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News algorithms not only help the authors to efficiently navigate the sea of available information, but also frame information in ways that influence public discourse and citizenship. Indeed, the likelihood that readers will be exposed to and read given news articles is structured into news algorithms. Thus, ensuring that news algorithms uphold journalistic values is crucial. In this regard, the purpose of this paper is to quantify journalistic values to make them readable by algorithms through taking an exploratory approach to a question that has not been previously investigated.

The author matched the textual indices (extracted from natural language processing/automated content analysis) with human conceptions of journalistic values (derived from survey analysis) by implementing partial least squares path modeling.

The results suggest that the numbers of words or quotes news articles contain have a strong association with the survey respondent assessments of their balance, diversity, importance and factuality. Linguistic polarization was an inverse indicator of respondents’ perception of balance, diversity and importance. While linguistic intensity was useful for gauging respondents’ perception of sensationalism, it was an ineffective indicator of importance and factuality. The numbers of adverbs and adjectives were useful for estimating respondents’ perceptions of factuality and sensationalism. In addition, the greater numbers of quotes, pair quotes and exclamation/question marks in news headlines were associated with respondents’ perception of lower journalistic values. The author also found that the assessment of journalistic values influences the perception of news credibility.

This study has implications for computational journalism, credibility research and news algorithm development.

It represents the first attempt to quantify human conceptions of journalistic values with textual indices.

Fake news represents a real risk for brands, particularly for firms selling essential products, such as food items. Despite this anecdotal acknowledgement, the dynamics of the relationship between fake news and brand reputation remain under-explored. The present study addresses this gap by examining the association of consumer values (universalism and openness to change), brand trust, fake news risk and system trust in the context of natural food products.

The study utilised a cross-sectional survey design and the mall-intercept method to collect data from 498 consumers of natural food residing in India. To test the hypotheses, which were grounded in the stimulus-organism-response (SOR) framework, the collected data were analysed using covariance-based structural equation modelling in SPSS AMOS. The conceptual model proposed universalism and openness to change as stimuli, brand trust as an internal state or organism and fake news risk – captured through the tendency of consumers to believe and act on fake news – as a response.

The findings support a positive association of universalism with brand trust and a negative association with fake news risk. In comparison, openness to change has no association with either brand trust or fake news risk. Brand trust, meanwhile, is negatively related to fake news, and this association is moderated by system trust. Furthermore, brand trust partially mediates the relationship between universalism value and fake news risk.

Notably, the present study is one of the first attempts to understand the fake news risk associated with natural food brands by utilising the SOR framework in an emerging market setting. The study provides interesting insights for policymakers, brands and consumers.

This study examined the impact of war/conflict-related news on the Russian and Ukrainian stock markets in the build-up and beginning of the war that sparked in the year 2022.

In order to examine the impact of war-related news on stock returns, data were gathered from the United States (US) and Russian stock indices, oil price and volatile index (VIX) from Yahoo.finance; Ukrainian stock values from pfts.ua website and daily related news retrieved from nexis.com were analysed. The data were gathered from January 1, 2022 to February 24, 2022. Seeming unrealated regressions (SUR) and exponential generalised autoregressive conditional heteroscedastic (EGARCH) models were carried out to determine the formulated correlations. This study controlled the oil price, US stock returns, Chicago Board Options Exchange (CBOE) VIX and difference in stock returns of Russia and Ukraine.

The results are presented two-fold: first, war-related news between the two countries enhanced volatility and caused a significant decline in the stock market indices for both countries. Second, the Russian stock market faced a steeper decline in the build-up and the actual beginning of the war than the Ukrainian stock market. Notably, the Russian markets feared the adverse economic consequences that stemmed from the sanctions the US and the Western world imposed.

As this study was based on early evidence, future studies with a longer window may provide better insights. This present study is restricted to the stock returns of the countries directly involved in the build-up towards war. Studies focusing on the impact of other asset classes, currencies, commodities and global stock markets might offer holistic insights.

The study outcomes suggest that global portfolio investors should stay away from stock markets of the war-raged countries and equity markets in general, but instead look for safe-haven assets.

The paper evaluates stock markets' performance during the pre-war period, considering the context of this historical war between the neighbours. It is important to understand this issue as this war is subject to sanctions by the US and leads to a global supply chain crisis.

Utilising a database that distinctly classifies firm-level ESG (environmental, social and governance) news sentiment as positive or negative, the authors examine the information flow between the two types of ESG news sentiment and stock returns for 20 companies listed on the Johannesburg Stock Exchange between 2015 and 2021.

The authors use Shannonian transfer entropy to examine whether information significantly flows from ESG news sentiment to stock returns and a modified event study analysis to establish how stock prices react to changes in the two types of ESG sentiment.

Using Shannonian transfer entropy, the authors find that for the majority of the companies studied, information flows from the positive ESG news sentiment to stock returns while only a minority of the companies exhibit significant information flow from negative ESG news sentiment to returns. Furthermore, the study’s findings show significantly positive (negative) abnormal returns on the event date and beyond for both upgrades and downgrades in positive ESG news sentiment.

This study is among the first in an African context to investigate the impact of ESG news sentiment on stock market returns at high frequencies.

