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Article
Publication date: 10 January 2022

Xizhu Xiao and Yan Su

News consumption is critical in creating informed citizenry; however, in the current context of media convergence, news consumption becomes more complex as social media…

Abstract

Purpose

News consumption is critical in creating informed citizenry; however, in the current context of media convergence, news consumption becomes more complex as social media becomes a primary news source rather than news media. The current study seeks to answer three questions: why the shifted pattern of news seeking only happens to some but not all of the news consumers; whether the differentiated patterns of news seeking (news media vs social media) would result in different misinformation engagement behaviors; and whether misperceptions would moderate the relationship between news consumption and misinformation engagement.

Design/methodology/approach

A survey consisted of questions related to personality traits, news seeking, misperceptions and misinformation engagement was distributed to 551 individuals. Multiple standard regression and PROCESS Macro model 1 were used to examine the intricate relationships between personality, news use and misinformation engagement.

Findings

Results indicate that extroversion was positively associated with social media news consumption while openness was inversely related to it. Social media news consumption in turn positively predicted greater misinformation sharing and commenting. No association was found between Big Five personality traits and news media news seeking. News media news seeking predicted higher intention to reply to misinformation. Both relationships were further moderated by misperceptions that individuals with greater misperceptions were more likely to engage with misinformation.

Originality/value

The current study integrates personality traits, news consumption and misperceptions in understanding misinformation engagement behaviors. Findings suggest that news consumption via news media in the digital era merits in-depth examinations as it may associate with more complex background factors and also incur misinformation engagement. Social media news consumption deserves continuous scholarly attention. Specifically, extra attention should be devoted to extrovert and pragmatic individuals in future research and interventions. People with these characteristics are more prone to consume news on social media and at greater risk of falling prey to misinformation and becoming a driving force for misinformation distribution.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2021-0520

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 11 January 2022

Anthony Flynn and Irina Harris

The media is an important actor in public procurement, but research on its role is limited. This paper aims to investigate how the media has engaged with public…

Abstract

Purpose

The media is an important actor in public procurement, but research on its role is limited. This paper aims to investigate how the media has engaged with public procurement, using UK newspapers as a case example.

Design/methodology/approach

The method consisted of searching Nexis database for news articles on public procurement; automatic extraction of article attributes such as length, section, authorship; and manually coding each article for its theme and industry context. This produced quantitative indicators about the extent and focus of press coverage on public procurement.

Findings

Press coverage of public procurement increased between 1985 and 2018. The focus of coverage has been on governance failure and socio-economic policy. Governance failure, which includes corruption, cronyism and supplier malpractice, is associated with construction, outsourcing and professional services sectors. Socio-economic policy, which includes supporting small suppliers and favouring domestic industry, is associated with manufacturing, defence and agriculture.

Research limitations/implications

The analysis included UK media only. While the trends observed on the extent and focus of public procurement news coverage likely reflect the situation in other countries, international comparative research is still required.

Practical implications

Government officials should be more proactive in countering the “negativity bias” in news coverage of public procurement by showcasing projects where value-for-money has been achieved, services have been successfully delivered and social value has been realised.

Social implications

The media accentuates the negatives of public procurement and omits positive developments. The end-result is a selective and, at times, self-serving media narrative that is likely to engender cynicism towards public procurement.

Originality/value

To the best of the authors’ knowledge, this is the first study on media coverage of public procurement. It highlights that while there are similarities between media and academic treatment of public procurement, particularly in relation to its socio-economic side, the media emphasises governance failings and negative developments to a greater extent.

Details

Journal of Public Procurement, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1535-0118

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Article
Publication date: 14 January 2022

Krishnadas Nanath, Supriya Kaitheri, Sonia Malik and Shahid Mustafa

The purpose of this paper is to examine the factors that significantly affect the prediction of fake news from the virality theory perspective. The paper looks at a mix of…

Abstract

Purpose

The purpose of this paper is to examine the factors that significantly affect the prediction of fake news from the virality theory perspective. The paper looks at a mix of emotion-driven content, sentimental resonance, topic modeling and linguistic features of news articles to predict the probability of fake news.

Design/methodology/approach

A data set of over 12,000 articles was chosen to develop a model for fake news detection. Machine learning algorithms and natural language processing techniques were used to handle big data with efficiency. Lexicon-based emotion analysis provided eight kinds of emotions used in the article text. The cluster of topics was extracted using topic modeling (five topics), while sentiment analysis provided the resonance between the title and the text. Linguistic features were added to the coding outcomes to develop a logistic regression predictive model for testing the significant variables. Other machine learning algorithms were also executed and compared.

