I will not link to the photo here. Allow me my parental illusions of protection. I reprint it here on social media only in doctored form. I didn’t know what to use to cover her eyes.
Responsible parenting
I will not link to the photo here. Allow me my parental illusions of protection. I reprint it here on social media only in doctored form. I didn’t know what to use to cover her eyes.
Responsible parenting
We lived in a relatively unregulated digital world until now. It was great until the public realized that a few companies wield too much power today in our lives. We will see significant changes in areas like privacy, data protection, algorithm and architecture design guidelines, and platform accountability, etc. which should reduce the pervasiveness of misinformation, hate and visceral content over the internet.
个人学习可能取决于他人行为的主张突出了将学习环境视为一个涉及多个互动参与者的系统的重要性
ReconfigBehSci on Twitter: ‘Now #scibeh2020: Pat Healey from QMU, Univ. Of London speaking about (online) interaction and miscommunication in our session on “Managing Online Research Discourse” https://t.co/Gsr66BRGcJ’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1326155809437446144
Uittenhove, K., Jeanneret, S., & Vergauwe, E. (2022). From lab-based to web-based behavioural research: Who you test is more important than how you test. PsyArXiv. https://doi.org/10.31234/osf.io/uy4kb
Learn Data Science from IIT Madras faculty & Industry experts and earn a Data Science certification from India's best Engineering College. Become a Data Scientist through multiple data Science courses covered in this 7-month data science certification program with hands-on exercises & Project work.
This Data Science Course is offered by Intellipaat in collaboration with IIT Madras (one of the renowned institutes in India) to help you master Data Science skills like Python, programming, Data Visualization, Statistical analysis and computing, Deep Learning, etc.
Eager to step into the field of Data Science? Explore the Page now!
If you would like to use Google's cloud to store and sync your Chrome data but you don't want Google to access the data, you can encrypt your synced Chrome data with your own sync passphrase.
Frost, M. (n.d.). Busting COVID-19 vaccination myths. Retrieved November 2, 2021, from https://acpinternist.org/archives/2021/11/busting-covid-19-vaccination-myths.htm
How online misinformation spreads. (n.d.). Retrieved October 19, 2021, from https://knowablemagazine.org/article/society/2021/how-online-misinformation-spreads
Misinformation Alerts - Public Health Communications Collaborative. (n.d.). Public Health Communication Collaborative. Retrieved September 24, 2021, from https://publichealthcollaborative.org/misinformation-alerts/
Moss, A. J., Rosenzweig, C., Jaffe, S. N., Gautam, R., Robinson, J., & Litman, L. (2021). Bots or inattentive humans? Identifying sources of low-quality data in online platforms [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/wr8ds
Chwalisz, C. (2021). The pandemic has pushed citizen panels online. Nature, 589(7841), 171–171. https://doi.org/10.1038/d41586-021-00046-7
Lo, C., Mani, N., Kartushina, N., Mayor, J., & Hermes, J. (2021, February 11). e-Babylab: An Open-source Browser-based Tool for Unmoderated Online Developmental Studies. https://doi.org/10.31234/osf.io/u73sy
Perez Santangelo, A., & Solovey, G. (2020, November 9). Time to Shine: Reliable Response-Timing Using R-Shiny for Online Experiments. https://doi.org/10.31234/osf.io/nuxdg
And then there was what Lanier calls “data dignity”; he once wrote a book about it, called Who Owns the Future? The idea is simple: What you create, or what you contribute to the digital ether, you own.
See Tim Berners-Lee's SOLID project.
Bauer, B., Larsen, K. L., Caulfield, N., Elder, D., Jordan, S., & Capron, D. (2020). Review of Best Practice Recommendations for Ensuring High Quality Data with Amazon’s Mechanical Turk. PsyArXiv. https://doi.org/10.31234/osf.io/m78sf
Online Research Tools and Techniques. (2020, September 16). https://www.youtube.com/watch?v=wGWqBtDkOFs
Elmas, T., Overdorf, R., Akgül, Ö. F., & Aberer, K. (2020). Misleading Repurposing on Twitter. ArXiv:2010.10600 [Cs]. http://arxiv.org/abs/2010.10600
Institutions that were primarily online before the pandemic are also doing well. At colleges where more than 90 percent of students took courses solely online pre-pandemic, enrollments are growing for both undergraduate (6.8 percent) and graduate students (7.2 percent).
