👓 How a Genealogy Website Led to the Alleged Golden State Killer | The Atlantic

Read How a Genealogy Website Led to the Alleged Golden State Killer (The Atlantic)
Powerful tools are now available to anyone who wants to look for a DNA match, which has troubling privacy implications.

I find this mechanics relating to privacy in this case to be extremely similar to Facebook’s leak of data via Cambridge Analytica. Something crucial to your personal identity can be accidentally leaked out or be made discoverable to others by the actions of your closest family members.

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🔖 Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text by Nir Grinberg

Bookmarked Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text by Nir GrinbergNir 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.

👓 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.
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👓 Real People Are Turning Their Accounts Into Bots On Instagram — And Cashing In | BuzzFeed

Read Real People Are Turning Their Accounts Into Bots On Instagram — And Cashing In by Alex Kantrowitz (BuzzFeed)
Verified accounts turning themselves into bots, millions of fake likes and comments, a dirty world of engagement trading inside Telegram groups. Welcome to the secret underbelly of Instagram.

Eventually there will be so much noise on these platforms that they will cease to have any meaning for the business purposes that people are intending to use them for.

Worse, they’re giving away their login credentials to outsiders to do this.

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❤️ akaDashan tweet about swinging cradle for your phone

Liked a tweet by 大山 Dashan 大山 Dashan (Twitter)

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