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West Ashley Library
9 a.m. - 7 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 8 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. - 6 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 8 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 8 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 8 p.m.
Phone: (843) 766-2546
Folly Beach Library
Closed
Phone: (843) 588-2001
Edisto Island Library
2 p.m. - 6 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 8 p.m.
Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 7 p.m.
Phone: (843) 722-7550
Baxter-Patrick James Island
9 a.m. - 8 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 8 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 8 p.m.
Phone: (843) 805-6892
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
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Localizing COVID-19 Misinformation: A Case Study of Tracking Twitter Pandemic Narratives in Pennsylvania Using Computational Network Science.
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- Author(s): Alieva, Iuliia; Robertson, Dawn; Carley, Kathleen M
- Source:
Journal of Health Communication; 2023Suppl1, Vol. 28, p76-85, 10p, 2 Diagrams, 6 Charts, 4 Graphs- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Subject Terms:
- Abstract: The recent COVID-19 outbreak has highlighted the importance of effective communication strategies to control the spread of the virus and debunk misinformation. By using accurate narratives, both online and offline, we can motivate communities to follow preventive measures and shape attitudes toward them. However, the abundance of misinformation stories can lead to vaccine hesitancy, obstructing the timely implementation of preventive measures, such as vaccination. Therefore, it is crucial to create appropriate and community-centered solutions based on regional data analysis to address mis/disinformation narratives and implement effective countermeasures specific to the particular geographic area. In this case study, we have attempted to create a research pipeline to analyze local narratives on social media, particularly Twitter, to identify misinformation spread locally, using the state of Pennsylvania as an example. Our proposed methodology pipeline identifies main communication trends and misinformation stories for the major cities and counties in southwestern PA, aiming to assist local health officials and public health specialists in instantly addressing pandemic communication issues, including misinformation narratives. Additionally, we investigated anti-vax actors' strategies in promoting harmful narratives. Our pipeline includes data collection, Twitter influencer analysis, Louvain clustering, BEND maneuver analysis, bot identification, and vaccine stance detection. Public health organizations and community-centered entities can implement this data-driven approach to health communication to inform their pandemic strategies. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Journal of Health Communication is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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