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

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

163
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:
163
Group Polarization01:01

Group Polarization

34.4K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
34.4K
Causality in Epidemiology01:21

Causality in Epidemiology

593
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
593
Social Exchange Theory02:06

Social Exchange Theory

34.6K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
34.6K
Framing Effects03:26

Framing Effects

7.4K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.4K
Social Anxiety Disorder01:28

Social Anxiety Disorder

69
Social anxiety disorder, also known as social phobia, is characterized by an intense fear of social situations where one might face humiliation, rejection, embarrassment, or negative evaluation. This disorder leads individuals to avoid activities like casual conversations, public speaking, or seemingly simple tasks such as eating, signing documents, or swimming, in public settings. Its impact extends beyond discomfort, often significantly interfering with daily functioning and quality of life.
69

You might also read

Related Articles

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

Sort by
Same author

When Baidu meets the clinic: exploring how cyberchondria shapes patient satisfaction through trust in doctors and patient commitment.

Health education research·2026
Same author

Co-developing SingaporeWALK mobile health app: Enhancing physical health and mental well-being among current and future older adults through inclusive technology.

Digital health·2025
Same author

Design, Implementation, and Evaluation of a Community-Based Phygital Telemonitoring Program for Older Adults: Multisite Retrospective Pilot Study in Singapore.

JMIR formative research·2025
Same author

Urban Environment and Outdoor Walking Mobility Among Older Adults With and Without Cognitive Impairment in Singapore: Formative Study.

JMIR formative research·2025
Same author

Design and Evaluation of a Digital Health App (SingaporeWALK) for Active Aging: Pre-Post Intervention Study.

JMIR formative research·2025
Same author

Promoting Public Engagement in Palliative and End-of-Life Care Discussions on Chinese Social Media: Model Development and Analysis.

Journal of medical Internet research·2025

Related Experiment Video

Updated: Aug 11, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.2K

Examining COVID-19 Tweet Diffusion Using an Integrated Social Amplification of Risk and Issue-Attention Cycle

Edmund W J Lee1, Han Zheng2, Dion H-L Goh1

  • 1Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore.

Health Communication
|February 6, 2023
PubMed
Summary

COVID-19 risk on social media was amplified by specific topics, negative emotions, and shifting global hotspots. Early amplification involved political figures and speculation, highlighting initial distrust and misplaced optimism.

More Related Videos

Author Spotlight: Advancing Pathogen Diagnostics with Standardized LAMP
05:34

Author Spotlight: Advancing Pathogen Diagnostics with Standardized LAMP

Published on: September 8, 2023

849
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.3K

Related Experiment Videos

Last Updated: Aug 11, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.2K
Author Spotlight: Advancing Pathogen Diagnostics with Standardized LAMP
05:34

Author Spotlight: Advancing Pathogen Diagnostics with Standardized LAMP

Published on: September 8, 2023

849
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.3K

Area of Science:

  • Social Sciences
  • Communication Studies
  • Public Health

Background:

  • The COVID-19 pandemic generated a massive volume of social media discourse.
  • Understanding risk communication on social media is crucial for public health.
  • Existing frameworks like social amplification of risk (SARF) and issue-attention cycle offer lenses to analyze this discourse.

Purpose of the Study:

  • To examine the amplification of COVID-19 risk-related tweets.
  • To identify how topics, sentiment (temperament), and location (topography) influence tweet amplification over time (temporality).
  • To explore the dynamics of COVID-19 discourse within the issue-attention cycle.

Main Methods:

  • Computational analysis of 1,641,273 COVID-19 tweets.
  • Manual content analysis of 6,000 tweets for topic, sentiment, and location.
  • Negative binomial regression to assess factors associated with retweet and favorite counts (risk amplification).

Main Results:

  • Eleven dominant COVID-19 topics were identified, including health/economic impacts, lockdowns, cases, and preventive measures.
  • Early amplification (pre-problem stage) was driven by political topics (President Trump), origin speculation, and non-government initiatives, indicating politicization and distrust.
  • Negative emotions consistently amplified tweets, while positive emotions amplified during the pandemic's peak, suggesting misplaced optimism. Amplification geographically mirrored COVID-19 hotspots.

Conclusions:

  • Social media amplifies COVID-19 risk through specific topics, emotional content, and geographic spread, reflecting the issue-attention cycle.
  • The early politicization of COVID-19 on social media eroded trust in government responses.
  • Understanding these amplification mechanisms is vital for effective public health communication and risk management strategies.