The following research article (preprint) was recently shared on arXiv.
Title
The Junk News Aggregator: Examining Junk News Posted on Facebook, Starting with the 2018 US Midterm Elections
Authors
Dimitra (Mimie) Liotsiou
Oxford Internet Institute
Bence Kollanyi
Oxford Internet Institute
Philip N. Howard
Oxford Internet Institute
Source
via arXiv
January 24, 2019
Abstract
In recent years, the phenomenon of online misinformation and junk news circulating on social media has come to constitute an important and widespread problem affecting public life online across the globe, particularly around important political events such as elections. At the same time, there have been calls for more transparency around misinformation on social media platforms, as many of the most popular social media platforms function as “walled gardens,” where it is impossible for researchers and the public to readily examine the scale and nature of misinformation activity as it is unfolding on the platforms. In order to help address this,this paper, we present the Junk News Aggregator, an interactive web tool made publicly available, which allows the public to examine, in near real-time, all of the public content posted to Facebook by important junk news sources in the US. It allows the public to gain access to and examine the latest articles posted on Facebook(the most popular social media platform in the US and one where content is not readily accessible at scale from the open Web), as well as organise them by time, news publisher, and keywords of interest, and sort them based on all eight engagement metrics available on Facebook. Therefore, the Aggregator allows the public to gain insights on the volume,content, key themes, and types and volumes of engagement received by content posted by junk news publishers, in near real time, hence opening up and offering transparency in these activities, at scale across the top most popular junk news publishers and in near real time. In this way, the Aggregator can help increase transparency around the nature, volume, and engagement with junk news on social media, and serve as a media literacy tool for the public.
Direct to Full Text (Preprint)
10 pages; PDF.
Resources
Direct to Junk News Aggregatot App
- Instructions
- Direct to Visual Junk News Aggregator
- Direct to Top-10 Junk News Aggregator
- Methodology
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