Related Experiment Video
Updated: Nov 4, 2025
04:17
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
Published on: May 10, 2024
1.1K
Machine Learning to Identify Fake News for COVID-19
Marianna Isaakidou1, Emmanouil Zoulias2, Marianna Diomidous1
1Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
Studies in Health Technology and Informatics
|May 27, 2021
Summary
International organizations are concerned about fake news. This study introduces an Artificial Intelligence approach, the Decision Trees algorithm, to identify COVID-19 misinformation and disinformation.
Area of Science:
- Computer Science
- Information Science
Background:
- Fake news, encompassing misinformation and disinformation, is a significant global concern.
- UNESCO has defined misinformation and disinformation as key aspects of fake news.
- A European Commission survey revealed that 40% of citizens encounter fake news daily, with 85% recognizing it as a problem.
Purpose of the Study:
- To introduce an Artificial Intelligence (AI) approach for identifying fake news.
- To specifically apply the Decision Trees algorithm to detect fake news related to COVID-19.
Main Methods:
- Utilizing the Decision Trees algorithm, a machine learning technique.
- Applying the algorithm to a dataset focused on COVID-19 information.
Main Results:
- The study demonstrates the potential of AI, specifically Decision Trees, in tackling fake news.
- The approach offers a method for distinguishing authentic information from misinformation/disinformation.
Conclusions:
- Artificial Intelligence presents a viable solution for combating the spread of fake news.
- The Decision Trees algorithm can be effectively employed to identify fake news within the context of public health crises like COVID-19.
Related Concept Videos
01:18Steps in Outbreak Investigation
283
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
283
01:29Issues And Trends In Healthcare Delivery System
5.9K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.9K
01:05Single Nucleotide Polymorphisms-SNPs
17.2K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
17.2K