nach oben

Information Systems Frontiers

Erschienen in:

04.11.2020

An Investigation of Misinformation Harms Related to Social Media during Two Humanitarian Crises

verfasst von: Thi Tran, Rohit Valecha, Paul Rad, H. Raghav Rao

Erschienen in: Information Systems Frontiers | Ausgabe 4/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

During humanitarian crises, a large amount of information is circulated in a short period of time, either to withstand or respond to such crises. Such crises also give rise to misinformation that spreads within and outside the affected community. Such misinformation may result in information harms that can generate serious short term or long-term consequences. In the context of humanitarian crises, we propose a synthesis of misinformation harms and assess people’s perception of harm based on their work experience in the crisis response arena or their direct exposure to crises.

Vorheriger Artikel UnderTracker: Generating Robust Binaries Using Execution Flow Traces

Nächster Artikel Is the Convenience Worth the Risk? An Investigation of Mobile Payment Usage

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren

https://www.qualtrics.com/

https://www.mturk.com/

Agrafiotis, I., Nurse, J. R., Goldsmith, M., Creese, S., & Upton, D. (2018). A taxonomy of cyber-harms: Defining the impacts of cyber-attacks and understanding how they propagate. Journal of Cybersecurity, 4(1), tyy006.CrossRef

Alexander, K. (2018). What caused nearly 20,000 quakes at Oroville dam? Scientists weigh in on mystery”. Retrieved on 08/25/2019 from: https://www.sfchronicle.com/news/article/What-caused-nearly-20-000-quakes-at-Oroville-Dam-13473254.php

Bostrom, N. 2011. “Information hazards: A typology of potential harms from knowledge”. Review of Contemporary Philosophy, 10, 44–79. Retrieved on 07/01/2019 from http://search.proquest.com/docview/920893069/

Buhrmester, D. M., Kwang, N. T., & Gosling, D. S. (2011). Amazon's mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3–5. https://doi.org/10.1177/1745691610393980.CrossRef

Casler, K., Bickel, L., & Hackett, E. E. (2013). Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing. Computers in Human Behavior, 29(6), 2156–2160.CrossRef

Chary, M., Overbeek, D., Papadimoulis, A., Sheroff, A., & Burns, M. (2020). Geospatial correlation between covid-19 health misinformation on social media and poisoning with household cleaners. MedRxiv Preprint. https://doi.org/10.1101/2020.04.30.20079657.

Cheung, H. J., Burns, K. D., Sinclair, R., & Sliter, M. (2017). Amazon mechanical Turk in organizational psychology: An evaluation and practical recommendations. Journal of Business and Psychology, 32(4), 347–361. https://doi.org/10.1007/s10869-016-9458-5.CrossRef

Dredze, M., Broniatowski, D. A., & Hilyard, K. M. (2016). Zika vaccine misconceptions: A social media analysis. Vaccine, 34(30), 3441–3442.CrossRef

Elliott, D. (2019). Concept unwrapped – Causing harms. Copyright © 2019 ethics unwrapped - McCombs School of Business – The University of Texas at Austin. Retrieved on 02/15/2019 from: https://ethicsunwrapped.utexas.edu/video/causing-harm.

Ghenai, A., & Mejova, Y. 2017. Catching Zika fever: Application of crowdsourcing and machine learning for tracking health misinformation on twitter. arXiv.org.

Gupta, A., Lamba, H., Kumaraguru, P., Joshi, A. (2013). Faking sandy: Characterizing and identifying fake images on twitter during hurricane sandy. In Proceedings of the 22nd international conference on world wide web (pp. 729-736).

Heen, M. S., Lieberman, J. D., & Miethe, T. D. (2014). A comparison of different online sampling approaches for generating National Samples. UNLV – Center Crime Justice Policy, 1, 1–8 Research in brief. September 2014, CCJP 2014-01.

Holdeman, E. (2018). BLOG: Disaster zone: How to counter fake news during a disaster. Chicago: TCA Regional News.

Howell, C. H. (2010). “Scheffé test”. In: Encyclopedia of Research Design, pages: 1323-1325. Published by SAGE Knowledge. Subject: Research Design. Edited by: Neil J. Salkind. https://doi.org/10.4135/9781412961288.n404.

Jamison, A. M., Broniatowski, D. A., Dredze, M., Wood-Doughty, Z., Khan, D., & Quinn, S. C. (2020). Vaccine-related advertising in the Facebook ad archive. Vaccine, 38(3), 512–520.CrossRef

Love, J. S., Blumenberg, A., & Horowitz, Z. (2020). The parallel pandemic: Medical misinformation and COVID-19: Primum non nocere. Journal of General Internal Medicine, 35, 1–2. https://doi.org/10.1007/s11606-020-05897-w.CrossRef

Ma, X., Vervoort, D., & Luc, J. G. (2020). When misinformation goes viral: Access to evidence-based information in the COVID-19 pandemic. Journal of Global Health science, 2(1), e13. https://doi.org/10.35500/jghs.2020.2.e13 pISSN 2671-6925·eISSN 2671-6933.CrossRef

Maddock, J., Starbird, K., Al-Hassani, H., Sandoval, D., Orand, M., Mason, R. (2015). Characterizing online rumoring behavior using multi-dimensional signatures. In Proceedings of the 18th ACM conference on computer supported cooperative work & social computing (pp. 228–241). ACM.

