Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Classification of Signals01:30

Classification of Signals

790
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
790
Force Classification01:22

Force Classification

1.4K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.4K
Aggregates Classification01:29

Aggregates Classification

370
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
370
Classification of Systems-II01:31

Classification of Systems-II

224
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
224
Classification of Systems-I01:26

Classification of Systems-I

288
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
288
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

145
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
145

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impact of co-occurrent assortative mating and vertical cultural transmission on measures of genetic associations.

Theoretical population biology·2026
Same author

The cell cycle variant in multiciliated cells incorporates 2 centriole biogenesis cycles.

bioRxiv : the preprint server for biology·2026
Same author

[Retractions in biomedical research (2000-present): current status].

Medecine sciences : M/S·2025
Same author

Exact calculation of the expected SFS in structured populations.

Theoretical population biology·2025
Same author

Cyclin switch tailors a cell cycle variant to orchestrate multiciliogenesis.

Cell reports·2024
Same author

Limited impact of vector control on the population genetic structure of Glossina fuscipes fuscipes from the sleeping sickness focus of Maro, Chad.

Parasite (Paris, France)·2024

Related Experiment Video

Updated: Sep 1, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.0K

Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning.

Abderrazek Azri1, Cécile Favre1, Nouria Harbi1

  • 1Université de Lyon, Lyon 2, UR ERIC, 5 avenue Pierre Mendès France, 69676 Bron Cedex, France.

Information Systems Frontiers : a Journal of Research and Innovation
|August 15, 2022
PubMed
Summary

This study introduces MONITOR, a multimodal framework using advanced image features and ensemble machine learning to combat social media rumors. It significantly improves rumor detection accuracy compared to existing methods.

Keywords:
Ensemble learningImage featuresMachine learningRumor verificationSocial networks

More Related Videos

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.2K

Related Experiment Videos

Last Updated: Sep 1, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.0K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.2K

Area of Science:

  • Computer Science
  • Social Media Analysis
  • Artificial Intelligence

Background:

  • Rumors on social media spread rapidly, causing significant harm.
  • Manual verification of social media messages is time-intensive.
  • Existing methods often neglect visual content, particularly images, in rumor detection.

Purpose of the Study:

  • To develop an advanced framework for assessing social media message veracity.
  • To incorporate both textual and visual (image) features for more robust rumor detection.
  • To evaluate the effectiveness of ensemble machine learning for rumor detection.

Main Methods:

  • Proposed advanced image features inspired by image quality assessment.
  • Introduced the Multimodal fusiON framework to assess message veracIty in social neTwORks (MONITOR).
  • Employed five metalearning models to demonstrate the efficacy of ensemble learning algorithms.

Main Results:

  • MONITOR framework effectively utilizes multimodal features (textual and visual).
  • Ensemble learning models significantly enhanced rumor detection performance.
  • Experiments on real-world datasets showed MONITOR outperforming state-of-the-art baselines.

Conclusions:

  • Multimodal analysis, including image features, is crucial for accurate social media rumor detection.
  • Ensemble machine learning approaches offer substantial improvements in rumor detection.
  • The MONITOR framework provides a promising solution for combating misinformation online.