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1

Bednarek, Monika, and Helen Caple. "‘Value added’: Language, image and news values." Discourse, Context & Media 1, no. 2-3 (June 2012): 103–13. http://dx.doi.org/10.1016/j.dcm.2012.05.006.

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2

Hunt, Robin. "News, information and value." Aslib Proceedings 50, no. 8 (August 1998): 215–20. http://dx.doi.org/10.1108/eb051499.

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Li, Pingyan, Mengxiao Chen, and Jianxin Yang. "Discursive Construction of News Values in the Headline." International Journal of Translation, Interpretation, and Applied Linguistics 1, no. 1 (January 2019): 17–30. http://dx.doi.org/10.4018/ijtial.2019010102.

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The paper makes a discursive analysis of the news value construction in the headlines of new media news. The data chosen is 59 news headlines on coverage of Zimbabwe Crisis released in the apps of BBC from November 6th to November 18th 2017. The data indicates a chronological variance of the news values in the headlines. Specifically, eliteness and negativity are values constantly occurring in the headlines throughout the crisis report. The value of positivity appears only at the final stage of the news coverage. The value of timeliness emerges at the final four days of the news coverage. The value of suspense appears at the middle stage of the event. The value of proximity is employed when the detention just occurred. In terms of the linguistic realization of those news values, the study finds that the frequent use of some words contributed to the realization of news values. This study is important in that it reveals how language resources are used by newsmakers to construct news value in the headlines and how news values are realized in the context of communication.
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Fadli, Rohmad. "Nilai-Nilai Jurnalistik Islami dalam Surat Kabar Harian Bengkulu Ekspress." Jurnal Askopis 2, no. 1 (March 30, 2018): 57–66. http://dx.doi.org/10.32494/ja.v2i1.39.

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Daily Newspaper “Bengkulu Express” is the largest daily newspaper in the province of Bengkulu. In this research the newspaper “Bengkulu Ekspress” is analyzed by seeing Islamic Journalistic values consisting of 1) A Journalist must be truthful, 2) Thoughtful and full of good advice, 3)Tabyyun, 4) Not insulting, mocking, and ridiculing, 5) Avoid Suuzhan. The result of this qualitative descriptive study with type of research library research shows 58 news is applying Islamic Journalistic values; 53 news is about politic and 5 news is about socio religious. From those politic news edition June, July, and August occurred 9 news were applying the Islamic Journalistic value; A Journalist must be truthful, 19 news were applying the value; Thoughtful and full of good advice, 8 news were about value; Tabyyun, 4 news were adjusting the value; Not insulting, mocking, and ridiculing, also 13 news were about value; Avoid Suuzhan. The last 5 news about socio religious edition June; 4 news were found the value; Thoughtful and full of good advice, and 1 news was about the value; Not insulting, mocking, and ridiculing.
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5

He, Juan. "“Why attacking the Bureau of Industry and Commerce?”: news value flow to news comments on Chinese social media." Media, Culture & Society 43, no. 4 (March 24, 2021): 733–49. http://dx.doi.org/10.1177/0163443721994433.

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Comments on social media provide a suitable site to view text-reader relations from the perspective of news reading. This article interrogates readers’ evaluative responses to Weibo shared news in China. The study, drawing upon Discursive News Values Analysis and appraisal, first identifies the news values of Eliteness, Personalization, Negativity and Positivity in a news story about car quality sourced from the Weibo network of People’s Daily. Then the following 1027 comments, including Chinese characters and emojis, are investigated by using a mixed-methods approach. The corpus analysis shows that business Eliteness (the Mercedes dealership) and Personalization (the buyer) are convergently valued news actors, while readers evaluate authoritative Eliteness (the Bureau) in an unexpected way. Close examination of the appraisal devices in the comments uncovers a divergence between negative judgment toward Eliteness and positive affect/judgment for Personalization. Emojis play an important role in activating attitudes through the interplay with language. In commentary journalism, the readers’ response can influence news value decisions when there is a mismatch between the news values promoted by news organizations and the values that readers perceive as newsworthy.
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Yang, Guolan, and Douglas F. Cannon. "Proximity prominent news value for online publication." Newspaper Research Journal 38, no. 2 (June 2017): 259–70. http://dx.doi.org/10.1177/0739532917716447.

