Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Social Proof

Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.

Self-Evaluation: Self-Enhancement and Self-Verification

Self-Evaluation: Self-Enhancement and Self-Verification

Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...

Conservation of Declining Populations

Conservation of Declining Populations

Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.

Outliers and Influential Points

Outliers and Influential Points

An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...

Censoring Survival Data

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...

Bullying

Bullying

A modern form of aggression is bullying. As you learn in your study of child development, socializing and playing with other children is beneficial for children’s psychological development. However, as you may have experienced as a child, not all play behavior has positive outcomes. Some children are aggressive and want to play roughly. Other children are selfish and do not want to share toys. One form of negative social interactions among children that has become a national concern is...

You might also read

Related Articles

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

Sort by

Same author

Staying with the trouble of networks.

Frontiers in big data·2023

Same author

Adipocytokine plasma level changes in a 24-month dietary and physical activity randomised intervention trial in postmenopausal women.

European journal of nutrition·2022

Same author

Assessing the influence of French vaccine critics during the two first years of the COVID-19 pandemic.

PloS one·2022

Same author

The DAMA25 Study: Feasibility of a Lifestyle Intervention Programme for Cancer Risk Reduction in Young Italian Women with Breast Cancer Family History.

International journal of environmental research and public health·2021

Same author

Mitigating COVID-19 outbreaks in workplaces and schools by hybrid telecommuting.

PLoS computational biology·2021

Same author

The rhythms of the night: increase in online night activity and emotional resilience during the spring 2020 Covid-19 lockdown.

EPJ data science·2021

Search research articles

Related Experiment Video

Updated: Jun 22, 2025

Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos

Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos

Published on: May 29, 2020

Fake views removal and popularity on YouTube.

Maria Castaldo¹, Paolo Frasca², Tommaso Venturini^3,4

¹Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, GIPSA-lab, F-38000, Grenoble, France.

Scientific Reports

|July 4, 2024

Summary

This summary is machine-generated.

YouTube daily corrects billions of fake views in batches, often impacting popular videos later in their lifecycle, potentially influencing content visibility and online discourse.

More Related Videos

Detection and Removal of Nuclease Contamination During Purification of Recombinant Prototype Foamy Virus Integrase

Detection and Removal of Nuclease Contamination During Purification of Recombinant Prototype Foamy Virus Integrase

Published on: December 8, 2017

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

Related Experiment Videos

Last Updated: Jun 22, 2025

Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos

Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos

Published on: May 29, 2020

Detection and Removal of Nuclease Contamination During Purification of Recombinant Prototype Foamy Virus Integrase

Detection and Removal of Nuclease Contamination During Purification of Recombinant Prototype Foamy Virus Integrase

Published on: December 8, 2017

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

Area of Science:

Social Sciences
Computer Science
Media Studies

Background:

YouTube engagement metrics, specifically view counts, are crucial for content visibility and platform algorithms.
The platform actively removes artificial or illegitimate views, termed "fake views," to maintain metric integrity.

Purpose of the Study:

To analyze the patterns and extent of YouTube's view count corrections.
To investigate the timing and correlation between view corrections and video popularity.
To explore the implications of fake views and corrections on content diffusion and online debate.

Main Methods:

Analysis of 1.5 years of data from 1000 French YouTube channels.
Tracking and quantifying view count corrections over time.
Developing experimental techniques to circumvent API limitations for data extraction.

Main Results:

Massive view count corrections affect the majority of channels and over 78% of videos in the corpus.
Corrections occur in daily batches, typically around 5 p.m., not continuously.
Later corrections are significantly correlated with higher video popularity, suggesting a delayed impact on metrics.

Conclusions:

Fake views can artificially inflate perceived popularity, potentially skewing content recommendation and public discourse.
The timing of corrections, particularly late in a video's life, warrants further investigation into its impact on content diffusion.
Greater transparency from YouTube regarding view correction mechanisms is essential for understanding online attention cycles and combating misinformation.