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1

Moss, Peter. "Words, Words, Words: Radio News Discourses and How They Work." European Journal of Communication 3, no. 2 (1988): 207–30. http://dx.doi.org/10.1177/0267323188003002006.

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Hafsa Bibi, Prof. Muhammad Shafqat Nawaz, and Dr. Hafiz Muhammad Qasim. "Beyond Words." Inception-Journal of Languages and Literature 4, no. 1 (2024): 11–30. https://doi.org/10.36755/ijll.v4i1.104.

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The current study aimed to comparatively analyze the transitivity patterns employed in the headlines related to the OceanGate Submarine incident published in Pakistani and International newspapers. The study also intended to explicate the way Pakistani and International newspapers framed the headlines. Moreover, the societal and cultural factors influencing the choices of transitivity patterns in the newspapers were investigated. The study adopted a mixed-method design as the data analysis involved both numerical measures and qualitative interpretations. The sample for the study consisted of 3
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Kadri, Hamdi Khalis, Nidana Yahya, and Farahnaz Khalib. "Emotive Language in Online News: The Case of Awani News Channel." e-Jurnal Bahasa dan Linguistik (e-JBL) 2, no. 2 (2020): 125–33. http://dx.doi.org/10.53840/ejbl.v2i2.56.

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Employing emotive words in news writing is one of the most common strategies in today’s newspaper reporting. Emotive words are usually used in writings to evoke readers’ emotion on the subject. It is important for a reader to be aware of this phenomenon so they would not be easily manipulated by provoking news articles. However, in Malaysia where the news media is still being controlled strictly by regulations and ethics, are emotive words the commonly employed strategy by journalists? This study intends to discover the usage of emotive words in news reporting in Awani News. The data for this
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Soe, Soe Lwin, and Thandar Nwet Khin. "Myanmar news summarization using different word representations." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 2285–92. https://doi.org/10.11591/ijece.v11i3.pp2285-2292.

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There is enormous amount information available in different forms of sources and genres. In order to extract useful information from a massiveamount of data, automatic mechanism is required. The text summarization systems assist with content reduction keeping the important information and filtering the non-important parts of the text. Good document representation isreally important in text summarization to get relevant information. Bag-ofwords cannot give word similarity on syntactic and semantic relationshipWord embedding can give good document representation to capture andencode the semantic
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Candra, Eva Nurul, and Elyza Martiarini. "Analysis of Connotation Words in The Jakarta Post Online Headline News." DEIKSIS 10, no. 01 (2018): 26. http://dx.doi.org/10.30998/deiksis.v10i01.2194.

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This research aims to analyse connotation words in the Jakarta Post online headline news and to find the positive and negative connotation of those online headline news. Qualitative method and descriptive analysis are applied in this research. There are 30 headline news of data sources. The result of the research shows that 46,66 % of the 30 headline news online use positive connotation words and 53,33 % of them use negative connotation words in the news. And it also shows that an online newspaper headline might evoke different feelings and emotions to the readers by using the connotation word
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Nimtupariya, Chonnipa, and Pataraporn Tapinta. "The Influences of Loaded Words in Tragic News Headlines on Readers’ Emotions." Suranaree Journal of Social Science 15, no. 2 (2021): 106–24. http://dx.doi.org/10.55766/npab2212.

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In tragic news, the use of loaded words is one prominent device in constructing effective news headlines to draw interests and provoke readers’ emotions (Clark, 2007). Nevertheless, with a dearth of research studies in this phenomenon, the aims of this qualitative study are to investigate 1) what word classes of loaded words are found in tragic news headlines, and 2) how these loaded words provoke emotions and reactions in news readers. First, 180 tragic news headlines were purposively selected from all news headlines on nine websites between July to October 2019 and analyzed. The findings rev
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Khairumi, Nurul, and Tri Mastoyo Jati Kesuma. "Deadjectival Nouns with Suffixes {-ity} and {-ness} in English News: a Corpus-based Study." SUAR BETANG 19, no. 2 (2024): 183–92. https://doi.org/10.26499/surbet.v19i2.19355.

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This research is a descriptive qualitative study that analyzes the frequency and collocations of deadjectival nouns that have suffixes {-ity} and {-ness} in English news. The data source is 100,000 English news sentences from 2023 retrieved from Leipzig Corpora Collection. The analysis was conducted with the assistance of AntConc. The results show that the suffix {-ity} tends to produce deadjectival nouns that dominantly appear in English news, while the suffix {-ness} tends to create a variety of nouns. In addition, the deadjectival nouns with the suffix {-ity} are more diverse in collocating
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Khoizuronah, Sayyidah, Muwaafiquddin Abdul Latif, and Wildan Falah Athoillah. "Polysemy in Economic News about Inflation and Import Restrictions on CNN Arabic." Journal of Arabic Language Studies and Teaching 3, no. 2 (2023): 111–29. http://dx.doi.org/10.15642/jalsat.2023.3.2.111-129.

