Sentiment analysis of Twitter posts related to a COVID-19 Test and Trace Program in NYC

Author:

Tsai Krystle A1,Chau Michelle M1,Wang Juncheng1,Thorpe Lorna E.1,Massar Rachel E.1,Conderino Sarah1,Berry Carolyn A.1,Islam Nadia S.1,Bershteyn Anna1,Bragg Marie A2ORCID

Affiliation:

1. NYU Grossman School of Medicine: New York University School of Medicine

2. New York University School of Medicine

Abstract

Abstract As part of a program evaluation of the New York City Test & Trace program (T2)–one of the largest such programs in the US–we conducted a study to assess how implementing organizations (NYC Health & Hospitals, other government agencies, CBOs) communicated information about the T2 program on Twitter. Study aims were: 1) quantify reach and engagement of T2 Twitter posts by NYC organizations and celebrities; 2) examine social media users’ perceptions of T2 through sentiment analysis of social media users’ T2-related posts; and 3) examine the engagement associated with Chelsea Clinton’s tweet about T2. In our sample of 1,987 T2-related posts, celebrities and CBOs generated more user engagement (0.26% and 0.07%, respectively) compared to government agencies (e.g., Mayor’s Office, 0.0019%). Sentiment analysis revealed that positive tweets (46.5%) had higher user engagement than negative tweets (number of likes: R2 = .095, p < .01), reinforcing the value of engaging with celebrities and CBOs.

Publisher

Research Square Platform LLC

Reference4 articles.

1. COVID-19 Outbreak - New York City, February 29-June 1, 2020;Thompson CN;MMWR Morb Mortal Wkly Rep,2020

2. Paul M, Conderino S, Massar R, Chau M, Bendik S, Larson R, Hong C, Fair A, Bragg M, Bershteyn A, Berry C, Islam N, Thorpe L. Evaluation of New York City’s Test & Trace Program for the SARS CoV-2 Pandemic: Lessons Learned to Advance Reach, Equity, and Timeliness. A Report from the NYU Grossman School of Medicine Department of Population Health,. Published online 2023. https://med.nyu.edu/departments-institutes/population-health/divisions-sections-centers/epidemiology/sites/default/files/cimph-test-and-trace-report.pdf.

3. VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19;Pano T;Big Data and Cognitive Computing,2020

4. A Comprehensive Study on Lexicon Based Approaches for Sentiment Analysis;Bonta JNNK;Asian J Comput Sci Technol

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