Literature DB >> 29235919

Fake News: A Technological Approach to Proving the Origins of Content, Using Blockchains.

Steve Huckle1, Martin White1.   

Abstract

In this article, we introduce a prototype of an innovative technology for proving the origins of captured digital media. In an era of fake news, when someone shows us a video or picture of some event, how can we trust its authenticity? It seems that the public no longer believe that traditional media is a reliable reference of fact, perhaps due, in part, to the onset of many diverse sources of conflicting information, via social media. Indeed, the issue of "fake" reached a crescendo during the 2016 U.S. Presidential Election, when the winner, Donald Trump, claimed that The New York Times was trying to discredit him by pushing disinformation. Current research into overcoming the problem of fake news does not focus on establishing the ownership of media resources used in such stories-the blockchain-based application introduced in this article is technology that is capable of indicating the authenticity of digital media. Put simply, using the trust mechanisms of blockchain technology, the tool can show, beyond doubt, the provenance of any source of digital media, including images used out of context in attempts to mislead. Although the application is an early prototype and its capability to find fake resources is somewhat limited, we outline future improvements that would overcome such limitations. Furthermore, we believe that our application (and its use of blockchain technology and standardized metadata) introduces a novel approach to overcoming falsities in news reporting and the provenance of media resources used therein. However, while our application has the potential to be able to verify the originality of media resources, we believe that technology is only capable of providing a partial solution to fake news. That is because it is incapable of proving the authenticity of a news story as a whole. We believe that takes human skills.

Entities:  

Keywords:  Ethereum; Preservation Metadata; big data; blockchain; cryptography; digital signatures; fake news; hash functions; public-key cryptography

Mesh:

Year:  2017        PMID: 29235919     DOI: 10.1089/big.2017.0071

Source DB:  PubMed          Journal:  Big Data        ISSN: 2167-6461            Impact factor:   2.128


  2 in total

Review 1.  Strengthening public health surveillance through blockchain technology.

Authors:  Sudip Bhattacharya; Amarjeet Singh; Md Mahbub Hossain
Journal:  AIMS Public Health       Date:  2019-09-02

2.  IAPE Exploration under the International Communication Environment Based on Big Data Analysis of Social Network.

Authors:  Dan Xie; Dongdong Lin
Journal:  J Environ Public Health       Date:  2022-09-29
  2 in total

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