Headlines Of Articles Research Articles

Media Framing of Athletic Department Major Infractions: A 5-Year Review of Historically Black Colleges and Universities

Media coverage of Historically Black Colleges and Universities (HBCUs) often focuses excessively on challenges and deficits, influencing public perceptions, but there is little research on media portrayals of HBCU infractions. This study delves into the portrayal of Division I HBCU infractions from 2016 to 2020 through a textual analysis of 60 article headlines from local, regional, and national newspapers. The research examines general framing strategies, temporal changes, specific frames, prominent themes, and attribution of responsibility. Results indicate that the media often frames these infractions episodically rather than thematically over the 5-year span, with limited case details. The headlines emphasized specific issues of reprimand and redemption, often holding the organization accountable. Newspapers contribute to public opinion on athletic infractions by presenting these incidents in an engaging narrative. This study highlights the need for a more nuanced understanding of how media shapes perceptions of HBCUs, especially in the context of athletic infractions.

Biases in Information Selection and Processing: Survey Evidence from the Pandemic

Abstract We conduct two survey experiments to study which information people choose to consume and how it affects their beliefs. In the first experiment, respondents choose between optimistic and pessimistic article headlines related to the COVID-19 pandemic and are then randomly shown one of the articles. Respondents with more pessimistic prior beliefs tend to prefer pessimistic headlines, providing evidence of confirmation bias. Additionally, respondents assigned to the less preferred article discount its information. The second experiment studies the role of partisan views, uncovering strong source dependence: news source revelation further distorts information acquisition, eliminating the role of priors in article choice.

The image of the Chechen War on the pages of the American daily newspaper The New York Times: headline review

The subject of the research in the article is the image of the First and Second Chechen Wars, created by journalists of The New York Times newspaper in the 1990s and reflecting the views of the American democratic public. The subject of the study is the headlines of articles related to this topic in the American daily newspaper The New York Times. At the end of the 20th century, the periodical press continued to play a significant role in public life, including shaping the news agenda and creating the image of certain events. Often, journalists sought to impose their vision of Russian politics on the reader. Reputable publications, avoiding the techniques of the "yellow press", used more subtle and unobvious manipulative forms. Such manipulations include the newspaper's choice of lexical units with a certain connotation and the frequency of their use. In this study, the author attempts to explicate the hidden information that is embedded in the headlines of The New York Times. To analyze the information identified by the author in the headlines of The New York Times newspaper, the article used methods such as historical, comparative and quantitative content analysis. The novelty of the study lies in the fact that the headlines of The New York Times newspaper of this period were first considered as a source of analysis of the transforming view of the American democratic press on the events of the First and Second Chechen Wars. According to the results of the study, the following conclusions were drawn: the image of the Chechen conflict of the 1990s in the American press has undergone significant changes. If the First Chechen War in The New York Times appears as a legitimate struggle of the Russian authorities against the separatist movement in Chechnya, albeit with a number of critical remarks, then the image of the Second Chechen War is radically different from the previous campaign. The newspaper presents the events of the Second Chechen Campaign as a new colonial war, while the emphasis was shifted towards criticizing the Russian leadership for violating human rights and freedoms in the Chechen Republic, as well as a direct impact on destabilization in the North Caucasus region.

Predicting Sensationalism in Suicide Story Headlines.

Objective: Suicide is a leading cause of death in the United States, and media publicity plays a role in suicide rates. The United States offers guidelines for the reporting of suicide. This study evaluated guideline adherence in newspaper and newswire publications covering celebrity suicide deaths. The research also assessed whether the sensationalism of article headlines could be predicted by variables reflecting nonadherent reporting. Method: Publications from 2013 to 2018 reporting on nine celebrity suicides were evaluated via content analysis. Adherence was assessed in a two-step hierarchical linear regression to determine which variables predicted sensationalism in headlines. Results: Overall adherence to reporting guidelines was moderate. Newspaper disclosure of suicide method only, suicide method and location, and note contents significantly predicted headline sensationalism in the first regression model, R2 = 22%. The sensationalism in the body of the article and other variables additionally predicted headline sensationalism in the second regression model, R2 = 55%. Limitations: This study is limited to celebrity suicide reporting and may not reflect media reporting trends of noncelebrity suicide deaths. Conclusion: Findings reveal that sensationalism in the body of the article and other variables uniquely contributed to sensationalism in newspaper headlines. This suggests that the public could be at risk for reading harmful content not consistent with reporting recommendations about suicide because of the initial attraction to sensational headlines.

