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Covid19NCT04918849

WhatsApp in India During the COVID-19 Pandemic

An observational study of Covid19, run by Yale-NUS College at 1 site in Singapore.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial summary

Digital misinformation has been flagged as a major risk of the 21st century, with an estimated cost of $78 billion to the global economy each year. Given this scope, we propose to characterize how misinformation is spread via messenger platforms (e.g. WhatsApp). Specifically, we seek to: 1. Read more about this study

Who is it for?
Ages 21 years and olderHealthy volunteers can take part
Conditions the study is for
Covid19
How many people
1,000 participants
Where
1 siteSingapore
Study dates
21 May 2021to 31 Dec 2021
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 21 years and older
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: A community sample of the 1000 people from the Indian population

Who may be able to join

  • Lived in India for more than 2 years,
  • Currently Living in India
  • Owns a WhatsApp account

Who cannot join

  • Not currently living in India
  • Below the ages of 21
  • Has not lived in India for more than 2 years
  • does not own a WhatsApp account
  • Does not speak English or Hindi

Trial locations and contacts

1 site in 1 country.

Jean Liu, PhD contact

66013694

jeanliu@yale-nus.edu.sg

Singapore1 site, 1 recruiting
  • Yale-NUS College

    Singapore, 138527

    Jean Liu, PhD, 66013964, jeanliu@yale-nus.edu.sg

    Recruiting

Other trials in Singapore

About this study

Official title: Characterising the Spread of COVID-19 Misinformation Through WhatsApp in India

Digital misinformation has been flagged as a major risk of the 21st century, with an estimated cost of $78 billion to the global economy each year. Given this scope, we propose to characterize how misinformation is spread via messenger platforms (e.g. WhatsApp).

Specifically, we seek to:

Read more
  1. Identify metrics of potential misinformation (Aim 1). This is based on the hypothesis that although message contents are highly private, proxy markers can be used to identify potential misinformation.
  2. Understand the base-rate by which misinformation is shared via messaging applications (Aim 2). This is founded on the hypothesis that misinformation is endemic on messaging platforms, and thus needs to be documented.
  3. Identify "super spreaders" responsible for sending and receiving a large volume of misinformation (Aim 3). Here, we hypothesise that a small group of super spreaders are responsible for the bulk of misinformation-sharing on messaging applications.

The thrust of this work aligns with both government priorities and the grant's thematic areas, providing actionable findings that are timely amidst a worldwide surge of misinformation.

Conditions
Covid19
Keywords
WhatsApp, Misinformation, Rumours, India, Experience Sampling
Medical subject headings
COVID-19, Communication

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

Study groups in NCT04918849
Study groupRoleWhat they receive
Community SampleWe plan to recruit a community sample of 1000 from the Indian Population.

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. WhatsApp Usage

    Participants were asked a series of questions daily related to their WhatsApp usage behaviors - in particular, their message-forwarding, personal chat and group chat behaviors.

    Measured: 1 week, starting from date after baseline survey completion

  2. Changes in fear with regards the COVID-19 situation across 1 week

    1 item each day on fear specifically of the COVID-19 situation (measured on a 4 point scale: min = 1, max = 4; higher scores indicating greater fear about the outbreak).

    Measured: 1 week, starting from date after baseline survey completion

  3. Changes in amount of thinking about the COVID-19 situation across 1 week

    1 item each day on how much they thought about the outbreak that day (measured on a 5 point scale: min = 1, max = 5; higher scores indicating more thinking about the outbreak).

    Measured: 1 week, starting from date after baseline survey completion

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted9 Jun 2021
  2. Study start21 May 2021
  3. Primary completion31 Dec 2021 (estimated)
  4. Study completion31 Dec 2021 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Cross-sectional
Enrolment
1,000 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT04918849
Sponsor's protocol ID
2020-CERC-001C
Status last verified
Jun 2021
First submitted
8 Jun 2021
Last updated
9 Jun 2021
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No: Due to stipulations by the institutional review board, data can not be shared

Questions about this trial

What is this clinical trial studying?

An observational study of Covid19, run by Yale-NUS College at 1 site in Singapore.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 9 Jun 2021. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Singapore. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Contact Jean Liu, PhD (66013694, jeanliu@yale-nus.edu.sg), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

WhatsApp Usage (time frame: 1 week, starting from date after baseline survey completion). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Jun 2021; AzTrials last refreshed its copy on 7 Nov 2026.

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