Disintermediation and disinformation as a political strategy: use of AI to analyse fake news as Trump’s rhetorical resource on Twitter
DOI:
https://doi.org/10.3145/epi.2023.sep.23Keywords:
Disinformation, Disintermediation, Fake news, Political communication, Political strategy, Political personalization, Artificial Intelligence, AI, Social networks, Discourse analysis, Sentiment analysis, Twitter, Donald Trump, Deep learning, Machine learning, Natural language processingAbstract
The communicative effects of disintermediation caused by social media promote the expansion of personalist and emotional political discourses that reach the audience directly and evade the traditional journalistic filter. This phenomenon leads to new political communication tactics, but also exposes citizens to potentially fraudulent, contaminated or polarised content. In this context, framed in post-truth, the term ‘fake news’ gains relevance as a way of referring to disinformation and as a political and performative argument that can be weaponised. This research aims to analyse such use in the discourse of the former president Donald Trump during his presidential term (2017-2021), focussing on Twitter as the main platform in his political communication strategy online. To analyse this, we resort to a methodological triangulation of content, discourse, and sentiment analysis, with the latter combining both lexicon and artificial intelligence (AI) techniques through machine learning on the basis of deep learning and natural language processing, which is applied to his messages published with the term ‘fake news’ (N = 768). The analysis of the sample, provided here in an open dataset, employs self-developed software that allows each unit of analysis to be filtered and coded around its predominant themes, sentiments, and words. The main results confirm that Trump’s attribution of ‘fake news’ focusses on three main topics: the media (53%), politics (40%) and his cabinet (33%). It also shows how the former president resorts to a personalist agenda, focussed on the defence of his proposals and his team (80%) by delegitimizing his opponents and the press, with a negative tone (72%) loaded with derogatory terms, confirming a weaponised strategy of the term ‘fake news’ as a political argument of disinformation and disintermediation.
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References
Albright, Jonathan (2017). “Welcome to the Era of Fake News”. Media and communication, v. 5, n. 2, pp. 87-89. https://doi.org/10.17645/mac.v5i2.977
Barbu, Oana (2014). “Advertising, microtargeting and social media”. Procedia-social and behavioral sciences, v. 163, pp. 44-49. https://doi.org/10.1016/j.sbspro.2014.12.284
Beer, David; Burrows, Roger (2007). “Sociology and, of and in web 2.0: some initial considerations”. Sociological research online, v. 12, n. 5. https://doi.org/10.5153/sro.1560
Berrocal-Gonzalo, Salomé; Campos-Domínguez, Eva; Redondo-García, Marta (2014). “Media prosumers in political communication: politainment on YouTube”. Comunicar, v. 43, n. XXII, pp. 65-72. https://doi.org/10.3916/C43-2014-06
Berrocal-Gonzalo, Salomé; Quevedo, Raquel; García-Beaudoux, Virginia (2022). “Pop online politics: new strategies and leaderships for new audiences”. Index comunicación, v. 12, n. 1, pp. 13-19. http://hdl.handle.net/10115/18489
Bleakley, Paul (2018). “Situationism and the recuperation of an ideology in the era of Trump, fake news and post-truth politics”. Capital & class, v. 42, n. 3, pp. 419-434. https://doi.org/10.1177/0309816818759231
Borgesius, Frederik-Zuiderveen; Möller, Judith; Kruikemeier, Sanne; Fathaigh, Ronan Ó.; Irion, Kristina; Dobber, Tom; Bodó, Balázs; De-Vreese, Claes H. (2018). “Online political microtargeting: Promises and threats for democracy”. Utrecht law review, v. 14, n. 1, pp. 82-96. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3128787
Boshmaf, Yazan; Muskukhov, Ildar; Beznosov, Konstantin; Ripeanu, Matei (2011). “The socialbot network: when bots socialize for fame and money”. Twenty-seventh annual computer security applications conference [conference session], December 5th-9th. Orlando, USA. https://bit.ly/3YV2nGQ
Bradshaw, Samantha; Howard, Philip; Kollanyi, Bence; Neudert, Lisa-Maria (2020). “Sourcing and automation of political news and information over social media in the United States, 2016-2018”. Political communication, v. 37, n. 2, pp. 173-193. https://doi.org/10.1080/10584609.2019.1663322
Cabezuelo-Lorenzo, Francisco; Manfredi, Juan-Luis (2019). “Post-truth, fake-news and political agenda in Trump’s speech on Twitter”. Historia y comunicación social, v. 24, n. 2, pp. 471. https://doi.org/10.5209/hics.66291
Cano-Orón, Lorena; Calvo, Dafne; Llorca-Abad, Germán; Mestre-Pérez, Rosanna (2021b). “Media crisis and disinformation: the participation of digital newspapers in the dissemination of a denialist hoax”. Profesional de la información, v. 30, n. 4. https://doi.org/10.3145/epi.2021.jul.12
Cano-Orón, Lorena; Calvo, Dafne; López-García, Guillermo; Baviera, Tomás (2021a). “Disinformation in Facebook ads in the 2019 Spanish general election campaigns”. Media & communication, v. 9, n. 1, pp. 217-228. https://doi.org/10.17645/mac.v9i1.3335
Carlson, Matt (2018). “Automating judgment? Algorithmic judgment, news knowledge, and journalistic professionalism”. New media & society, v. 20, n. 5, pp. 1755-1772. https://doi.org/10.1177/1461444817706684
Carmi, Elinor; Yates, Simeon J.; Lockley, Eleanor; Pawluczuk, Alicja (2020). “Data citizenship: rethinking data literacy in the age of disinformation, misinformation and malinformation”. Internet policy review, v. 9, n. 1. https://www.econstor.eu/handle/10419/218938
Castells, Manuel (2009). Comunicación y poder. Alianza Editorial. ISBN: 978 84 2068499 4
Chandra, Rohitash; Saini, Ritij (2021). “Biden vs Trump: modelling US general elections using BERT language model”. IEEE access, v. 9. https://doi.org/10.1109/ACCESS.2021.3111035
Cheng, Eviane (2019). “Immigrant, nationalist and proud: A Twitter analysis of Indian diaspora supporters for Brexit and Trump”. Media and communication, v. 7, n. 1. https://doi.org/10.17645/mac.v7i1.1629
Cinelli, Matteo; De-Francisci-Morales, Gianmarco; Galeazzi, Alessandro; Quattrociocchi, Walter; Starnini, Michele (2021). “The echo chamber effect on social media”. Proceedings of the National Academy of Sciences, v. 118, n. 9. https://doi.org/10.1073/pnas.2023301118
Coleman, Stephen (2005). “New mediation and direct representation: reconceptualising representation in the digital age”. New media & society, v. 7, n. 2, pp. 177-198. https://doi.org/10.1177/1461444805050745
Colonescu, Constantin (2018). “The effects of Donald Trump’s tweets on US financial and foreign exchange markets”. Athens journal of business & economics, v. 4, n. 4, pp. 375-388. https://doi.org/10.30958/ajbe.4-4-2
Courty, Audrey (2021). “Despite being permanently banned, Trump’s prolific Twitter record lives on”. The conversation, 13th January. https://theconversation.com/despite-being-permanently-banned-trumps-prolific-twitter-record-lives-on-152969
Dang, Nhan-Cach; Moreno-García, María; De-La-Prieta, Fernando (2020). “Sentiment analysis based on deep learning. A comparative study”. Electronics, v. 9, n. 3. https://doi.org/10.3390/electronics9030483
Das-Sarma, Matthew (2016). “Tweeting 2016: how social media is shaping the presidential election”. Inquiries, v. 8, n. 9. http://www.inquiriesjournal.com/articles/1454/tweeting-2016-how-social-media-is-shaping-the-presidential-election
Dwianto, Rahmad-Agus; Nurmandi, Achmad; Salahudin, Salahudin (2021). “The sentiments analysis of Donald Trump and Jokowi’s twitters on covid-19 policy dissemination”. Webology, v. 18, n. 1, pp. 389-405. https://doi.org/10.14704/WEB/V18I1/WEB18096
Enguix-Oliver, Salvador (2020). “Efectos de la digitalización en la relación entre periodistas y políticos: desintermediación y pactos comunicativos”. Pasajes, v. 59, pp. 19-30. https://roderic.uv.es/bitstream/handle/10550/76566/7550103.pdf
Ermakova, Tatiana; Henke, Max; Fabian, Benjamin (2021). “Commercial sentiment analysis solutions: a comparative study”. Webist 2021, pp. 103-114. https://doi.org/10.5220/0010709400003058
Farkas, Johan; Schou, Jannick (2020). Post-truth, fake news and democracy: mapping the politics of falsehood. Routledge. ISBN: 978 0 36732217 5
Fernández-Castrillo, Carolina (2014). “Prácticas transmedia en la era del prosumidor: hacia una definición del contenido generado por el usuario (CGU)”. Cuadernos de información y comunicación, n. 19, pp. 53-67. https://doi.org/10.5209/rev_CIYC.2014.v19.43903
Fincham, Kelly (2019). “Exploring political journalism homophily on Twitter: a comparative analysis of US and UK elections in 2016 and 2017”. Media and communication, v. 7, n. 1, pp. 213-224. https://doi.org/10.17645/mac.v7i1.1765
Froehlich, Thomas J. (2020). “A disinformation-misinformation ecology: the case of Trump”. In: Visnovský, Ján; Radosinká, Jana (eds.). Fake news is bad news. Hoaxes, half-truths and the nature of today´s journalism (pp. 13-58). IntechOpen. ISBN: 978 1 83962 423
García-Orosa, Berta (2021). “Disinformation, social media, bots, and astroturfing: the fourth wave of digital democracy”. Profesional de la información, v. 30, n. 6. https://doi.org/10.3145/epi.2021.nov.03
Gillespie, Tarleton (2010). “The politics of ‘platforms’”. New media & society, v. 12, n. 3, pp. 347-364. https://doi.org/10.1177/1461444809342738
Gómez-García, Salvador; Gil-Torres, Alicia; Carrillo-Vera, José-Agustín; Navarro-Sierra, Nuria (2019). “Constructing Donald Trump: mobile apps in the political discourse about the president of the United States”. Comunicar, v. 27, n. 59. https://doi.org/10.3916/C59-2019-05
Grossman, Lawrence (1995). The electronic republic: reshaping democracy in the information age. Viking. ISBN: 978 0 670 86129 3
Happer, Catherine; Hoskins, Andrew; Merrin, William (2018). “Weaponizing reality: an introduction to Trump’s waron the media”. In: Hoskins, Andrew; Merrin, William (eds.). Trump’s media war (pp. 3-22). Palgrave Macmillan. ISBN: 978 3 319 94069 4
Hernández-Serrano, María-José; Renés-Arellano, Paula; Graham, Gary; Greenhill, Anita (2017). “From prosumer to prodesigner: participatory news consumption”. Comunicar, v. 25, n. 50, pp. 77-88. https://doi.org/10.3916/C50-2017-07
Journell, Wayne (2017). “Fake news, alternative facts, and Trump: Teaching social studies in a post-truth era”. Social studies journal, v. 37, n. 1, pp. 8-21. https://pcssonline.org/wp-content/uploads/2017/06/2017-Spring-PCSS-Journal.pdf
Kapantai, Eleni; Christopoulou, Androniki; Berberidis, Christos; Peristeras, Vassilios (2020). “A systematic literature review on disinformation: toward a unified taxonomical framework”. New media & society, v. 23, n. 5, pp. 1301-1326. https://doi.org/10.1177/1461444820959296
Kaur, Manpreet; Verma, Rajesh; Otoo, Frank-Nana-Kweku (2021). “Emotions in leader’s crisis communication: Twitter sentiment analysis during Covid-19 outbreak”. Journal of human behaviour in the social environment, v. 31, n. 1-4, pp. 362-372. https://doi.org/10.1080/10911359.2020.1829239
Kotras, Baptiste (2020). “Mass personalization: Predictive marketing algorithms and the reshaping of consumer knowledge”. Big data & society, v. 7, n. 2. https://doi.org/10.1177/2053951720951581
Krippendorf, Klaus (2004). Content analysis: an introduction to its methodology. SAGE.
Lokot, Tetyana; Diakopoulos, Nicholas (2015). “News bots”. Digital journalism, v. 4, n. 6, pp. 682-699. https://doi.org/10.1080/21670811.2015.1081822
López-Jiménez, Gloria (2014). “El proceso de desintermediación comunicativa”. Revista internacional del mundo económico y del derecho, v. VII, pp. 69-91. https://bit.ly/2I2Rhuy
Machus, Tobias; Mestel, Roland; Theissen, Erik (2022). “Heroes, just for one day: the impact of Donald Trump’s tweets on stock prices”. Journal of behavioral and experimental finance, v. 33. https://doi.org/10.1016/j.jbef.2021.100594
Magallón-Rosa, Raúl (2018). “La biblioteca digital sobre Donald Trump. Fact-checking frente a fake news”. Estudios sobre el mensaje periodístico, v. 24, n. 1, pp. 273-282. https://doi.org/10.5209/ESMP.59949
Meeks, Lindsey (2019). “Defining the enemy: how Donald Trump frames the news media”. Journalism & mass communication quarterly, v. 97, n. 1, pp. 211-234. https://doi.org/10.1177/1077699019857676
Meirick, Patrick C.; Franklyn, Amanda E. (2022). “Seeing and believing pro-Trump fake news: the interacting roles of online news sources, partisanship, and education”. International journal of communication, v. 16, pp. 3379-3401. https://ijoc.org/index.php/ijoc/article/view/18579
Mencarelli, Alberto (2021). “Parliaments facing the virtual challenge: a conceptual approach for new models of representation”. Parliamentary affairs, n. October. https://doi.org/10.1093/pa/gsab052
Milan, Stefania (2015). “When algorithms shape collective action: Social media and the dynamics of cloud protesting”. Socialmedia+society, v. 1, n. 2. https://doi.org/10.1177/2056305115622481
Misiejuk, Kamila; Scianna, Jennifer; Kaliisa, Rogers; Vachuska, Karl; Williamson-Schaffer, David (2021). “Incorporating sentiment analysis with epistemic network analysis to enhance discourse analysis of twitter data”. In: Ruis, A. R.; Lee, S. B. (eds.). Advances in quantitative ethnography (pp. 375-389). Springer. ISBN: 978 3 0303323 10
Morris, Dick (2001). “Direct democracy and the internet”. Loyola of Los Angeles law review, v. 34, n. 3, pp. 1033-1053. https://digitalcommons.lmu.edu/cgi/viewcontent.cgi?referer=httpsredir=1&article=2280&;context=llr
Murthy, Dhiraj; Powell, Alison B.; Tinati, Rramine; Anstead, Nick; Carr, Leslie; Halford, Susan J.; Weal, Mark (2016). “Automation, algorithms, and politics. Bots and political influence: A sociotechnical investigation of social network capital”. IJOC, n. 10, v. 2016, pp. 4952-4971. https://ijoc.org/index.php/ijoc/article/view/6271
Muswede, Thabiso (2022). “Impact of digital media on political campaigns. Towards disintermediated political communication in Africa”. African journal of political science, v. 10, n. 1, pp. 41-50. https://doi.org/10.36615/ajpsrasp.v10i1.1152
Papakyriakopoulos, Orestis; Hegelich, Simon; Shahrezaye, Morteza; Medina-Serrano, Juan-Carlos (2018). “Social media and microtargeting: Political data processing and the consequences for Germany”. Big data & society, v. 5, n. 2. https://doi.org/10.1177/2053951718811844
Pariser, Eli (2011). The filter bubble: what the Internet is hiding from you. Penguin. ISBN: 978 1 59420300 8
Pérez-Salazar, Gabriel (2011). “La web 2.0 y la sociedad de la información”. Revista mexicana de ciencias políticas y sociales, v. 56, n. 212, pp. 57-68. https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0185-19182011000200004
Pfister, Damien-Smith (2011). “Networked expertise in the era of many-to-many communication: on Wikipedia and invention”. Social epistemology, v. 25, n. 3, pp. 217-231. https://doi.org/10.1080/02691728.2011.578306
Piñuel-Raigada, José-Luis (2002). “Epistemología, metodología y técnicas del análisis de contenido”. Estudios de sociolingüística, v. 3, 42 pp. https://cutt.ly/4wbptUNp
Quealy, Kevin (2021). “The complete list of Trump’s Twitter insults (2015-2021)”. The New York Times, 19th January. https://nyti.ms/3Y3XDgR
Raynauld, Vincent; Turcotte, André (2018). “Different strokes for different folks: implications of voter micro-targeting and appeal in the age of Donald Trump”. In: Gillies, J. (ed.). Political marketing in the 2016 US presidential election (pp. 11-28). Springer. ISBN: 978 3 31 959345 6
Ribeiro, Felipe N.; Saha, Koustuv; Babaei, Mahmoudreza; Henrique, Lucas; Messias, Johnnatan; Benevenuto, Fabricio; Gaga, Oana; Gummadi, Krishna P.; Redmiles, Elissa M. (2019). “On microtargeting socially divisive ads: A case study of Russia-linked ad campaigns on Facebook”. Proceedings of FAT*’19, pp. 140-149. https://doi.org/10.1145/3287560.3287580
Ritzer, George (2015). “Automating prosumption: The decline of the prosumer and the rise of the prosuming machines”. Journal of consumer culture, v. 15, n. 3, pp. 407-424. https://doi.org/10.1177/1469540514553717
Ritzer, George; Dean, Paul; Jurgenson, Nathan (2012). “The coming of age of the prosumer”. American behavioural scientist, v. 56, n. 4, pp. 379-398. https://doi.org/10.1177/0002764211429368
Ross, Andrew S.; Rivers, Damian J. (2018). “Discursive deflection: Accusation of ‘fake news’ and the spread of mis-and disinformation in the tweets of President Trump”. Social media+society, v. 4, n. 2. https://doi.org/10.1177/2056305118776010
Rossetti, Michael; Zaman, Tauhid (2023). “Bots, disinformation, and the first impeachment of U.S. President Donald Trump”. Plos one, v. 18, n. 5. https://doi.org/10.1371/journal.pone.0283971
Rossini, Patricia; Stromer-Gallery, Jennifer; Korsunska, Ania (2021). “More than ‘fake news’? The media as malicious gatekeeper and a bully in the discourse of candidates in the 2020 U.S. presidential election”. Journal of language and politics, v. 20, n. 5, pp. 676-695. https://doi.org/10.1075/jlp.21033.ros
Rubio-Fabián, Roberto (2019). “La peligrosa desintermediación política”. La prensa gráfica, v. 104, n. 6, pp. 46. http://www.repo.funde.org/id/eprint/1552
Sadia, Azeema; Khan, F.; Bashir, Fatima (2018). “An overview of lexicon-based approach for sentiment analysis”. 3rd International electrical engineering conference, 5 pp. https://ieec.neduet.edu.pk/2018/Papers_2018/15.pdf
Sánchez-García, Pilar; Merayo-Álvarez, Noemí; Calvo-Barbero, Carla; Diez-Gracia, Alba (2023). “Spanish technological development or artificial intelligence applied to journalism: Companies and tools for documentation, production and distribution of information”. Profesional de la información, v. 32, n. 2. https://doi.org/10.3145/epi.2023.mar.08
Singh, Narishia; Wijegunawardhana, Anuradha (2018). “Impact of big data and political microtargeting on Donald Trump’s 2016 presidential campaign”. International research conference, pp. 28-34. http://ir.kdu.ac.lk/handle/345/2485
Smith, Christopher A. (2019). “Weaponized iconoclasm in Internet memes featuring the expression ‘fake news’”. Discourse & communication, v. 13, n. 3. https://doi.org/10.1177/1750481319835639
Tamul, Daniel J.; Ivory, Adrienne-Holz; Hotter, Jessica; Wolf, Jordan (2019). “All the president’s tweets: effects of exposure to Trump’s “fake news”. Accusations on perceptions of journalists, news stories, and issue evaluation”. Mass communication and society, v. 23, n. 3. https://doi.org/10.1080/15205436.2019.1652760
Timoshenko, Aartem; Hauser, John (2019). “Identifying customer needs from user-generated content”. Marketing science, v. 38, n. 1. https://doi.org/10.1287/mksc.2018.1123
Tong, Chau; Gill, Hyungjin; Li, Jianing; Valenzuela, Sebastián; Rojas, Hernando (2020). “Fake news is anything they say!” – Conceptualization and weaponization of fake news among the American public”. Mass communication and society, v. 23, n. 5, pp. 755-778. https://doi.org/10.1080/15205436.2020.1789661
Van-Dijck, José (2016). La cultura de la conectividad: una historia crítica de las redes sociales. Siglo Veintiuno. ISBN: 978 987 629 669 4
Van-Dijk, Teun (1990). La noticia como discurso. Comprensión, estructura y producción de la información. Paidós. ISBN: 84 7509 622 0
Waheed, Anum; Salam, Abdus; Bangash, Javed-Iqbal; Bangash, Maria (2021). “Lexicon and learn-based sentiment analysis for web spam detection”. IEEESEM, v. 9, n. 3. https://www.ieeesem.com/researchpaper/Lexicon_and_Learn_Based_Sentiment_Analysis_for_Web_Spam_Detection.pdf
Wardle, Claire; Derekshan, Hossein (2017) Information disorder: toward an interdisciplinary framework for research and policy making. Council of Europe report DGI09, 31st October. Brussels: Council of Europe. https://rm.coe.int/information-disorder-toward-an-interdisciplinary-framework-for-researc/168076277c
Wu, Yanfang (2019). “Is automated journalistic writing less biased? An experimental test of auto-written and human-written news stories”. Journalism practice, v. 1, n. 21. https://doi.org/10.1080/17512786.2019.1682940
Xia, Ethan; Yue, Han; Liu, Hongfu (2021). “Tweets sentiment analysis of the 2020 U.S. presidential election”. Proceedings of WWW’21. https://dl.acm.org/doi/abs/10.1145/3442442.3452322
Zimmer, Franziska; Scheibe, Katrin; Stock, Mechtild; Stock, Wolfgang G. (2019). “Fake news in social media: Bad algorithms or biased users?”. JISTaP, v. 7, n. 2, pp. 40-53. https://doi.org/10.1633/JISTaP.2019.7.2.4
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