Abstract
In this article, we quantitatively analyze how the term “fake news” is being shaped in news media in recent years. We study the perception and the conceptualization of this term in the traditional media using eight years of data collected from news outlets based in 20 countries. Our results not only corroborate previous indications of a high increase in the usage of the expression “fake news”, but also show contextual changes around this expression after the United States presidential election of 2016. Among other results, we found changes in the related vocabulary, in the mentioned entities, in the surrounding topics and in the contextual polarity around the term “fake news”, suggesting that this expression underwent a change in perception and conceptualization after 2016. These outcomes expand the understandings on the usage of the term “fake news”, helping to comprehend and more accurately characterize this relevant social phenomenon linked to misinformation and manipulation.
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References
Acerbi, A., Lampos, V., Garnett, P., Bentley, R.A.: The expression of emotions in 20th century books. PLOS ONE 8(3), e59030 (2013)
Berger, G.: How the Internet impacts on international news: exploring paradoxes of the most global medium in a time of ‘hyperlocalism’. Int. Commun. Gaz. 71(5), 355–371 (2009)
Bird, S., Loper, E., Klein, E.: Natural Language Processing with Python. O’Reilly Media Inc., Sebastopol (2009)
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)
Cambraia, C.N.: Da lexicologia social a uma lexicologia sócio-histórica: caminhos possíveis. Revista de Estudos da Linguagem 21(1), 157–188 (2013)
Collins Dictionary: Word of the year 2017 (2017). https://www.collinsdictionary.com/woty. Accessed 4 May 2018
Davies, M.: Corpus of News on the Web (NOW): 3+ billion words from 20 countries, updated every day (2013). https://corpus.byu.edu/now/
Davies, M.: Fake news (2017). https://corpus.byu.edu/now/help/fake-news.asp. Accessed 4 May 2018
Fast, E., Chen, B., Bernstein, M.S.: Empath: understanding topic signals in large-scale text. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 4647–4657. ACM (2016)
Flaounas, I., et al.: Research methods in the age of digital journalism: massive-scale automated analysis of news-content - topics, style and gender. Digit. Journal. 1(1), 102–116 (2013). https://doi.org/10.1080/21670811.2012.714928
Flaounas, I., Turchi, M., Ali, O., Fyson, N., De Bie, T., Mosdell, N., Lewis, J., Cristianini, N.: The structure of the EU mediasphere. PLOS ONE 5(12), e14243 (2010)
Gulordava, K., Baroni, M.: A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus. In: Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics, pp. 67–71. Association for Computational Linguistics (2011)
Koplenig, A.: The impact of lacking metadata for the measurement of cultural and linguistic change using the Google Ngram data sets - reconstructing the composition of the German corpus in times of WWII. Digit. Sch. Humanit. 32(1), 169–188 (2017). https://doi.org/10.1093/llc/fqv037
Lansdall-Welfare, T., Sudhahar, S., Veltri, G.A., Cristianini, N.: On the coverage of science in the media: a big data study on the impact of the Fukushima disaster. In: 2014 IEEE International Conference on Big Data, pp. 60–66. IEEE (2014)
Leetaru, K.: Culturomics 2.0: Forecasting large-scale human behavior using global news media tone in time and space. First Monday 16(9) (2011). http://firstmonday.org/article/view/3663/3040
Matoré, G.: La méthode en lexicologie: domaine français. Didier, Paris (1953)
Michel, J.B., et al.: Quantitative analysis of culture using millions of digitized books. Science 331(6014), 176–182 (2011)
Newman, D., Lau, J.H., Grieser, K., Baldwin, T.: Automatic evaluation of topic coherence. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT 2010, pp. 100–108. Association for Computational Linguistics, Stroudsburg, PA, USA (2010). http://dl.acm.org/citation.cfm?id=1857999.1858011
Pechenick, E.A., Danforth, C.M., Dodds, P.S.: Characterizing the Google Books corpus: strong limits to inferences of socio-cultural and linguistic evolution. PLOS ONE 10(10), e0137041 (2015)
Petersen, A.M., Tenenbaum, J., Havlin, S., Stanley, H.E.: Statistical laws governing fluctuations in word use from word birth to word death. Sci. Rep. 2, Article number 313 (2012)
Řehůřek, R., Sojka, P.: Software framework for topic modelling with large corpora. In: Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pp. 45–50. ELRA, Valletta, Malta, May 2010. http://is.muni.cz/publication/884893/en
Roth, S.: Fashionable functions: a google ngram view of trends in functional differentiation (1800–2000). Int. J. Technol. Hum. Interact. 10(2), 34–58 (2014)
Silva, N.F.F.D., Coletta, L.F.S., Hruschka, E.R.: A survey and comparative study of tweet sentiment analysis via semi-supervised learning. ACM Comput. Surv. 49(1), 15:1–15:26 (2016). https://doi.org/10.1145/2932708
Standage, T.: The true history of fake news. 1843 Magazine (2017). https://bit.ly/2sh9OYQ. Accessed 4 May 2018
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., Kappas, A.: Sentiment in short strength detection informal text. J. Am. Soc. Inf. Sci. Technol. 61(12), 2544–2558 (2010). https://doi.org/10.1002/asi.v61:12
Tjong Kim Sang, E.F., De Meulder, F.: Introduction to the CoNLL-2003 shared task: language-independent named entity recognition. In: Proceedings of the 7th Conference on Natural Language Learning at HLT-NAACL 2003. Association for Computational Linguistics (2003)
Wynne, M.: Searching and concordancing. In: Corpus Linguistics. An International Handbook, vol. 1, pp. 706–737 (2008)
Zollo, F.: Emotional dynamics in the age of misinformation. PLOS ONE 10(9), 1–22 (2015). https://doi.org/10.1371/journal.pone.0138740
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Cunha, E., Magno, G., Caetano, J., Teixeira, D., Almeida, V. (2018). Fake News as We Feel It: Perception and Conceptualization of the Term “Fake News” in the Media. In: Staab, S., Koltsova, O., Ignatov, D. (eds) Social Informatics. SocInfo 2018. Lecture Notes in Computer Science(), vol 11185. Springer, Cham. https://doi.org/10.1007/978-3-030-01129-1_10
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