Semantic Analysis of News Based on the Deep Convolution Neural Network

Khan, Muhammad Zeeshan; Hassan, Muhammad; Khan, Muhammad Usman

doi:10.1109/icet.2018.8603653

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Badruzzaman [2019] had earlier analysed context-based news headlines in five major global newspapers with the help of Machine Learning. Other scholars worked on sentiment analyses [Bostan, Kim & Klinger, 2019] and semantic analyses of news headlines [Chavan, 2018; Khan, Hassan, Hassan & Ghanni Khan, 2018;Mohammed, Eid, Badawy & Hassan, 2019]. Specifically in Nigeria, studies in these areas concentrated on usage of prepositions in newspapers headlines [Ibrahim & Yunus, 2017;Ibrahim, Haruna, Bashir & Yunus, 2018], pragma-semantic silences [Nwala & Umukuro, 2017] and ambiguity in news headlines [Chinelo & Macpherson, 2015] as well as language use in news headlines [Robert, 2020].…”

Section: Statement Of the Problemmentioning

confidence: 99%

Between Coronavirus and COVID-19: Influence of Nigerian Newspapers’ Headline Construction on Audience Information-Seeking Behaviour

Ojebuyi¹,

Lasisi²,

Ajetunmobi³

2021

CTC 2021 Proceedings Book

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Since the onset of the new coronavirus, the mass media, across the globe, have continued to draw special attention to the disease by adopting different pragmatic and rhetoric strategies. In Nigeria for instance, the news media have continued to draw people’s attention to the virus by using COVID-19 and coronavirus as synonymous lexical entities in the headlines of their news stories. These lexical choices are believed to have some influence on how the audience understand and seek information about the virus. However, existing studies in media and health communication have not copiously explored the relationship between the lexical choices by media to report the COVID-19 pandemic and people’s information-seeking behaviour about the virus. This study was, therefore, designed to investigate how Nigerian journalists used coronavirus and COVID-19 as the key terms to report the virus and how the pragma-semantic implicatures of the lexical choices influenced audience information-seeking behaviours. Pragmatic Acts and Information-Seeking theories were employed as the theoretical framework while online survey and content analysis were adopted as methods. Findings show that although Nigerian journalists used coronavirus (SD=2.090) more often than COVID-19 (SD=1.924) in the headlines, the audience employed COVID-19 (M=2.23, SD=.810) more than coronavirus (M=1.88, SD=.783) while searching information about the virus. Besides, journalists’ use of COVID-19 in the headlines to educate (Chi-square =37.615, df=11, P<.000), warn (Chi-square =26.153, df=11, P<.006), assess (Chi-square= 24.350, df=11, P<.011) and sensitise (Chi-square =24.262, df=11, P<.012) facilitated audience interest in seeking information about the virus than when coronavirus is used as a keyword in the headlines. The lexical choices made by journalists to report a health crisis such as the COVID-19 pandemic have implications for citizens’ knowledge about the crisis.

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