Fighting Biased Online News: Lessons from Online Participation and Crowdsourcing

Autor:	Vojtěch Merunka, Boris Schegolev, Himesha Wijekoon
Rok vydání:	2019
Předmět:	business.industry Online participation media_common.quotation_subject Internet privacy Business InformationSystems_MISCELLANEOUS Internet users Crowdsourcing Democracy media_common
Zdroj:	Communications in Computer and Information Science ISBN: 9783030375447 e-Democracy
DOI:	10.1007/978-3-030-37545-4_14
Popis:	Online news has become a major source of news especially for younger generation. However, it is evident that certain media outlets report biased news. This bias can cause harmful effects on society thus democracy. There have been various attempts to identify and mitigate bias in news. At the same time various successful crowdsourcing platforms have emerged as many internet users are now active participants than passive readers. Some of these techniques have been already used related to online news sector. In this article we investigate how online participation techniques have been used in crowdsourcing and how lessons from crowdsourcing platforms can be used further to fight against biased news. New means to mitigate biased online news are proposed and discussed in the end.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::83c7faa024f5507cee1e014e4b8f2348 https://doi.org/10.1007/978-3-030-37545-4_14 Zobrazit plný text záznamu