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This case study examines how editors select stories for a Chinese-language publication’s WeChat public account. Results of a content analysis between May and August 2014 indicate that editors do not strictly rely on established news values to select WeChat stories. News categories better predict story decisions. Furthermore, news-category priorities identified in interviews with editors closely match what readers want to see.
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7

Davis, Hank, and S. Lyndsay McLeod. "Why humans value sensational news." Evolution and Human Behavior 24, no. 3 (May 2003): 208–16. http://dx.doi.org/10.1016/s1090-5138(03)00012-6.

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8

Beaudoin, Christopher E., and Esther Thorson. "Value Representations in Foreign News." Gazette (Leiden, Netherlands) 63, no. 6 (December 2001): 481–503. http://dx.doi.org/10.1177/0016549201063006002.

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9

Leung, Dennis K. K., and Francis L. F. Lee. "How Journalists value Positive News." Journalism Studies 16, no. 2 (January 2, 2014): 289–304. http://dx.doi.org/10.1080/1461670x.2013.869062.

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10

Dunn, Donald. "Adding value [Education Department News]." IEEE Industry Applications Magazine 13, no. 1 (2007): 12. http://dx.doi.org/10.1109/mia.2007.265798.

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11

van der Wall, E. E. "GENDER issues: media news value?" Netherlands Heart Journal 18, no. 7 (July 2010): 343. http://dx.doi.org/10.1007/bf03091787.

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12

Parks, Perry. "Joy is a News Value." Journalism Studies 22, no. 6 (April 26, 2021): 820–38. http://dx.doi.org/10.1080/1461670x.2020.1807395.

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13

ZHANG, Yu, Zhuo WU, and Yuhua HE. "Discuss on British News Value." Creativity and Innovation 4, no. 3 (2020): 147–51. http://dx.doi.org/10.47297/wspciwsp2516-252723.20200403.

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14

Pérez, Andrea, Carlos López-Gutiérrez, and María del Mar García de los Salmones. "Do all CSR news affect market value equally?" Social Responsibility Journal 16, no. 8 (August 9, 2019): 1107–23. http://dx.doi.org/10.1108/srj-03-2019-0116.

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Purpose The purpose of this study explores the effects that media coverage of corporate social responsibility (CSR) news related to primary stakeholders (e.g. customers, employees and investors) and secondary stakeholders (e.g. community) have on the market value of companies, measured as the impact generated in the positive and negative abnormal returns for those companies. Design/methodology/approach Using a sample of 195 online papers published in the most important Spanish business newspaper during 2015, the authors implement an event study and a regression analysis that confirm the importance of CSR news for corporate financial goals. Findings The findings show that negative CSR news related to primary stakeholders such as investors and customers generate significant abnormal returns for companies that are notably larger than the abnormal returns generated by secondary stakeholders (e.g. community). Similarly, positive news related to primary stakeholders such as employees are the only positive news that affect market reactions significantly. Originality/value The study provides an empirical analysis that clarifies how media coverage of different types of CSR news affect the market value of companies. In doing so, the paper contributes to previous literature significantly because scant research exists that has compared the differential effects of CSR news focused on primary and secondary stakeholders. The findings are discussed under the premises of the managerial perspective of stakeholder theory.
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Seok, Junhee, Youseok Lee, and Byung-Do Kim. "Impact of CSR news reports on firm value." Asia Pacific Journal of Marketing and Logistics 32, no. 3 (February 1, 2020): 644–63. http://dx.doi.org/10.1108/apjml-06-2019-0352.

