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Negative vaccine voices in Swedish social media

Hammarlin, Mia-Marie LU orcid and Dimitrios, Kokkinakis (2022) In ExLing Conferences p.81-84
Abstract
Vaccinations are one of the most significant interventions to public health, but vaccine hesitancy creates concerns for a portion of the population in many countries, including Sweden. Since discussions on vaccine hesitancy are often taken on social networking sites, data from Swedish social media are used to study and quantify the sentiment among the discussants on the vaccination-or-not topic during phases of the COVID-19 pandemic. Out of all the posts analyzed a majority showed a stronger negative sentiment, prevailing throughout the whole of the examined period, with some spikes or jumps due to the occurrence of certain vaccine-related events distinguishable in the results. Sentiment analysis can be a valuable tool to track public... (More)
Vaccinations are one of the most significant interventions to public health, but vaccine hesitancy creates concerns for a portion of the population in many countries, including Sweden. Since discussions on vaccine hesitancy are often taken on social networking sites, data from Swedish social media are used to study and quantify the sentiment among the discussants on the vaccination-or-not topic during phases of the COVID-19 pandemic. Out of all the posts analyzed a majority showed a stronger negative sentiment, prevailing throughout the whole of the examined period, with some spikes or jumps due to the occurrence of certain vaccine-related events distinguishable in the results. Sentiment analysis can be a valuable tool to track public opinions regarding the use, efficacy, safety, and importance of vaccination. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Covid-19, vaccine hesitancy, sentiment analysis, exploratory study
host publication
ExLing 2022 : Proceedings of 13th International Conference of Experimental Linguistics - Proceedings of 13th International Conference of Experimental Linguistics
series title
ExLing Conferences
pages
4 pages
publisher
International Society of Experimental Linguistics
ISSN
2529-1092
project
Rumour Mining: Vaccination engagement on the internet
language
English
LU publication?
yes
id
78107d7c-63f5-4695-aab6-727ed518ab92
alternative location
https://exlingsociety.com/wp-content/uploads/2022/09/ExLing-2022-Paris-proceedings-1.pdf#page=89
date added to LUP
2022-12-19 15:48:37
date last changed
2023-04-14 03:00:11
@inproceedings{78107d7c-63f5-4695-aab6-727ed518ab92,
  abstract     = {{Vaccinations are one of the most significant interventions to public health, but vaccine hesitancy creates concerns for a portion of the population in many countries, including Sweden. Since discussions on vaccine hesitancy are often taken on social networking sites, data from Swedish social media are used to study and quantify the sentiment among the discussants on the vaccination-or-not topic during phases of the COVID-19 pandemic. Out of all the posts analyzed a majority showed a stronger negative sentiment, prevailing throughout the whole of the examined period, with some spikes or jumps due to the occurrence of certain vaccine-related events distinguishable in the results. Sentiment analysis can be a valuable tool to track public opinions regarding the use, efficacy, safety, and importance of vaccination.}},
  author       = {{Hammarlin, Mia-Marie and Dimitrios, Kokkinakis}},
  booktitle    = {{ExLing 2022 : Proceedings of 13th International Conference of Experimental Linguistics}},
  issn         = {{2529-1092}},
  keywords     = {{Covid-19; vaccine hesitancy; sentiment analysis; exploratory study}},
  language     = {{eng}},
  month        = {{10}},
  pages        = {{81--84}},
  publisher    = {{International Society of Experimental Linguistics}},
  series       = {{ExLing Conferences}},
  title        = {{Negative vaccine voices in Swedish social media}},
  url          = {{https://lup.lub.lu.se/search/files/131864083/ExLing_2022_Paris_proceedings_1.pdf}},
  year         = {{2022}},
}