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Journal articles on the topic 'News'

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Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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1

Edgerly, Stephanie, and Emily K. Vraga. "Deciding What’s News: News-ness As an Audience Concept for the Hybrid Media Environment." Journalism & Mass Communication Quarterly 97, no. 2 (May 14, 2020): 416–34. http://dx.doi.org/10.1177/1077699020916808.

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A by-product of today’s hybrid media system is that genres—once uniformly defined and enforced—are now murky and contested. We develop the concept of news-ness, defined as the extent to which audiences characterize specific content as news, to capture how audiences understand and process media messages. In this article, we (a) ground the concept of news-ness within research on media genres, journalism practices, and audience studies, (b) develop a theoretical model that identifies the factors that influence news-ness and its outcomes, and (c) situate news-ness within discussions about fake news, partisan motivated reasoning, and comparative studies of media systems.

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JONES, EMMA. "News…News…News…News…News." Equine Veterinary Education 9, no. 3 (June 1997): 167. http://dx.doi.org/10.1111/j.2042-3292.1997.tb01298.x.

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3

WATSON, ELAINE. "News … News … News … News … News." Equine Veterinary Education 10, no. 1 (February 1998): 55–56. http://dx.doi.org/10.1111/j.2042-3292.1998.tb00848.x.

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HOPES, R. "News … News … News … News." Equine Veterinary Education 10, no. 2 (April 1998): 110–12. http://dx.doi.org/10.1111/j.2042-3292.1998.tb00860.x.

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5

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 (February 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 intended to determine the sentence's level of connectivity to the title in terms of both word-based and meaning-based similarity, primarily for news documents in Bahasa Indonesia. In this study, we present an alternative sentence weighting method by incorporating news features, POS tagging, and sentence relevance to the title. Sentence extraction based on news features, POS tagging, and sentence relevance is introduced to extract the representative sentences. The experiment results on the 11 groups of Indonesian news documents are compared with the news features scores with the grammatical information approach method (NeFGIS). The proposed method achieved better results. The increasing f-score rate of ROUGE-1, ROUGE-2, ROUGE-L, and ROUGE-SU4 sequentially are 1.84%, 3.03%, 3.85%, 2.08%.

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6

Yang, Min, Lin Zeng, Sheng-zhong Hou, Neng-wen Ke, Bo-le Tian, Xu-bao Liu, Bo Xiang, and Yi Zhang. "Clinical Features and Long-Term Survival of Metastatic Hepatic Neuroendocrine Neoplasms Secondary to Gastroenteropancreatic Site: An Analysis by Applying the Grading Classification." Journal of Oncology 2020 (September 15, 2020): 1–10. http://dx.doi.org/10.1155/2020/6572398.

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Background and Purpose. Neuroendocrine neoplasms occurring in the liver are very rare, in which metastatic hepatic neuroendocrine neoplasms [(MH)-NENs] secondary to gastroenteropancreatic NENs [(GEP)-NENs] account for their majority. The clinical features and long-term survival of (MH)-NENs secondary to (GEP)-NENs were not clear, especially for each grading group of G1 neuroendocrine tumors (NETs), G2 NETs, and G3 NETs and G3 neuroendocrine carcinomas (G3 NECs). Method. Data of patients who were surgically treated and clinicopathologically diagnosed as (MH)-NENs secondary to (GEP)-NENs at West China Hospital of Sichuan University from January 2006 to December 2018 were retrospectively collected and analyzed by the grading classification for (GEP)-NENs. Results. We identified 150 patients with (MH)-NENs secondary to (GEP)-NENs, including 10 patients with G1 NETs, 26 with G2 NETs, 33 with G3 NETs, and 81 with G3 NECs. There were significant differences between patients with G1/G2/G3 NETs and those with G3 NECs, such as age at diagnosis (P=0.041), synchronous liver lesion (P=0.032), incidental diagnosis (P=0.014), tumor largest diameter (P=0.047), vascular invasion (P=0.017), and extrahepatic metastatic disease (P=0.029). The estimated 3-year overall survival for patients with G1 NETs, G2 NETs, G3 NETs, and G3 NECs was 100%, 79.4%, 49.5%, and 20.7%, respectively (P<0.001). The survival of G1 NETs or G2 NETs was significantly better than that of G3 NETs (P=0.013, P=0.037, respectively) and G3 NECs (P=0.001, P<0.001; respectively). Patients with G3 NECs present notably worse survival than those with G3 NETs (P=0.012), while survival comparison between G1 NETs and G2 NETs was not statistically different (P=0.131). The grading classification for (GEP)-NENs was an effective independent predictor of survival for (MH)-NENs secondary to (GEP)-NENs (hazard ratio: 4.234; 95% confidence intervals: 1.984–6.763; P=0.003). Conclusion. Our demonstration revealed that the grading classification for (GEP)-NENs could well stratify (MH)-NENs secondary to (GEP)-NENs into prognostic groups and supported its wide use in clinical practice.

