Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil
Television broadcasts around the world employ specific hashtags to facilitate viewer engagement via social media with program hosts. In the context of news broadcasts, individuals' comments mix with the articles shown on television news, mainly in relation to urban situations. These social medi...
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Programa de Pós-Graduação em Ciência da Informação Ibict/UFRJ
2024-08-01
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| Series: | Liinc em Revista |
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| Online Access: | https://revista.ibict.br/liinc/article/view/7033 |
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| author | Alan Marcel Fernandes de Souza |
| author_facet | Alan Marcel Fernandes de Souza |
| author_sort | Alan Marcel Fernandes de Souza |
| collection | DOAJ |
| description | Television broadcasts around the world employ specific hashtags to facilitate viewer
engagement via social media with program hosts. In the context of news broadcasts, individuals'
comments mix with the articles shown on television news, mainly in relation to urban situations. These
social media posts constitute a significant database, as users assume roles similar to those of citizens. The aim of this paper is to scrutinize the posts associated with the hashtags #VcNoJL1 and #VcNoJL2, publishe on the Twitter (X) platform, in the context of the TV news program TV Liberal, broadcast in the State of
Pará (Brazil), using the CRISP-DM methodology and data science techniques. Using a statistical
examination of these publications, a discreet level of engagement was observed among viewers, who are
also users of the aforementioned social media platform. Furthermore, a sentiment assessment of the posts was carried out, revealing that 54% of the comments are negative, 31% are positive and 15% are neutral. The negative comments notably highlight the challenges within municipal public administration, while the positive comments are around commemorative occasions such as Mother's Day and Grandparents' Day. This type of analysis constitutes an important monitoring tool not only for the television program, but also for public administration. |
| format | Article |
| id | doaj-art-887e94b365ba4750969fb311a9cf299a |
| institution | Kabale University |
| issn | 1808-3536 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Programa de Pós-Graduação em Ciência da Informação Ibict/UFRJ |
| record_format | Article |
| series | Liinc em Revista |
| spelling | doaj-art-887e94b365ba4750969fb311a9cf299a2025-02-04T20:06:03ZengPrograma de Pós-Graduação em Ciência da Informação Ibict/UFRJLiinc em Revista1808-35362024-08-01201e7033e703310.18617/liinc.v20i1.70339473Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, BrazilAlan Marcel Fernandes de Souza0https://orcid.org/0000-0002-1656-5714Department of Mathematics, Statistics and Informatics, Universidade Estadual do Pará, Castanhal, PA, Brasil.Television broadcasts around the world employ specific hashtags to facilitate viewer engagement via social media with program hosts. In the context of news broadcasts, individuals' comments mix with the articles shown on television news, mainly in relation to urban situations. These social media posts constitute a significant database, as users assume roles similar to those of citizens. The aim of this paper is to scrutinize the posts associated with the hashtags #VcNoJL1 and #VcNoJL2, publishe on the Twitter (X) platform, in the context of the TV news program TV Liberal, broadcast in the State of Pará (Brazil), using the CRISP-DM methodology and data science techniques. Using a statistical examination of these publications, a discreet level of engagement was observed among viewers, who are also users of the aforementioned social media platform. Furthermore, a sentiment assessment of the posts was carried out, revealing that 54% of the comments are negative, 31% are positive and 15% are neutral. The negative comments notably highlight the challenges within municipal public administration, while the positive comments are around commemorative occasions such as Mother's Day and Grandparents' Day. This type of analysis constitutes an important monitoring tool not only for the television program, but also for public administration.https://revista.ibict.br/liinc/article/view/7033television newshashtagslive interactiondata sciencesentiment analysis |
| spellingShingle | Alan Marcel Fernandes de Souza Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil Liinc em Revista television news hashtags live interaction data science sentiment analysis |
| title | Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil |
| title_full | Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil |
| title_fullStr | Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil |
| title_full_unstemmed | Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil |
| title_short | Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil |
| title_sort | sentiment analysis and audience engagement in thehashtags vcnojl1 and vcnojl2 on twitter x a casestudy of the tv liberal newscast in para brazil |
| topic | television news hashtags live interaction data science sentiment analysis |
| url | https://revista.ibict.br/liinc/article/view/7033 |
| work_keys_str_mv | AT alanmarcelfernandesdesouza sentimentanalysisandaudienceengagementinthehashtagsvcnojl1andvcnojl2ontwitterxacasestudyofthetvliberalnewscastinparabrazil |