Structural and syntactic features of article titles about coronavirus

Over the past few years, articles regarding COVID-19 have remained pertinent in various media outlets, the internet and other communication platforms, which has ultimately resulted in the significance of the coronavirus topic not just in medical research, but also in the linguistic realm. Studying headlines of articles about coronavirus poses a challenge for researchers. The issue arises due to the significant role of journalism in influencing public opinion and the readership. Additionally, modern society's fascination with the coronavirus infection and the pandemic complicates the study further. The importance of this study is due to the newness of the subject matter, with limited coverage in scientific literature. The aim of this article is to examine the structural and semantic characteristics of article headings relating to the coronavirus. To achieve this goal, several tasks need to be accomplished. Firstly, it is necessary to identify and analyse the characteristics of the headline as part of the journalistic text, its various types and functions, and its consistency with the content of the article. Secondly, a study must be conducted on the structural and semantic features of the coronavirus-related article headlines. This includes determining the frequency of usage of different structural patterns of simple and complex sentences in both British and Russian publications, and examining the impact of these patterns on the readers' perception of the article's content. According to the research, it was concluded that the title of a publication serves a dual purpose as an independent unit and an essential component of the text. The title has various functions, including graphic-excretory, informative, nominative, and advertising-expressive. It is characterised by its brevity, nominativeness, and written fixity which contribute to its effectiveness.

The metaphor of the coronavirus in the Chinese Internet space

The object of the study is headlines about a new coronavirus infection in the Internet space. The subject of the study is the metaphors used in the representation of COVID-19 in the headlines of the Chinese media. As a result of the analysis of more than one hundred and fifty headlines of articles about coronavirus infection in the Internet space of China, published in the period from 2019-2021, the author identified more than fifty metaphors. The aim of the study was to identify metaphorical groups and translate metaphorical representations of coronavirus into Russian, taking into account extralinguistic factors. The relevance of this study is determined by the interest in the coronavirus pandemic and China as the alleged source of the disease. Mass media have a great influence on all spheres of human activity, and in the era of intensification of life and economy of linguistic efforts, a special role in the modern information space is assigned to the title. To identify and analyze the features of the COVID-19 representation, such research methods as the method of linguistic and cultural analysis, contextual analysis, component analysis, classification method, comparison method, generalization method, quantitative calculation and descriptive method are used. As a result of the analysis, seven thematic groups of metaphors were identified, the percentage was distributed as follows: 1.Coronavirus as a war - 37% 2.Coronavirus as a threat uniting people - 17% 3.Coronavirus as a dark entity - 14% 4.Coronavirus as a warning to humanity - 12% 5. New heroes in the conditions of the coronavirus epidemic - 10% 6.Coronavirus as an unpredictable event - 6% 7.New objects and phenomena in the conditions of coronavirus - 4% The studied language material allows us to observe the dynamics of the emergence and development of the coronavirus metaphor as a military action. The author concludes that the use of the metaphorical model "War" is one of the most active ways to conceptualize the spread of Covid. Interlanguage studies are of particular theoretical and practical importance in order to determine the national specifics of metaphors and linguistic universals.

Euphemistic Headlines in Economic News Articles of German Newspaper ‘Die Tageszeitung’

Analysis of Euphemized Headlines on Economic Issues from the German Electronic Publication ‘Die Tageszeitung’. The study examines articles from the period 2022 to 2023, as this timeframe coincided with heightened attention from German media towards events related to the energy crisis and economic problems. The relevance of this research lies in the fact that economic issues often give rise to the emergence of new euphemisms and euphemistic expressions. Based on criteria such as denotation of undesired referents and improvement of referent characterization, euphemized article headlines were identified. A total of 44 euphemistic expressions were selected using a comprehensive sampling method. The authors provide detailed commentary on each expression from the perspective of hedging techniques. A classification of euphemistic expressions in German-language journalistic discourse is proposed, encompassing five thematic groups: povertywealth, strikes, work, price increases, and inflation. It is noted that the group of headlines addressing inflation and price increases (particularly in relation to gas and electricity) is most susceptible to euphemization. The authors conclude that German journalists employ various euphemistic techniques in their headlines, including loanwords, compound words, wordplay, and others.

