- Mar 2022
-
twitter.com twitter.com
-
ReconfigBehSci on Twitter: ‘this really is now a disinformation account. I retweeted posts earlier in the pandemic as part of a balanced spread of opinion. But this will be the last one...’ / Twitter. (n.d.). Retrieved 29 March 2022, from https://twitter.com/SciBeh/status/1478485258395951108
-
- Jul 2021
-
www.cdc.gov www.cdc.gov
-
CDC. (2020, February 11). Coronavirus Disease 2019 (COVID-19). Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html
-
- Jun 2021
-
psyarxiv.com psyarxiv.com
-
Antico, L., & Corradi-Dell’Acqua, C. (2021). Far from the eyes, far from the heart. COVID-19 confinement dampened sensitivity to painful facial features. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ewvp7
-
- Feb 2021
-
link.aps.org link.aps.org
-
Ye, Y., Zhang, Q., Ruan, Z., Cao, Z., Xuan, Q., & Zeng, D. D. (2020). Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission. Physical Review E, 102(4), 042314. https://doi.org/10.1103/PhysRevE.102.042314
-
-
-
Vigfusson, Y., Karlsson, T. A., Onken, D., Song, C., Einarsson, A. F., Kishore, N., Mitchell, R. M., Brooks-Pollock, E., Sigmundsdottir, G., & Danon, L. (2021). Cell-phone traces reveal infection-associated behavioral change. Proceedings of the National Academy of Sciences, 118(6). https://doi.org/10.1073/pnas.2005241118
-
- Jan 2021
-
journals.plos.org journals.plos.org
-
Parag. K. V., Donnelly. C. A., (2020) Using information theory to optimise epidemic models for real-time prediction and estimation. PLOS. Retrieved from https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007990
-
- Oct 2020
-
covid-19.iza.org covid-19.iza.org
-
COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 10, 2020, from https://covid-19.iza.org/publications/dp13574/
-
-
journals.sagepub.com journals.sagepub.com
-
Li, J., & Zheng, H. (2020). Online InformationSeeking and Disease Prevention Intent During COVID-19 Outbreak. Journalism & Mass Communication Quarterly, 1077699020961518. https://doi.org/10.1177/1077699020961518
-
- Sep 2020
-
-
Miyoshi, S., Jusup, M., & Holme, P. (2020). Flexible imitation mechanisms suppress epidemics through better vaccination. ArXiv:2009.00443 [Physics, q-Bio]. http://arxiv.org/abs/2009.00443
-
- Aug 2020
-
psyarxiv.com psyarxiv.com
-
Gratton, C., Gagnon-St-Pierre, É., & Markovits, H. (2020). When forewarned is not forearmed: The paradoxical effect of single warnings attached to repeated fake news [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/h5cxp
-
-
osf.io osf.io
-
Beytía, P., & Infante, C. C. (2020). Digital Pathways, Pandemic Trajectories. Using Google Trends to Track Social Responses to COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yndb7
-
-
covid-19.iza.org covid-19.iza.org
-
Dynamics of Social Mobility during the COVID-19 Pandemic in Canada. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13376/
-
-
-
Moya, C., Cruz y Celis Peniche, P. D., Kline, M. A., & Smaldino, P. (2020). Dynamics of Behavior Change in the COVID World [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/kxajh
-
-
link.aps.org link.aps.org
-
Velásquez-Rojas, F., Ventura, P. C., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. Physical Review E, 102(2), 022312. https://doi.org/10.1103/PhysRevE.102.022312
-
-
covid-19.iza.org covid-19.iza.org
-
Sudden Stop: When Did Firms Anticipate the Potential Consequences of COVID-19?. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13457/
-
- Jul 2020
-
osf.io osf.io
-
Tasnim, S., Hossain, M. M., & Mazumder, H. (2020). Impact of rumors or misinformation on coronavirus disease (COVID-19) in social media [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/uf3zn
-
-
-
Gleeson, J. P., Onaga, T., Fennell, P., Cotter, J., Burke, R., & O’Sullivan, D. J. P. (2020). Branching process descriptions of information cascades on Twitter. ArXiv:2007.08916 [Physics]. http://arxiv.org/abs/2007.08916
-
-
www.youtube.com www.youtube.com
-
Pre conference—WHO first infodemiology conference. (2020, June 29). https://www.youtube.com/watch?v=OmuqK8Drzbg
-
- Jun 2020
-
www.thelancet.com www.thelancet.com
-
Paakkari, L., & Okan, O. (2020). COVID-19: Health literacy is an underestimated problem. The Lancet Public Health, S2468266720300864. https://doi.org/10.1016/S2468-2667(20)30086-4
-
-
www.bloomberg.com www.bloomberg.com
-
Gurman, M. (2020 April 10). Apple, Google bring Covid-19 contact tracing to 3 billion people. Bloomberg. https://www.bloomberg.com/news/articles/2020-04-10/apple-google-bring-covid-19-contact-tracing-to-3-billion-people
-
- May 2020
-
-
Dahl Fitjar, R. (2020, May 9). The density and connectedness of cities now appear as weaknesses. LSE Business Review. https://blogs.lse.ac.uk/businessreview/2020/05/09/the-density-and-connectedness-of-cities-now-appear-as-weaknesses/
-
-
blogs.scientificamerican.com blogs.scientificamerican.com
-
Brangwynne, C. (2020 April 29). How a Landmark Physics Paper from the 1970s Uncannily Describes the COVID-19 Pandemic. Scientific American Blog Network. https://blogs.scientificamerican.com/observations/how-a-landmark-physics-paper-from-the-1970s-uncannily-describes-the-covid-19-pandemic/
-
-
www.health.gov.au www.health.gov.au
-
Coronavirus (COVID-19) in Australia – Pandemic Health Intelligence Plan [Text]. (2020, May 6). Australian Government Department of Health. https://www.health.gov.au//resources/publications/coronavirus-covid-19-in-australia-pandemic-health-intelligence-plan
-
-
www.economist.com www.economist.com
-
Countries are using apps and data networks to keep tabs on the pandemic. (2020 March 26). The Economist. https://www.economist.com/briefing/2020/03/26/countries-are-using-apps-and-data-networks-to-keep-tabs-on-the-pandemic?fsrc=newsletter&utm_campaign=the-economist-today&utm_medium=newsletter&utm_source=salesforce-marketing-cloud&utm_term=2020-05-07&utm_content=article-link-1
-
- Apr 2020
-
psyarxiv.com psyarxiv.com
-
Olapegba, P. O., Ayandele, O., Kolawole, S. O., Oguntayo, R., Gandi, J. C., Dangiwa, A. L., … Iorfa, S. K. (2020, April 12). COVID-19 Knowledge and Perceptions in Nigeria. https://doi.org/10.31234/osf.io/j356x
Tags
- information
- COVID-19
- Nigeria
- lang:en
- lockdown
- symptom
- behavior
- data collection
- infection
- knowledge
- descriptive statistics
- news
- health information
- misinformation
- questionnaire
- precaution
- perception
- public health
- general public
- is:preprint
- prevention
- transmission
- misconception
- China
- media
Annotators
URL
-
-
arxiv.org arxiv.org
-
Gao, S., Rao, J., Kang, Y., Liang, Y., & Kruse, J. (2020). Mapping county-level mobility pattern changes in the United States in response to COVID-19. ArXiv:2004.04544 [Physics, q-Bio]. http://arxiv.org/abs/2004.04544
-
-
arxiv.org arxiv.org
-
Nanni, M., Andrienko, G., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Giannotti, F., Guidotti, R., Helbing, D., Kertesz, J., Lehmann, S., Lepri, B., Lukowicz, P., … Vespignani, A. (2020). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. ArXiv:2004.05222 [Cs]. http://arxiv.org/abs/2004.05222
-
-
featuredcontent.psychonomic.org featuredcontent.psychonomic.org
-
Psychonomic Society. Reduce Face Touching. Psychonomic.org. https://featuredcontent.psychonomic.org/behavioral-science-recommendations/reduce-face-touching/
-
-
-
Punn, N. S., Sonbhadra, S. K., & Agarwal, S. (2020). COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms [Preprint]. Health Informatics. https://doi.org/10.1101/2020.04.08.20057679
-
-
cdn2.hubspot.net cdn2.hubspot.net
-
Savanta Coronavirus Data Tracker
Tags
- information
- COVID-19
- attitude
- latest
- resources
- tracker
- lang:en
- symptom
- behavior
- data
- home
- news
- consumption
- activity
- results
- UK
- supermarket
- is:pdf
- economy
- transmission
Annotators
URL
-
-
psyarxiv.com psyarxiv.com
-
Sailer, M., Stadler, M., Botes, E., Fischer, F., & Greiff, S. (2020, April 9). Science knowledge and trust in medicine affect individuals’ behavior in pandemic crises. https://doi.org/10.31234/osf.io/tmu8f
-
-
www.nsf.gov www.nsf.gov
- Jul 2018
-
wendynorris.com wendynorris.com
-
The overload of information, for example, is becoming so extensive that taking advantage of only the tiniest fraction of it not only blows apart the principle of instantaneity and 'real-time' communication, but also slows down operators to a pomt where they lose themselves in the eternity of electronically networked information.
High tempo Information overload exacerbates time compression and thus impacts temporal sensemaking through typical means via chronologies, linear information processing, and past/present/future contexts.
-