Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms

Sicheng Zhou; Yunpeng Zhao; Rubina Rizvi; Jiang Bian; Ann F. Haynos; Rui Zhang

doi:10.1109/ICHI.2019.8904863

Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms

Sicheng Zhou, Yunpeng Zhao, Rubina Rizvi, Jiang Bian, Ann F. Haynos, Rui Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Scopus citations

Abstract

Eating disorders (EDs) are serious mental illnesses associated with physical and psychiatric problems, and premature death. Examining social media communication about ED symptoms may provide insight into how to prevent and treat these disorders. This study is to explore topics on Twitter related to EDs. We applied the Correlation Explanation (CorEx) topic model on 18,288 ED-related tweets and identified 20 topics, which were further grouped into 8 categories. The top two topic categories are body image and ED consequences. We manually evaluated the relevance of tweets to their assigned topics and average accuracy is 77.86%. Our findings are consistent with another study using content analysis, and we identified additional topics, such as ED consequences, pornography, and treatment and education from these tweets.

Original language	English (US)
Title of host publication	2019 IEEE International Conference on Healthcare Informatics, ICHI 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538691380
DOIs	https://doi.org/10.1109/ICHI.2019.8904863
State	Published - Jun 2019
Event	7th IEEE International Conference on Healthcare Informatics, ICHI 2019 - Xi'an, China Duration: Jun 10 2019 → Jun 13 2019

Publication series

Name	2019 IEEE International Conference on Healthcare Informatics, ICHI 2019

Conference

Conference	7th IEEE International Conference on Healthcare Informatics, ICHI 2019
Country/Territory	China
City	Xi'an
Period	6/10/19 → 6/13/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Body image
Eating disorder
Social media
Topic model
Twitter

Access

10.1109/ICHI.2019.8904863

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003291

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Zhou, S., Zhao, Y., Rizvi, R., Bian, J., Haynos, A. F., & Zhang, R. (2019). Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms. In 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019 Article 8904863 (2019 IEEE International Conference on Healthcare Informatics, ICHI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2019.8904863

Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms. / Zhou, Sicheng; Zhao, Yunpeng; Rizvi, Rubina et al.
2019 IEEE International Conference on Healthcare Informatics, ICHI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8904863 (2019 IEEE International Conference on Healthcare Informatics, ICHI 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhou, S, Zhao, Y, Rizvi, R, Bian, J, Haynos, AF & Zhang, R 2019, Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms. in 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019., 8904863, 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Healthcare Informatics, ICHI 2019, Xi'an, China, 6/10/19. https://doi.org/10.1109/ICHI.2019.8904863

Zhou S, Zhao Y, Rizvi R, Bian J, Haynos AF , Zhang R. Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms. In 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8904863. (2019 IEEE International Conference on Healthcare Informatics, ICHI 2019). doi: 10.1109/ICHI.2019.8904863

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abstract = "Eating disorders (EDs) are serious mental illnesses associated with physical and psychiatric problems, and premature death. Examining social media communication about ED symptoms may provide insight into how to prevent and treat these disorders. This study is to explore topics on Twitter related to EDs. We applied the Correlation Explanation (CorEx) topic model on 18,288 ED-related tweets and identified 20 topics, which were further grouped into 8 categories. The top two topic categories are body image and ED consequences. We manually evaluated the relevance of tweets to their assigned topics and average accuracy is 77.86%. Our findings are consistent with another study using content analysis, and we identified additional topics, such as ED consequences, pornography, and treatment and education from these tweets.",

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author = "Sicheng Zhou and Yunpeng Zhao and Rubina Rizvi and Jiang Bian and Haynos, {Ann F.} and Rui Zhang",

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AB - Eating disorders (EDs) are serious mental illnesses associated with physical and psychiatric problems, and premature death. Examining social media communication about ED symptoms may provide insight into how to prevent and treat these disorders. This study is to explore topics on Twitter related to EDs. We applied the Correlation Explanation (CorEx) topic model on 18,288 ED-related tweets and identified 20 topics, which were further grouped into 8 categories. The top two topic categories are body image and ED consequences. We manually evaluated the relevance of tweets to their assigned topics and average accuracy is 77.86%. Our findings are consistent with another study using content analysis, and we identified additional topics, such as ED consequences, pornography, and treatment and education from these tweets.

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Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms

Abstract

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Bibliographical note

Keywords

Access

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