Profile of New_Public, founded by Eli Pariser of Filter Bubble and Upworthy fame, and Deepti Doshi "from from Meta, where she’d spent much of her tenure leading the company’s Community Partnerships... supporting, Facebook group admins... as well as UT Austin professor Talia Stroud, who remains on the board, and their drive to stimulate "…
echo chambers and filter bubbles are slightly different... echo chambers could be a result of filtering or ... other processes, but filter bubbles have to be the result of algorithmic filtering...people main source of news roughly equal ... online and television... TV is more likely... people over 45. People under 45 are more likely to get their n…
report reviews and summarises the recent available literature connecting polarisation and the news media...key findings...: little evidence that increased exposure to news featuring like-minded or opposing views leads to the widespread polarisation of attitudes... some studies found both can strengthen attitudes of minority who already hold stron…
Technology has altered the foundations of news and media, and as trust in media continues to decline, artificial intelligence, machine learning, and algorithms have come to play a critical role not only as threats to the integrity and quality of media, but also as a source of potential solutions. The core threats to information quality associated …
“We wanted democracy... but got mobocracy.”... Bots generated one out of every five political messages posted on Twitter in America’s presidential campaign last year... “we need to reform our attention economy.”... groups which had mostly been excluded from the mainstream media... developed the dark arts they would use to further their agendas..…
small experiments aimed at customizing that story selection to the individual reader, based on a variety of signals... where readers are located... the last time a reader visits the site. If,... publishes a particularly enterprising story on a Monday, but a reader doesn’t visit ... after that story has left the homepage ... personalize the user’s…
our analysis shows that social media use is clearly associated with incidental exposure to additional sources of news ... with more politically diverse news diets... The algorithms, of course, continually change... More sources does not necessarily mean more diverse... the majority in most countries and in most groups do not use sources from a…
In the United States... the chances that two people visiting the same news site have different political views is about 45 percent... the internet is far closer to perfect desegregation than perfect segregation... you are more likely to come across someone with opposing views online than you are offline... a surprising amount of the information …
uses machine learning to give readers a stream of 25 stories they might be interested in based on their preferences, but 'always including an element of surprise'... personalisation will be based on the meaning of an article... users' existing history that shows roughly what type of stories they are interested in
AllSides.com offers the news you’d expect on any US politics site, except that its lead stories include a choice of articles: one from the left, centre and right... to push the comfortably certain in new directions... When you click on one story you’re offered a range of alternatives... a patented ‘crowd-driven’ political bias rating. Visitors ..…
A work in progress from an upcoming eponymous post. Another experiment with the enewsletter format: some initial thoughts on this seemingly intractable problem, with some of the source materials I’m studying.
Search engines, social media and news aggregators are great at surfacing information close to our interests, but they are limited by the set of topics and people we choose to follow. Even if we read multiple news sources every day, what we discover is defined by the languages we are able to read, and the topics that our sources decide to cover. Ul…
... manually curate 10 stories from other publishers, which will run as a daily edition. Three different articles, often with opposing viewpoints, will run on each story, representing the left, neutral and right-wing political perspectives on the same story... For example, in Wednesday’s edition, it ran a Guardian story entitled “Terrorism publ…
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