Findings

The results revealed that positive emotions in a text lower the probability of news being fake. It was also found that sensational content like illegal activities and crime-related content were associated with fake news. The news title and the text exhibiting similar sentiments were found to be having lower chances of being fake. News titles with more words and content with fewer words were found to impact fake news detection significantly.

Practical implications

Several systems and social media platforms today are trying to implement fake news detection methods to filter the content. This research provides exciting parameters from a viral theory perspective that could help develop automated fake news detectors.

Originality/value

While several studies have explored fake news detection, this study uses a new perspective on viral theory. It also introduces new parameters like sentimental resonance that could help predict fake news. This study deals with an extensive data set and uses advanced natural language processing to automate the coding techniques in developing the prediction model.

Details

Journal of Systems and Information Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1328-7265

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Article
Publication date: 17 January 2022

Brinda Sampat and Sahil Raj

“Fake news” or misinformation sharing using social media sites into public discourse or politics has increased dramatically, over the last few years, especially in the…

Abstract

Purpose

“Fake news” or misinformation sharing using social media sites into public discourse or politics has increased dramatically, over the last few years, especially in the current COVID-19 pandemic causing concern. However, this phenomenon is inadequately researched. This study examines fake news sharing with the lens of stimulus-organism-response (SOR) theory, uses and gratification theory (UGT) and big five personality traits (BFPT) theory to understand the motivations for sharing fake news and the personality traits that do so. The stimuli in the model comprise gratifications (pass time, entertainment, socialization, information sharing and information seeking) and personality traits (agreeableness, conscientiousness, extraversion, openness and neuroticism). The feeling of authenticating or instantly sharing news is the organism leading to sharing fake news, which forms the response in the study.

Design/methodology/approach

The conceptual model was tested by the data collected from a sample of 221 social media users in India. The data were analyzed with partial least squares structural equation modeling to determine the effects of UGT and personality traits on fake news sharing. The moderating role of the platform WhatsApp or Facebook was studied.

Findings

The results suggest that pass time, information sharing and socialization gratifications lead to instant sharing news on social media platforms. Individuals who exhibit extraversion, neuroticism and openness share news on social media platforms instantly. In contrast, agreeableness and conscientiousness personality traits lead to authentication news before sharing on the social media platform.

Originality/value

This study contributes to social media literature by identifying the user gratifications and personality traits that lead to sharing fake news on social media platforms. Furthermore, the study also sheds light on the moderating influence of the choice of the social media platform for fake news sharing.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 21 January 2022

Abiot Tessema and Ghulame Rubbaniy

The purpose of this study is to investigate how changes in the firm's information disclosure practices impact the way investors process macroeconomic news. Specifically…

Abstract

Purpose

The purpose of this study is to investigate how changes in the firm's information disclosure practices impact the way investors process macroeconomic news. Specifically, the authors examine the role of derivative instruments and hedging activities disclosure, as required by SFAS 133, in shaping invertors response to good and bad interest rate news. In addition, the authors examine whether the effect of SFAS 133 on investors' response to good and bad interest rate news varies between firms with higher and lower earnings volatility.

Design/methodology/approach

This study uses data on all US public firms over the period from 1990 to 2019. The authors mainly apply multivariate regression and a difference-in-difference approach to test their hypotheses.

Findings

The results show a significant decrease in the asymmetry of responses to good and bad interest rate news for users of interest rate derivatives following the adoption of SFAS 133. However, in contrast to this finding, the authors also find that the adoption of SFAS 133 has no impact on the asymmetry of responses to good and bad interest rate news for nonusers of interest rate derivatives. Consistent with the ambiguity theory, the finding suggests that SFAS 133 indeed decreases investors’ uncertainty (ambiguity) about the cash flow implications of changes in the interest rate. The authors also find that the decrease in the asymmetry of response to good and bad interest rate news after the adoption of SFAS 133 is greater for users of interest rate derivatives with higher than lower earnings volatility. This implies that derivatives and hedging activities disclosure, as required by SFAS 133, are more important for firms with higher than lower earnings volatility. The finding is consistent with the idea that investors demand more accounting information when underlying earnings volatility is higher. In a set of additional analyses, the authors find that the effect of SFAS 133 on investors' response to good and bad interest rate news varies depending on the level of analyst coverage and interest rate exposure. Specifically, the authors find that the decrease in the asymmetry of response to good and bad interest rate news after the adoption of SFAS 133 is greater for users of interest rate derivatives with higher interest rate exposure and lower analyst coverage.

Practical implications

The findings of this study help market participants including regulators and standard setters to understand the impact of mandatory disclosure practices on investors' reaction to macroeconomic news. Moreover, the findings of the study help managers to understand the influence firm-specific characteristics (e.g. earnings volatility, analyst coverage and interest rates exposure) on the effectiveness of mandatory derivative instruments and hedging activities disclosure.

