Evidence map›Paper›PMID 34901396›Full record

ArticleProceedings of the Association for Information Science and Technology. Association for Information Science and Technology2021

"COVID19 is_": The Perpetuation of Coronavirus Conspiracy Theories via Google Autocomplete.

Daniel Houli, Marie L Radford, Vivek K Singh

Abstract read
In one paragraph

Article in Proceedings of the Association for Information Science and Technology. Association for Information Science and Technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Keyphrase Extraction for Technical Language Processing.Journal of research of the National Institute of Standards and Technology · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Daniel HouliRutgers, the State University of New Jersey USA.
Marie L RadfordRutgers, the State University of New Jersey USA.
Vivek K SinghRutgers, the State University of New Jersey USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the impact of the COVID-19 pandemic grew in 2020, uncertainty surrounding its origins and nature led to widespread conspiracy-related theories (CRT). Use of technological platforms enabled the rapid and exponential dissemination of COVID-19 CRT. This study applies social contagion theory to examine how Google Autocomplete (GA) propagates and perpetuates these CRT. An in-house software program, Autocomplete Search Logging Tool (ASLT) captured a snapshot of GA COVID-19 related searches early in the pandemic (from March to May 2020) across 76 randomly-selected countries to gain insight into search behaviors around the world. Analysis identified 15 keywords relating to COVID-19 CRT predictions and demonstrate how searches across different countries received varying degrees of GA predictions. When grouped with similar keywords, two major categories were identified "Man-Made Biological Weapon" (42%, n = 2,111), and "Questioning Reality/Severity of COVID-19" (44%, n = 2,224). This investigation is also among the first to apply social contagion theory to autocomplete applications and can be used in future research to explain and perhaps mitigate the spread of CRT.

Indexed as

conspiracy theorycoronavirusCOVID‐19Google Autocompletesocial contagion

Identifiers

PMID34901396
PMCPMC8646906

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.