User engagement in online news: Under the scope of sentiment, interest, affect, and gaze. Arapakis, I., Lalmas, M., Cambazoglu, B. B., Marcos, M., & Jose, J. M. Journal of the Association for Information Science and Technology, 65(10):1988--2005, 2014. 00014Paper abstract bibtex 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 US, we demonstrate that news articles exhibit considerable variation in terms of the sentimentality and polarity of their content, depending on factors like news provider and genre. Moreover, through a laboratory study, we observe the effect of sentimentality and polarity of news and comments on a set of subjective and objective measures of engagement. In particular, we show that attention, affect, and gaze differ across news of varying interestingness. As part of our study, we also explore methods that exploit the sentiments expressed in user comments to reorder the lists of comments displayed in news pages. Our results indicate that user engagement can be predicted if we account for the sentimentality and polarity of the content, as well as other factors that drive attention and inspire human curiosity
@article{arapakis_user_2014,
title = {User engagement in online news: {Under} the scope of sentiment, interest, affect, and gaze},
volume = {65},
shorttitle = {User engagement in online news},
url = {http://onlinelibrary.wiley.com/doi/10.1002/asi.23096/full},
abstract = {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 US, we demonstrate that news articles exhibit considerable
variation in terms of the sentimentality and polarity of their content,
depending on factors like news provider and genre. Moreover, through
a laboratory study, we observe the effect of sentimentality and polarity
of news and comments on a set of subjective and objective measures of
engagement. In particular, we show that attention, affect, and gaze differ
across news of varying interestingness. As part of our study, we also
explore methods that exploit the sentiments expressed in user comments
to reorder the lists of comments displayed in news pages. Our results
indicate that user engagement can be predicted if we account for the
sentimentality and polarity of the content, as well as other factors that
drive attention and inspire human curiosity},
number = {10},
urldate = {2016-02-21TZ},
journal = {Journal of the Association for Information Science and Technology},
author = {Arapakis, Ioannis and Lalmas, Mounia and Cambazoglu, B. Barla and Marcos, Mari-Carmen and Jose, Joemon M.},
year = {2014},
note = {00014},
keywords = {HCI, engagement},
pages = {1988--2005}
}
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A common challenge is to identify which\naspects of online interaction influence user engagement the most. In this\narticle, through an analysis of a news article collection obtained from\nYahoo! News US, we demonstrate that news articles exhibit considerable\nvariation in terms of the sentimentality and polarity of their content,\ndepending on factors like news provider and genre. Moreover, through\na laboratory study, we observe the effect of sentimentality and polarity\nof news and comments on a set of subjective and objective measures of\nengagement. In particular, we show that attention, affect, and gaze differ\nacross news of varying interestingness. As part of our study, we also\nexplore methods that exploit the sentiments expressed in user comments\nto reorder the lists of comments displayed in news pages. Our results\nindicate that user engagement can be predicted if we account for the\nsentimentality and polarity of the content, as well as other factors that\ndrive attention and inspire human curiosity},\n\tnumber = {10},\n\turldate = {2016-02-21TZ},\n\tjournal = {Journal of the Association for Information Science and Technology},\n\tauthor = {Arapakis, Ioannis and Lalmas, Mounia and Cambazoglu, B. Barla and Marcos, Mari-Carmen and Jose, Joemon M.},\n\tyear = {2014},\n\tnote = {00014},\n\tkeywords = {HCI, engagement},\n\tpages = {1988--2005}\n}\n\n","author_short":["Arapakis, I.","Lalmas, M.","Cambazoglu, B. B.","Marcos, M.","Jose, J. 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