О СЕМАНТИЧКО-СТИЛСКИМ ОСОБЕНОСТИМА УПОТРЕБЕ ЕТНИЧКИ ОБИЉЕЖЕНИХ ЛЕКСЕМА КАО ПОГРДНИХ У НОВИНСКИМ НАСЛОВИМА

Ethnic stereotypes are very persistent over time and become particularly pronounced and hostile when there are tensions between groups or nations. They are present in any group on a daily basis, so often the members of that group are not even aware of them. The subject of our paper will refer to pejorative expressions in which the nuance of negative expressiveness, i.e. a mocking, contemptuous, insulting or ironic semantic component is realized in expressions with an ethnonymic component in the headlines of newspaper articles. The negative connotation of ethnic terms is most often based on individual, personal or collective, social judgment about a certain entity, which results in the formation of an expressiveemotional semantic component, i.e. pejorative meaning. The role of discrediting as an act of speech is not linguistic or communicative, but political. And it is precisely for political discourse in the media that expressive, suggestive or coloured language is common. The material for this research will be the electronic newspaper corpus (daily press and information portals), and the texts from which we have excerpted examples fall under the form of news and reports.

Some peculiar features of military articles headlines in English press

This article focuses on some lexical and stylistic peculiarities in the headlines of the military articles in English. At the beginning of the article it describes the main functions of the headlines of newspaper articles and their aims in modern printed and electronic publications. The author mentions nominative and informative, evaluative, advertising and esthetic functions which are not isolated, but interconnected in the newspaper headline as a media text. Further the text of the article deals with stylistic analysis, the author considers scientific and technical functional style together with official and business one, at the crossroads of which the style of writing the headlines is. Characteristic features of both styles are given. Official and business style gives military texts and headlines corresponding language character, logic, exactness, clarity, objectivity, concreteness, austerity. At the same time scientific and technical style is united with headlines by the usage of terminology, connected with warfare. In this research the morphological, syntactic, lexical, grammatical features of building headlines in the military articles in English are analyzed using the examples of headlines taken from The Guardian, The New York Times, The Telegraph, The Washington Post, The Times. The article also explains the attraction of military headlines by the usage of such unusual language structures as stylistic devices. Some stylistic devices are mentioned and defined, such as alliteration, speech and language epithets, metaphor, allusion. Examples of them are given. These are language constructions which help to make the headline interesting and memorable.

Conflict and Conflicting News Discourses: An Analysis of Newspaper Coverage of Pulwama Attack

ABSTRACT Discourse analysis is used to investigate print media coverage of the Pulwama attack of 2019, a recent development in the Kashmir conflict between India and Pakistan that pushed the nuclear-armed Asian neighbours to the brink of war. To identify the news discourses, 686 headlines of news articles published in six popular newspapers on the attack and its aftermath during February 15–25, 2019, are analysed. Three levels of discourse analysis are employed: Lexical choices, social languages and conversations. Under lexical choices, the headlines are analysed to identify the bags of words used to represent places and actions, along with the literary-rhetorical devices employed. With the social languages tool, the assumed identities and intentions of the headline writer are deduced, while the conversations tool is used to identify and categorise the events covered, issues raised, actors and institutions involved and their arguments in the headlines. Five distinct discourses—News, Political, Critical, Conflict and Peace—are thus identified and characterised. Further, consulting critical discourse theories, the study findings are used to discuss the interplay of media, discourses and power, and theorise on the sociopolitical powerplays that regulate those journalistic discourses, discussing implications and the way forward for the journalists and journalism practice covering conflicts.

The Impact of Dissemination of Sexual Violent Issues on Social Media on The Group of Women Living Alone

This research paper seeks to examine how the spread of violence on social media affects the group of women living alone. The study used several methods to achieve this. Firstly by analysing news article headlines or other reports of sexual violence on social media, and secondly, by interviews with women living alone. The results show that different social media will report news about sexual violence in different ways; for example, TikTok presents events in a sensory stimulating way like videos, which will spread much more and evoke strong emotions in many people. On the other hand, Twitter mostly features official or traditional news agencies reporting on cases, with more emphasis on legal measures to reduce the fear of the public. Therefore, these two social media platforms can bring different feelings to women living alone through different modes of presentation. The interviews with the group of women living alone illustrate the different thoughts and emotions that most women living alone have when they share their experiences of sexual violence or talk about their experiences. It also shows the unequal status of women in this society and the pressure of public opinion

APSN: Adversarial Pseudo-Siamese Network for Fake News Stance Detection

Fake news is a longstanding issue that has existed on the social network, whose negative impact has been increasingly recognized since the US presidential election. During the election, numerous fake news about the candidates distributes vastly in the online social networks. Identifying inauthentic news quickly is an essential purpose for this research to enhance the trustworthiness of news in online social networks, which will be the task studied in this paper. The fake news stance detection can contribute to detect a startling amount of fake news, which aims at evaluating the relevance between the headline and text bodies. There exists a significant difference between news article headline and text body, since headlines with several key phrases are usually much shorter than the text bodies. Such an information imbalance challenge may cause serious problems for the stance detection task. Furthermore, news article data in online social networks is usually exposed to various types of noise and can be contaminated, which poses more challenges for the stance detection task. In this paper, we propose a novel fake news stance detection model, namely Adversarial Pseudo-Siamese Network model (APSN), to solve these challenges. With coupled input components with imbalanced parameters, APSN can learn and compute feature vectors and similarity score of news article headlines and text bodies simultaneously. In addition, by adopting adversarial setting, besides the regular training set, a set of noisy training instances will be generated and fed to APSN in the learning process, which can significantly enhance the robustness of the model. Extensive experiments have been conducted on a real-world fake news dataset, and the experimental results reveal that the presented model exceeds compared suspicious information detection models with significant advantages.

Translation features of BBC media article headlines (evidence from English and Russian equivalents)

The aim of this paper is the analysis of the translation features, typical of BBC article headlines. The material included 107 news headlines selected randomly, which had their Russian equivalents. A semantic and comparative analysis served as the research method. The close attention to media texts in the era of digital technology proliferation explains the relevance of the study. The findings show that translation equivalents convey both the communicative and pragmatic potential of the original headlines. For this purpose, a complex of semantic transformations is used for maintaining the adequate meaning of original news in the target language, considering background knowledge of the target audience. The theoretical value lies in the fact that media headlines constitute an individual sub-genre which requires special research. The results can be used in the practice of teaching translation techniques to students specializing in linguistics and translation studies.

Маніпулятивні повідомлення в заголовках новинних інтернет-ресурсів

In this article, the author analyzes headlines on digital platforms of media sources, paying special attention to the manipulative content of the delivered messages. The research is based on the material of three websites, the authors of which manipulate the emotions of the recipients while providing information – “Tarasova Pravda“, “Naspravdi.Today”, and “Politeka”. The basic aspects of suggestive influence and manipulation of information during the speech act are defined and explained. In today’s rapidly evolving digital landscape, understanding the linguistic mechanisms of manipulation and suggestion in written texts is becoming increasingly crucial. This study not only sheds light on the deceptive methods employed in the headlines of Ukrainian-language online media resources but also highlights the importance of fostering media literacy among consumers. By enhancing awareness of manipulative tactics and promoting critical thinking skills, individuals will be better equipped to discern fact from fiction, ultimately contributing to a more well-informed society. The advancement and proliferation of cutting-edge information and communication technologies have led to an escalation in dissemination of manipulative texts. It can be posited that suggestion operates as a crucial instrument of verbal manipulation in written materials. Consequently, our investigation primarily focuses on examining manipulative texts (specifically, headlines within the context of this article) concerning their suggestive component. The research vectors for this issue encompass the linguistic analysis of manipulative texts for categorization purposes, recognition of suggestion components, exploration of linguistic methods employed for disinformation, and countermeasures against verbal manipulation. The objective of this article is to scrutinize the headlines of news articles featured on Ukrainian-language online media resources (based on materials from three websites: “Tarasova Pravda”, “Naspravdi.Today”, and “Politeka”), as well as to detect, classify, and interpret linguistic techniques of manipulation and suggestion used in messages, excluding the proportion of manipulative content. The conducted linguistic analysis based on the 100 headlines gives reason to claim that 66.67 % of the article headlines in the three news web portals we have investigated contain messages aimed at manipulating emotions – “Tarasova Pravda” (33.33 %), “Naspravdi.Today” (76.67 %), and “Politeka” (90 %).

Otiumportal: смислові домінанти текстового простору (на матеріалі заголовків статей про туризм)

The objective of the article was to determine the semantic dominants of text headlines on tourism topics, written by the students of ESIJ (Educational and Scientific Institute of Journalism) and published on OTIUMPORTAL website – a specialized information resource that positions itself as a creative workshop where the future journalists improve their skills and abilities. The task of the authors was to select the concepts, development of which demonstrated the semantic accents of headlines in their estimative and communicative characteristics, as well as to consider the linguistic means of different levels, due to which the semantic accent was manifested. When working with the material, the following methods were applied: the continuous sampling method, which allowed to select the titles according to ―validity of information‖ parameter, the methods of analysis and synthesis, the conceptual analysis, which contributed to identify the semantic dominants and to determine the role of semantic actualizers in the textual space, and also to enable the classification and the generalization of the obtained results. The descriptive method was applied to present the research to the scientific community. The selected research object (627 article headlines) was examined from the point of view of content and form. The analysis was carried out taking into account three levels of the headline text: 1) the semantic level, which presents an understanding of the semantic level of the sentence, the goal-setting of this mini text, interaction with presupposition; 2) the estimative level, in which the subjective (evaluative) principle is the most evident, and 3) the communicative level, which demonstrates the reader‘s encouragement to communicate. The main results of the research are: determination of the headlines‘ semantic dominants in interaction of meanings of the concepts ―journey‖, ―topos‖, ―emotions‖, highlighting the ways of semantic deployment of these concepts through definitions, granularity, precedent text, identification of forms of implementation of communicative intentions.

Using Data Mining in the Sentiment Analysis Process on the Financial Market

Abstract Sentiment analysis refers to the analysis of human opinions and sentiments that are expressed in written text, being also a part of the Natural Language Processing (NLP) tasks. Sentiment analysis can be applied in different domains, especially in the corporate marketing and sales, the healthcare system or the financial market analysis. In this paper we aim to highlight how data mining is able to extract the sentiment score from a financial platform that shows the major headlines regarding stocks, in order to highlight the publications’ positive or negative opinion over a stock. In order to gain the sentiment score we have scraped text data from the platform Finviz from which the polarity of the opinion may be extracted. We have also used Valence Aware Dictionary for Sentiment Reasoning (VADER), by running a Python script using the BeautifulSoup library. After that we have used Pandas (Python Data Analysis Library) to analyse and obtain a sentiment score on the article headlines. Results show that the script is able to generate the sentiment score for various selected stocks, while also showing graphical diagrams for the past and future trend of the stock, in terms of overall opinion on the stock performance.

Anonymous view on transgender soldiers: content analysis of online news headlines and comments in South Korea

BackgroundThe inclusion of transgender soldiers in the military service raises a fundamental question about the dichotomous categorization of human sexes based on anatomy and gender role within a specialized organization where the most masculine is commonly accepted. In March 2021, Hee-Soo Byun, the first transgender soldier in Korea to come out in public, and who was forcefully discharged after gender affirming surgery, died by suicide. With no anti-discrimination laws, the cultural background of the Korean society hardly creates an LGBT (Lesbian, Gay, Bisexual, and Transgender) — friendly environment and shows a negative attitude towards gender minorities.MethodsA total of 193 online news article headlines were analyzed, and 1046 comments were categorized inductively based on the presented rationales.Results: Before Byun’s public appearance, the frequent use of provocative expressions, which could evoke prejudice and discrimination, was found in published article headlines. Of the 724 comments that presented opinions on transgender soldiers, approximately 75% opposed Byun serving in the military in any form, including as a female soldier.ConclusionsThis study aimed to investigate online news articles and the comments regarding Byun’s case to estimate the acceptability of transgender people serving in the military. The results of this study are expected to serve as a basis for the formulation of policies that protect the human rights of transgender people.

The role of intellectual humility in predicting investigative behavioral tendencies in COVID-19 vaccine news

During Coronavirus Disease 2019 (COVID-19) pandemic, the spread of fake news on social media occurred massively. To avoid any negative impacts, people are expected to exhibit investigative behavior towards the news they encounter, including conducting fact checks. Previous research has shown that intellectual humility can influence investigative behavior when exposed to fake news about COVID-19. This study aims to examine intellectual humility’s ability to predict investigative behavior when dealing with news about the COVID-19 vaccine. The study involved 227 students (157 female and 70 male, M = 21, SD = 1.19) as respondents who were selected by convenience sampling. The instruments used in revealing the two variables are the General Intellectual Humility Scale, headlines of news articles about the COVID-19 vaccine, and the scale of investigative behavior tendencies towards news about the COVID-19 vaccine. The results showed that intellectual humility could predict investigative behavior towards fake (B = 0.89; 95% CI [0,62, 1,15], p < 0,001) and fact news headlines (B = 0,87; 95% CI [0,60, 1,15], p < 0,001) about the COVID-19 vaccine. This finding implies that higher intellectual humility in individuals is predicted to increase investigative behavior towards news about the COVID-19 vaccine.

News reporting of suicide in nurses: A content analysis study.

Media impact on suicide is well-established. Groups at heightened risk of suicide, such as nurses, may be particularly influenced by poor news reporting. This study aimed to examine UK newspaper reporting of suicide of nurses and student nurses, including during the COVID-19 pandemic. Print and online newspaper reports about suicide in nurses (including students) published in the UK between January 2018 and August 2021 were obtained and data extracted for analysis in collaboration with Samaritans' media advisory team. Content and quality of newspaper reports were examined using a content analysis approach. The study was compliant with the STROBE checklist. Nurse or student nurse suicides were reported in 134 articles, including 50 individual suicides. Most articles were acceptable against Samaritans' media guidelines. However, common problems included absence of signposting to support organizations and lack of suicide prevention messages. A minority of articles included methods of suicide within article headlines (18, 13.4%) and sensationalist or romanticizing language (14, 10.7%). Most contained occupation-related content. Many named the individual's specific hospital or university and a substantial proportion included occupation-related images. Working on the frontline was the most reported link between COVID-19 and nurse suicide. While reporting on suicide among nurses and students was largely acceptable, quality of reporting was variable. Occupation was often discussed, and most articles published during COVID-19 linked suicide to the pandemic. The research findings can help shape guidance on reporting of suicide in specific professions and occupations, including nursing, to encourage responsible reporting and reduce inadvertent promotion of suicide.

Clickbait Detection of Indonesian News Headlines using Fine-Tune Bidirectional Encoder Representations from Transformers (BERT)

The problem of the existence of news article that does not match with content, called clickbait, has seriously interfered readers from getting the information they expect. The number of clickbait news continues significantly increased in recent years. According to this problem, a clickbait detector is required to automatically identify news article headlines that include clickbait and non-clickbait. Additionally, many currently existing solutions use handcrafted features and traditional machine learning methods, which limit the generalization. Therefore, this study fine-tunes the Bidirectional Encoder Representations from Transformers (BERT) and uses the Indonesian news headlines dataset CLICK-ID to predict clickbait (BERT). In this research, we use IndoBERT as the pre-trained model, a state-of-the-art BERT-based language model for Indonesian. Then, the usefulness of BERT-based classifiers is then assessed by comparing the performance of IndoBERT classifiers with different pre-trained models with that of two word-vectors-based approaches (i.e., bag-of-words and TF-IDF) and five machine learning classifiers (i.e., NB, KNN, SVM, DT, and RF). The evaluation results indicate that all fine-tuned IndoBERT classifiers outperform all word-vectors-based machine learning classifiers in classifying clickbait and non-clickbait Indonesian news headlines. The IndoBERTBASE using the two training phases model gets the highest accuracy of 0.8247, which is 0.064 (6%), outperforming the SVM classifier's accuracy with the bag-of-words model 0.7607.