Originality/value

To the best of the authors' knowledge, this is the first paper to explore how firm-specific information environment affects the way investors process macroeconomic news. This study contributes to the literature by providing the empirical evidence that derivatives instruments and hedging activities, as required by SFAS 133, affect investors' response to good and bad interest rate news. In doing so, the results provide insights about how firm-specific information environment affects the way investors process macroeconomic news. This study shows that the cross-sectional variation in earnings volatility, analysts’ coverage and interest rate exposure affects the impact of SFAS 133 on investors' response to good and bad interest rate news. The findings are not only the notable addition to the existing literature on the topic but also can aid to market participants including policy makers, regulators, standard setters and managers to understand the influence of firm-specific characteristics on the effectiveness of mandatory derivative instruments and hedging activities disclosure. Finally, the findings contribute to the general debate about the effectiveness of SFAS 133 by showing that the adoption of SFAS 133 indeed decreases information ambiguity.

Details

International Journal of Managerial Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1743-9132

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Article
Publication date: 4 January 2022

Lei Zheng, Jon D. Elhai, Miao Miao, Yu Wang, Yiwen Wang and Yiqun Gan

Health-related online fake news (HOFN) has become a major social problem. HOFN can lead to the spread of ineffective and even harmful remedies. The study aims to…

Abstract

Purpose

Health-related online fake news (HOFN) has become a major social problem. HOFN can lead to the spread of ineffective and even harmful remedies. The study aims to understand Internet users' responses to HOFN during the coronavirus (COVID-19) pandemic using the protective action decision model (PADM).

Design/methodology/approach

The authors collected pandemic severity data (regional number of confirmed cases) from government websites of the USA and China (Studies 1 and 2), search behavior from Google and Baidu search engines (Studies 1 and 2) and data regarding trust in two online fake news stories from two national surveys (Studies 2 and 3). All data were analyzed using a multi-level linear model.

Findings

The research detected negative time-lagged relationships between pandemic severity and regional HOFN search behavior by three actual fake news stories from the USA and China (Study 1). Importantly, trust in HOFN served as a mediator in the time-lagged relationship between pandemic severity and search behavior (Study 2). Additionally, the relationship between pandemic severity and trust in HOFN varied according to individuals' perceived control (Study 3).

Originality/value

The authors' results underscore the important role of PADM in understanding Internet users' trust in and search for HOFN. When people trust HOFN, they may seek more information to implement further protective actions. Importantly, it appears that trust in HOFN varies with environmental cues (regional pandemic severity) and with individuals' perceived control, providing insight into developing coping strategies during a pandemic.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 15 December 2021

Ikhlaas Gurrib and Firuz Kamalov

Cryptocurrencies such as Bitcoin (BTC) attracted a lot of attention in recent months due to their unprecedented price fluctuations. This paper aims to propose a new method…

Abstract

Purpose

Cryptocurrencies such as Bitcoin (BTC) attracted a lot of attention in recent months due to their unprecedented price fluctuations. This paper aims to propose a new method for predicting the direction of BTC price using linear discriminant analysis (LDA) together with sentiment analysis.

Design/methodology/approach

Concretely, the authors train an LDA-based classifier that uses the current BTC price information and BTC news announcements headlines to forecast the next-day direction of BTC prices. The authors compare the results with a Support Vector Machine (SVM) model and random guess approach. The use of BTC price information and news announcements related to crypto enables us to value the importance of these different sources and types of information.

Findings

Relative to the LDA results, the SVM model was more accurate in predicting BTC next day’s price movement. All models yielded better forecasts of an increase in tomorrow’s BTC price compared to forecasting a decrease in the crypto price. The inclusion of news sentiment resulted in the highest forecast accuracy of 0.585 on the test data, which is superior to a random guess. The LDA (SVM) model with asset specific (news sentiment and asset specific) input features ranked first within their respective model classifiers, suggesting both BTC news sentiment and asset specific are prized factors in predicting tomorrow’s price direction.

Originality/value

To the best of the authors’ knowledge, this is the first study to analyze the potential effect of crypto-related sentiment and BTC specific news on BTC’s price using LDA and sentiment analysis.

Details

Studies in Economics and Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1086-7376

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Article
Publication date: 6 December 2021

Reijo Savolainen

To elaborate the nature of infotainment as a mediating concept between information and entertainment by analysing how the concept of infotainment is approached in diverse…

Abstract

Purpose

To elaborate the nature of infotainment as a mediating concept between information and entertainment by analysing how the concept of infotainment is approached in diverse domains such as communication research.

Design/methodology/approach

Conceptual analysis was conducted by focussing on 41 key studies on the topic. First, it was examined how researchers have approached the relationships between informational and entertaining elements of infotainment. Thereafter, attention was directed to the ways in which people make use of infotainment. The conceptual analysis is based on the comparison of the similarities and differences between the characterizations of the above issues.

