Look for possible bias in the information presented and claims or assertions that seem unreasonable.Note any conflict of interest that may have influenced the assertions by the writer."The core of our approach entailed the design of a custom survey and the use of a crowdsourcing mechanism to generate a collective understanding and validation of the information collected," the team writes.
Research published in the International Journal of Web Engineering and Technology, looks to using a crowd-sourcing approach to the validation of medication information on one particular niche of the internet – the well-known microblogging platform known as Twitter.
Scott Duberstein, Daniel Adomako Asamoah, Derek Doran, and Shu Schiller of Wright State University in Dayton, Ohio, point out that social media, of which Twitter can be said to be one of the popular, can be a very useful place to gather information.
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The Internet is a vast public electronic network of information.However, it remains challenging for the lay person to know whether the information they glean from such a system is valid or whether, in the parlance of the modern political vernacular, it is "fake news".This might not matter so much when the information pertains to celebrity gossip, but it is important in the political realm, and very often a matter of life and death when the subject is medicine.It might even be possible for the algorithms employed to differentiate between valid statements and ironic ones that might, with earlier approaches, be confused. DOI: 10.1504/IJWET.2019.100344 This document is subject to copyright.Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission.They suggest that the same approach might be extended to other medical topics, and perhaps beyond and to other platforms that carry a large body of unvalidated information that might be tested and validated or otherwise.