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This research aims to reveal, understand, and analyze words containing polysemy in economic news about inflation and import restrictions on CNN Arabic so that everything is correct in understanding the news. The object of this research is two news stories about the economy on CNN Arabic. This research was conducted using a qualitative descriptive method: collecting, analyzing, and describing data. The research results showed that twenty-four words containing polysemy were found in economic news on CNN Arabic. It includes polysemy of nouns, verbs, and adjectives, with details of thirteen noun w
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Vassilev, Simeon, and Yanka Totseva. "Editor’s Words." Rhetoric and Communications, no. 55 (April 29, 2023): 3–9. http://dx.doi.org/10.55206/aoxd6984.

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Issue 55 of the scientific e-journal “Rhetoric and Communications” continues its tradition of offering in-depth research by Bulgarian and foreign scholars and experts on current topics in the field of rhetoric and communications. The focus is on the theoretical reflection on three important topics – media credibility and PR communication; European cohesion policy and the manifestations of media deficits in a virtual environment; the role of media in the educational process and trends in doctoral education. Included in the issue are the results of research on the rhetoric of trust as a stimulus
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Amalia, Rahmatin Nur, Kusman Sadik, and Khairil Anwar Notodiputro. "A PRELIMINARY STUDY OF SENTIMENT ANALYSIS ON COVID-19 NEWS: LESSON LEARNED FROM DATA ACQUISITION, PRE-PROCESSING, AND DESCRIPTIVE ANALYTICS." BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, no. 4 (2023): 1901–14. http://dx.doi.org/10.30598/barekengvol17iss4pp1901-1914.

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Sentiment analysis is a method used to analyze opinions and feelings. The goal of sentiment analysis is to determine whether a document contains a positive or negative emotion. Along with the spread of Covid-19 cases, news related to Covid-19 has often become a trending topic in the mass media. Conducting sentiment analysis using all news becomes more challenging because it might take time and cost. Therefore, the sampling method is needed to obtain representative news for the analysis. Web scraping was employed to obtain the news article about Covid-19 in Indonesia. In order to select the rep
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11

Adikayon, Leonilla Yolanda Kintan. "Compound words on the Jakarta post newspaper and Việtnam news newspaper". Journal of Applied Studies in Language 4, № 2 (2020): 260–72. http://dx.doi.org/10.31940/jasl.v4i2.2107.

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A newspaper has become the major news source around the world, either the printed or online newspaper. A newspaper provides many kinds of news and from different perspectives. Words in the newspaper play a significant role to deliver the information to the readers. The morpho-semantic study is needed to find out the uncommon words and their meaning in the newspaper. News in The Jakarta Post newspaper and Việt Nam News newspaper were analyzed, applying Hamawand’s (2001) compound categorization. Endocentric compound and exocentric compound by O’Grady et al (2016) are also being used in this stud
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12

Luthfi, Naufal Haritsah, and Agus Hartoyo. "AI Explanation related Covid Hoax Detection Using Support Vector Machine and Logistics Regression Methods." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 1 (2023): 170. http://dx.doi.org/10.30865/mib.v7i1.5386.

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Hoax news about Covid is still circulating in society. Especially on social media, this phenomenon still occurs. The existence of this disinformation can cause divisions between communities. Currently, technology can classify hoax news and non-hoax news. But no system can see the reasons for a model to classify hoax news and non-hoax news. Therefore, in this study, a system was developed that can see words on a system that detects hoax and non-hoax news using the Support Vector Machine and Logistic Regression methods. Meanwhile, the Explainable AI method is Local Interpretable Model-agnostic E
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Martiarini, Elyza, Eva Nurul Candra, and Asti Ramadhani Endah Lestari. "Borrowing Words in an Online News." Scope : Journal of English Language Teaching 9, no. 2 (2025): 892. https://doi.org/10.30998/scope.v9i2.26259.

