Paper Info
Title
A Structured Response to Misinformation: Defining and Annotating Credibility Indicators in News Articles.
Abstract
The proliferation of misinformation in online news and its amplification by platforms are a growing concern, leading to numerous efforts to improve the detection of and response to misinformation. Given the variety of approaches, collective agreement on the indicators that signify credible content could allow for greater collaboration and data-sharing across initiatives. In this paper, we present an initial set of indicators for article credibility defined by a diverse coalition of experts. These indicators originate from both within an article's text as well as from external sources or article metadata. As a proof-of-concept, we present a dataset of 40 articles of varying credibility annotated with our indicators by 6 trained annotators using specialized platforms. We discuss future steps including expanding annotation, broadening the set of indicators, and considering their use by platforms and the public, towards the development of interoperable standards for content credibility.
Year
DOI
Venue
2018
10.1145/3184558.3188731
WWW '18: The Web Conference 2018 Lyon France April, 2018
DocType
ISBN
Citations 
Conference
978-1-4503-5640-4
0
PageRank 
References 
Authors
0.34
0
14
Name
Order
Citations
PageRank
Amy Xian Zhang114518.47
Aditya Ranganathan200.34
Sarah Emlen Metz300.34
Scott Appling400.34
Connie Moon Sehat500.34
Norman Gilmore600.34
Nick B. Adams700.34
Emmanuel Vincent82963186.26
Jennifer S. Lee9133.30
Martin Robbins1001.01
Ed Bice1100.34
Sandro Hawke12122.23
David R. Karger13193672233.64
An Xiao Mina1400.34