Visual cultures of CRISPR: intermedial figuration in science communication – ERRATUM

The figure of the human subject fluctuates across our social-media analysis, largely in relation to the proposed applications of CRISPR.In 2018, the figure only comprised approximately 1.4 per cent of the Instagram posts as human applications were still largely theoretical.In 2019, this number jumped to approximately 18 per cent, with approximately 62.5 per cent of these comprising embryos and babies -likely in response to the He scandal -and approximately 31.3 per cent of the posts comprising images of Victoria Gray, the first patient to undergo a CRISPR clinical trial to treat sickle-cell.In 2020, representations of the human subject decreased to approximately 2.5 per cent as the figure of the scientist rose to prominence.In 2021, this number rose again to approximately 14.2 per cent of the posts, with approximately 53 per cent of these featuring children and approximately 70.6 per cent featuring patients.During this time, there was a significant overlap between the figure of the patient and the figure of the child as CRISPR was beginning to be used to treat somatic cell genetic disease in children, offering a hopeful alternative to the polarizing figure of the designer baby.This trend continued in 2022 when the figure of the human subject comprised approximately 23.5 per cent of posts with 78.3 per cent featuring children and approximately 65.2 per cent featuring patients.

Authors

Publication Details

Journal
The British Journal for the History of Science
Published
2025-12-01
DOI
https://doi.org/10.1017/s0007087425101805
Primary Topic
Science Education and Perceptions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Visual cultures of CRISPR: intermedial figuration in science communication – ERRATUM

Joshua Kim, Avey Nelson, Kate O'Riordan
The British Journal for the History of Science
Science Education and Perceptions
article

Visual cultures of CRISPR: intermedial figuration in science communication – ERRATUM

Joshua Kim, Avey Nelson, Kate O'Riordan
article en

Abstract

The figure of the human subject fluctuates across our social-media analysis, largely in relation to the proposed applications of CRISPR.In 2018, the figure only comprised approximately 1.4 per cent of the Instagram posts as human applications were still largely theoretical.In 2019, this number jumped to approximately 18 per cent, with approximately 62.5 per cent of these comprising embryos and babies -likely in response to the He scandal -and approximately 31.3 per cent of the posts comprising images of Victoria Gray, the first patient to undergo a CRISPR clinical trial to treat sickle-cell.In 2020, representations of the human subject decreased to approximately 2.5 per cent as the figure of the scientist rose to prominence.In 2021, this number rose again to approximately 14.2 per cent of the posts, with approximately 53 per cent of these featuring children and approximately 70.6 per cent featuring patients.During this time, there was a significant overlap between the figure of the patient and the figure of the child as CRISPR was beginning to be used to treat somatic cell genetic disease in children, offering a hopeful alternative to the polarizing figure of the designer baby.This trend continued in 2022 when the figure of the human subject comprised approximately 23.5 per cent of posts with 78.3 per cent featuring children and approximately 65.2 per cent featuring patients.

The British Journal for the History of ScienceVol. 58(4)
Openalex Percentile: Top 28%
Science Education and Perceptions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.