Since the onset of the COVID-19 pandemic, researchers and scientists alike have been studying the causes, transmission, and origin of the coronavirus. Due to such rapid dissemination of COVID-19 information and the unusually high rates of article retraction, concerns regarding the accuracy of data and results have been raised. 

Dissemination of COVID-19 Information through Academic Research and Publications

A published piece of scientific work can be rescinded, or retracted, when its data is called into question due to fabrication, falsification, or severe flaws in research design. This formal process alerts the scientific community to serious problems with the original study. A retraction can be initiated by the study's lead researcher, their research collaborators, their employing institution, or the editorial board of the publishing journal.

Retraction of Scientific Publications

Publications, journal articles, and research papers allow researchers and scientists to share their findings. 

University of Michigan - Ann Arbor

Knowledge being exchanged between people (or groups of). Includes the exchange of expertise, skills, and information.

Knowledge Sharing

Knowledge (expertise, skills, and information) being exchanged on the platform Wikipedia, an open collaborative online encyclopedia 

Knowledge sharing on Wikipedia

Knowledge being exchanged through the use of social media sites and platforms such as Twitter, Instagram, Facebook, Snapchat, and more

Knowledge sharing through social media

Knowledge being shared on Stack Exchange, a self-moderated site consisting of a network of questions and answers on various topics. 

Knowledge sharing on Stack Exchange

Fake news has become more prevalent and can be defined as “false, often sensational, information disseminated under the guise of news reporting” 

Fake News

Greifeneder, R., Jaffe, M., Newman, E., & Schwarz, N. (2021). The psychology of fake news: Accepting, sharing, and correcting misinformation (p. 252).

The Psychology of Fake News; Accepting, Sharing, and Correcting Misinformation


- All decisions on 1Cademy are made based on the majority of votes.
- No one has any special privilege over others.
- The community progressively and collaboratively decides which concepts are important to the community by upvoting the helpful nodes and downvoting/eliminating the unhelpful and/or potentially misleading ones.
- 1Cademy locks highly upvoted nodes from changes unless the proposal gets approved by at least half of the number of users that upvoted the node.

Democratizing Knowledge Sharing on 1Cademy

Twitter

Practices are identified based on an underlying knowledge problem and supported by social technology
- 1) expertise locating
- 2) expert locating
- 3) reaching out
- 4) socializing
- 5) horizon broadening

Five knowledge practices

Twitter is commonly used to share knowledge and take part in other knowledge practices. Researchers, business people, casual users and more participate in discourse and discussion, taking to the platform to share their ideas, voice their opinions and engage with others. 

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