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PurposeThis study clarifies the relationship between corporate social responsibility (CSR) news reports and firm value and identifies the mechanisms that constitute this relationship. Specifically, it identifies the roles of word of mouth (WOM) and traditional advertising in this relationship.Design/methodology/approachThe data set used for the analysis covers 77 firms in Korea from 2012 to 2015. The random-effects model is applied to verify three hypotheses. Using a three-step regression analysis and the Sobel test, this study reveals the roles of WOM and advertising expenditure in the relationship between CSR news reports and firm value.FindingsCSR news reports positively affect firm value, and this relationship is mediated by WOM and moderated by advertising expenditure. Notably, the positive effect of WOM on firm value is stronger for companies that spend less on advertising.Practical implicationsThe evidence implies that marketing managers could benefit from not only conducting CSR activities but also widely publicizing them. CSR news reports could help companies enhance public awareness of and interest in them.Originality/valueThis is the first study to investigate the influence of CSR news reports using empirical data in Korea.
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16

Zhang, Di. "News Communication Value Evaluation Algorithm Based on Deep Neural Network." Wireless Communications and Mobile Computing 2022 (January 24, 2022): 1–9. http://dx.doi.org/10.1155/2022/8684509.

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The evaluation of the value of news communication is an area that deserves more attention, but there has been a dearth of specific research in this area. We must first determine the positioning of the news dissemination activity in order to study the mechanism for evaluating the effect of news dissemination. Fundamentally, assessing the impact of news dissemination is a dialectical balance of accuracy and effectiveness. I can conduct research from the three dimensions of policy orientation, communication orientation, and audience orientation and scientifically evaluate the effect of news communication on a qualitative and quantitative basis, based on the main body of the publisher. With only a small amount of labelled data, a high-quality news propagation value evaluation can be achieved. The value is rationally searched in the era of algorithm recommendation. The traditional “personalised recommendation algorithm” caters to the audience’s interests in one direction, with the goal of gaining their attention and commercial success. The “personalised recommendation algorithm” primarily uses statistical methods in the processing of news information, such as user’s basic information and behaviour information, and does not investigate the attributes and functions of news facts or the quality of news information itself. The research proposed in this paper suggests attempting to design an algorithm based on “news value.” First, it is based on the premise of a rational and caring “public person” who is concerned about the public interest, as well as professional journalistic news selection criteria. “News value” is a theoretical foundation for algorithm design that considers not only the publicity of news but also the audience’s interests. More importantly, this type of algorithm is designed to judge the quality and value of information based on how well the information is understood and then make a decision, returning to the essence of news facts and information.
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17

Lischka, Juliane A., Julian Stressig, and Fabienne Bünzli. "News about newspaper advertisers: To what extent can corporate advertising budgets predict editorial uptake and coverage of corporate press releases?" Journalism 18, no. 10 (September 26, 2016): 1397–414. http://dx.doi.org/10.1177/1464884916671157.

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News value theory aims to predict a story’s chance of being selected for publication based on news factors and ascribed news values. News values can also predict the coverage of corporate press releases. For news decisions, a newspaper’s revenue model may force editors to consider whether the source of a press release is an advertising client, despite the ‘separation of church and state’. In addition, for business journalism, corporate press releases have become an increasingly important news source. This study combines news values and advertiser weight to predict news coverage of press releases of banks in the news of partly and fully advertising-funded newspapers in Switzerland. Results show that advertiser importance can explain press release coverage concerning article length and tone in few cases, but has no universal news value. Public relations material is also not used as editorial subsidy for news. Larger companies are more successful in terms of press release uptake. However, their articles consist of a greater share of non-public relations material. Thus, our findings confirm editorial independence instead of copy-paste or obsequious journalism.
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18

Wenzel, Corinna, Sergio Sparviero, and Josef Trappel. "The social value of news organizations." Relation 1 (2019): 163–79. http://dx.doi.org/10.1553/relation5s163.

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19

Arakkal, Lesley. "The Value of Volunteering [Chapter News]." IEEE Industry Applications Magazine 27, no. 5 (September 2021): 65–66. http://dx.doi.org/10.1109/mias.2021.3086969.

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20

Hameed Al-Hindawi, Fareed, and Hussein Huwail Ghayadh. "Topicality as War News Value: A Pragma – Linguistic Study." International Journal of Applied Linguistics and English Literature 6, no. 5 (July 6, 2017): 279. http://dx.doi.org/10.7575/aiac.ijalel.v.6n.5p.279.

