An evidence‐based iterative content trust algorithm for the credibility of online news

Abstract

SUMMARYPeople encounter more information than they can possibly use every day. But all information is not necessarily of equal value. In many cases, certain information appears to be better, or more trustworthy, than other information. And the challenge that most people then face is to judge which information is more credible. In this paper we propose a new problem called Corroboration Trust, which studies how to find credible news events by seeking more than one source to verify information on a given topic. We design an evidence-based corroboration trust algorithm called TrustNewsFinder, which utilizes the relationships between news articles and related evidence information (person, location, time and keywords about the news). A news article is trustworthy if it provides many pieces of trustworthy evidence, and a piece of evidence is likely to be true if it is provided by many trustworthy news articles. Our experiments show that TrustNewsFinder successfully finds true events among conflicting information and identifies trustworthy news better than the popular search engines.

Exploring Online News Credibility: The Relative Influence of Traditional and Technological Factors

“…Online search engines such as Google and Yahoo count the number of distinct hyperlinks that point to a given webpage as an indication of how important the webpage is and news items are ranked according to the reliability of the news publishers (Zeng & Wang, 2009). Also hyperlinks enrich users' online journey by adding background information and providing more context to a developing news story (Dimitrova & Neznaski, 2006).…”

Heterogeneous network-based trust analysis

“…In [49], the authors propose Corroboration Trust (i.e. the problem of finding credible news events by seeking more than one source to verify information on a given topic).…”

How do framing strategies influence the user's choice of content on the Web?

“…The users' choice of online news has not been thoroughly investigated in experimental studies. Research focusing on online news mainly involves the development of algorithms to find trustworthy news . There is also relatively little work that applies choice models to Web use behavior.…”