Earticle

초록

영어

With many consumers being exposed to news via social media platforms, news organizations are challenged to attract visitors and generate revenue during visits to their websites. They therefore need detailed information on how to write articles and headlines to increase visitors’ engagement with the content to drive advertising revenues. For those news organizations whose business model depends mainly on advertisements, rather than subscriptions, it is particularly crucial to understand what makes the website attractive to their visitors, what drives users to stay on the website, and what factors affect a user’s exit decision. The current research examines individual news consumers’ choices to find patterns of increase or decrease in user engagement relative to a variety of topics, as well as to the mood or tone of the content. Using clickstream data from a major news organization, the authors develop a user-level dynamic model of clickstream behavior that takes into account the content of both headlines and stories that visitors read. The authors find that readers appear to exhibit state dependence in the tone of the articles that they read. They also show how the topics expressed in headlines can affect the amount of content readers consume when visiting the news organization to a much larger degree than the topics expressed in the content of the article. Online publishers can make use of such findings to present visitors with content that is likely to maintain and/or increase their engagement and consequently drive advertising revenue.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Related Literature
Ⅲ. Model Development
Ⅳ. Empirical Analysis
4.1. Data Description
4.2. Model Selection
4.3. Model Results
4.4. Simulation Study to Understand the Impact of Topics on the Length of Session
Ⅴ. Discussion
5.1. Limitations and Future Research

 Posterior Estimation Details

키워드

저자

• Inyoung Chae [ Assistant Professor, Marketing at Sungkyunkwan University, Korea ] Corresponding Author
• Da Young Kim [ Doctoral Candidate, Emory University’s Goizueta Business School, USA ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Asia Pacific Journal of Information Systems

• 간기

  계간

• pISSN

  2288-5404

• eISSN

  2288-6818

• 수록기간

  1990~2026

• 등재여부

  KCI 등재,SCOPUS

• 십진분류

  KDC 325 DDC 658