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This paper discusses one of the criteria of war news values in printed media. The current study concerns itself with only Topicality as the target of scrutiny. It explores this value through the application of a model of analysis based on a pragma-linguistic approach. The analysis is intended to achieve the following aims: first, bringing topicality as one criterion of news values to the attention of pragmatists; second, introducing an analytical framework which is hoped to be useful for pragmatists to analyze news values, and to be available in their hands for further development. This framework aims at explicitly revealing the linguistic as well as the pragmatic properties of the war news texts as far as topicality is concerned. In relation to the aims of the study and owing to the fact that people are eager to understand what is going on, it is hypothesized that topicality comes into viewable interaction between grammar and pragmatics. The findings of the data analysis indicate how topicality is transferred to the receiver of the message and how it shapes news reporting.
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21

Bednarek, Monika. "Investigating evaluation and news values in news items that are shared through social media." Corpora 11, no. 2 (August 2016): 227–57. http://dx.doi.org/10.3366/cor.2016.0093.

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The sharing of news through social media platforms is now a significant part of mainstream online media use and is an increasingly important consideration in journalism practice and production. This paper analyses the linguistic characteristics of online news sharing on Facebook, with a focus on evaluation and news values in a corpus of the 100 ‘most shared’ news items from ‘heritage’ English-language news media organisations. Analyses combine corpus linguistic techniques (semantic tagging, frequency analysis, concordancing) with manual, computer-aided annotation. The main focus is on discursive news values analysis (DNVA), which examines how news values are established through semiotic resources, enabling new empirical insights into shared news and adding a specific linguistic focus to the emerging literature on news sharing. Results suggest that all ‘traditional’ news values appear to be construed in the shared news corpus and that there is variety in terms of the items that are widely shared. At the same time, the news values of Eliteness, Superlativeness, Unexpectedness, Negativity and Timeliness seem especially important in the corpus. The findings also indicate that ‘unexpected’ and ‘affective’ news items may be shared more, and that Negativity is a more important news value than Positivity.
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Lee, Jun-De, Yi-Hsien Wang, Ching-Wen Lin, and Hsin-Ham Lin. "INFORMATION VALUE OF PATENT LITIGATION AND INDUSTRY COMPETITION IN TAIWAN." Technological and Economic Development of Economy 19, no. 4 (December 12, 2013): 593–605. http://dx.doi.org/10.3846/20294913.2013.837109.

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Internationally, news on patent infringement is often seen, and patent infringement law-suits affect stock prices. However, fewer studies have discussed how market reflects corporate value and impact of patent infringement lawsuit on investment returns when a patent infringement lawsuit occurs and the news is released. This study applied event study to discuss changes in information value of plaintiffs and defendants, and information value difference of different patent lawsuit sources in competitive environment. The empirical results showed that patent infringement lawsuits may cause negative perception of investors or insider shareholders. This event may become an arbitrage opportunity. Through five forces analysis, the lawsuits from various sources are bad news. Reverse correction is conducted after the event, and makes stock price rational. Thus, in Taiwan market, patent infringement lawsuit is negative news for plaintiff and defendant.
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Lee, Jisun, and Jaehoon Chun. "Analysis of Fashion News Based on News Value Assessment Criteria-Focused on Online Fashion News-." Journal of the Korean Society of Clothing and Textiles 45, no. 2 (April 30, 2021): 285–304. http://dx.doi.org/10.5850/jksct.2021.45.2.285.

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Drazen, Allan, and Plutarchos Sakellaris. "News About News: Information Arrival and Irreversible Investment." Macroeconomic Dynamics 3, no. 3 (September 1999): 451–62. http://dx.doi.org/10.1017/s1365100599012079.

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We analyze how uncertainty about when information about future returns to a project may be revealed affects investment. Whereas good news about future returns boosts investment, good news about news (that is, news that information may arrive sooner) is shown to depress investment. We show that early revelation increases the value of an irreversible investment project to a risk-neutral investor. Our framework allows us to study irreversible investment projects whose value has a time-variable volatility. We also consider how heterogeneity of revelation information across firms may induce a better-informed firm to share its information with competitors.
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Rasyid, Abd, and Haidir Fitra Siagian. "News Value and Reality: A Case Study." Jurnal Komunikasi, Malaysian Journal of Communication 33, no. 3 (September 27, 2017): 55–69. http://dx.doi.org/10.17576/jkmjc-2017-3303-04.

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Shin, H. S. "News Management and the Value of Firms." RAND Journal of Economics 25, no. 1 (1994): 58. http://dx.doi.org/10.2307/2555853.

