👓 The five ways we read online (and what publishers can do to encourage the “good” ones) | Nieman Lab

Read The five ways we read online (and what publishers can do to encourage the “good” ones) by Laura Hazard Owen (Nieman Lab)
New metrics specifically for news articles.
I love that there’s research1 going on in this area and it portends some potentially great things for reading, but the devil’s advocate in me can also see a lot of adtech people salivating over the potential dark patterns lurking in such research. I can almost guarantee that Facebook is salivating over this, though to be honest, they’ve really pioneered the field haven’t they, just in a much smaller area of use. Of course I’m also curious if they did or are planning any research in how people read content on social media?

I wonder what it would look/feel like to take each of these modalities and apply them individually for long periods of time to everything one read? Or to use them in rotation regardless of the subject being read? Or other permutations? I suppose in general I like to read how I like to read, but now I’m going to be more conscious of what and how I’m doing it all.

References

1.
Grinberg N. Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text. WWW ’18 Proceedings of the 2018 World Wide Web Conference. https://dl.acm.org/citation.cfm?id=3186180. Published April 23, 2018. Accessed April 27, 2018.

Published by

Chris Aldrich

I'm a biomedical and electrical engineer with interests in information theory, complexity, evolution, genetics, signal processing, IndieWeb, theoretical mathematics, and big history. I'm also a talent manager-producer-publisher in the entertainment industry with expertise in representation, distribution, finance, production, content delivery, and new media.

One thought on “👓 The five ways we read online (and what publishers can do to encourage the “good” ones) | Nieman Lab”

  1. Bookmarked Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text by Nir Grinberg (dl.acm.org)

    Prior work established the benefits of server-recorded user engagement measures (e.g. clickthrough rates) for improving the results of search engines and recommendation systems. Client-side measures of post-click behavior received relatively little attention despite the fact that publishers have now the ability to measure how millions of people interact with their content at a fine resolution using client-side logging. In this study, we examine patterns of user engagement in a large, client-side log dataset of over 7.7 million page views (including both mobile and non-mobile devices) of 66,821 news articles from seven popular news publishers. For each page view we use three summary statistics: dwell time, the furthest position the user reached on the page, and the amount of interaction with the page through any form of input (touch, mouse move, etc.). We show that simple transformations on these summary statistics reveal six prototypical modes of reading that range from scanning to extensive reading and persist across sites. Furthermore, we develop a novel measure of information gain in text to capture the development of ideas within the body of articles and investigate how information gain relates to the engagement with articles. Finally, we show that our new measure of information gain is particularly useful for predicting reading of news articles before publication, and that the measure captures unique information not available otherwise.

    Bookmarked to read as result of reading The five ways we read online (and what publishers can do to encourage the “good” ones).
    [.pdf] copy available on author’s site.

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