The current natural language processing algorithms are still lacking in judgment criteria, and these approaches often require deep knowledge of political or social contexts. Seeing the damage done by the spreading of fake news in various sectors have attracted the attention of several low-level regional communities. However, such methods are widely developed for English language and low-resource languages remain unfocused. This study aims to provide analysis of Hindi fake news and develop a referral system with advanced techniques to identify fake news in Hindi.

The technique deployed in this model uses bidirectional long short-term memory (B-LSTM) as compared with other models like naïve bayes, logistic regression, random forest, support vector machine, decision tree classifier, kth nearest neighbor, gated recurrent unit and long short-term models.

The deep learning model such as B-LSTM yields an accuracy of 95.01%.

This study anticipates that this model will be a beneficial resource for building technologies to prevent the spreading of fake news and contribute to research with low resource languages.

Tracing audience preferences via audience analytics software has become a vital strategy for many news organizations to ensure their competitiveness in media markets. Extant research also confirms the growing presence of these tools in digital news work in recent years across many local and international news media. However, little is understood about the analytics-driven tensions emerging among journalists and media managers. This paper aims to address this gap by drawing on the labor process theory, which critically analyzes labor and workplace transformations under capitalism.

The present study employs an interview-based qualitative methodology to deeply understand the factors at the base of the emerging tensions between news workers and managers brought about by audience metrics tools.

Results show how some perceptions, activities and contextual triggers related to analytics could make relationships between workers and managers problematic. The pressures felt by some journalists stemmed from the way their media managers introduced, interpreted, communicated and applied analytics in the workplace, which were not tied to the quality and learning goals related to journalists’ aspirations. As our evidence suggests, the analytics-induced tensions among news workers were rather an outcome of managerial deficits than of systematic plans to exploit journalists.

By identifying the nature of fundamental analytics-driven tensions in newsrooms, this paper contributes to our understanding of how media managers can embrace more effective approaches toward audience analytics, workforce and organizational performance.

Investor access to timely, financial resource consent information is problematic, consequently the purpose of this paper is to investigate the economic importance of New Zealand resource consent announcements to the stock exchange.

The authors apply event study methodology and cross‐sectional rank regression using a sample of resource consent announcements from 1993 to 2007.

Evidence of excess return volatility is found both on and before resource consent announcement dates. The results show that stock market reactions to resource consent announcements are positive for news of successes and negative for news of setbacks. Uncertainty associated with resource consent announcements appears to contribute to a delayed negative market response. In contrast, price reactions to announcements of resource consent success are immediate and significantly positive only when the news is concurrently disseminated via the media.

The findings imply that resource consent announcements are newsworthy and provide valuable information to the stock market regarding future regulatory compliance costs. Media dissemination is suggested to play an important role in the price‐adjustment process for news of resource consent successes. Given the increasing prominence of environmental compliance issues, the authors suggest that more informative disclosures regarding the types of consent(s) sought, the dollar value of expected compliance costs, expected time to gain consent, project investment costs and consent conditions imposed, would better assist investors to assess the economic impact of firm capital expenditures.

This study adds evidence to the literature on the role of environmental disclosures in disseminating information and reducing information asymmetry and offers suggestions to enhance the informativeness of environmental disseminations.

Recent research on local bias provides evidence that investors' portfolios include a non‐negligible allocation to stocks in firms that are geographically proximate to the investors. The reasons postulated for local bias include familiarity with firms, “word‐of‐mouth” communication effects, and ability to exploit local news. The purpose of this paper is to investigate the value‐relevance of local news, specifically earnings announcement surprises, in the context of the well‐documented local bias in investors' portfolios.

Using a hand‐collected panel dataset spanning 15 years of quarterly earnings announcements of publicly traded firms, abnormal stock returns engendered by earnings surprises based on local newspaper announcements are compared to those from earnings surprises based on financial analysts' forecasts (I/B/E/S).

In contrast to the case, when both sources of earnings surprises are negative, the authors find a statistically significant differential stock price effect in a sample where local firms' earnings announcements in the local newspaper signal positive earnings surprises, but the earnings surprise based on financial analysts' forecasts is negative. This result remains after controlling for time‐ and firm‐fixed effects. In additional tests, the authors establish that the result is predicated on a local firm's earnings announcement being reported in the local newspaper.

The paper's findings suggest that the results of empirical research on the information content of earnings surprises based solely on analysts' forecasts should be interpreted with caution. It was found that the stock price impact of earnings surprises is also significantly influenced by local newspaper reports of the announced quarterly earnings of local firms.

News research scholars define immediacy as constant news updating, whereas scholars in other fields conceptualize it more broadly as meaning closeness. The present study explicates the concept of immediacy and proposes a multidimensional notion of news immediacy that reflects physical and psychological closeness to the news.

A scale for measuring multifaceted immediacy was developed and tested in a between-subjects design experiment. Four dimensions were extracted from the analysis: transportation, involvement, vividness and timeliness.

The results reveal greater immediacy in online than print news contexts. Involvement is key to the experience of immediacy in both contexts; yet the feeling of being transported to the places of the news events was stronger among online than print news users. The latter relied more on vividness of the news presentation to attain closeness to the news.

Implications of the study were discussed.