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The headlines of online news are created carefully to influence audience news selection today. The purpose of this paper is to investigate the relationships between news headline presentation and users’ clicking behavior.

Two types of unobtrusive data were collected and analyzed jointly for this purpose. A two-month server log file containing 39,990,200 clickstream records was obtained from an institutional news site. A clickstream data analysis was conducted at the footprint and movement levels, which extracted 98,016 clicks received by 7,120 headlines ever displayed on the homepage. Meanwhile, the presentation of these headlines was characterized from seven dimensions, i.e. position, format, text length, use of numbers, use of punctuation marks, recency and popularity, based on the layout and content crawled from the homepage.

This study identified a series of presentation characteristics that prompted users to click on the headlines, including placing them in the central T-shaped zones, using images, increasing text length properly for greater clarity, using visually distinctive punctuation marks, and providing recency and popularity indicators.

The findings have valuable implications for news providers in attracting clicks to their headlines. Also, the successful application of nonreactive methods has significant implications for future user studies in both information science and journalism.

Purpose – The CSI effect, as it is referenced in mainstream media, is a purported effect on public perceptions caused by the portrayal of forensics and investigations in popular entertainment programming. Despite the obvious popularity of the programs – a common source of blame for such effects and the focus of limited prior research – impacts on perceptions by way of media content must be viewed as a product of multiple internal and external factors, rather than a result of popularity and viewership alone.

Methodology – By examining the portrayal of programming within the context of contemporary news publications, this project focuses on the value and context of presentations of forensics television programming across media genres, highlighting the bidirectional flow of popular media cues through various influential media outlets and outlining the potential for resulting public effects.

Findings – The authors find that an increase in the overall media visibility of entertainment images of forensic science, coupled with news media's tendency to tie such images to real-world forensics on the local and national scenes given an absence of alternative sources for news-oriented stories, speak to the importance of the holistic examination of the role of CSI-related programming in influencing popular perceptions.

The purpose of this study is to examine the most frequent countries and prevalent discourses in the context of homosexuality in the headlines of Arabic-language media outlets.

This study combined both corpus linguistic (CL) quantitative and critical discourse analysis (CDA) qualitative approaches to analyse five thousand two hundred news headlines that were retrieved from the Factiva news database from 2010 to 2019.

There were six main categories of subjects covered by the media in the context of homosexuality, namely crime, extremist groups, legislation, authority figures and scandals, culture and countries. The analysis showed that the countries whose laws criminalize homosexuals were more frequent than those seen to be supportive of homosexuals. The findings revealed that homosexuals are under-covered in the Arab media, and whenever they are present in the news reports, they are depicted negatively.

This study examined the representation of homosexuals in Arabic headlines from 2010 to 2019. Future researchers may investigate their construction in the body of the articles in different periods and languages.

The present research has implications regarding the necessity of objectivity in covering news about minority groups without being influenced by the stock of ideas circulating in the culture where media outlets report.

The social implications include enhancing the principles and values of solidarity and respecting all groups in society.

Although there is considerable literature on the representation of homosexuals in media outlets, the number of articles that investigated the same concept in the Arab region is relatively limited to the best knowledge of the researchers. Therefore, this study can add great significance to existing knowledge as it tackles a limitedly investigated topic in the Arab world.

The aim of this paper is to contribute to the understanding of how the internet interacts with businesses and markets. The authors aims to focus on the internet press releases of annual results to illustrate how corporate communication is used and managed strategically online.

The authors describe the increasing importance of the internet for communicating firms' performance to investors, financial media and the stock market, then identify and discuss a number of techniques that might be used to potentially manipulate the online presentation of financial results. Thus the authors conducted a content analysis of the internet press releases in two consecutive years (2008 and 2009) by a wide range of companies listed in the IBEX 35 share index.

This paper provides in‐depth insights into content analysis techniques by providing examples of how potentially misleading disclosure practices are included in press releases. Moreover the paper investigates the use of seven potentially misleading disclosure practices appearing in press releases that optimise the way in which company results are presented.

Regulators may consider the normalisation of the content of internet press releases to avoid or reduce opportunistic disclosure practices. Moreover, investors should be aware of the use of these practices to reduce the misleading effect when processing corporate information.

This pioneering study analyses and provides evidence of potentially misleading internet‐based disclosure strategies. Furthermore the paper proposes a set of measures for corporate information presentation.

This paper aims to develop a holistic measure for analysing impression management and for detecting bias introduced into corporate narratives as a result of impression management.

Prior research on the seven impression management methods in the literature is summarised. Four of the less‐researched methods are described in detail, and are illustrated with examples from UK annual results' press releases (ARPRs). A method of computing a holistic composite impression management score based on these four impression management methods is developed, based on both quantitative and qualitative data in corporate narrative disclosures. An impression management bias score is devised to capture the extent to which impression management introduces bias into corporate narratives. An example of the application of the composite impression management score and impression management bias score methodology is provided.

While not amounting to systematic evidence, the 21 illustrative examples suggest that impression management is pervasive in corporate financial communications using multiple impression management methods, such that positive information is exaggerated, while negative information is either ignored or is underplayed.

