/nutrition/facts-and-figures.

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Desmet, P. and Schifferstein, H. Sources of positive and negative emotions in food experience. Appetite 50, 2-3 (2008), 290--301.

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Hoekstra, A.Y., ed. Virtual water trade. Proceedings of the International Expert Meeting on Virtual Water Trade. Value of Water Research Report Series 12. Delft, The Netherlands, 2003.

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A few examples include: Vegemite (a popular Australian spread), biltong (a cured meat specialty unique to South Africa), biryani and chapati (traditional Indian rice dish and side bread), bun cha (a Vietnamese grilled pork noodle soup), and lechon (a traditional Argentinean dish of roasted suckling pig).

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Alsudias LRayson P(2021)Social Media Monitoring of the COVID-19 Pandemic and Influenza Epidemic With Adaptation for Informal Language in Arabic Twitter Data: Qualitative StudyJMIR Medical Informatics10.2196/276709:9(e27670)Online publication date: 17-Sep-2021
https://doi.org/10.2196/27670
Barros JDuggan JRebholz-Schuhmann D(2019)Internet-Based Sources of Health Information: A Systematic Literature Review (Preprint)Journal of Medical Internet Research10.2196/13680Online publication date: 24-Feb-2019
https://doi.org/10.2196/13680
Neuman YCohen Y(2014)A Vectorial Semantics Approach to Personality AssessmentScientific Reports10.1038/srep047614:1Online publication date: 23-Apr-2014
https://doi.org/10.1038/srep04761
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Index Terms

You are what you tweet
1. Applied computing
  1. Law, social and behavioral sciences
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

Interactions Volume 20, Issue 1

January + February 2013

81 pages

ISSN:1072-5520

EISSN:1558-3449

DOI:10.1145/2405716

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 2013

Published in INTERACTIONS Volume 20, Issue 1

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Alsudias LRayson P(2021)Social Media Monitoring of the COVID-19 Pandemic and Influenza Epidemic With Adaptation for Informal Language in Arabic Twitter Data: Qualitative StudyJMIR Medical Informatics10.2196/276709:9(e27670)Online publication date: 17-Sep-2021
https://doi.org/10.2196/27670
Barros JDuggan JRebholz-Schuhmann D(2019)Internet-Based Sources of Health Information: A Systematic Literature Review (Preprint)Journal of Medical Internet Research10.2196/13680Online publication date: 24-Feb-2019
https://doi.org/10.2196/13680
Neuman YCohen Y(2014)A Vectorial Semantics Approach to Personality AssessmentScientific Reports10.1038/srep047614:1Online publication date: 23-Apr-2014
https://doi.org/10.1038/srep04761
Ponjuan GPinto M(undefined)Conceptualizaciin Y Perspectivas De La Alfabetizaciin Informacional En Iberoammrica: Un Estudio Delphi. (Conceptualization and Perspectives of Information Literacy in Ibero-America: A Delphi Study)SSRN Electronic Journal10.2139/ssrn.2765446
https://doi.org/10.2139/ssrn.2765446

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Fake tweet buster: a webtool to identify users promoting fake news ontwitter

Predicting Tweet Retweetability during Hurricane Disasters

Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones

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