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7

Edgerly, Stephanie, and Emily K. Vraga. "News, entertainment, or both? Exploring audience perceptions of media genre in a hybrid media environment." Journalism 20, no. 6 (September 13, 2017): 807–26. http://dx.doi.org/10.1177/1464884917730709.

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This study uses two experimental designs to examine how audiences make genre assessments when encountering media content that blends elements of news and entertainment. Study 1 explores how audiences characterize three different versions of a fictitious political talk show program. Study 2 considers whether audience perceptions of ‘news-ness’ are influenced by shifts in headline angle and source attribution. The implications of audience definitions of news and its social function are discussed.

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8

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 (July 1, 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 kalimat. Kata-kata informatif yang terkandung pada kalimat dapat mengindikasikan bahwa kalimat tersebut penting. Penelitian ini bertujuan untuk melakukan pembobotan kalimat pada peringkasan multi-dokumen berita dengan pendekatan fitur berita dan informasi gramatikal (NeFGIS). Informasi gramatikal yang dibawa oleh part of speech tagging (POS Tagging) dapat menunjukkan adanya konten informatif. Pembobotan kalimat dengan pendekatan fitur berita dan informasi gramatikal diharapkan mampu memilih kalimat representatif secara lebih baik dan mampu meningkatkan kualitas hasil ringkasan. Pada penelitian ini terdapat 4 tahapan yang dilakukan antara lain seleksi berita, text preprocessing, sentence scoring, dan penyusunan ringkasan. Untuk mengukur hasil ringkasan menggunakan metode evaluasi Recall-Oriented Understudy for Gisting Evaluation (ROUGE) dengan empat varian fungsi yaitu ROUGE-1, ROUGE-2, ROUGE-L, dan ROUGE-SU4. Hasil ringkasan menggunakan metode yang diusulkan (NeFGIS) dibandingkan dengan hasil ringkasan menggunakan metode pembobotan dengan pendekatan fitur berita dan trending issue (NeFTIS). Metode NeFGIS memberikan hasil yang lebih baik dengan peningkatan nilai untuk fungsi recall pada ROUGE-1, ROUGE-2, ROUGE-L, dan ROUGE-SU4 secara berturut-turut adalah 20,37%, 33,33%, 1,85%, 23,14%. News Feature Scoring (NeFS) is a sentence weighting method that used to weight the sentences in document summarization based on news features. There are several news features including word frequency, sentence position, Term Frequency-Inverse Document Frequency (TF-IDF), and sentences resemblance to the title. The NeFS method is able to select important sentences by calculating the frequency of words and measuring the similarity of words between sentences and titles. However, NeFS weighting method is not enough, because the method ignores the informative word in the sentence. The informative words contained in the sentence can indicate that the sentence is important. This study aims to weight the sentence in news multi-document summarization with news feature and grammatical information approach (NeFGIS). Grammatical information carried by part of speech tagging (POS Tagging) can indicate the presence of informative content. Sentence weighting with news features and grammatical information approach is expected to be able to determine sentence representatives better and be able to improve the quality of the summary results. In this study, there are 4 stages that are carried out including news selection, text preprocessing, sentence scoring, and compilation of summaries. Recall-Oriented Understanding for Gisting Evaluation (ROUGE) is used to measure the summary results with four variants of function; ROUGE-1, ROUGE-2, ROUGE-L, and ROUGE-SU4. Summary results using the proposed method (NeFGIS) are compared with summary results using sentence weighting methods with news feature and trending issue approach (NeFTIS). The NeFGIS method provides better results with increased value for recall functions in ROUGE-1, ROUGE-2, ROUGE-L, and ROUGE-SU4 respectively 20.37%, 33.33%, 1.85%, 23.14%.

