Uma Análise da Polaridade Expressa nas Manchetes de Notícias Brasileiras
Resumo
Nos últimos anos, com o crescimento da internet como meio de comunicação, um grande número de pessoas mudou a maneira de consumir notícias, substituindo os tradicionais jornais e revistas impressos por suas versões virtuais online e/ou web blogs. Sites de notícias têm que criar estratégias eficazes para chamar a atenção das pessoas e atrair seus cliques. Considerando isso, neste trabalho investigamos as possíveis estratégias utilizadas por jornais de notícias online na concepção de suas manchetes. Especificamente, analisamos o conteúdo de 59.510 notícias produzidas por 8 importantes e diferentes jornais brasileiros em um período de aproximadamente 3 meses do ano de 2015. A fim de descobrir as estratégias que poderiam ser usadas para atrair cliques, foram extraídas características do texto das notícias relacionadas com a polaridade expressa nas manchetes. Apresentamos ainda uma metodologia para avaliar a força e o teor da polaridade contida nas manchetes ao longo do tempo. Nossos resultados revelam várias observações interessantes sobre a polaridade expressa em notícias e, além disso, identificamos fortes evidências de que a polaridade das manchetes é impactada pela ocorrência de eventos específicos.
Palavras-chave:
Análise de Polaridade, Notícias Brasileiras, Manchetes
Referências
Araújo, M., Diniz, J. P., Bastos, L., Soares, E., Júnior, M., Ferreira, M., Ribeiro, F., and Benevenuto, F. (2016). ifeel 2.0: A multilingual benchmarking system for sentence-level sentiment analysis. In Proceedings of the International AAAI Conference on Web-Blogs and Social Media, Cologne, Germany.
Araújo, , M., Gonçalves, P., Benevenuto, F., and Cha, M. (2014). ifeel: A system that compares and combines sentiment analysis methods. In WWW (Companion Volume). InternationalWorldWideWeb Conference (WWW’14).
Araújo, , M., Reis, J., Pereira, A., and Benevenuto, F. (2016). An evaluation of machine translation for multilingual sentence-level sentiment analysis. In Proceedings of the ACM Symposium on Applied Computing (SAC’16). ACM.
Bandari, R., Asur, S., and Huberman, B. A. (2012). The pulse of news in social media: Forecasting popularity. In ICWSM, pages 26–33.
dos Santos, A. G. L., Becker, K., and Moreira, V. (2014). Um estudo de caso de mineração de emoções em textos multilíngues. In Proceedings of the Brazilian Workshop on Social Network Analysis and Mining (BraSNAM’14).
Ecker, U. K., Lewandowsky, S., Chang, E. P., and Pillai, R. (2014). The effects of subtle misinformation in news headlines. Journal of experimental psychology: applied, 20(4):323.
Esiyok, C., Kille, B., Jain, B.-J., Hopfgartner, F., and Albayrak, S. (2014). Users’ reading habits in online news portals. In Proceedings of the 5th Information Interaction in Context Symposium, pages 263–266. ACM.
Evans, H. (1974). News headlines. Holt, Rinehart and Winston.
Gonçalves, P., Araújo, M., Benevenuto, F., and Cha, M. (2013). Comparing and combining sentiment analysis methods. In 1st ACM Conference on Online Social Networks (COSN’13), pages 27–38.
Konnikova, M. (2016). How headlines change the way we think. http://www.newyorker.com/science/maria-konnikova/headlines-change-way-think?mbid=social_twitter. Acessado em Março, 2016.
M. Ryan, R., H. Bernstein, J., and Warren Brown, K. (2010). Weekends, work, and well-being: Psychological need satisfactions and day of the week effects on mood, vitality, and physical symptoms. In Journal of Social and Clinical Psychology, volume 29, pages 95–122.
Mitchelstein, E. and Boczkowski, P. J. (2009). Between tradition and change: A review of recent research on online news production. Journalism, 10(5):562–586.
Neves, L., Perez, K., Speisman, C., and Westerfield, C. (2013). Headlines sentiment project. https://headlines-and-data.herokuapp.com/. Acessado em Março, 2016.
Nguyen, A., Legg, A., and Sweeny, K. (2011). Do you want the good news or bad news first? news order influences recipients’ mood, perceptions, and behaviors. UCR Undergraduate Research Journal, 5:31–36.
Reis, J., Benevenuto, F., Vaz de Melo, P., Prates, R., Kwak, H., and An, J. (2015a). Breaking the news: First impressions matter on online news. Proceedings of the 9th International AAAI Conference on Web-Blogs and Social Media.
Reis, J., Gonçalves, P., Miranda, L., Prates, R., and Benevenuto, F. (2014a). A percepção dos usuários sobre a utilização de análise de sentimentos como apoio a seleção de notícias. In Proceedings of the XIII Brazilian Symposium on Human Factors in Computing Systems. Sociedade Brasileira de Computação.
Reis, J., Gonçalves, P., Vaz de Melo, P. O., Prates, R., and Benevenuto, F. (2014b). Magnet news: You choose the polarity of what you read. Proceedings of the International Conference on Web and Social Media (ICWSM).
Reis, J., Oliveira, P., Araújo, M., Pereira, A., and Benevenuto, F. (2015b). Uma abordagem multilíngue para análise de sentimentos. In Proceedings of the Brazilian Workshop on Social Network Analysis and Mining (BraSNAM’15).
