Kakao Deep Reading Index: Consumption Time as a Key Factor in News Curation Algorithm

• Dongkwon Lee,
• Daewon Kim,

Vol. 13, No. 10, October 30, 2019
10.3837/tiis.2019.10.001, Download Paper (Free):

• News curation
• Recommendation algorithm
• Consumption time
• Deep reading index
• Kakao

Abstract

This paper introduces the structure and effects of Kakao’s news curation algorithm, which is created based on the Deep Reading Index (DRI). The DRI examines the extent of deep reading through content reading time, that is, the duration of reader engagement with an article. Current news curation algorithms focus on reader choice, with the click-through rate or pageviews as the gauge for consumption frequency. DRI is a product of the challenge of introducing and adopting a new factor called 'consumption time' instead of 'frequency of consumption', which is the basis of existing curation algorithms. The analysis of DRI-based services proves that the new algorithm can act as a curation system that is more effective in providing in-depth and quality news reports.

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