Twitter Sentiment Toward Autism During Autism Awareness Month

Jeffrey P. Kaleta; Jingjing Yin; Sushmita Khan

Twitter Sentiment Toward Autism During Autism Awareness Month

Jeffrey P. Kaleta, Jingjing Yin, Sushmita Khan

Biostatistics, Epidemiology, & Environmental Health Sciences

Georgia Southern University

Research output: Contribution to conference › Presentation

Abstract

Autism spectrum disorders (ASD) has increased over the past few years and several supporters of autism have launched campaigns over social media to bring attention to their cause. Twitter has been a popular and effective social media platform for getting health-related messages across the globe. In this study we look at data collected from Twitter to evaluate the messages people communicate during Autism Awareness campaigns (2015 Autism Awareness Month). We apply several descriptive analytical techniques to decipher people’s conversations during autism campaigns and analyze sentiment (opinions) related to their messages. We conclude our study with a discussion about our findings, what areas of work is still needed, and what some of the practical implications can be for public health workers with similar needs.

Original language	American English
State	Published - Mar 23 2018
Event	Southern Association for Information Systems Annual Conference (SAIS) - Duration: Mar 23 2018 → …

Conference

Conference	Southern Association for Information Systems Annual Conference (SAIS)
Period	03/23/18 → …

Keywords

Autism
Twitter

DC Disciplines

Biostatistics
Public Health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://aisel.aisnet.org/sais2018/2/

Cite this

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title = "Twitter Sentiment Toward Autism During Autism Awareness Month",

abstract = " Autism spectrum disorders (ASD) has increased over the past few years and several supporters of autism have launched campaigns over social media to bring attention to their cause. Twitter has been a popular and effective social media platform for getting health-related messages across the globe. In this study we look at data collected from Twitter to evaluate the messages people communicate during Autism Awareness campaigns (2015 Autism Awareness Month). We apply several descriptive analytical techniques to decipher people{\textquoteright}s conversations during autism campaigns and analyze sentiment (opinions) related to their messages. We conclude our study with a discussion about our findings, what areas of work is still needed, and what some of the practical implications can be for public health workers with similar needs.",

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note = "Southern Association for Information Systems Annual Conference (SAIS) ; Conference date: 23-03-2018",

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T1 - Twitter Sentiment Toward Autism During Autism Awareness Month

AU - Kaleta, Jeffrey P.

AU - Yin, Jingjing

AU - Khan, Sushmita

PY - 2018/3/23

Y1 - 2018/3/23

N2 - Autism spectrum disorders (ASD) has increased over the past few years and several supporters of autism have launched campaigns over social media to bring attention to their cause. Twitter has been a popular and effective social media platform for getting health-related messages across the globe. In this study we look at data collected from Twitter to evaluate the messages people communicate during Autism Awareness campaigns (2015 Autism Awareness Month). We apply several descriptive analytical techniques to decipher people’s conversations during autism campaigns and analyze sentiment (opinions) related to their messages. We conclude our study with a discussion about our findings, what areas of work is still needed, and what some of the practical implications can be for public health workers with similar needs.

AB - Autism spectrum disorders (ASD) has increased over the past few years and several supporters of autism have launched campaigns over social media to bring attention to their cause. Twitter has been a popular and effective social media platform for getting health-related messages across the globe. In this study we look at data collected from Twitter to evaluate the messages people communicate during Autism Awareness campaigns (2015 Autism Awareness Month). We apply several descriptive analytical techniques to decipher people’s conversations during autism campaigns and analyze sentiment (opinions) related to their messages. We conclude our study with a discussion about our findings, what areas of work is still needed, and what some of the practical implications can be for public health workers with similar needs.

KW - Autism

KW - Twitter

UR - https://digitalcommons.georgiasouthern.edu/biostat-facpres/116

UR - https://aisel.aisnet.org/sais2018/2/

M3 - Presentation

T2 - Southern Association for Information Systems Annual Conference (SAIS)

Y2 - 23 March 2018

ER -

Twitter Sentiment Toward Autism During Autism Awareness Month

Abstract

Conference

Keywords

DC Disciplines

UN SDGs

Access to Document

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Cite this