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Big Data Analysis Of Banten Community Information Consumption After The Decline of The Covid 19 Case

Bibliographic Data

ID6088697
AuthorsDarwis Sagita (Sultan Ageng Tirtayasa University), Burhanudin Mujtaba (Sultan Ageng Tirtayasa University), Rahmi Winangsih (Sultan Ageng Tirtayasa University)
Year2023
Volume11
Issue2
Pages137-148
Publication date2023-12-30
Open AccessYes
TypeARTICLE
VenueLONTAR Jurnal Ilmu Komunikasi (JOURNAL)
Journal identifiersISSN: 2442-5109 • E-ISSN: 2599-2104
PublisherUniversitas Serang Raya (PUBLISHER)
DOI10.30656/lontar.v11i2.2090
OpenAlexW4390487403
LanguageEN
References cited2

This research explains the information consumption of Banten people after the decline of the covid 19 case. What information themes are communicated by the community about Banten on social media. This research was conducted with a qualitative approach by discussing the results of data mining searches (data retrieval on social media through applications), while the application used is NodeXL. The following are the results of this study; among the five aspects of information that researchers examined the data (health, education, economy, tourism, and politics), health information was the least communicated (both one-way and two-way) by the community. Meanwhile, politics and tourism are the most communicated aspects of social media. It can be said that the communication behavior of the community about Banten Province on YouTube social media is generally not dominated by two-way or more communication models. Feedback only occurs on certain information themes. The theme of political information and tourism is the most two-way or more. Meanwhile, health information is the least discussed and does not generate much feedback. It can be concluded that health information is no longer a public concern after the decline in covid 19 cases

Disease · Health care · Health information · Political science · Politics · Public relations · Social media · Social science · Sociology · Tourism · World Wide Web · Computer Science · Information Retrieval and Data Mining · Islamic Finance and Communication · Medicine · SMEs Development and Digital Marketing

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