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9

CACM staff. "News/SIG news/General News." Communications of the ACM 32, no. 2 (February 1989): 267–74. http://dx.doi.org/10.1145/63342.1071219.

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10

Vitanov, Nikolay K., Zlatinka I. Dimitrova, and Kaloyan N. Vitanov. "News Waves: Hard News, Soft News, Fake News, Rumors, News Wavetrains." Entropy 26, no. 1 (December 19, 2023): 5. http://dx.doi.org/10.3390/e26010005.

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We discuss the spread of a piece of news in a population. This is modeled by SIR model of epidemic spread. The model can be reduced to a nonlinear differential equation for the number of people affected by the news of interest. The differential equation has an exponential nonlinearity and it can be approximated by a sequence of nonlinear differential equations with polynomial nonlinearities. Exact solutions to these equations can be obtained by the Simple Equations Method (SEsM). Some of these exact solutions can be used to model a class of waves associated with the spread of the news in a population. The presence of exact solutions allow to study in detail the dependence of the amplitude and the time horizon of the news waves on the wave parameters, such as the size of the population, initial number of spreaders of the piece of the news, transmission rate, and recovery rate. This allows for recommendations about the change of wave parameters in order to achieve a large amplitude or appropriate time horizon of the news wave. We discuss five types of news waves on the basis of the values of the transmission rate and recovery rate—types A, B, C, D, and E of news waves. In addition, we discuss the possibility of building wavetrains by news waves. There are three possible kinds of wavetrains with respect of the amplitude of the wave: increasing wavetrain, decreasing wavetrain, and mixed wavetrain. The increasing wavetrain is especially interesting, as it is connected to an increasing amplitude of the news wave with respect to the amplitude of the previous wave of the wavetrain. It can find applications in advertising, propaganda, etc.

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11

Ramage, John K., Juan W. Valle, Els J. M. Nieveen van Dijkum, Anders Sundin, Andreas Pascher, Anne Couvelard, and Guenter Kloeppel. "Colorectal Neuroendocrine Neoplasms: Areas of Unmet Need." Neuroendocrinology 108, no. 1 (September 16, 2018): 45–53. http://dx.doi.org/10.1159/000493767.

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The subject of colorectal neuroendocrine neoplasms (NENs), subdivided into well-differentiated NENs, termed neuroendocrine tumours (NETs; grade (G) 1 and 2), and poorly differentiated NENs, termed neuroendocrine carcinomas (NECs; G3) according to the 2010 World Health Organisation (WHO) classification, has arguably not had as much attention or study as NENs occurring in other sites. Colorectal NETs and NECs are however easier to study than many others since they are usually not difficult to remove and are increasingly detected because of intensified colorectal cancer screening and surveillance programmes. Colorectal NETs and NECs show site-specific heterogeneity with variable behaviour and different therapeutic options; these various aspects provide unique challenges. Because of bowel cancer screening programmes, colorectal NENs, like conventional adenocarcinomas, may be diagnosed at a stage that is associated with improved survival. In this article we intend to describe and define areas of unmet needs relating to the epidemiology, classification, pathology, diagnosis and therapy of colorectal NETs (including NETs G3), colorectal NECs, and finally, mixed adeno-neuroendocrine carcinomas (MANECs) by reviewing and discussing the relevant literature.

