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Research On The Communication Mode Of Knowledge-based Pay-and-answer Community Based On Voice Interaction

Posted on:2019-07-07Degree:MasterType:Thesis
Country:ChinaCandidate:L WangFull Text:PDF
GTID:2358330542464328Subject:Communication
Abstract/Summary:PDF Full Text Request
2016 marks the beginning of the paid knowledge.Platforms dominated by quality content in the market have successively introduced their pay-for-knowledge products,among which,Zhihu,the Himalayan and iget have witnessed pronounced growth.In knowledge sharing,being through the static knowledge acquirement 1.0 and dynamic knowledge update 2.0,we mankind have entered into an era 3.0 where enjoys both paid Q&A and subscription,bucking the trend of cognitive surplus and consumption upgrading.At this point,paid knowledge is becoming a mainstream while the era of completely free knowledge no longer exists.Individuals are subject to the decentralized many-to-many dissemination in paid-knowledge apps.Meanwhile,knowledge owners are further empowered in this regard.A diversified and detailed content system has formed a practical pattern.As for media,open knowledge platform has created an internal circulated profit model.Apart from changes in product features,significant changes also take place in the dissemination models of paid-knowledge apps,especially the upgrading of dissemination factors such as paid system,social network and audio.This paper analyzes the factors in the dissemination of Zhihu Live and deconstruct the process.Based on Newcomb's A-B-X Model and Maletzke's CMR Model,the dissemination model of Zhihu Live is concluded.With specific examples,this paper analyzes in details from disseminators,content,channels,recipient and effects and generalizes the dissemination regular patterns and features of Zhihu Live.It is indispensable for paid-knowledge apps to upgrade technology and service,especially the enhanced content,social network and technology in the niche market.
Keywords/Search Tags:Paid Knowledge, dissemination model, Zhihu Live
PDF Full Text Request
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