Findings

Early studies characterized infotainment in terms of soft news which is distinct from hard news offering factual information. Later investigations offer a more nuanced picture by approaching infotainment as phenomenon with diverse dimensions depicting the topics, focus and presentation style. Studies on the use of infotainment offer contradictory evidence of the extent to which infotaining programmes can increase people's interest in social, political and health issues, for example.

Research limitations/implications

As the study concentrates on the analysis of an individual concept, that is, infotainment, the findings cannot be generalized to concern the ways in which informational and entertaining phenomena are related as a whole.

Originality/value

By elaborating the conceptual nature of infotainment, the study contributes to information behaviour research by refining the picture of the relationships between information and entertainment.

Details

Journal of Documentation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0022-0418

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Article
Publication date: 27 December 2021

Aruba Sharif, Tahir Mumtaz Awan and Osman Sadiq Paracha

This study aims to understand how fake news can cause an impact on consumer behavioral intentions in today’s era when fake news is prevalent and common. Brands have not…

Abstract

Purpose

This study aims to understand how fake news can cause an impact on consumer behavioral intentions in today’s era when fake news is prevalent and common. Brands have not only faced reputational losses but also got a dip in their share prices and sales, which affected their financial standing. Hence, it is significant for brands to understand the impact of fake news on behavioral intentions and to strategize to manage the impact.

Design/methodology/approach

This study uses several branding and marketing concepts such as brand experience, brand trust, brand credibility, consumer behavioral intentions along with variables suggested by Elaboration Likelihood Model and Heuristic Systematic Model such as personal relevance/involvement. For fake news, news truthfulness, news credibility and source credibility are used.

Findings

The results of this study shows that positive brand experience, brand trust, brand credibility help in creating positive behavioral intentions for brands. This study shows that brands focusing on providing positive brand experience have a stronger brand trust and credibility and are affected less by fake news than those brands which do not emphasize on these factors.

Practical implications

This paper can assist brand managers in understanding the impact fake news can have on behavioral intentions of consumers. The managers can strategize such that the fake news affects their brands the least.

Originality/value

The authors in this paper attempt to fill in the gap in literature, which is to study how the fake news impacts the brands considering the credibility, trust and experience they establish with their customers. The existing literature discusses the generation and dissemination of fake news on social media and its impact on political scenarios and personalities. Also, studies explain the impact of fake news on the financial position of brands, but marketing facets are not tested empirically.

Details

Journal of Information, Communication and Ethics in Society, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-996X

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Article
Publication date: 6 December 2021

Andrea Hrckova, Robert Moro, Ivan Srba and Maria Bielikova

Partisan news media, which often publish extremely biased, one-sided or even false news, are gaining popularity world-wide and represent a major societal issue. Due to a…

Abstract

Purpose

Partisan news media, which often publish extremely biased, one-sided or even false news, are gaining popularity world-wide and represent a major societal issue. Due to a growing number of such media, a need for automatic detection approaches is of high demand. Automatic detection relies on various indicators (e.g. content characteristics) to identify new partisan media candidates and to predict their level of partisanship. The aim of the research is to investigate to a deeper extent whether it would be appropriate to rely on the hyperlinks as possible indicators for better automatic partisan news media detection.

Design/methodology/approach

The authors utilized hyperlink network analysis to study the hyperlinks of partisan and mainstream media. The dataset involved the hyperlinks of 18 mainstream media and 15 partisan media in Slovakia and Czech Republic. More than 171 million domain pairs of inbound and outbound hyperlinks of selected online news media were collected with Ahrefs tool, analyzed and visualized with Gephi software. Additionally, 300 articles covering COVID-19 from both types of media were selected for content analysis of hyperlinks to verify the reliability of quantitative analysis and to provide more detailed analysis.

Findings

The authors conclude that hyperlinks are reliable indicators of media affinity and linking patterns could contribute to partisan news detection. The authors found out that especially the incoming links with dofollow attribute to news websites are reliable indicators for assessing the type of media, as partisan media rarely receive links with dofollow attribute from mainstream media. The outgoing links are not such reliable indicators as both mainstream and partisan media link to mainstream sources similarly.

Originality/value

In contrast to the extensive amount of research aiming at fake news detection within a piece of text or multimedia content (e.g. news articles, social media posts), the authors shift to characterization of the whole news media. In addition, the authors did a geographical shift from more researched US-based media to so far under-researched European context, particularly Central Europe. The results and conclusions can serve as a guide how to derive new features for an automatic detection of possibly partisan news media by means of artificial intelligence (AI).

Peer review

The peer review history for this article is available at the following link: https://publons.com/publon/10.1108/OIR-10-2020-0441.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

Keywords

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