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Dalton-Beninato, Karen. "Critical Value Notifications Are Never Welcome News." Laboratory Medicine 31, no. 6 (June 2000): 319–23. http://dx.doi.org/10.1309/fgck-6n42-tgpr-uxhk.

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Abbarno, John M. "The value of collaborating on the news." Journal of Value Inquiry 25, no. 3 (July 1991): 201–2. http://dx.doi.org/10.1007/bf00136657.

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Jacobs, Geert, and Els Tobback. "IS LANGUAGE A NEWS VALUE IN BELGIUM?" Journalism Studies 14, no. 3 (June 2013): 407–22. http://dx.doi.org/10.1080/1461670x.2012.699345.

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Williams, Andy, Dave Harte, and Jerome Turner. "The Value of UK Hyperlocal Community News." Digital Journalism 3, no. 5 (October 17, 2014): 680–703. http://dx.doi.org/10.1080/21670811.2014.965932.

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Larsen, Vegard H., and Leif A. Thorsrud. "The value of news for economic developments." Journal of Econometrics 210, no. 1 (May 2019): 203–18. http://dx.doi.org/10.1016/j.jeconom.2018.11.013.

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32

Andrews, Angela, Pradyot Sen, and Jens Stephan. "Analysts’ forecasts and uncertainty about firm value." Review of Accounting and Finance 17, no. 3 (August 13, 2018): 298–315. http://dx.doi.org/10.1108/raf-09-2016-0146.

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Purpose The purpose of this study is to use implied volatilities from exchange traded options to examine the interaction between analysts’ forecast revisions and the market’s perception of uncertainty about firm value. Design/methodology/approach The authors examine how characteristics of individual forecast revisions, e.g. news and changes in dispersion of forecasts, affect changes in implied volatilities, whether analysts use the observable changes in implied volatilities to inform their forecast revisions and whether changes in dispersion of forecasts are correlated with changes in implied volatilities. Findings The authors find that good (bad) news forecast revisions reduce (increase) investors’ perception of uncertainty about firm value, analysts do not appear to use changes in implied volatilities to shade their forecast revisions to good/bad news and dispersion of forecasts are a reasonable proxy for uncertainty about firm value as indicated by their correlation with implied volatilities. Originality/value Recent research on analysts’ forecast revisions and management forecasts has focused on risk perception rather than value. This paper extends this work with a risk metric based on market transactions in both a short and long window analysis, as well as univariate and multivariate analysis.
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Corcoran, Mary P. "The Political Preferences and Value Orientations of Irish Journalists." Irish Journal of Sociology 13, no. 2 (November 2004): 23–42. http://dx.doi.org/10.1177/079160350401300203.

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There is a dearth of sociologically informed literature on Irish journalists. In her seminal paper, Kelly (1983) laid out the factors influencing the production of news in a general context, acknowledging in her analysis the limited range of research on the Irish media. She highlighted the ideological and personal preferences of journalists on the one hand, and their professional values and practices on the other as key determinants of the news agenda. However, to date no systematic study of Irish journalists has addressed these twin concerns. Drawing on data obtained from a national survey of daily news journalists in the Republic of Ireland conducted in the late 1990s, this paper offers some insight into the class position, political orientation and value system of a key group of ‘meaning producers' in Irish society. In particular, the article seeks to provide insight into the professional culture of Irish journalists and their views on the relationship between the messenger, the message and the audience. This focus is apposite, given the central role played by Irish news journalists in bringing to public attention the variety of political, financial and religious scandals that engulfed Irish society in recent years. The paper concludes that Irish journalists are in the main more liberal in their views than either the professional organisations they work for or the audiences they serve.
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Ekström, Mats, Amanda Ramsälv, and Oscar Westlund. "Data-driven news work culture: Reconciling tensions in epistemic values and practices of news journalism." Journalism 23, no. 4 (December 21, 2021): 755–72. http://dx.doi.org/10.1177/14648849211052419.