Four impression management methods are described in detail, illustrated by 21 examples. These four methods are examined together. New impression management methods are studied in this paper for the first time. This paper extends prior impression management measures in two ways. First, a composite impression management score based on four impression management techniques is articulated. Second, the composite impression management score methodology is extended to capture a measure for bias, in the form of an impression management bias score. This is the first time outside the USA that narrative disclosures in press releases have been studied.

This study investigates how media brand knowledge, defined as a structural feature of the message, influences emotional and attentional responses to, and memory of, news messages.

Self-reports, facial electromyography (EMG) and electroencephalography were used as indices of emotional valence, arousal and attention in response to 42 news messages, which varied along the valence and involvement dimensions and were framed with different media brands varying along the familiarity and credibility dimensions.

Compared to the no-brand condition, news framed with brands elicited more attention. The memory tests indicated that strong media brands override the effect of involvement in information encoding, whereas details of news presented with Facebook were not well encoded. However, the headlines of news framed with Facebook were well retrieved. In addition, negative and high-involvement news elicited higher arousal ratings and corrugator EMG activity. News framed with familiar and high-credibility brands elicited higher arousal ratings.

Relevant for both brand managers and audiences, the findings show that building credibility and familiarity both work as brand attributes to differentiate media brands and influence information processing.

The results highlight the importance of media brands in news reading: as a structural feature, the brand is used as a proxy to process the message content. The study contributes by investigating how the type of source influences the reception and encoding of the mediated information; by investigating the emotional effects of brands; and by confirming previous findings in media psychology literature.

Stresses the importance of the effective management of the release of information to the media and the development of media relations. Considers reasons for good and bad press. Advises on the presentation of press releases, the elements of their content and their structure. Looks at how additional information should be supplied, and how photographs can be used to illustrate a story. Considers the need to know the media, and how press releases should be tailored to meet media requirements.

News agencies are important stakeholders for large organizations, since the news they distribute will be adopted by other news outlets, which influence public opinion and hence corporate reputation. The purpose of this paper is to advance the understanding of how corporate earnings press releases are transformed into financial news by investigating whether the frames introduced by companies are adopted or reframed by news agencies.

A content analysis of framing techniques in corporate earnings releases and their corresponding news-agency releases was performed, focussing on the financial figures and benchmarks presented, performance attributions, and the tonality of the texts.

The findings suggest that news agencies reframe earnings releases at the textual-pragmatic level by reducing their length, using fewer financial figures, and changing the position of these figures in the texts; they increase transparency by avoiding adjusted financial figures, qualifying figures, and adding analyst assessments; and they change the tonality by down-toning positive statements and highlighting negative aspects.

This paper makes a contribution to the field of corporate financial communication, which has not shed much light on the transformation of earnings press releases into financial news. In addition, this paper contributes to the stream of research on journalistic transformations of corporate press releases in general, which has ignored the influential role of news agencies as both manufacturers and wholesalers of news.

Financial price forecast issues are always a concern of investors. However, the financial applications based on machine learning methods mainly focus on stock market predictions. Few studies have explored credit risk predictions. Understanding credit risk trends can help investors avoid market risks. The purpose of this study is to investigate the prediction model that can effectively predict credit default swaps (CDS).

A novel generative adversarial network (GAN) for CDS prediction is proposed. The authors take three features into account that are highly relevant to the future trends of CDS: historical CDS price, news and financial leverage. The main goal of this model is to improve the existing GAN-based regression model by adding finance and news feature extraction approaches. The proposed model adopts an attentional long short-term memory network and convolution network to process historical CDS data and news information, respectively. In addition to enhancing the effectiveness of the GAN model, the authors also design a data sampling strategy to alleviate the overfitting issue.

The authors conduct an experiment with a real dataset and evaluate the performance of the proposed model. The components and selected features of the model are evaluated for their ability to improve the prediction performance. The experimental results show that the proposed model performs better than other machine learning algorithms and traditional regression GAN.

There are very few studies on prediction models for CDS. With the proposed novel approach, the authors can improve the performance of CDS predictions. The proposed work can thereby increase the commercial value of CDS predictions to support trading decisions.

This study set out to advance knowledge on the reporting of police shootings in print media. Media is the main source of information on criminal justice issues for most citizens. Thus, understanding the presentation of police-involved shooting incidents is important for determining the manner in which media might shape the opinions of readers.

The current study content analyzed relevant newspaper articles gathered from a large database of journalistic documents compiled by Lexis Nexis. Articles pertaining to police shootings published between January 1, 2014 and April 30, 2015, were identified and coded to document various dimensions of how these encounters are portrayed in print media.

Results indicate that explicit racialization of the stories was limited, which is contrary to what was expected. Neither the race of the suspect or officer was mentioned in most stories, making it difficult to assess explicit reporting bias of these incidents. However, results indicate that implicit bias might play a role in shaping the content portrayed in print news accounts of police-involved shootings.

The current study represents one of the first – if not the first – content analysis of news stories centered on police-involved shootings. Given the significant role media plays in delivering information about crime and justice topics to the citizenry, a working knowledge about the media’s portrayal of these events is important for understanding how media consumption may shape citizens’ opinions about police-involved shootings.