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<p>This study aims at analyzing borrowing words in an online newspaper, namely CNN, and to identify the types of borrowing words in it. The method works in this study is descriptive qualitative in analyzing three educational rubrics at CNN. On the basis of result of the study, there are 15,70 % of three educational rubrics online news use loan words and 84,30 % use loan blends words. In addition, there is no shift in the use of loan words in the rubrics. Loan blends consisted of <em>instrumen, prioritas, </em>and <em>akses</em>. Loan blends consisted of <em>
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14

Andriani, Viena Wanidha. "Penggunaan Kata Tabu dalam Tuturan Pembaca Berita “Pojok Kampung” JTV." INCARE, International Journal of Educational Resources 5, no. 2 (2024): 201–10. http://dx.doi.org/10.59689/incare.v5i2.995.

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This research aims to describe the types and examples of taboo words used by news readers on JTV's "Pojok Kampung" program, East Java, which are distinctive or unique and different from news programs in general. This research is descriptive qualitative research. The data source in this research is the speech of the JTV "Pojok Kampung" news presenters. The data collection technique used is listening and note-taking technique. Wardhaugh's theory is applied in this research to identify the types of taboo words used in the news broadcast "Pojok Kampung". From the results of the analysis, it was fo
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15

Pawitra. "English Borrowing Words in Jagatplay News Articles." Langua: Journal of Linguistics, Literature, and Language Education 6, no. 2 (2023): 11–22. https://doi.org/10.5281/zenodo.8035442.

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Language borrows words from another language when cultural contact occurs. It can’t be denied that borrowing words can be found commonly anywhere, not to mention on the internet. This paper is entitled “English Borrowing Words in JagatPlay News Articles", and aimed to analyze the borrowed words used in the website with a focus on the meaning change. The data of this study is taken randomly from JagatPlay news articles, which are considered to be relevant to the study.  The data was then analyzed using the theory proposed by Bloomfield (1935), Hockett (1958), and mainly Ba
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16

Kozlovskaya, N. V., and A. S. Pavlova. "One-month words mirrored by operational neography." Verba Northwest Linguistic Journal, no. 1 (2024): 8–20. http://dx.doi.org/10.34680/verba-2024-1(11)-8-20.

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The article discusses the problems of lexicography of groups of new vocabulary that arose within one month in the modern Russian language in connection with socially significant news events, in academic operational neography. The study demonstrates the features of formation, semantics and functioning of the studied units in media discourse, identifies the characteristic features of one-month neologisms including their connection with a socially significant news feed, derivational activity, expressiveness, use of productive word-formation methods (affixation, compounding and contamination). The
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17

Ng, Yu-Leung, and Xinshu Zhao. "The Human Alarm System for Sensational News, Online News Headlines, and Associated Generic Digital Footprints: A Uses and Gratifications Approach." Communication Research 47, no. 2 (2018): 251–75. http://dx.doi.org/10.1177/0093650218793739.

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By adopting the uses and gratifications approach to understand two evolutionary needs—the environmental surveillance need and social involvement need—this study investigated the use of alarm and prosocial words in news headlines and the associated generic digital footprints. We analyzed over 170,000 online news headlines and the number of associated clicks and “likes” for each news story on an online news platform. Our results support the idea of a human alarm system for sensational news as a psychological survival mechanism designed to detect and pay attention to threatening news such as cata
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18

Novitasari, Irfani, Zaenal Mukarom, and Enjang Muhaemin. "Penerapan Bahasa Jurnalistik pada Berita Utama di Surat Kabar “PIKIRAN RAKYAT” Edisi 12 Juni-19 Juli 2018." Annaba: Jurnal Ilmu Jurnalistik 2, no. 3 (2021): 103–22. http://dx.doi.org/10.15575/annaba.v2i3.689.

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Kajian ini bertujuan untuk mengetahui dan menggambarkan tentang penerapan bahasa jurnalistik yang sesuai dengan kaidah bahasa jurnalistik menurut JS Badudu yaitu sederhana, singkat, padat, lugas, jelas, menarik. Metode yang digunakan dalam Kajian ini adalah metode deskriptif analisis. Dengan metode deskriptif analisis ini dapat mendeskripsikan secara mendalam terhadap subjek kajian. Hasil kajian menunjukkan bahwa Pikiran Rakyat (PR) telah menerapkan bahasa jurnalistik sederhana sebanyak 19 berita yang menggunakan kata yang banyak diketahui atau bersifat umum, kata yang mudah dipahami, dan susu
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19

Apriyanti, Difiani, and Anggara Payudha. "Some Words Mispronunciation in Pro News Today at Pro News Radio." Journal Polingua : Scientific Journal of Linguistics, Literature and Education 3, no. 1 (2018): 1–8. http://dx.doi.org/10.30630/polingua.v3i1.6.

