Online Disinformation and the Role of Wikipedia
arXiv:1910.12596
Abstract
The aim of this study is to find key areas of research that can be useful to fight against disinformation on Wikipedia. To address this problem we perform a literature review trying to answer three main questions: (i) What is disinformation? (ii) What are the most popular mechanisms to spread online disinformation? and (iii) Which are the mechanisms that are currently being used to fight against disinformation?. In all these three questions we take first a general approach, considering studies from different areas such as journalism and communications, sociology, philosophy, information and political sciences. And comparing those studies with the current situation on the Wikipedia ecosystem. We conclude that in order to keep Wikipedia as free as possible from disinformation, it is necessary to help patrollers to early detect disinformation and assess the credibility of external sources. More research is needed to develop tools that use state-of-the-art machine learning techniques to detect potentially dangerous content, empowering patrollers to deal with attacks that are becoming more complex and sophisticated.
References in corpus (4)
- Exposing DeepFake Videos By Detecting Face Warping Artifacts
- Do Social Bots Dream of Electric Sheep? A Categorisation of Social Media Bot Accounts
- "Everything I Disagree With is #FakeNews": Correlating Political Polarization and Spread of Misinformation
- Strategies and Influence of Social Bots in a 2017 German state election - A case study on Twitter
Cited by in corpus (5)
- Longitudinal Assessment of Reference Quality on Wikipedia
- Wikipedia in Wartime: Experiences of Wikipedians Maintaining Articles About the Russia-Ukraine War
- A preliminary approach to knowledge integrity risk assessment in Wikipedia projects
- WikiCheck: An end-to-end open source Automatic Fact-Checking API based on Wikipedia
- WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia