A Comparative Study of Persuasion in Newspaper Headlines
Keywords:
Persuasion, Newspaper Headlines, Arabic Media, English Media, Sentiment AnalysisAbstract
This paper discusses the study of newspaper headlines as a persuasive tool. It aims at identifying and analysing how linguistic and cultural contexts of headings in Arabic- and English-language newspapers influence the sentiment, style of appeal, and structure of headings.
This paper primarily intends to examine how linguistic backgrounds influence the function of rhetorical language in the headlines of Arabic and English newspapers, a theme matter that evolved as a result of exploring how such an influence might lead to differences in content, i.e., the use of persuasive devices and headline form. In so doing, the research is expected to contribute to some understanding of how cultural and linguistic environments mediate perceptions.
The research methodology consists of news extraction both from Arabic and English -language newspapers. Headlines are divided according to the origin of the writer to assess the difference in sentiment along with persuasive language usage. Statistical and analytical techniques used are: Sentiment Distribution Analysis, Frequency Distribution of Persuasive word usage, Chi-square Test of Significant Difference for the two languages and Trend Analysis over the time period regarding the difference in usage of the word.
Sentiment distribution is highly similar for Arabic and English headlines with no statistically significant difference in overall tone. Arabic headlines are slightly more expressive with average higher to persuasive words with noticeable peaks corresponding to significant events thus suggesting a dynamic culturally responsive approach. The usage of persuasive words in English headlines is steadier that may reflect the focus on factuality and objectivity.
References
Akram, U., Lavuri, R., Ansari, A. R., Parida, R., & Junaid, M. (2023). Havocs of social media fake news! Analysing the effect of credibility, trustworthiness, and self-efficacy on consumer’s buying intentions. Journal of Strategic Marketing, 1-15.
Alamri, B. (2023). A Multidimensional Comparative Analysis of MENA and International English Research Article Abstracts in Applied Linguistics. SAGE Open, 13(1), 21582440221145669.
Alyahya, A. F. (2023). Critical discourse analysis of newspaper articles declaring the outbreak of war in Ukraine: The Washington Post vs. The Moscow Times. International Journal of Society, Culture & Language, 11(2 (Themed Issue on Language, Discourse, and Society)), 47-59.
Biber, D., & Conrad, S. (2009). Register, genre, and style. Cambridge University Press.
Borchmann, S. (2024). Headlines as illocutionary subacts: The genre-specificity of headlines. Journal of Pragmatics, 220, 73-99.
Breuer, I. and Napthine,M.(2005) Persuasive Language in Media Texts. Hyde park press.
Crystal, D. (2006). Language and the Internet. Cambridge University Press.
Fletcher, R., & Nielsen, R. K. (2017). Paying for online news: A comparative analysis of six countries. Digital journalism, 5(9), 1173-1191.
George, J., Gerhart, N., & Torres, R. (2023). Uncovering the truth about fake news: A research model grounded in multi-disciplinary literature. Fake News on the Internet, 175-202
Goldstein, J. A., Chao, J., Grossman, S., Stamos, A., &Tomz, M. (2024). How persuasive is AI-generated propaganda?. PNAS nexus, 3(2), pgae034.
Greve-Poulsen, K., Larsen, F. K., Pedersen, R. T., & Albæk, E. (2023). No gender bias in audience perceptions of male and female experts in the news: Equally competent and persuasive. The International Journal of Press/Politics, 28(1), 116-137.
Hart, C., & Cap, P. (Eds.). (2014). Contemporary critical discourse studies. Bloomsbury Publishing.
Hasanain, M., Alam, F., Mubarak, H., Abdaljalil, S., Zaghouani, W., Nakov, P., ... &Freihat, A. A. (2023). Araieval shared task: Persuasion techniques and disinformation detection in arabic text. arXiv preprint arXiv:2311.03179.
Huggard, R., Leonie K. &, Iris B. 2006. Insight Outcomes English year 12. Oxford: Oxford university press. Mentone, Victoria: Insight. Publication
Humprecht, E. (2023). The role of trust and attitudes toward democracy in the dissemination of disinformation—a comparative analysis of six democracies. Digital Journalism, 1-18.
Khramchenko, D. S. (2023). How headlines communicate: A functional-pragmatic analysis of small-format texts in English-language mass media. TLC Journal, 7(2).
Martin, J. R., & White, P. R. (2005). The Language of Evaluation: Appraisal in English. Palgrave Macmillan.
Moore, M., & Colley, T. (2024). Two international propaganda models: Comparing RT and CGTN’s 2020 US election coverage. Journalism Practice, 18(5), 1306-1328.
Ojo, O. E., Adebanji, O. O., Calvo, H., Dieke, D. O., Ojo, O. E., Akinsanya, S. E., ... & Feldman, A. (2023). Legend at ArAIEval shared task: Persuasion technique detection using a language-agnostic text representation model. arXiv preprint arXiv:2310.09661.
Piskorski, J., Stefanovitch, N., Da San Martino, G., & Nakov, P. (2023, July). Semeval-2023 task 3: Detecting the category, the framing, and the persuasion techniques in online news in a multi-lingual setup. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) (pp. 2343-2361).
Piskorski, J., Stefanovitch, N., Nikolaidis, N., Da San Martino, G., & Nakov, P. (2023). Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing and Persuasion Techniques.
Potts, A. (2015). Using corpora to analyze gender. Bloomsbury Publishing.
Richardson, J. E. (2007). Analysing Newspapers: An Approach from Critical Discourse Analysis. Palgrave Macmillan.
Tannen, D. (2007). Talking Voices: Repetition, Dialogue, and Imagery in Conversational Discourse (2nd ed.). Cambridge University Press.
Teo, P., & Xu, H. (2023). A comparative analysis of Chinese and american newspaper reports on China’s belt and road initiative. Journalism Practice, 17(6), 1268-1287.
Von Hohenberg, B. C., & Guess, A. M. (2023). When do sources persuade? The effect of source credibility on opinion change. Journal of Experimental Political Science, 10(3), 328-342.
Wasike, B. (2017). Persuasion in 140 characters: Testing issue framing, persuasion and credibility via Twitter and online news articles in the gun control debate. Computers in human behavior, 66, 179-190.
Wu, B., Razuvayevskaya, O., Heppell, F., Leite, J. A., Scarton, C., Bontcheva, K., & Song, X. (2023). Sheffieldveraai at semeval-2023 task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification. arXiv preprint arXiv:2303.09421.
Xu, Y., Yu, J., & Löffelholz, M. (2024). Portraying the pandemic: analysis of textual-visual frames in German news coverage of COVID-19 on Twitter. Journalism Practice, 18(4), 858-878.
Xu, Z., & Guo, H. (2018). Using text mining to compare online pro-and anti-vaccine headlines: Word usage, sentiments, and online popularity. Communication studies, 69(1), 103-122.
Xu, Z., Laffidy, M., & Ellis, L. (2023). Clickbait for climate change: comparing emotions in headlines and full-texts and their engagement. Information, Communication & Society, 26(10), 1915-1932.
Zamora-Medina, R., Suminas, A., & Fahmy, S. S. (2023). Securing the youth vote: A comparative analysis of digital persuasion on TikTok among political actors. Media and communication, 11(2), 218-231.