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This study investigates the epistemological implications of the appropriation of audience analytics in a data-driven news culture. Focussing on two central aspects of epistemology, epistemic value and epistemic practices, we ask two overall questions (1) How are audience metrics balanced and reconciled in relation to other standards in the justification of news as valuable knowledge? How are different practices of research and presentation, truth-seeking and truth-telling, prioritized in a news organization marked as a data-driven news work culture? The study presents a case study of a Scandinavian legacy news publisher that has pursued the embracing of a data-driven news work culture. It is based on a qualitative multi-method approach. The findings show how metrics are used as a superior standard in deciding on the epistemic value of news. This is expressed in strategies, guidelines and discussions in the newsroom, and put into practice in coaching, evaluations and rewarding of the performance of individual journalists. In the everyday news production, metrics are reconciled in relation to independent standards in journalism, related to the claims of news journalism to provide relevant and verified public knowledge about current events. Moreover, the study shows how the embracement of metrics radicalizes the focus on presentation, packaging and timing in the optimization of news material and in the valuing of professional practices. Efforts in research and truth seeking are more seldom explicitly valued. The work of fulfilling reasonable truth claims is mainly taken for granted.
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Hernandez Serrano, Maria Jose, Anita Greenhill, and Gary Graham. "Transforming the news value chain in the social era: a community perspective." Supply Chain Management: An International Journal 20, no. 3 (May 11, 2015): 313–26. http://dx.doi.org/10.1108/scm-05-2014-0147.

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Purpose – The purpose of this paper is to develop a conceptual framework to understand the influence that the social era is having on the value chain of the local news industry. The authors theoretically advance value chain theory by, firstly, considering the influence of community type and age on consumption and, secondly, exploring the role that consumers can play in value-adding activities. The theoretical contribution of this study lies in moving from a transactional approach towards consumer relationships in the value chain towards managing consumers as a source of relational value (e.g. co-creation and integrated perspectives). Design/methodology/approach – The conceptual framework is theoretically positioned in relation to community and digital community practices in the social era. A series of research questions are presented, then these questions are explored drawing on empirical data from the Pew database. The authors then advance the framework further to consider news firm strategy towards its consumers. Fifteen in-depth executive interviews were conducted with local news organizations in the Manchester area of the UK. Findings – The authors illustrate that different types of communities (merging cohorts and locations) are influencing levels of technological and social connectivity within the value chain. The authors also found that the news industry is experimenting with reconfiguring its consumer relations from a purely transactional to a co-created and participatory value-added activity in the social era. In terms of its policy impact, the findings in this paper show that the whole strategic value chain ideology of the news industry needs to change radically; away from its largely transactional (and lack of trust) approach in the ability of consumers to create value in the supply chain (other than to buy a product) and, move towards much greater consumer involvement and participation in value chain processes (creation, production and distribution of news products and services). Originality/value – The change associated with social media and connectivity is changing the way that different community types and consumer groups are now consuming and participating in news content creation. Unlike previous studies, the authors show that there is variance and complexity in the levels of consumer participation by community type/age group. Using the Pew data, the authors contribute to knowledge on the value creation strategy of news firms in the social era, by identifying how communicative, social and communicative logics influence value and co-creation activities in the local news supply chain. Through interviews, the authors advance value co-creation theory from its strategic and marketing origins to operational and supply chain implementation.
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Cummins, R. Glenn, and Todd Chambers. "How Production Value Impacts Perceived Technical Quality, Credibility, and Economic Value of Video News." Journalism & Mass Communication Quarterly 88, no. 4 (December 2011): 737–52. http://dx.doi.org/10.1177/107769901108800404.

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Although media professionals use production value to refer to technical aspects of program quality, evidence suggests that viewers are not adept at recognizing this property of content. Nonetheless, broadcasters are attempting to differentiate news product based on technical dimensions. To test the utility of this strategy, this experiment examined how production value impacts perceived technical quality, credibility, and economic value across two age cohorts. Viewers recognized variation in production value and judged stories high in production value as more credible than identical stories low in production value. However, they placed no greater value on high production value content.
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37

Tandoc, Edson C., and Ryan J. Thomas. "Readers value objectivity over transparency." Newspaper Research Journal 38, no. 1 (March 2017): 32–45. http://dx.doi.org/10.1177/0739532917698446.

