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The purpose of this paper is to discover the primary components of credibility of three types of online newspapers and how the credibility of news differs by type.

The paper participants were recruited at a large north‐eastern US university. All items of credibility scales were measured using seven‐point Likert‐type scales. For each of the three credibility scales, the mean was computed and the scales were analysed for similarities and differences. The scales were factor analysed to determine their underlying dimensions.

Three factors (expertise, trustworthiness, and attractiveness) were common to the three types, but the different factor structure of each type was identified. The result of multiple comparisons shows that the differences between all three types of online newspapers were significant. Also the summated scores of the mainstream type were the highest on most items. However, the summated score of the index type of online newspaper was the highest on attractiveness. Overall participants rated the independent type of online newspapers lowest in credibility.

The limitations and implications of findings are examined in three dimensions: theoretical implications, implications for the online newspaper industry, and implications for strategic media use.

The paper divides online newspapers into three categories according to their characteristics: mainstream, independent, and index type. These three types of online newspapers were evaluated in terms of credibility structure, which made this study useful and unique.

This study aims to explore multifaceted corporate social responsibility (CSR) covered in popular English newspapers in the UK, USA, mainland China and Hong Kong from 2000 to 2016 via a computer-assisted analytical approach. This study moves the understanding of CSR away from corporate self-reporting to the mass media and raises interesting questions about the role of the news media in presenting CSR as a multifaceted, socially constructed concept.

Data were retrieved from CSR-related news articles from 2000 to 2016 that were archived in the LexisNexis database. Guided by the theoretical framework of agenda setting, a computer-assisted content analysis (Latent Dirichlet Allocation) was used to analyze 4,487 CSR-related articles from both business and non-business news sources. Analysis of variance was used to compare salient CSR topics in each country/region.

This study identifies newspapers as an alternate to corporations’ attempts to distribute CSR information and construct CSR meaning. The findings revealed that the news communicates a variety of CSR issues that are aligned or beyond what CSR was defined in corporate CSR reporting, as suggested in previous studies. In addition, CSR news coverages differ between the business and nonbusiness news sources. Furthermore, the media tone of CSR coverage significantly differed across the regions and between the business and nonbusiness newspapers.

Emerging topics in CSR news coverage, such as business education, could help companies identify untapped CSR realms in the market.

This study contributes to CSR communication research by adding a non-corporate perspective regarding what CSR means and should be focused on. The news media presents CSR using a heterogeneous approach as they not only provide surface reports on corporations’ CSR activities but also offer in-depth discussions.

Despite the title of this bibliography, there was not a truly underground press in the United States during the 1960s and 1970s. The phrase is amisnomer, reputedly coined on the spur of the moment in 1966 by Thomas Forcade when asked to describe the newly established news service, Underground Press Syndicate, of which he was an active member. The papers mentioned in this bibliography, except for the publications of the Weather Underground, were not published by secretive, covert organizations. Freedom of the press and of expression is protected by the First Amendment to the Constitution, although often only symbolically as the experience of the undergrounds will show, and most of the publications that fall into the “underground” described herein maintained public offices, contracted with commercial printers, and often used the U.S. Postal Service to distribute their publications.

This study aims to understand how media content and media sentiment in corporate social responsibility (CSR) news coverage affect investment performance, as reflected in the S&P 500 Environmental and Socially Responsible Index from 2010 to 2016.

Computer-assisted content analysis and sentiment analysis are employed to analyze 818 CSR-related newspaper articles from mainstream newspapers. Autoregressive model is used to comprehend socially responsible investment (SRI) performance.

This study reveals the impact of media content and media sentiment of CSR-related news articles on SRI. The authors’ findings indicate that such topics as recognition of a company's CSR contributions in CSR-related news articles are positively associated with SRI performance, whereas topics such as tax avoidance and environmental protection show a negative relationship with SRI performance. In addition, this study contributes to the authors’ understanding of framing bias in investment by confirming a significant positive association between an uncertain or constraining media sentiment and SRI performance, as well as a negative relationship between a litigious sentiment and SRI performance.

