Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Using Information Processing Strategies to Predict Message Level Contagion in Social Media Read chapter Read first chapter

2020 | OriginalPaper | Chapter

EmoVis – An Interactive Visualization Tool to Track Emotional Trends During Crisis Events

Authors : Samira Shaikh, Karthik Ravi, Tiffany Gallicano, Michael Brunswick, Bradley Aleshire, Omar El-Tayeby, Sara Levens

Published in: Advances in Artificial Intelligence, Software and Systems Engineering

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The goal of this research is to develop a novel tool that can aid social science researchers in inferring emotional trends over large-scale cultural stressors. We demonstrate the usefulness of the tool in describing the emotional timeline of a major crisis event – the 2017 Charlottesville protests. The tool facilitates understanding of how large-scale cultural stressors yield changes in emotional responses. The timeline tool describes the modulation of emotional intensity with respect to how the Charlottesville event unfolded on Twitter. We have developed multiple features associated with the tool that tailor the presentation of the data, including the ability to focus on single or multiple emotions (e.g., anger and anxiety) and also delineate the timeline based on events that precede crises events, in this case, the Charlottesville protests. By doing so, we can begin to identify potential antecedents to various protest phenomena and their accompanying emotional responses.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Using Information Processing Strategies to Predict Message Level Contagion in Social Media
next chapter Social Convos: A New Approach to Modeling Information Diffusion in Social Media
Literature
1.
Perrin, A.: Social media usage. Pew Research Center, 52–68 (2015)
2.
Flaxman, S., Goel, S., Rao, J.M.: Filter bubbles, echo chambers, and online news consumption. Public Opin. Q. 80(S1), 298–320 (2016)CrossRef
3.
Wahl-Jorgensen, K.: The emotional architecture of social media. In: A Networked Self and Platforms, Stories, Connections, pp. 93–109. Routledge, Abingdon (2018)CrossRef
4.
Power, M., Dalgleish, T.: Cognition and Emotion. From Order to Disorder. Psychology Press, Hove (1997)
5.
Västfjäll, D., Slovic, P., Mayorga, M.: Whoever saves one life saves the world: confronting the challenge of pseudoinefficacy. Submitted for publication (2014)
6.
7.
Plutchik, R.: Emotions and psychotherapy: a psychoevolutionary perspective. In: Emotion, Psychopathology, and Psychotherapy, pp. 3–41. Academic Press, San Diego (1990)CrossRef
8.
Hasan, M., Rundensteiner, E., Agu, E.: Emotex: detecting emotions in twitter messages (2014)
9.
10.
Mohammad, S., et al.: Semeval-2018 task 1: affect in tweets. In: Proceedings of the 12th International Workshop on Semantic Evaluation (2018)
11.
Goel, P., et al.: Prayas at emoint 2017: an ensemble of deep neural architectures for emotion intensity prediction in tweets. In: Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (2017)
12.
Duppada, V., Jain, R., Hiray, S.: SeerNet at SemEval-2018 task 1: domain adaptation for affect in tweets. arXiv preprint arXiv:​1804.​06137 (2018)
13.
Abdullah, M., Hadzikadic, M., Shaikh, S.: SEDAT: sentiment and emotion detection in Arabic text using CNN-LSTM deep learning. In: 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE (2018)
14.
Abdullah, M., Shaikh, S.: TeamUNCC at SemEval-2018 task 1: emotion detection in English and Arabic tweets using deep learning. In: Proceedings of the 12th International Workshop on Semantic Evaluation (2018)
15.
Back, M.D., Küfner, A.C.P., Egloff, B.: The emotional timeline of September 11, 2001. Psychol. Sci. 21(10), 1417–1419 (2010)CrossRef
16.
Atkeson, L.R., Maestas, C.D.: Catastrophic Politics: How Extraordinary Events Redefine Perceptions of Government. Cambridge University Press, Cambridge (2012)CrossRef
17.
Shirky, C.: Here Comes Everybody: The Power of Organizing Without Organizations. Penguin, London (2008)
18.
Bade, R., Schlechtweg, S., Miksch, S.: Connecting time-oriented data and information to a coherent interactive visualization. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM (2004)
19.
20.
Zollo, F., et al.: Emotional dynamics in the age of misinformation. PLoS ONE 10(9), e0138740 (2015)CrossRef
21.
Wang, F.Y., et al.: SentiCompass: interactive visualization for exploring and comparing the sentiments of time-varying twitter data. In: 2015 IEEE Pacific Visualization Symposium (PacificVis). IEEE (2015)
22.
Zhao, J., et al.: PEARL: an interactive visual analytic tool for understanding personal emotion style derived from social media. In: 2014 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE (2014)
23.
Peters, M.A., Besley, T.: White supremacism: the tragedy of Charlottesville. Educ. Psychol. Theor. 49(14), 1309–1312 (2017)
24.
Principe, M.: When white supremacists march: the message of charlottesville. Against Curr. 32(4), 4 (2017)
25.
26.
Pennebaker, J.W., Francis, M.E., Booth, R.J.: Linguistic Inquiry and Word Count. LIWC 2001, vol. 71. Lawrence Erlbaum Associates, Mahway (2001)
Metadata
Title
EmoVis – An Interactive Visualization Tool to Track Emotional Trends During Crisis Events
Authors
Samira Shaikh
Karthik Ravi
Tiffany Gallicano
Michael Brunswick
Bradley Aleshire
Omar El-Tayeby
Sara Levens
Copyright Year
2020
Book
Advances in Artificial Intelligence, Software and Systems Engineering

Print ISBN: 978-3-030-20453-2

Electronic ISBN: 978-3-030-20454-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-20454-9_2

Premium Partners

    Image Credits