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This study explored the effects of objectivity and transparency on perceived news credibility and newsworthiness. Some journalism scholars and practitioners have argued that transparency is replacing objectivity, which has been a dominant standard in traditional journalism. An online experiment (n=222) found that objective articles were rated more credible and more newsworthy than opinionated articles, while non-transparent articles were rated more credible than transparent articles.
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Wiciaputra, Yakobus, Julio Young, and Andre Rusli. "Bilingual Text Classification in English and Indonesian via Transfer Learning using XLM-RoBERTa." International Journal of Advances in Soft Computing and its Applications 13, no. 3 (November 28, 2021): 73–87. http://dx.doi.org/10.15849/ijasca.211128.06.

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With the large amount of text information circulating on the internet, there is a need of a solution that can help processing data in the form of text for various purposes. In Indonesia, text information circulating on the internet generally uses 2 languages, English and Indonesian. This research focuses in building a model that is able to classify text in more than one language, or also commonly known as multilingual text classification. The multilingual text classification will use the XLM-RoBERTa model in its implementation. This study applied the transfer learning concept used by XLM-RoBERTa to build a classification model for texts in Indonesian using only the English News Dataset as a training dataset with Matthew Correlation Coefficient value of 42.2%. The results of this study also have the highest accuracy value when tested on a large English News Dataset (37,886) with Matthew Correlation Coefficient value of 90.8%, accuracy of 93.3%, precision of 93.4%, recall of 93.3%, and F1 of 93.3% and the accuracy value when tested on a large Indonesian News Dataset (70,304) with Matthew Correlation Coefficient value of 86.4%, accuracy, precision, recall, and F1 values of 90.2% using the large size Mixed News Dataset (108,190) in the model training process. Keywords: Multilingual Text Classification, Natural Language Processing, News Dataset, Transfer Learning, XLM-RoBERTa
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39

윤재홍. "Broadcasting Journalists’ the Reporting Criterion of TV News : Focusing on the News Value." Journal of Political Communication ll, no. 9 (June 2008): 123–58. http://dx.doi.org/10.35731/kpca.2008..9.004.

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40

Kjær, Peter, and Roy Langer. "Infused with news value: Management, managerial knowledge and the institutionalization of business news." Scandinavian Journal of Management 21, no. 2 (June 2005): 209–33. http://dx.doi.org/10.1016/j.scaman.2005.02.012.

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41

Ying, Qianwei, and Jinsong Liu. "Anti-corruption campaign in China: good news or bad news for firm value?" Applied Economics Letters 25, no. 17 (November 23, 2017): 1183–88. http://dx.doi.org/10.1080/13504851.2017.1406651.

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42

Jovanovic, Boyan, and Serguey Braguinsky. "Bidder Discounts and Target Premia in Takeovers." American Economic Review 94, no. 1 (February 1, 2004): 46–56. http://dx.doi.org/10.1257/000282804322970698.

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On news of a takeover, the sum of the stock market values of the firms involved often falls, and the value of the acquirer almost always does. Does this mean that takeovers do not raise the values of the firms involved? Not necessarily. We set up a model in which the equilibrium number of takeovers is constrained efficient. Yet upon news of a takeover, a target's price rises, the bidder's price falls, and most of the time the joint value of the target and acquirer also falls.
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43

Gonwirat, Sarayut, Atchara Choompol, and Narong Wichapa. "A combined deep learning model based on the ideal distance weighting method for fake news detection." International Journal of Data and Network Science 6, no. 2 (2022): 347–54. http://dx.doi.org/10.5267/j.ijdns.2022.1.003.

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Fake news has become a major problem affecting people, society, the economy and national security. This work proposes a combined deep learning model based on the ideal distance weighting method for fake news detection. The proposed model was validated on the ISOT and COVID-19 fake news datasets. Firstly, the ISOT and COVID-19 fake news datasets were collected. Secondly, the training-based models were used to provide accuracy values. After that, these values were transformed into criteria weights using the new ideal distance weighting method. Finally, the prediction value of the proposed model is calculated by the criteria weights. The results show that the proposed method is effective to distinguish the fake news datasets.
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44

Martins, José, and Alberto Pinto. "The Value of Information Searching against Fake News." Entropy 22, no. 12 (December 3, 2020): 1368. http://dx.doi.org/10.3390/e22121368.

