Exploring user engagement in online news interactions
نویسندگان
چکیده
منابع مشابه
The Geography of Online News Engagement
Abstract. Geographical processes might well impact online engagement in big countries like the USA. Upon a random sample of 200K news articles and corresponding 41M comments posted on the Yahoo! News in that country, we show that nearby individuals tend to comment and engage with similar news articles more than distant individuals do. Interestingly, at state level, topics one reads about are as...
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We study the news reading behaviour 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 storyfocused reading on user engagement and how news sites can support this phenomenon. We found that most us...
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Online content providers, like news portals and social media platforms, constantly seek new ways to attract large shares of online attention by keeping their users engaged. A common challenge is to identify which aspects of online interaction influence user engagement the most. In this article, through an analysis of a news article collection obtained from Yahoo! News, we demonstrate that news ...
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Questionnaires are commonly used to measure attitudes toward systems and perceptions of search experiences. Whilst the face validity of such measures has been established through repeated use in information retrieval research, their reliability and wider validity are not typically examined; this threatens internal validity. The evaluation of self-report questionnaires is important not only for ...
متن کاملPredicting User Views in Online News
We analyze user viewing behavior on an online news site. We collect data from 64,000 news articles, and use text features to predict frequency of user views. We compare predictiveness of the headline and “teaser” (viewed before clicking) and the body (viewed after clicking). Both are predictive of clicking behavior, with the full article text being most predictive.
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ژورنال
عنوان ژورنال: Proceedings of the American Society for Information Science and Technology
سال: 2011
ISSN: 0044-7870
DOI: 10.1002/meet.2011.14504801088