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Learning English through media-printed media such as newspaper printed in English and electronic media such as Radio andTelevision present in English. In Padang, West Sumatra, Pro News Radio is one of the stations which broadcast an English program. It isnamed Pro News Today. Most of the listeners are people in West Sumatra who want to learn English. Because many people are hopingmuch from this program, it is a must to see whether the program is being presented perfectly. Referring to this reason, the writersconducted a project about mispronunciation words that occur by the newsreaders during
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Ibrushi, Denada, and Helmi Jedidi. "RELATION BETWEEN NEGATIVE TONE IN NEWS RELEASES OF WHO AND INDUSTRY RETURNS DURING THE COVID-19 PANDEMIC." Applied Finance Letters 10 (October 27, 2021): 93–102. http://dx.doi.org/10.24135/afl.v10i.442.

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We analyze the relationship between the negative tone in news releases issued by the WHO and industry returns during the Covid-19 pandemic. We construct our news tone measure as the ratio of negative words to the total number of words present in news releases of WHO. The news tone shows to be significantly associated with returns for the majority of industries. Bad news announced by the WHO translates into good news for consumer nondurables, telecommunications, and healthcare sectors. Negative tone in news releases of WHO is on average bad news for consumer durables, manufacturing, energy, and
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Singh, Amritpal, and Sunil Kumar Chhillar. "News Category Classification Using Distinctive Bag of Words and ANN Classifier." International Journal of Emerging Research in Management and Technology 6, no. 6 (2018): 311. http://dx.doi.org/10.23956/ijermt.v6i6.288.

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Category classification, for news, is a multi-label text classification problem. The goal is to assign one or more categories to a news article. A standard technique in multi-label text classification is to use a set of binary classifiers. For each category, a classifier is used to give a “yes” or “no” answer on if the category should be assigned to a text. Some of the standard algorithms for text classification that are used for binary classifiers include Naive Bayesian Classifiers, Support Vector Machines, artificial neural networks etc. In this distinctive bag of words have been used as fea
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da Costa, Fernando. "Editorial: Brief Words from the Editor-in-Chief." EMS Newsletter 2020-12, no. 118 (2020): 1–2. http://dx.doi.org/10.4171/news/118/2.

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Abdullah, Moch Zawaruddin, and Chastine Fatichah. "Peringkasan multi-dokumen berita berdasarkan fitur berita dan part of speech tagging." Register: Jurnal Ilmiah Teknologi Sistem Informasi 4, no. 2 (2018): 56. http://dx.doi.org/10.26594/register.v4i2.1251.

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News Feature Scoring (NeFS) merupakan metode pembobotan kalimat yang sering digunakan untuk melakukan pembobotan kalimat pada peringkasan dokumen berdasarkan fitur berita. Beberapa fitur berita diantaranya seperti word frequency, sentence position, Term Frequency-Inverse Document Frequency (TF-IDF), dan kemiripan kalimat terhadap judul. Metode NeFS mampu memilih kalimat penting dengan menghitung frekuensi kata dan mengukur similaritas kata antara kalimat dengan judul. Akan tetapi pembobotan dengan metode NeFS tidak cukup, karena metode tersebut mengabaikan kata informatif yang terkandung dalam
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Ouyang, Huilin, and Hangqi Yan. "Exploring the Impact of Different Textual Language Features on Large Language Models' Detection of Fake News." Communications in Humanities Research 42, no. 1 (2024): 142–48. http://dx.doi.org/10.54254/2753-7064/42/20242585.

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Abstract: With the proliferation of social media and online platforms, fake news has become increasingly rampant. This study explores the impact of different textual language features on large language models (such as ChatGPT) in detecting fake news. By extracting extreme emotional vocabulary and exaggerated syntactic words commonly found in fake news and calculating their TF-IDF values, this study analyzes their influence on large language models' ability to assess the veracity of news. The study found that the frequency of extreme emotional words is higher than that of exaggerated syntactic
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Abdullah, Moch Zawaruddin, and Chastine Fatichah. "Feature-based POS tagging and sentence relevance for news multi-document summarization in Bahasa Indonesia." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 541–49. http://dx.doi.org/10.11591/eei.v11i1.3275.

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Sentence extraction in news document summarization determines representative sentences primarily by employing the news feature known as news feature score (NeFS). NeFS can achieve meaningful sentences by analyzing the frequency and similarity of phrases while neglecting grammatical information and sentence relevance to the title. The presence of instructive content is indicated by grammatical information carried by part of speech (POS). POS tagging is the process of giving a meaningful tag to each term based on qualified data and even surrounding words. Sentence relevance to the title is inten
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Moch, Zawaruddin Abdullah, and Fatichah Chastine. "Feature-based POS tagging and sentence relevance for news multi-document summarization in Bahasa Indonesia." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 541–49. https://doi.org/10.11591/eei.v11i1.3275.