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12

Tsang, Erica, Caroline Speers, and Hagen F. Kennecke. "Treatment and outcomes of neuroendocrine malignancies (NEMs) of the rectum." Journal of Clinical Oncology 32, no. 3_suppl (January 20, 2014): 594. http://dx.doi.org/10.1200/jco.2014.32.3_suppl.594.

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594 Background: NEMs of the rectum are rare and standard therapy is not well defined. We sought to characterize the clinicopathologic features, locoregional, and systemic management of a series of rectal NEMs and correlated these with outcomes. Methods: Patients referred to the BC Cancer Agency with rectal NEMs between 2005-2011 were included. Well-differentiated tumors with a Ki67 ≤20% and/or mitotic count ≤ 20 per high power field were classified as neuroendocrine tumors (NETs) while poorly differentiated tumors with higher Ki67 and/or mitotic count were classified as neuroendocrine carcinomas (NECs). Results: Of 28 NEMs, 18 (64%) NETs, and 9 (36%) NECs were identified with a median age of 56 and 59, respectively. Of 15 patients with stage I-III NETs, 13 underwent local excision, 2 had a surgical resection and none received pelvic radiation. Univariate analysis demonstrated an association between tumor size (< 1cm, 1-2 cm, > 2cm) and T stage (χ2 = 10.7, p = 0.03). One of 15 NETs developed distant relapse 8.9 months after surgical resection of a T1bN1 tumor. Of 9 NECs, only 2 presented with stage I-III tumors and were treated with radiation (1) or surgery (1). One patient developed distant relapse 4.8 months after radiation. Among all NEMs, liver was the most common site of metastasis (n = 10) followed by bone (n = 3). Median overall survival was 46.5 and 4.8 months for NETs and NECs (p < 0.01), respectively. Conclusions: Rectal NEMs comprise a rare subgroup of rectal tumors and may be classified as NETs or NECs. NETs generally present with early stage disease and are associated with good outcomes with local excision and without pelvic radiation. Rectal NECs frequently present with advanced disease and are associated with poor outcomes.

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13

Edgerly, Stephanie, and Emily K. Vraga. "That’s Not News: Audience Perceptions of “News-ness” and Why It Matters." Mass Communication and Society 23, no. 5 (March 23, 2020): 730–54. http://dx.doi.org/10.1080/15205436.2020.1729383.

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14

Stern, Cindy. "NEWS: Nursing news." International Journal of Nursing Practice 16, no. 4 (July 22, 2010): 419–20. http://dx.doi.org/10.1111/j.1440-172x.2010.01864.x.

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Stern, Cindy. "NEWS: Nursing News." International Journal of Nursing Practice 16, no. 6 (December 2010): 640–41. http://dx.doi.org/10.1111/j.1440-172x.2010.01893.x.

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Sumpter, Randall S. "News about News." Journalism History 27, no. 2 (July 2001): 64–72. http://dx.doi.org/10.1080/00947679.2001.12062572.

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L. Onita. "News Briefing: News." Engineering & Technology 10, no. 3 (April 1, 2015): 8. http://dx.doi.org/10.1049/et.2015.0334.

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K. Moskvitch. "News Briefing - News." Engineering & Technology 10, no. 5 (June 1, 2015): 8. http://dx.doi.org/10.1049/et.2015.0516.

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Pultarova, T. "News Briefing: News." Engineering & Technology 10, no. 7 (August 1, 2015): 8. http://dx.doi.org/10.1049/et.2015.0703.

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Pultarova, T. "News Briefing: News." Engineering & Technology 10, no. 9 (October 1, 2015): 8. http://dx.doi.org/10.1049/et.2015.0903.

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Loughlan, J. "News Briefing: News." Engineering & Technology 10, no. 10 (November 1, 2015): 8. http://dx.doi.org/10.1049/et.2015.1014.

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Loughlan, J. "News Briefing: News." Engineering & Technology 10, no. 11 (December 1, 2015): 8. http://dx.doi.org/10.1049/et.2015.1117.

