Academic literature on the topic 'News value theory'

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.

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.

Media users need information and knowledge to act as free citizens. From this basic democratic assumption, news standards for media performance can be derived. Porto’s (2007) model of the ‘interpreting citizen’ assigns a central role to the diversity of interpretive frames. These frames enable citizens to make judgments about societal issues and related political positions. However, a theoretical foundation for classifying these frames in terms of their content is missing. We propose to derive such a basis from democratic theories of citizenship, which assume that values define a citizen’s position vis-à-vis the political sphere. Building on the cleavage approach from political science, we characterize which values organize political debates. The results of a large-scale content analysis of German news media demonstrate which empirical insights into media performance can be gained with a theoretically derived classification of value frames (most notably, measuring the substantive content of plurality). Based on this, we discuss additional avenues for future research.

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.

Purpose This study aims to examine the collective impact of awareness and knowledge about fake news, attitudes toward news verification, perceived behavioral control, subjective norms, fear of missing out (FoMO) and sadism on social media users’ intention to verify news before sharing on social media. Design/methodology/approach The current study’s conceptual framework is developed by a comprehensive literature review on social networking and the theory of planned behavior. The data for samples were collected from 400 respondents in India to test the conceptual framework using the partial least square–structural equation modeling technique. Findings The results show that awareness and knowledge, perceived behavioral control, attitudes toward news verification and FoMO are significant predictors of intention to verify news before sharing. Research limitations/implications The present study concludes implications for managers of social media companies and policy actors that want to take steps toward arresting the spread of fake news via social media. Originality/value Academic investigation on fake news sharing on social media has recently gained traction. The current work is unique because it uses the theory of planned behavior as a basis for predicting social media user’s intention to verify news before sharing on social media.

Previous research suggests that distinct characteristics of news articles, such as their news factors, account for the different participation rates in comment sections as well as the degree of interactivity among the discussants. In this study, this assumption is tested in the Facebook environment and extended to the analysis of how news factors (i.e., event characteristics) and illustration factors (i.e., characteristics resulting from a specific journalistic editing) of news articles predict the inclusiveness of discussions, as well as the occurrence of civility, rationality, and deliberative interactivity in user comments. A content analysis of 619 news articles and 11,218 related user comments on nine nation-wide Facebook news pages reveals that the news factors controversy, latent conflict, contravention, obtrusiveness, and impact particularly account for specific discussion qualities. The results also show that the illustration factors emotional language/ visualizations, slant, and conversational prompts affect the deliberative quality of the discussions.

What changes as algorithms proliferate within journalism and become more sophisticated? In this essay, we synthesize the articles in this thematic issue, which offer empirical evidence for how algorithms—and especially those designed to automate news production—are being incorporated not only into journalistic activities but also into the logics of journalism itself. They underscore that journalists have neither feared nor rejected such algorithms, as might be expected given the recent history of technological adoption in journalism. Instead, journalists have sought to normalize the technology by negotiating them against existing values and practices, and perhaps even reified some normative ideological constructs by finding unique value in what they offer as humans. These articles also highlight the shortcomings of those algorithms, giving pause to postulations of algorithms as potential solutions to shortcomings of trust in news and market failures. Indeed, such algorithms may end up amplifying the very biases that seed distrust in news all the while appearing less valuable to readers than their human counterparts. We also point to new opportunities for research, including examinations of how algorithms shape other stages in the journalistic workflow, such as interviewing sources, organizing knowledge, and verifying claims. We further point to the need to investigate higher analytic levels and incorporate additional perspectives, both from more diverse contexts (e.g., Global South) and from our sister academic fields (e.g., human–computer interaction). We conclude with optimism about the continued contributions this stream of work is poised to make in the years to come.

The aim of this research is to highlight the influence of foreign news agencies on daily Dawn and the News International. Quantities Content analysis has been done, while data collected from two newspapers of three month, 2016. The researcher collected data through purposive sampling technique and coding sheet was used as a tool. The results revealed that both newspapers relied on the foreign news agency. The content analysis explored that daily Dawn was more dependent on front page coverage whereas daily the News International was on the back page. The study also disclosed that daily the News International is giving more value to the foreign wires news than daily Dawn as it has published more news stories in double columns. The result of the research supported the hypotheses and the assumptions of the applied theories including Framing theory and Gatekeeping theory that foreign news agencies are Framing and filtering information.

Whether consciously or not, social media users are active spreaders of fake/false news. Those who have an understanding of media literacy should be able to overcome the spread of fake/false news. This study intended to examine how media literacy values acquired beforehand by individuals can compete with stimulus in the form of potentially fake/false news before it is finally decided to be disseminated or not. This research rests on the principles of social judgment theory and uses in-depth interviews to collect data. The result shows that there is an attitude of restraint when the characteristics of fake/false news on a message are successfully marked. In addition, the mismatch of value references possessed by individuals with ideas offered by fake/false news lead to 3 types of behavior: muting, compromising, or actively rejecting.

Since news circulation increasingly takes place online, the public has gained the capacity to influence the salience of topics on the agenda, especially when it comes to social media. Considering increased scrutiny about organizations, this study aims to understand what causes heightened activity to organization-related topics among Twitter users. We explore the extent to which news value theory, news coverage, and influential actors can explain peaks in Twitter activity about organizations. Based on a dataset of 1.8 million tweets about 18 organizations, the findings show that the news values social impact, geographical closeness, facticity, as well as certain influential actors, can explain the intensity of online activities. Moreover, the results advocate for a more nuanced understanding of the relation between news media and social media users, as indications of reversed agenda-setting patterns were observed.