• for: quote, quote - Prateek Raj, quote - internet regulation, quote - reducing misinformation, fake news, indyweb - support
• quote
  • 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.
  • These steps will also reduce the power wielded by digital giants.
  • Beyond these immediate effects, it is difficult to say if these social innovations will create a more participative and healthy society.
  • These broader effects are driven by deeper underlying factors, like
    • history,
    • diversity,
    • cohesiveness and
    • social capital, and also
    • political climate and
    • institutions.
  • In other words,
    • just as digital world is shaping the physical world,
    • physical world shapes our digital world as well.
• author: Prateek Raj
  • assistant professor in strategy, Indian Institute of Management, Bangalore

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

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!

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

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

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/