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Sentence extraction in news document summarization determines representative sentences primarily by employing the news feature known as news feature score (NeFS). NeFS can achieve meaningful sentences by analyzing the frequency and similarity of phrases while neglecting grammatical information and sentence relevance to the title. The presence of instructive content is indicated by grammatical information carried by part of speech (POS). POS tagging is the process of giving a meaningful tag to each term based on qualified data and even surrounding words. Sentence relevance to the title is inten
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El-Barbary, O. "Arabic News Classification Using Field Association Words." Advances in Research 6, no. 1 (2016): 1–9. http://dx.doi.org/10.9734/air/2016/18789.

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Syafyahya, Leni, and Efri Yades. "ANALISIS FRAMING BAHASA BERITA TINDAK KRIMINAL PADA MEDIA MASSA." Puitika 16, no. 1 (2020): 78. http://dx.doi.org/10.25077/puitika.16.1.78--102.2020.

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The problem in research, namely how is the choice of words in mass media framing of crime news? What are the techniques and models of mass media framing of crime news? What is the response of the community to the use of non-criminal news language and its influence on society? This study aims to describe and inventory the concept of the crime language news framing in the mass media. The concept of framing described is related to the choice of words in mass media framing, techniques and models of mass media framing of crime news and public response to the use of non-criminal news language and it
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Nurise, Nurise. "THE USE OF COMPOUND WORDS AND GRAMMATICAL COHESION IN THE ONLINE NEWS HEADLINE COLUMN OF THE JAKARTA POST." INFERENCE: Journal of English Language Teaching 5, no. 2 (2022): 150. http://dx.doi.org/10.30998/inference.v5i2.8855.

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<p>The aim of this research is to find out The Use of Compound Words and Grammatical Cohesion in the Online News Headline Column of The Jakarta Post. The method used to analyze the headlines is descriptive qualitative method in the form of data from the online news headlines column in The Jakarta Post by examining each headline containing compound words and grammatical cohesion. The writer uses the Delahunty and Garvey’s theory to examine compound words and the theory of Halliday and Hasan to examine grammatical cohesion. After the writer analyzes the data in the online news headline col
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Hatimah, Huznul, Saifullah Saaifullah, and Rosmini Kasman. "Analisis Kesalahan Ejaan Bahasa Indonesia pada Berita di Portal Berita Online Tribun-Timur.com (Tribun Sidrap)." Nuances of Indonesian Language 4, no. 2 (2023): 84–92. http://dx.doi.org/10.51817/nila.v4i2.663.

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The aim of this research is to describe Indonesian spelling errors in news on the online news portal Tribun-Timur.com. This research uses a descriptive qualitative approach. This research focuses on spelling errors, namely the use of letters, writing words, and the use of punctuation marks. The data in the research are words or sentences that contain spelling errors. The data source in this research is news on the online news portal Tribun-Timur.com (Tribun Sidrap) January 2023 edition. The data collection techniques used in this research are reading techniques, note-taking techniques and docu
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Ge, Xiaoyi, Shuai Hao, Yuxiao Li, Bin Wei, and Mingshu Zhang. "Hierarchical Co-Attention Selection Network for Interpretable Fake News Detection." Big Data and Cognitive Computing 6, no. 3 (2022): 93. http://dx.doi.org/10.3390/bdcc6030093.

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Social media fake news has become a pervasive and problematic issue today with the development of the internet. Recent studies have utilized different artificial intelligence technologies to verify the truth of the news and provide explanations for the results, which have shown remarkable success in interpretable fake news detection. However, individuals’ judgments of news are usually hierarchical, prioritizing valuable words above essential sentences, which is neglected by existing fake news detection models. In this paper, we propose an interpretable novel neural network-based model, the hie
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Putra, Rheza Ramadhan, Donni Richasdy, and Aditya Firman Ihsan. "Part-of-Speech Tagging Implementation on Telkom University News using Bidirectional LSTM Method." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 1 (2023): 360. http://dx.doi.org/10.30865/mib.v7i1.5506.

