Archived

Further research is encouraged into communication strategies during emergencies using social media mining and natural language processing (e.g. topic modelling, sentiment analysis, etc).

Background

BEIS has committed to ending the UK’s contribution to global warming by achieving net zero greenhouse gas emissions by 2050. Our work towards becoming a leader in green technologies and clean energy will drive economic growth, all whilst accelerating global climate action through strong international leadership.

Next steps

Get in touch with ari.comment@go-science.gov.uk

Source

This question was published as part of the set of ARIs in this document:

Beis areas research interest interim update 2020

Related UKRI funded projects

  • TRAC: COVID - TRust And Communication: a Coronavirus Online VIsual Dashboard

    The COVID-19 crisis has required mass communication and public understanding on an unprecedented scale. During this time there has been a proliferation of online discussion, news sharing and emergence of 'information sou...

    Funded by: COVID

    Lead research organisation: Birmingham City University

    Why might this be relevant?

    The project aims to build a large-scale dataset of Twitter posts and web-pages shared in the tweets, using natural language processing methods, to uncover the multi-layered content of shared information and understand the online networks through which (mis)information is shared.

Similar ARIs from other organisations

Adapting to a changing security environment How do people respond to warnings of imminent crisis, and how can we best use related insights and evidence to improve public crisis communications? Cabinet Office, 2019
See details
Adapting to a changing security environment How to use technologies for communicating disaster risks to the population (covering early warning, risk information, stimulating risk reduction behaviour)? Cabinet Office, 2019
See details