Public views on gene editing and its uses

Gaskell, George; Bárd, Imre; Allansdottir, Agnes; Cunha, Rui Vieira da; Eduard, Peter; Hampel, Juergen; Hildt, Elisabeth; Hofmaier, Christian; Kronberger, Nicole; Laursen, Sheena; Meijknecht, Anna; Nordal, Salvör; Quintanilha, Alexandre; Revuelta, Gemma; Saladié, Núria; Sándor, Judit; Borlido-Santos, Júlio; Seyringer, Simone; Singh, Ilina; Somsen, Han; Toonders, Winnie; Torgersen, Helge; Torre, Vincent; Varju, Márton; Zwart, Hub

doi:10.1038/nbt.3958

Cited by 100 publications

(98 citation statements)

References 7 publications

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“…This aspect is further confirmed when considering the sentiment of themes such as treatment or disease. These observations are in line with several surveys in which participants demonstrated a strong support of CRISPR for the use in medical treatment, but were critical regarding modifications of human germline cells [28,29,30,31,32]. Themes such as "mutation" were discussed intensely for a few months in 2017, but then declined in activity.…”

Section: Discussionsupporting

confidence: 79%

“…Additionally, the studies underline certain demographic correlations, e.g. that women, people belonging to ethnic minorities, and religious communities are more critical about the potential applications of CRISPR [30,28]. Somewhat unsurprisingly, the surveys also show that public views are not always aligned with expert opinions [32].…”

Section: Introductionmentioning

confidence: 99%

“…Several surveys have been conducted with the goal of evaluating the public's perception of CRISPR and genetic engineering in general [28,29,30,31,32]. Such surveys have found that participants are largely in favor of the technology used for somatic purposes (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Combining Crowdsourcing and Deep Learning to Assess Public Opinion on CRISPR-Cas9

Müller¹,

Schneider²,

Salathé³

et al. 2019

Preprint

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The discovery of the CRISPR-Cas9-based gene editing method has opened unprecedented new potential for biological and medical engineering, sparking a growing public debate on both the potential and dangers of CRISPR applications. Given the speed of technology development, and the almost instantaneous global spread of news, its important to follow evolving debates without much delay and in sufficient detail, as certain events may have a major long-term impact on public opinion and later influence policy decisions. Social media networks such as Twitter have shown to be major drivers of news dissemination and public discourse. They provide a vast amount of semi-structured data in almost real-time and give direct access to the content of the conversations. Such data can now be mined and analyzed quickly because of recent developments in machine learning and natural language processing. Here, we used BERT, an attention-based transformer model, in combination with statistical methods to analyse the entirety of all tweets ever published on CRISPR since the publication of the first gene editing application in 2013. We show that the mean sentiment of tweets was initially very positive, but began to decrease over time, and that this decline was driven by rare peaks of strong negative sentiments. Due to the high temporal resolution of the data, we were able to associate these peaks with specific events, and to observe how trending topics changed over time. Overall, this type of analysis can provide valuable and complementary insights into ongoing public debates, extending the traditional empirical bioethics toolset.

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Section: Discussionsupporting

confidence: 79%

Section: Introductionmentioning

confidence: 99%

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Combining Crowdsourcing and Deep Learning to Assess Public Opinion on CRISPR-Cas9

Müller¹,

Schneider²,

Salathé³

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…valoración: La revista Nature Biotechnology ha publicado en el mes de noviembre 2017 (Gaskell et al, 2017) una investigación que se hizo en el marco de NERRI, sobre la opinión pública respecto a la edición genética (aplicada para neuromejora o para fines terapéuticos). Desde el proyecto destacan cómo el hecho de que una revista con el impacto de esta dedique un espacio a la reflexión sobre la opinión pública y la participación de la ciudadanía, al mismo nivel que otros artículos de contenido más experimental sobre edición genética (en un número monográfico sobre Humans 2.0) significa que el mensaje de la RRI está calando en la sociedad científica y que, al menos en neuromejora y edición genética, es difícil pensar en un futuro en el que no se tenga en cuenta dichas opiniones.…”

Section: • Mercado De Proyectos Socialesunclassified

“…Por su parte, desde el proyecto NERRI, primer proyecto explícitamente sobre RRI en el que participó una entidad española (la UPF, en este caso), destacan el hecho de que revistas científicas recojan ya junto a otros artículos de investigación, reflexiones sobre las mismas a partir del concepto de RRI. Es el caso de la revista Nature Biotechnology que en noviembre de 2017 publica "Public views on gene editing and its uses" (Gaskell et al, 2017), artículo que recoge la opinión pública respecto a la edición Alineación del proceso y los resultados con las expectativas e intereses de la sociedad…”

Section: Figura 48 Contribución Del Diálogo Y La Participación a Los unclassified

El diálogo entre ciencia y sociedad en España. Experiencias y propuestas par avanzar hacia la Investigación y la Innovación Responsables desde la comunicación

Marzá¹,

Beltrán²,

Sanahuja³

et al. 2018

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Who? What? How? Why? If You Don’t Ask You’ll Never Know …

Dabrock

2018

Between Moral Hazard and Legal Uncertainty

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Public views on gene editing and its uses

Cited by 100 publications

References 7 publications

Combining Crowdsourcing and Deep Learning to Assess Public Opinion on CRISPR-Cas9

Combining Crowdsourcing and Deep Learning to Assess Public Opinion on CRISPR-Cas9

El diálogo entre ciencia y sociedad en España. Experiencias y propuestas par avanzar hacia la Investigación y la Innovación Responsables desde la comunicación

Who? What? How? Why? If You Don’t Ask You’ll Never Know …

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