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News is a tool used to disseminate information through various media, one of which is the internet. Various kinds of news articles have words that are not recognized in the dictionary such as slang words and have foreign words that do not exist in the corpus. How can a POS tagging model built on the corpus be able to handle word class labeling in Indonesian news. The research was conducted to check the results of POS tagging on a collection of news about Telkom University which was selected manually. By using the bidirectional LSTM model, three test scenarios were attempted to improve the perf
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Кудрина, Л., and L. Kudrina. "Foreign Words in the News Texts of Internet Publications." Scientific Research and Development. Modern Communication Studies 7, no. 5 (2018): 49–54. http://dx.doi.org/10.12737/article_5b9f9f151238f8.99963301.

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The article is devoted to the actual problem of using foreign words in news texts of Internet publications. The author considers the news texts of the leading online media, highlights and examines foreign lexemes. The author shows the ambiguous interpretation of the linguistic term ‘borrowing’ in Russian linguistics and the related difficulties of distinguishing the varieties of borrowed words. The author’s appeal to foreign lexemes based on the definition of dictionaries allows to identify the dynamics of the occurrence of linguistic units. As a result of the analysis, foreign words are class
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Dewi, Mariani. "Gaya Bahasa Berita Media Online di Indonesia: Judul Menarik Tidak Harus Tidak Baku." Humaniora 5, no. 2 (2014): 1015. http://dx.doi.org/10.21512/humaniora.v5i2.3212.

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Online media faces the challenge the urgency of news delivery, fierce competition in capturing audience attention, and changing of audience demography toward younger audience. So, media workers are required to use various means to attract Internet readers. One of the ways is using simpler and more popular language in delivering the news. This study tries to find out if it prompts online news media to undermine formal language because the use of popular words that are still not accepted by Indonesia's language authority and the type of nonformal language used. Research used quantitave approach
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Sobirin, Muhaimin, M. Junaidi, and Dian Mursyidah. "Agenda Setting Theory Pencalonan Walikota Jambi di Media Seru Jambi.com." MAUIZOH: Jurnal Ilmu Dakwah dan Komunikasi 3, no. 2 (2019): 65–82. http://dx.doi.org/10.30631/mauizoh.v3i2.24.

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This research is motivated by the reality of media coverage in constructing political figures for mayoral candidates who campaign through these media. Through the media agenda setting theory, the author examines the SeruJambi.com media in reporting Syarif Fasha as one of the candidates for the Jambi Mayor's candidate in 2018. The analysis goes through three things, namely: message framing, use of words and objectivity. The research method used is interpretive qualitative by emphasizing written sources in the form of documenting the contents of Syarif Fasha's news on the online media SeruJambi.
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Lutz, Bernhard, Marc Adam, Stefan Feuerriegel, Nicolas Pröllochs, and Dirk Neumann. "Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing." Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (2024): 1–22. http://dx.doi.org/10.1145/3641030.

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Fake news on social media has large, negative implications for society. However, little is known about what linguistic cues make people fall for fake news and, hence, how to design effective countermeasures for social media. In this study, we seek to understand which linguistic cues make people fall for fake news. Linguistic cues (e.g., adverbs, personal pronouns, positive emotion words, negative emotion words) are important characteristics of any text and also affect how people process real vs. fake news. Specifically, we compare the role of linguistic cues across both cognitive processing (r
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Jeronimo, Caio L. M., Leandro B. Marinho, Cclaudio E. C. Carmpelo, Adriano Veloso, and Allan S. Da Costa Melo. "Characterization of Fake News Based on Subjectivity Lexicons." Journal of Data Intelligence 1, no. 4 (2020): 419–41. http://dx.doi.org/10.26421/jdi1.4-2.

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While many works investigate spread patterns of fake news in social networks, we focus on the textual content. Instead of relying on syntactic representations of documents (aka Bag of Words) as many works do, we seek more robust representations that may better differentiate fake from legitimate news. We propose to consider the subjectivity of news under the assumption that the subjectivity levels of legitimate and fake news are significantly different. For computing the subjectivity level of news, we rely on a set subjectivity lexicons for both Brazilian Portuguese and English languages. We th
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Zhai, Jiaxin, Shengxiang Gao, Zhengtao Yu, et al. "Keywords extraction in Chinese–Vietnamese bilingual news based on hypergraph." International Journal of Distributed Sensor Networks 14, no. 11 (2018): 155014771881110. http://dx.doi.org/10.1177/1550147718811107.