There has been limited attention to examining the effect of media coverage of CSR on the financial market. Since SRI is one of the most useful financial indices for SRIs, it is meaningful to explore the relationship between media coverage of CSR and SRI. To fill the research gap, this study specifically examines how media coverage of CSR-related issues is associated with SRI performance.

Despite the growing interest in AI, the scientific literature lacks multinational studies that examine how mainstream media depict AI applications. This paper is one of the first empirical studies to explore how French and English-speaking mainstream media portray AI during a pandemic. The purpose of this study is to examine how media define AI and how they frame this technology.

The authors selected five media outlets and extracted all news articles that mentioned AI over a period of 30 days. The authors constituted the sample to ensure a mix of global, national and local media newspapers. The authors included Le Temps (Switzerland), Le Monde (France), The Guardian (United Kingdom), Politico Europe (Europe) and the New York Times (USA). The authors used the NexisUni database to collect the news articles. This resulted in a sample of 54 articles, which the authors then refined to 35 articles mentioning at the same AI and COVID-19. They then manually coded to identify media frames about AI.

Although no news article provides a definition of AI, most articles highlight two main characteristics: information processing and adaptability. This paper also shows that the coverage of AI in US newspaper is more optimistic than pessimistic. European newspapers offer a more balanced perspective of the risks and benefits associated with the technology, and highlight its use mainly in the context of the COVID-19. Media framing changes according to the evolution of the pandemic. While the USA were not yet heavily affected by the virus, Europe experienced the peak of the crisis. The authors argue that the framing of AI follows that of the pandemic.

This study is limited in terms of timeframe (30 days) and media outlets (5). It would be useful to extend this sample to verify the results, and also conduct interviews among journalists to understand their motivations and understanding of AI.

Despite the growing interest in AI, the scientific literature lacks multinational studies that examine how mainstream media depict AI applications in society. This paper is one of the first empirical studies to explore how French and English-speaking mainstream media portray AI during a pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2020-0393

The influence of research on decisions concerning black consumers by mainstream marketers between 1920 and 1970 is to be examined. Market opportunity analysis provides a theoretical foundation. The paper aims to discuss these issues.

This study is based on examination of rare books, archival and proprietary documents housed at the Hartman Center for Sales, Advertising and Marketing History at Duke University; the Schomburg Center for Research in Black Culture at the New York Public Library; the Museum of Public Relations and relevant literature concerning research on black consumers.

Mainstream companies were motivated to pursue black consumers on the basis of attractive consumption habits, demographic and psychographic characteristics revealed by informal and formal research available as early as the 1920s. During and after the Second World War, research on black consumers became widely available to corporate executives through the trade press, trade associations, academic literature and internal corporate efforts. White and black scholars, entrepreneurs and marketing professionals were instrumental in collecting, disseminating and interpreting information regarding African-American consumers. Research not only prompted corporate interest in the black consumer market by appealing to profit motives, but also encouraged ground-breaking change in the way that blacks were addressed and portrayed in marketing materials.

This examination expands the literature by introducing information from materials not previously analysed which explains interest in black consumers from marketers' perspectives. Analysis indicates that economic self-interest, more so than social pressures driven by civil rights efforts, prompted mainstream marketers' interest in black consumers. At the same time, socioeconomic gains associated with civil rights advancements transformed African-Americans into an attractive consumer segment widely recognized by mainstream marketers.

There is a lack of a framework that explicates how to determine the benefits that consumers desire from a product. The purpose of this article is to formulate a scientific procedure for discerning the benefits that consumers seek from a product. The authors term this procedure as visual thematic analysis (VTA). VTA procedure is illustrated through discerning the benefits of mainstream (non‐financial) English newspapers.

The focus group method was used to collect data. These data were analyzed using visual thematic analysis which involves using multiple investigators and multi‐dimensional scaling techniques in stages.