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Wilson, J. "News Briefing: News." Engineering & Technology 11, no. 1 (February 1, 2016): 8. http://dx.doi.org/10.1049/et.2016.0113.

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Pultarova, T. "News Briefing: News." Engineering & Technology 11, no. 2 (March 1, 2016): 5. http://dx.doi.org/10.1049/et.2016.0211.

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Edmonds, Rick. "News Staffing, News Budgets and News Capacity." Newspaper Research Journal 25, no. 1 (January 2004): 98–109. http://dx.doi.org/10.1177/073953290402500108.

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26

Buschman, John. "Good news, bad news, and fake news." Journal of Documentation 75, no. 1 (January 14, 2019): 213–28. http://dx.doi.org/10.1108/jd-05-2018-0074.

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PurposeLibrary and Information Science (LIS) has seen an explosion of responses to fake news in the aftermath of the 2016 US election, political in nature, eschewing “neutrality” supporting democracy. The purpose of this paper is to trace the definition of fake news, the challenges, the roots of recent respondes to fake news, notes that the theoretical understanding of democracy must keep pace with these efforts.Design/methodology/approachConceptual analysis of the LIS literature concerning fake news and its underlying themes; unpacking of actually existing democracy, re-linked to LIS practices.FindingsDemocracy does not require a space cleared of distorting claims but spaces suited to grappling with them, a call to address fake news, and not simply a matter of clearing up information sources; librarians should prepared to engage at the next level. Libraries stand for the proposition that there is more-true information which is worth accessing, organizing, etc., and for inclusion. Whether explicitly political or not, the imaginative uses to which libraries are put do enrich civil society and the public sphere. Libraries help to counter fake news both through specific educative actions aimed at it and as broadly educative institutions with a coherent notion of their relationship to informational discernment in democracy.Originality/valueLIS discourse on fake news has value, and references democracy, but assumes a set of traditional relationships between informing, libraries and democracy. This paper goes at both the lesser role of informing and highlights the (arguably) greater social role of libraries in democratic society.

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Palmer, Bob. "Bad news, good news and complicated news." European Eating Disorders Review 15, no. 6 (2007): 490. http://dx.doi.org/10.1002/erv.827.

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Harmon, Maurice, Declan Kiberd, Robert O'Byrne, Fintan Cullen, and Diarmaid Ó. Muirithe. "News That Stays News." Books Ireland, no. 237 (2001): 15. http://dx.doi.org/10.2307/20632251.

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Aptheker, Bettina, Deborah Abbott, Ellen Farmer, and Linnea Due. "Good News, Bad News." Women's Review of Books 13, no. 6 (March 1996): 16. http://dx.doi.org/10.2307/4022408.

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&NA;. "News in the news." Inpharma Weekly &NA;, no. 976 (March 1995): 7. http://dx.doi.org/10.2165/00128413-199509760-00010.

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Pearson, Teresa. "Good News, Bad News." AADE in Practice 3, no. 4 (June 19, 2015): 8–10. http://dx.doi.org/10.1177/2325160315590578.

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Baer, Charold L. "Good news, bad news!" Critical Care Medicine 29, no. 12 (December 2001): 2391–92. http://dx.doi.org/10.1097/00003246-200112000-00028.

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Hirschberg, Karen. "NEBS Meeting News." Rhodora 124, no. 997 (April 5, 2023). http://dx.doi.org/10.3119/0035-4902-124.997.106.

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Hirschberg, Karen. "NEBS Meeting News." Rhodora 124, no. 1000 (April 25, 2024). http://dx.doi.org/10.3119/0035-4902-124.1000.456.

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Hirschberg, Karen. "NEBS Meeting News." Rhodora 125, no. 1001 (June 28, 2024). http://dx.doi.org/10.3119/0035-4902-125.1001.99.

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"News…News…News…News…News." Equine Veterinary Education 9, no. 1 (February 1997): 51–55. http://dx.doi.org/10.1111/j.2042-3292.1997.tb01276.x.