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The keywords extraction of bilingual news events in China and Vietnam has a very important role in understanding bilingual news events. It can quickly locate and briefly compare the news of the same events reported by the two countries. Chinese–Vietnam news texts are typically unstructured big data. How to extract the keywords that characterize the news in these unstructured data is the difficult problem of unstructured big data analysis. Bilingual documents are difficult to understand because bilingual Chinese and Vietnamese are not in the same language space. However, the hypergraph of the h
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Hsu, Wenhua. "Voice of America News as Voluminous Reading Material for Mid-frequency Vocabulary Learning." RELC Journal 50, no. 3 (2018): 408–21. http://dx.doi.org/10.1177/0033688218764460.

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Schmitt and Schmitt (2014) labelled the first 4,000 to 9,000 word families as mid-frequency vocabulary and highlighted its essential nature based on Nation’s (2006) estimate that knowledge of the first 9,000 word families would provide 98% coverage of various texts. To attain this goal, this study first measured the vocabulary level of Voice of America (VOA) news for its potential as voluminous reading material for mid-frequency vocabulary learning. Then it investigated how much VOA news input is needed to encounter most of the first 9,000 word families enough times for learning to occur. To g
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Saleh, Raja. "PERGESERAN MAKNA DALAM BERITA MOTOGP DI MEDIA DARING." tuahtalino 13, no. 1 (2019): 109. http://dx.doi.org/10.26499/tt.v13i1.1038.

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This research is focused on meaning shift in MotoGP news on bola.com online media. The purpose of this study is to identify the meaning shift and types of the shift found on the online media. The data were collected by note method about 2018 MotoGP race especially from September 3 to 17, 2018. The data were analyzed by descriptive qualitative in the following steps: 1) identifying words in which the meaning was shifted, 2) classifying data into six types of shift of meaning, 3) interpreting and explaining the shift of meaning. The research findings reveal that the meaning of 25 words in MotoGP
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Rizki, Dina Setya Nur, and Yuli Candrasari. "Analisis Framing Pemberitaan Film Dokumenter Dirty Vote Pemilu 2024 di Media Online iNews.id dan Viva.co.id." Jurnal Ilmiah Universitas Batanghari Jambi 24, no. 3 (2024): 2199. http://dx.doi.org/10.33087/jiubj.v24i3.5279.

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Reporting on online media in the political year creates momentum to highlight political interests. One of the news stories that is an important and current focus is the case of the dirty vote documentary film. The method that will be used in this research is framing analysis using the theoretical device model of Zhongdang Pan and Gerald M. Kosicki. The results of the research reveal that in writing news related to the dirty vote film on iNews.id and viva.co.id there are several differences and similarities in framing the news writing. In the syntactic aspect of the iNews.id media, writing fram
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Barath M, Sangeethkumar C, Naveen N, Karthickram S, and Partha Sarathi P. "WELFAKE – WORD EMBEDDING OVER LINGUISTIC FEATURES FOR FAKE NEWS DETECTION." international journal of engineering technology and management sciences 6, no. 6 (2022): 453–62. http://dx.doi.org/10.46647/ijetms.2022.v06i06.080.

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News is the only mode and set of information that helps the public to know what's happening everyday globally. We have started our path of reading news digitally, by which many "Fake news" are being circulated. Fake news is false or misleading information presented as news. Fake news often has the aim of damaging the reputation of a person or entity, or making money through advertising revenue. People unknowingly believe those fake news as original one without any analysis or study. Since the machine cannot read the words we use, we are going to use “ML model” to train our dataset to the machi
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Suprihatma, Suprihatma. "Analisis Penggunaan Bahasa Indonesia dalam Jurnalistik pada Media Massa Online." Journal on Education 6, no. 2 (2024): 11011–18. http://dx.doi.org/10.31004/joe.v6i2.4892.

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This writing aims to explain the use of Indonesian in journalism. Various news languages have their own characteristics which are called news language styles. Journalistic language is the language used by journalists (journalists) when writing news articles in the mass media. In practice, there are still some mass media that do not comply with linguistic rules in reporting. There are three possibilities that cause this: First, journalists lack knowledge and understanding of linguistic rules; secondly, journalists pay less attention to the use of good words. and appropriate language rules. Thir
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Piañar, Robertgie Laprodes. "Orthographic Nativization of Hispanic Content Words in Waray Visayan." JELITA: Journal of Education, Language Innovation, and Applied Linguistics 2, no. 1 (2023): 51–60. http://dx.doi.org/10.37058/jelita.v2i1.6435.