A total of 26 newspaper attributes combined to form eight distinct newspaper benefits namely ease of comprehension, journalistic values, critical insights, general news, entertainment, well‐being, classifieds and offers.

Obtained results may be used further: to segment the newspaper market based upon benefits sought, to position newspapers within the desired segment(s) and to fashion product mix in a way that appeals to the targeted segment(s).

This paper proposes a new method called “visual thematic analysis” for data reduction. One such application of VTA is “discerning product benefits” which is discussed in detail. Other applications of this technique that are mentioned in the paper are in the areas of data reduction when researcher confronts small sample size, data reduction of categorical variables and scale development.

President Bill Clinton has had many opponents and enemies, most of whom come from the political right wing. Clinton supporters contend that these opponents, throughout the Clinton presidency, systematically have sought to undermine this president with the goal of bringing down his presidency and running him out of office; and that they have sought non‐electoral means to remove him from office, including Travelgate, the death of Deputy White House Counsel Vincent Foster, the Filegate controversy, and the Monica Lewinsky matter. This bibliography identifies these and other means by presenting citations about these individuals and organizations that have opposed Clinton. The bibliography is divided into five sections: General; “The conspiracy stream of conspiracy commerce”, a White House‐produced “report” presenting its view of a right‐wing conspiracy against the Clinton presidency; Funding; Conservative organizations; and Publishing/media. Many of the annotations note the links among these key players.

Algorithms are in the mainstream media news on an almost daily basis. Their context is invariably artificial intelligence (AI) and machine learning decision-making. In media articles, algorithms are described as powerful, autonomous actors that have a capability of producing actions that have consequences. Despite a tendency for deification, the prevailing critique of algorithms focuses on ethical concerns raised by decisions resulting from algorithmic processing. However, the purpose of this paper is to propose that the ethical concerns discussed are limited in scope and suggest that it is not clear what concerns dominate the debate.

The paper uses a systematic mapping study approach to review articles appearing in leading UK national papers from the perspective of the ethical concerns over a period of one year. The articles are categorised using a widely cited framework detailing a taxonomy of ethical concerns. The UK context is important because of UK public policy initiatives around AI.

The research presented in this paper contributes the first systematic mapping study of articles appearing in leading UK national papers from the perspective of widely accepted ethical concerns such as inscrutable evidence, misguided evidence, unfair outcomes and transformative effects.

The research presented in this paper contributes the first systematic mapping study of articles appearing in leading UK national papers from the perspective of the ethical concerns. The UK context is important because of UK public policy initiatives around AI. To review the media content from the perspective of ethical concerns, this paper uses the synthesised conceptual map of ethical concerns developed by Mittelstad et al. Given the dominance of that framework, this paper’s contribution is also an important instantiation and experimental validation of using that conceptual map.

This paper aims to explore how homelessness affects access to information serving higher‐level needs such as identity formation and social interaction.

A multi‐disciplinary literature review informed the design of 18 semi‐structured interviews as well as their subsequent analysis. The interview data were intended to be qualitative and exploratory since they addressed a perceived gap in the information and library science literature.

Findings present the ways in which interviewees managed to access information and the way such information helps socialisation and well‐being.

The study focused on individuals who were potentially more confident and resourceful. The study is also limited to Glasgow which has relatively good provision for the homeless. Further research in a different locale and among less confident individuals would be necessary to corroborate findings in this regard.

The findings confirmed a fundamental research assumption that homeless individuals would pursue higher‐level needs alongside more basic physiological needs. This has practical implications for public libraries' service provision to homeless populations, and also suggests there is greater room for collaboration between libraries and homeless service agencies.

The paper addresses a gap in the literature concerning homelessness and higher‐level needs. This has implications for the provision of information and services within both public libraries and organisations serving the homeless. Findings also challenge widespread assumptions regarding the “otherness” or distinctiveness of people who are homeless.