Welcome to the Agri-food, Climate Change and

Rural Misinformation Research Platform

misr_logo (1).png

What do we stand for ?

Online misinformation and disinformation are existential threats to science and society, contributing to science denial and polarization. The recent COVID-19 and political instability drew significant efforts in academia and policy to combat misinformation and disinformation in health and politics. Historically agri-food and rural community has remained no exception to this threat, but it has not received due attention in the scholarly, policy and practitioner sphere.

This link can't be embedded.

Curated Resources
Myths Busted
Curated Resources
Myths Busted


Explore Our Curated Resources

News and Updates

assorted-color smoke
Heading 2
blue and orange smoke
Heading 3

Explore Our Webinars

Explore our webinars . Join us for valuable insights and discussions on combating misinformation.

Misinformation Tracking

Want to contribute curated resources towards Tracking Misinformation ? Click on the Contribute button!

Recent Additions

Curated Literature Database

Want to contribute to the Curated Literature Resources ? Click on the Contribute button!
The Misinformation research.png

Recent Additions

Exploring The Influence Of Citizen Journalism Content On The Malaysian Political Landscape
The article explores the idea of "Citizen journalism" within Malaysia, specifically its effect on the political landscape, the author refers to the use of the different social media platforms, or the internet for political reasons as "digital democracy' or "e - democracy" since it cannot be controlled by government gatekeepers. However, the author also refers to the lack of checks-and-balances and the issue of tunnel vision of political ideas/concepts, the accuracy of information. and its credibility.
Disinformation: Analysis and Identification
The paper aims to answer the two following questions: 1-"Can we automatically and accurately classify a news article as containing disinformation?" 2- "What characteristics of disinformation differentiate it from other types of benign information?" The paper concludes that fact checking is needed for credibility checks and that style based classifiers are not enough. It also finds that natural language inference automating that is used to automate/ semi-automate fact checking processes, such as web app and FactFinder, are a development in the right direction.
Misinformation, Disinformation, And Malinformation: Clarifying The Definitions And Examples In Disinfodemic Times
The goal of the paper is to provide an understanding of the three terms: misinformation, disinformation, and malinformation based on 16 parameters linked to their intentionality. The paper concludes that definition is complex basically due to the difficulty of reaching a consensus on the semantic definition of the terms, from one field to another.

Recommended Pages


Footer (1).png
Website Owner: Ataharul Chowdhury. Copyright 2023.

Want to print your doc?
This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
) instead.