Online Research: From Funding to Data Collection. (n.d.). Association for Psychological Science - APS. Retrieved September 25, 2020, from https://www.psychologicalscience.org/news/online-research.html
Obradovich, N., Özak, Ö., Martín, I., Ortuño-Ortín, I., Awad, E., Cebrián, M., Cuevas, R., Desmet, K., Rahwan, I., & Cuevas, Á. (2020). Expanding the measurement of culture with a sample of two billion humans [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/qkf42
Bhatia, S., Walasek, L., Slovic, P., & Kunreuther, H. (2020). The More Who Die, the Less We Care: Evidence from Natural Language Analysis of Online News Articles and Social Media Posts. Risk Analysis, risa.13582. https://doi.org/10.1111/risa.13582
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13516/
MyData vs. COVID-19 calls (2020, June 5) - https://www.youtube.com/playlist?list=PLbpRS19STpXSWs4kTiVEx2KN5CZh6yCYI
Chang, H.-H., & Meyerhoefer, C. (2020). COVID-19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan (Working Paper No. 27427; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27427
Stephany, F., Dunn, M., Sawyer, S., & Lehdonvirta, V. (2020). Distancing Bonus or Downscaling Loss? The Changing Livelihood of US Online Workers in Times of COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/vmg34
Sakakibara, R., & Ozono, H. (2020). Psychological Research on the COVID-19 Crisis in Japan: Focusing on Infection Preventive Behaviors, Future Prospects, and Information Dissemination Behaviors. https://doi.org/10.31234/osf.io/97zye
Dunn, M., Stephany, F., Sawyer, S., Munoz, I., Raheja, R., Vaccaro, G., & Lehdonvirta, V. (2020). When Motivation Becomes Desperation: Online Freelancing During the COVID-19 Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/67ptf
Adam-Troian, J., & Bagci, S. (2020). The pathogen paradox: Evidence that perceived COVID-19 threat is associated with both pro- and anti-immigrant attitudes. https://doi.org/10.31234/osf.io/948ch
Yamada, Y. (2020). Micropublishing during and after the COVID-19 era [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/8fum4
Yeolekar, M. (2020, April 30). The Digital Migration: Lessons About Open Science Arising from the COVID19 Crisis. The Official PLOS Blog. https://theplosblog.plos.org/2020/04/the-digital-migration-lessons-about-open-science-arising-from-the-covid19-crisis/
Newman, N. (n.d.). Reuters Institute Digital News Report 2020. 112.
Willem, L., Hoang, T. V., Funk, S., Coletti, P., Beutels, P., & Hens, N. (2020). SOCRATES: An online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19 [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.03.20030627
Nivi Mani on Twitter. "I cannot stop smiling! Here is a first peek at the data from our online browser-based intermodal preferential looking set-up! We replicate the prediction effect (boy eats big cake, Mani & Huettig, 2012) using our online webcam testing software @julien__mayor @Kindskoepfe_Lab" / Twitter. (n.d.). Twitter. Retrieved June 15, 2020, from https://twitter.com/nivedita_mani/status/1265556217486815232
Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2020). Echo Chambers on Social Media: A comparative analysis. ArXiv:2004.09603 [Physics]. http://arxiv.org/abs/2004.09603
Farooq, A., Laato, S., & Islam, A. K. M. N. (2020). Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study. Journal of Medical Internet Research, 22(5), e19128. https://doi.org/10.2196/19128
The Ethics of Online Research. (2018, August 30). Leeds University Library Blog. https://leedsunilibrary.wordpress.com/2018/08/30/the-ethics-of-online-research/
Lourenco, S. F., & Tasimi, A. (2020). No Participant Left Behind: Conducting Science During COVID-19. Trends in Cognitive Sciences, S1364661320301157. https://doi.org/10.1016/j.tics.2020.05.003
Vilella, S., Paolotti, D., Ruffo, G. et al. News and the city: understanding online press consumption patterns through mobile data. EPJ Data Sci. 9, 10 (2020). https://doi.org/10.1140/epjds/s13688-020-00228-9
Wang, T., Chen, X., Zhang, Q., & Jin, X. (2020, April 26). Use of Internet data to track Chinese behavior and interest in COVID-19. https://doi.org/10.31234/osf.io/j6m8q
James, E. Tutorial Home. Github.io. https://emljames.github.io/GorillaR/