A response quality model for online health communities

Srikanth Venkatesan, Wencui Han, Raj Sharman

Research output: Contribution to conferencePaperpeer-review

Abstract

It has been reported that about 113 million Americans has looked for health information on the internet. Patient safety can therefore be very easily compromised if the advice/information that people receive is incorrect. Particularly in case of a chronic and debilitating disease like Parkinson's disease, patients are very vulnerable to false information. Spread of misinformation can be a serious deterrent to information system use. However, the literature has been weak in linking the prevalence of misinformation on online social networks to the factors contributing to misinformation. This study seeks to reduce this gap by exploring the factors impacting the extent of misinformation in online social networking forum. Our findings show that the quality of a response is affected by clarity of the thread question, cumulative information quality and the users' potential for making useful contributions. The results from this study provide practical suggestions to reduce misinformation on social networks.

Original languageEnglish (US)
StatePublished - Jan 1 2014
Externally publishedYes
Event35th International Conference on Information Systems: Building a Better World Through Information Systems, ICIS 2014 - Auckland, New Zealand
Duration: Dec 14 2014Dec 17 2014

Other

Other35th International Conference on Information Systems: Building a Better World Through Information Systems, ICIS 2014
CountryNew Zealand
CityAuckland
Period12/14/1412/17/14

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications

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