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"News…News…News…News…News." Equine Veterinary Education 9, no. 2 (April 1997): 110–12. http://dx.doi.org/10.1111/j.2042-3292.1997.tb01287.x.

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"News…News…News…News…News." Equine Veterinary Education 9, no. 4 (August 1997): 223–24. http://dx.doi.org/10.1111/j.2042-3292.1997.tb01311.x.

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"News … News … News … News … News." Equine Veterinary Education 9, no. 5 (October 1997): 278–79. http://dx.doi.org/10.1111/j.2042-3292.1997.tb01324.x.

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"News…News…News…News…News." Equine Veterinary Education 10, no. 5 (October 1998): 270. http://dx.doi.org/10.1111/j.2042-3292.1998.tb00892.x.

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"News…News…News…News…News." Equine Veterinary Education 11, no. 1 (February 1999): 39–40. http://dx.doi.org/10.1111/j.2042-3292.1999.tb00917.x.

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"News…News…News…News…News." Equine Veterinary Education 11, no. 5 (October 1999): 233. http://dx.doi.org/10.1111/j.2042-3292.1999.tb00954.x.

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"News … News … News … News …" Equine Veterinary Education 10, no. 3 (June 1998): 140. http://dx.doi.org/10.1111/j.2042-3292.1998.tb00866.x.

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"News … News … News … News …" Equine Veterinary Education 10, no. 4 (August 1998): 224. http://dx.doi.org/10.1111/j.2042-3292.1998.tb00881.x.

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Swart, Joëlle, and Marcel Broersma. "What feels like news? Young people’s perceptions of news on Instagram." Journalism, November 2, 2023. http://dx.doi.org/10.1177/14648849231212737.

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What do young people consider “news”? Now that news is dislocated from dedicated outlets of news organizations, it has become increasingly difficult to distinguish from other cultural forms, including entertainment, advertising and misinformation. Especially on visual social media, where many different forms, topics and tones circulate, so-called “news feeds” offer blends of content that only partially match traditional journalistic conceptualizations. This paper advances current conceptual debates around news(-ness), by going beyond what is culturally accepted and cognitively recognized as news. We make an argument for the importance of capturing young people’s affective and tacit understandings of news, by analyzing what feels like news to them on Instagram. These judgments matter because what users understand as news or non-news also affects their assessments of trustworthiness and reliability. Drawing upon a three-wave study (2020-2022) employing in-depth interviews with and walk-throughs of the Instagram feeds of N = 111 Dutch smartphone users (aged 16-25), we find that while young people are strongly aware of societal norms around what news is or should be, these cognitive understandings do not necessarily align with what they experience as news(-like) within their everyday practices. Although some users do employ traditional journalistic conceptualizations of news, others negotiate or challenge such definitions through processes of compartmentalization, homogenization or reconceptualization, to mitigate tensions between what they cognitively recognize versus what they affectively perceive as news. Consequently, we argue that more inclusive epistemological approaches are needed to comprehend young people’s shifting experiences of news and conceptualize news from an audience perspective.

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"News…news…news." European Journal of Cancer 38, no. 12 (August 2002): 1555–59. http://dx.doi.org/10.1016/s0959-8049(02)00245-9.

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"News...News...News." European Journal of Cancer 39, no. 4 (March 2003): 407–11. http://dx.doi.org/10.1016/s0959-8049(03)00058-3.

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"News. . .news. . .news." European Journal of Cancer 39, no. 5 (March 2003): 551–55. http://dx.doi.org/10.1016/s0959-8049(03)00125-4.

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"News. . .news. . .news." European Journal of Cancer 39, no. 6 (April 2003): 709–13. http://dx.doi.org/10.1016/s0959-8049(03)00176-x.

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"News. . .news. . .news." European Journal of Cancer 39, no. 7 (May 2003): 851–55. http://dx.doi.org/10.1016/s0959-8049(03)00240-5.

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