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This linguistic study investigates the orthographic nativization of Hispanic borrowed words in Waray Visayan written discourse. The textual source is a news article from Isumat News Portal written in Waray Visayan titled COVID Laboratory ha EVRMC magtitikang na an operasyon. Through a descriptive research method, the words are lexically analyzed as to content words, English equivalents, root words, Spanish equivalents, native affixes, and nativization processes. The analysis reveals that the Hispanic nouns, verbs, and adjectives borrowed by the Waray Visayan article are nativized through full
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Ng, Stanley, and Yunisa Oktavia. "Analisis Kesalahan Berbahasa Pada Surat Kabar Trinbun Batam." NIVEDANA : Jurnal Komunikasi dan Bahasa 2, no. 2 (2021): 98–106. http://dx.doi.org/10.53565/nivedana.v2i2.324.

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The problem in this study is an error in the Trinbun Batam newspaper in the form of errors in the use of words and errors in the use of punctuation. The object used in this study is the news contained in newspapers from Trinbun Batam on November 5, 2021 with newspaper number 51 Year XVII. The purpose of this study is to describe the language errors that exist in the Trinbun Batam newspaper in the form of errors in the use of words and errors in the use of punctuation marks; to provide corrections for errors in the use of punctuation marks and errors in the use of words and sentences. This type
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Fatimah, Siti. "Exploring Compound Words and Acronyms Used in Health Column of CNN International News." JELL (Journal of English Language and Literature) STIBA-IEC Jakarta 10, no. 01 (2025): 39–50. https://doi.org/10.37110/jell.v10i01.239.

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This research mainly aims to find out the types of compound words and acronyms found in CNN International news articles in the health column, which consists of 5 news articles. A descriptive qualitative method is used in this research to analyze the data. This research uses the theory from McCarthy (2002), regarding the types of compound words and the theory from Lieber (2009), regarding acronyms. The results of this research show that there are 3 types of compound words and their meanings consisting of compound verbs, compound adjectives, and compound nouns. Compound verb patterns: verb+verb,
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Zhang, Menghan. "Applications of Deep Learning in News Text Classification." Scientific Programming 2021 (August 5, 2021): 1–9. http://dx.doi.org/10.1155/2021/6095354.

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The advancement in technology is taking place with an accelerating pace across the globe. With the increasing expansion and technological advancement, a vast volume of text data are generated everyday, in the form of social media platform, websites, company data, healthcare data, and news. Indeed, it is a difficult task to extract intriguing patterns from the text data, such as opinions, summaries, and facts, having varying length. Because of the problems of the length of text data and the difficulty of feature value extraction in news, this paper proposes a news text classification method bas
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Khan, Muzammil, Sarwar Shah Khan, Yasser Alharbi, Ali Alferaidi, Talal Saad Alharbi, and Kusum Yadav. "The Role of Transliterated Words in Linking Bilingual News Articles in an Archive." Applied Sciences 13, no. 7 (2023): 4435. http://dx.doi.org/10.3390/app13074435.

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Retrieving a specific digital information object from a multi-lingual huge and evolving news archives is challenging and complicated against a user query. The processing becomes more difficult to understand and analyze when low-resourced and morphologically complex languages like Urdu and Arabic scripts are included in the archive. Computing similarity against a query and among news articles in huge and evolving collections may be inaccurate and time-consuming at run time. This paper introduces a Similarity Measure based on Transliteration Words (SMTW) from the English language in the Urdu scr
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Lwin, Soe Soe, and Khin Thandar Nwet. "Myanmar news summarization using different word representations." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 2285. http://dx.doi.org/10.11591/ijece.v11i3.pp2285-2292.

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There is enormous amount information available in different forms of sources and genres. In order to extract useful information from a massive amount of data, automatic mechanism is required. The text summarization systems assist with content reduction keeping the important information and filtering the non-important parts of the text. Good document representation is really important in text summarization to get relevant information. Bag-of-words cannot give word similarity on syntactic and semantic relationship. Word embedding can give good document representation to capture and encode the se
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Septiawan, Dicky, Nur Irwansyah, and Siti Jubei. "NON-STANDARD WORD WRITING IN POS KOTA NEWS TITLE." Hortatori : Jurnal Pendidikan Bahasa dan Sastra Indonesia 4, no. 2 (2021): 99–108. http://dx.doi.org/10.30998/jh.v4i2.527.

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Abstract: The habit of reading the newspaper by itself will be able to familiarize readers morefamiliar with the language of the newspaper. However, in fact in terms of the users of the languagein the newspaper classified as inadequate. The public seemed never ceased to demand thenewspaper to use the language normative and standard in the presentation of news. The purpose ofthis study is to know the writing of non-standard words in the title of the Pos Kota newspaper.Furthermore, it is expected to that many readers would know about non-standard words. Theresearch method used to analyze the wri
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