Majima, Y., Nishiyama, K., Nishihara, A., & Hata, R. (2017). Conducting online behavioral research using crowdsourcing services in Japan. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00378.

McNamara, A. (2019). Facebook announces plan to combat anti-vaccine misinformation. Retrieved on 06/14/2019 from: https://www.thedailybeast.com/facebook-announces-plan-to-combat-vaccine-misinformation

Miller, C. A. (2019). Viral misinformation: Rise of 'anti-vaxxer' movement requires news literacy inoculation. USA today. Retrieved on 6/14/2019 from: https://www.usatoday.com/story/opinion/2019/05/03/measles-spread-viral-anti-vaxxer-misinformation-internet-literacy-news-column/3650914002/

Motta, M., Stecula, D., Farhart, C. (2020). How right-leaning media coverage of COVID-19 facilitated the spread of misinformation in the early stages of the pandemic in the US. Canadian Journal of Political Science/revue canadienne de science politique, pp.1-8. https://doi.org/10.1017/S0008423920000396.

Nealon, C. (2017). False Tweets During Harvey, Irma Under Scrutiny by University At Buffalo Researchers. Washington, D.C: US Fed News Service, Including US State News [Washington, D.C]29. Sep 2017. Retrieved on 02/15/2019 from: http://www.buffalo.edu/news/releases/2017/09/044.html.

Newton, C. (2019). Instagram will begin blocking hashtags that return anti-vaccination misinformation. Retrieved on 06/14 from: https://www.theverge.com/2019/5/9/18553821/instagram-anti-vax-vaccines-hashtag-blocking-misinformation-hoaxes

Oh, O., Agrawal, M., & Rao, H. (2013). Community intelligence and social media services: A rumor theoretic analysis of tweets during social crises. MIS Quarterly, 37(2), 407–426.CrossRef

Ohlhausen, M.K. (2017). Informational Injury in FTC Privacy and Data Security Cases. Retrieved on 02/15/2019 from: https://www.ftc.gov/system/files/documents/public_statements/1255113/privacy_speech_mkohlhausen.pdf.

Pang, N., & Ng, J. (2017). Misinformation in a riot: A two-step flow view. Online Information Review, 41(4), 438–453.CrossRef

Park, I., Lee, J., Upadhyaya, S. J., & Rao, H. R. (2006). Emerging issues for secure knowledge management-results of a Delphi study. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 36(3), 421–428. https://doi.org/10.1109/TSMCA.2006.871644CrossRef

Peretti-Watel, P., Raude, J., Sagaon-Teyssier, L., Constant, A., Verger, P., & Beck, F. (2014). Attitudes toward vaccination and the H1N1 vaccine: Poor people’s unfounded fears or legitimate concerns of the elite? Social Science & Medicine, 109, 10–18.CrossRef

Rajdev, M., & Lee, K. 2015. “Fake and spam messages: Detecting misinformation during natural disasters on social media”. In 2015 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology (WI-IAT) (Vol. 1, pp. 17-20). IEEE.

Sandvik, K., Jacobsen, K., & McDonald, S. (2017). Do no harm: A taxonomy of the challenges of humanitarian experimentation, 99(904), 319–344. https://doi.org/10.1017/S181638311700042X.CrossRef

Sheehan, B. K. (2018). Crowdsourcing research: Data collection with Amazon’s mechanical Turk. Communication Monographs, 85(1), 140–156. https://doi.org/10.1080/03637751.2017.1342043.CrossRef

Tran, T., Valecha, R., Rao, H. R. and Rad, P. (2019). Misinformation harms during crises: When the human and machine loops interact," 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, 2019, pp. 4644–4646.

Titel: An Investigation of Misinformation Harms Related to Social Media during Two Humanitarian Crises
verfasst von: Thi Tran
Rohit Valecha
Paul Rad
H. Raghav Rao
Publikationsdatum: 04.11.2020
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 4/2021
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-020-10088-3

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 4/2021

Borrower Learning Effects: Do Prior Experiences Promote Continuous Successes in Peer-to-Peer Lending?

An Energy Efficient e-Healthcare Framework Supported by Novel EO-μGA (Extremal Optimization Tuned Micro-Genetic Algorithm)

Robust Android Malware Detection System Against Adversarial Attacks Using Q-Learning

Privacy-Preserving Mutual Authentication and Key Agreement Scheme for Multi-Server Healthcare System

Is the Convenience Worth the Risk? An Investigation of Mobile Payment Usage

Exploring the Multi-Level Digital Divide in Mobile Phone Adoption: A Comparison of Developing Nations