2021
DOI: 10.2478/jdis-2022-0003
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Public Reaction to Scientific Research via Twitter Sentiment Prediction

Abstract: Purpose Social media users share their ideas, thoughts, and emotions with other users. However, it is not clear how online users would respond to new research outcomes. This study aims to predict the nature of the emotions expressed by Twitter users toward scientific publications. Additionally, we investigate what features of the research articles help in such prediction. Identifying the sentiments of research articles on social media will help scientists gauge a new societal impact of their … Show more

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Cited by 7 publications
(5 citation statements)
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“…On this point, according to Weller et al ( 2015 ), the proper use of altmetrics can help disseminate new scientific innovations to the public. Researchers have recently employed social media metrics to gauge public reaction to scientific findings (Freeman et al, 2019 , 2020 ; Shahzad & Alhoori, 2022 ; Shahzad et al, 2022 ).…”
Section: Related Workmentioning
confidence: 99%
“…On this point, according to Weller et al ( 2015 ), the proper use of altmetrics can help disseminate new scientific innovations to the public. Researchers have recently employed social media metrics to gauge public reaction to scientific findings (Freeman et al, 2019 , 2020 ; Shahzad & Alhoori, 2022 ; Shahzad et al, 2022 ).…”
Section: Related Workmentioning
confidence: 99%
“…The number of research articles shared on these platforms is estimated to be increasing at a rate of 5-10% per month (Adie and Roe, 2013). In general, these platforms enable researchers to stay current on developments in their fields, as well as share and discuss their research data and findings, as well as solicit early feedback (Shahzad and Alhoori, 2022). Researchers include links to these news stories on their websites as evidence of their work's social impact.…”
Section: Online Impact Of Scholarly Articlesmentioning
confidence: 99%
“…Shahzad et al [ 20 ] aim to forecast the nature of Twitter users' reactions to scientific papers along with looking into what characteristics of research articles aid in such prediction. Scientists will be able to measure a new societal influence of their research articles by analyzing the attitudes of research articles on social media.…”
Section: Literature Surveymentioning
confidence: 99%