Story-Focused Reading in Online News and Its Potential for User Engagement

被引:20
|
作者
Lehmann, Janette [1 ]
Castillo, Carlos [2 ]
Lalmas, Mounia [3 ]
Baeza-Yates, Ricardo [4 ]
机构
[1] Free Univ Berlin, Konigin Luise Str 24-26, D-14195 Berlin, Germany
[2] Sapienza Univ Rome, Piazzale Aldo Moro 5, I-00185 Rome, Italy
[3] Yahoo Labs London, 125 Shaftesbury Ave, London WC2H 8AD, England
[4] Yahoo Labs Sunnyvale, 701 1st Ave, Sunnyvale, CA 94089 USA
关键词
D O I
10.1002/asi.23707
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We study the news reading behavior of several hundred thousand users on 65 highly visited news sites. We focus on a specific phenomenon: users reading several articles related to a particular news development, which we call story-focused reading. Our goal is to understand the effect of story-focused reading on user engagement and how news sites can support this phenomenon. We found that most users focus on stories that interest them and that even casual news readers engage in story-focused reading. During story-focused reading, users spend more time reading and a larger number of news sites are involved. In addition, readers employ different strategies to find articles related to a story. We also analyze how news sites promote story-focused reading by looking at how they link their articles to related content published by them, or by other sources. The results show that providing links to related content leads to a higher engagement of the users, and that this is the case even for links to external sites. We also show that the performance of links can be affected by their type, their position, and how many of them are present within an article.
引用
收藏
页码:869 / 883
页数:15
相关论文
共 19 条
  • [1] Understanding and Measuring User Engagement and Attention in Online News Reading
    Lagun, Dmitry
    Lalmas, Mounia
    [J]. PROCEEDINGS OF THE NINTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'16), 2016, : 113 - 122
  • [2] Reading, Commenting and Sharing of Fake News: How Online Bandwagons and Bots Dictate User Engagement
    Molina, Maria D.
    Wang, Jinping
    Sundar, S. Shyam
    Le, Thai
    DiRusso, Carlina
    [J]. COMMUNICATION RESEARCH, 2023, 50 (06) : 667 - 694
  • [3] The effects of micropayments on online news story selection and engagement
    Geidner, Nick
    D'Arcy, Denae
    [J]. NEW MEDIA & SOCIETY, 2015, 17 (04) : 611 - 628
  • [4] User engagement with online news: Conceptualizing interactivity and exploring the relationship between online news videos and user comments
    Ksiazek, Thomas B.
    Peer, Limor
    Lessard, Kevin
    [J]. NEW MEDIA & SOCIETY, 2016, 18 (03) : 502 - 520
  • [5] An empirical evaluation of the User Engagement Scale (UES) in online news environments
    O'Brien, Heather
    Cairns, Paul
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2015, 51 (04) : 413 - 427
  • [6] News reading on smartphones: How do mood, modality interactivity, and news story length influence news engagement?
    Wang, Ruoxu
    Haigh, Michel
    [J]. BEHAVIOUR & INFORMATION TECHNOLOGY, 2024, 43 (16) : 4192 - 4207
  • [7] User Engagement in Online News: Under the Scope of Sentiment, Interest, Affect, and Gaze
    Arapakis, Ioannis
    Lalmas, Mounia
    Barla Cambazoglu, B.
    Marcos, Mari-Carmen
    Jose, Joemon M.
    [J]. JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2014, 65 (10) : 1988 - 2005
  • [8] Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text
    Grinberg, Nir
    [J]. WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018), 2018, : 1745 - 1754
  • [9] Is audience engagement worth the buzz? The value of audience engagement, comment reading, and content for online news brands
    Krebs, Isabelle
    Lischka, Juliane A.
    [J]. JOURNALISM, 2019, 20 (06) : 714 - 732
  • [10] User Story Extraction from Online News for Software Requirements Elicitation: A Conceptual Model
    Raharjana, Indra Kharisma
    Siahaan, Daniel
    Fatichah, Chastine
    [J]. 2019 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE 2019), 2019, : 342 - 347