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Inspired by the Daley-Kendall and Goffman-Newill models, we propose an Ignorant-Believer-Unbeliever rumor (or fake news) spreading model with the following characteristics: (i) a network contact between individuals that determines the spread of rumors; (ii) the value (cost versus benefit) for individuals who search for truthful information (learning); (iii) an impact measure that assesses the risk of believing the rumor; (iv) an individual search strategy based on the probability that an individual searches for truthful information; (v) the population search strategy based on the proportion of individuals of the population who decide to search for truthful information; (vi) a payoff for the individuals that depends on the parameters of the model and the strategies of the individuals. Furthermore, we introduce evolutionary information search dynamics and study the dynamics of population search strategies. For each value of searching for information, we compute evolutionarily stable information (ESI) search strategies (occurring in non-cooperative environments), which are the attractors of the information search dynamics, and the optimal information (OI) search strategy (occurring in (eventually forced) cooperative environments) that maximizes the expected information payoff for the population. For rumors that are advantageous or harmful to the population (positive or negative impact), we show the existence of distinct scenarios that depend on the value of searching for truthful information. We fully discuss which evolutionarily stable information (ESI) search strategies and which optimal information (OI) search strategies eradicate (or not) the rumor and the corresponding expected payoffs. As a corollary of our results, a recommendation for legislators and policymakers who aim to eradicate harmful rumors is to make the search for truthful information free or rewarding.
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45

Sturm, Ray R. "Schwab’s equity ratings: value added or old news?" Journal of Economics and Finance 41, no. 2 (November 14, 2015): 257–75. http://dx.doi.org/10.1007/s12197-015-9347-1.

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46

Corrigan, Dennis M. "Value Coding Consensus in Front Page News Leads." Journalism Quarterly 67, no. 4 (December 1990): 653–62. http://dx.doi.org/10.1177/107769909006700419.

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47

Ispano, Alessandro. "Information acquisition and the value of bad news." Games and Economic Behavior 110 (July 2018): 165–73. http://dx.doi.org/10.1016/j.geb.2018.03.013.

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48

Martens, Thomas A. "The news value of nonprofit organizations and issues." Nonprofit Management and Leadership 7, no. 2 (1996): 181–92. http://dx.doi.org/10.1002/nml.4130070207.

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49

Kamali, Mehran, Hadi Zarea, Zhan Su, and Saeideh Soltani. "The influence of value co-creation on customer loyalty, behavioural intention, and customer satisfaction in emerging markets." AD-minister, no. 39 (November 28, 2021): 5–24. http://dx.doi.org/10.17230/ad-minister.39.1.

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One of the current major trends in the media industry is customer value co-creation. User participation can significantly affect news media organisations. This study examines the impact of value co-creation on the loyalty, satisfaction, and behavioural tendencies of media consumers, using a survey of users of My Fars news platform. The conceptual model of this study is developed and tested by using survey data from 283 users of the news campaign in Fars News and Structural Equation Modelling (SEM) is employed to simultaneously test the hypothesized relationships. The results show that user participation in value co-creation significantly affects their satisfaction, loyalty, and behavioural tendencies.
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Chen, Kun, Xin Li, Peng Luo, and J. Leon Zhao. "News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value." Information Systems Research 32, no. 2 (June 2021): 356–77. http://dx.doi.org/10.1287/isre.2020.0969.

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Public news provides rich information about firm operations and market dynamics. Learning about firm interactions from news is commonly done by human investors but has not been realized by automatic methods, leading to a research opportunity in market signaling via dynamic firm relations. This study proposes a new text-mining approach to extract cobenefit/counter-benefit networks based on firms’ mutual or conflicting interests in business events. It reveals that the extracted dynamic networks provide additional value in predicting firm equity value over current adopted supply chain and coindustry networks, after controlling for market activities and other traditional indicators from news, such as volume, sentiment, and comentions. In practice, such cobenefit/counter-benefit networks provide good buy and sell signals, which enrich known indicators and support more complex trading strategies in investment and portfolio management. The analysis and visualization of the extracted cobenefit/counter-benefit networks are also useful in understanding the structure of the economy and assessing firm/industry changes in a timelier fashion.
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