Tatar, A., Antoniadis, P., De Amorim, M. D., and Fdida, S. (2014). From popularity prediction to ranking online news. Social Network Analysis and Mining, 4(1):1–12.
Tewksbury, D. (2005). The Seeds of Audience Fragmentation: Specialization in the Use of Online News Sites. Journal of Broadcasting & Electronic Media, 49(3):332–348.
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., and Kappas, A. (2010). Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12):2544–2558.
Varian, H. (2010). Newspaper economics: Online and offline. In presentation at FTC Workshop on How Will Journalism Survive the Internet Age Washington, March, volume 9.
Araújo, , M., Gonçalves, P., Benevenuto, F., and Cha, M. (2014). ifeel: A system that compares and combines sentiment analysis methods. In WWW (Companion Volume). InternationalWorldWideWeb Conference (WWW’14).
Araújo, , M., Reis, J., Pereira, A., and Benevenuto, F. (2016). An evaluation of machine translation for multilingual sentence-level sentiment analysis. In Proceedings of the ACM Symposium on Applied Computing (SAC’16). ACM.
Bandari, R., Asur, S., and Huberman, B. A. (2012). The pulse of news in social media: Forecasting popularity. In ICWSM, pages 26–33.
dos Santos, A. G. L., Becker, K., and Moreira, V. (2014). Um estudo de caso de mineração de emoções em textos multilíngues. In Proceedings of the Brazilian Workshop on Social Network Analysis and Mining (BraSNAM’14).
Ecker, U. K., Lewandowsky, S., Chang, E. P., and Pillai, R. (2014). The effects of subtle misinformation in news headlines. Journal of experimental psychology: applied, 20(4):323.
Esiyok, C., Kille, B., Jain, B.-J., Hopfgartner, F., and Albayrak, S. (2014). Users’ reading habits in online news portals. In Proceedings of the 5th Information Interaction in Context Symposium, pages 263–266. ACM.
Evans, H. (1974). News headlines. Holt, Rinehart and Winston.
Gonçalves, P., Araújo, M., Benevenuto, F., and Cha, M. (2013). Comparing and combining sentiment analysis methods. In 1st ACM Conference on Online Social Networks (COSN’13), pages 27–38.
Konnikova, M. (2016). How headlines change the way we think. http://www.newyorker.com/science/maria-konnikova/headlines-change-way-think?mbid=social_twitter. Acessado em Março, 2016.
M. Ryan, R., H. Bernstein, J., and Warren Brown, K. (2010). Weekends, work, and well-being: Psychological need satisfactions and day of the week effects on mood, vitality, and physical symptoms. In Journal of Social and Clinical Psychology, volume 29, pages 95–122.
Mitchelstein, E. and Boczkowski, P. J. (2009). Between tradition and change: A review of recent research on online news production. Journalism, 10(5):562–586.
Neves, L., Perez, K., Speisman, C., and Westerfield, C. (2013). Headlines sentiment project. https://headlines-and-data.herokuapp.com/. Acessado em Março, 2016.
Nguyen, A., Legg, A., and Sweeny, K. (2011). Do you want the good news or bad news first? news order influences recipients’ mood, perceptions, and behaviors. UCR Undergraduate Research Journal, 5:31–36.
Reis, J., Benevenuto, F., Vaz de Melo, P., Prates, R., Kwak, H., and An, J. (2015a). Breaking the news: First impressions matter on online news. Proceedings of the 9th International AAAI Conference on Web-Blogs and Social Media.
Reis, J., Gonçalves, P., Miranda, L., Prates, R., and Benevenuto, F. (2014a). A percepção dos usuários sobre a utilização de análise de sentimentos como apoio a seleção de notícias. In Proceedings of the XIII Brazilian Symposium on Human Factors in Computing Systems. Sociedade Brasileira de Computação.
Reis, J., Gonçalves, P., Vaz de Melo, P. O., Prates, R., and Benevenuto, F. (2014b). Magnet news: You choose the polarity of what you read. Proceedings of the International Conference on Web and Social Media (ICWSM).
Reis, J., Oliveira, P., Araújo, M., Pereira, A., and Benevenuto, F. (2015b). Uma abordagem multilíngue para análise de sentimentos. In Proceedings of the Brazilian Workshop on Social Network Analysis and Mining (BraSNAM’15).
Tatar, A., Antoniadis, P., De Amorim, M. D., and Fdida, S. (2014). From popularity prediction to ranking online news. Social Network Analysis and Mining, 4(1):1–12.
Tewksbury, D. (2005). The Seeds of Audience Fragmentation: Specialization in the Use of Online News Sites. Journal of Broadcasting & Electronic Media, 49(3):332–348.
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., and Kappas, A. (2010). Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12):2544–2558.
Varian, H. (2010). Newspaper economics: Online and offline. In presentation at FTC Workshop on How Will Journalism Survive the Internet Age Washington, March, volume 9.
Publicado
05/07/2016
Como Citar
RAMOS, Pedro; REIS, Julio; BENEVENUTO, Fabrício.
Uma Análise da Polaridade Expressa nas Manchetes de Notícias Brasileiras. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 2016. , 2016, Porto Alegre.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 187-198.
ISSN 2595-6094.
DOI: https://doi.org/10.5753/brasnam.2016.6454.
