Single News Research Articles

Analysis of the Present and Future of the Korea Online Platform Regulation Using Latent Dirichlet Allocation

Purpose: This study was conducted to provide a comprehensive understanding of online platform regulation in South Korea. It aims to illuminate key issues related to online platform regulation from 2017 to 2021, exploring the current state and future prospects. The primary goal is to foster social discourse on online platform regulation and to offer valuable insights for policymakers and academics. Design/methodology/approach: The methodology involved collecting articles from a large news database using keywords associated with online platform regulation. This data was analyzed using Latent Dirichlet Allocation (LDA) topic modeling. This technique is instrumental in identifying themes and patterns within large volumes of text data, facilitating the identification of significant themes and trends related to online platform regulation. Findings: The study unearthed a variety of themes. Among the most significant are the impact of the COVID-19 pandemic and its ramifications, political aspects, the roles of major Korean corporations (e.g., Naver and Kakao), the influence of global tech giants, the impact of news and online communities, technology and innovation, and social issues. These themes indicate that online platform regulation in Korea is influenced by a multitude of factors. Research limitations/implications: While this study offers diverse perspectives on online platform regulation within Korea, it has limitations. Reliance on data from a single news source may restrict the study's diversity and depth. Future research should employ a variety of news sources to provide a broader perspective on online platform regulation. Originality/value: This research makes a significant contribution to the academic study and policy formulation in the field by analyzing the key themes and trends related to online platform regulation over time. By exploring the complex aspects of online platform regulation, the study provides new insights for policymakers, researchers, and the general public.

Breaking news: Unveiling a new dataset for Portuguese news classification and comparative analysis of approaches.

Every day thousands of news are published on the web and filtering tools can be used to extract knowledge on specific topics. The categorization of news into a predefined set of topics is a subject widely studied in the literature, however, most works are restricted to documents in English. In this work, we make two contributions. First, we introduce a Portuguese news dataset collected from WikiNews an open-source media that provide news from different sources. Since there is a lack of datasets for Portuguese, and an existing one is from a single news channel, we aim to introduce a dataset from different news channels. The availability of comprehensive datasets plays a key role in advancing research. Second, we compare different architectures for Portuguese news classification, exploring different text representations (BoW, TF-IDF, Embedding) and classification techniques (SVM, CNN, DJINN, BERT) for documents in Portuguese, covering classical methods and current technologies. We show the trade-off between accuracy and training time for this application. We aim to show the capabilities of available algorithms and the challenges faced in the area.

Information and communication activities and analytics during the Russian-Ukrainian war (on the example of social networks)

The article analyzes the importance of information and communication activities during the war. In particular, it is determined that today there is a battle between Ukraine and the Russian Federation for a narrative, where both countries are looking for legitimacy and success in spreading correct information for themselves, because the perception of these narratives directly affects the course of hostilities. The article outlines the main narratives promoted by Ukraine and Russia.
 The research hypothesis is that the world's first war of social networks is taking place in Ukraine. The interdependence between the spread of the mobile Internet, access to modern gadgets and the activity of propaganda activities in social networks is analyzed.
 The main attention in intelligence is paid to the Internet as one of the most influential channels of communication, which is capable of reaching the maximum number of recipients in the shortest possible time, who then distribute the necessary information independently. The article proves that it is social networks that contain a large share of disinformation, which is "thrown in" by information scraps and fake pages. It is noted that fake or untrue content has a much higher chance of spreading than true information.
 The article reveals the communication and technological specificity of the Internet environment in terms of propaganda influence, for which even the leading Ukrainian broadcasters (STUDIYA "1+1", "UA: First", "Rada", "ICTV", "STB" and "Ukraine 24 ") united in the joint telethon "Edyni Novyni" to show the official position of the state, sometimes use unverified information from the Internet and, accordingly, resort to spreading fakes or disinformation. In this context, the activity of the single news marathon against the background of the single information pool of Russia, which is under the control of the Kremlin, is analyzed.

The unbundling of journalism

Due to the switching behavior of online consumers, news outlets increasingly compete with each other to attract audience for each single news item they produce, rather than for complete editions of their newspapers: the so called unbundling of journalism. Using a standard Hotelling model, I show that online competition unambiguously reduces news articles’ quality, as compared to the scenario in which outlets compete to sell their newspapers (content bundles) to single-homing consumers. The unbundling of journalism also dampens outlets’ newsgathering activities when their ideological positions are relatively unimportant from consumers’ viewpoint. In this case, consumers are worse off in the online market for news, even though they consume more articles and have low disutility from switching.

Immediacy and Journalistic Authority For Reporting Environmental Disasters: Case Study Of 2022 Floods Of Pakistan

Real-time journalism is informing the public about the pace of the event that is happening. The story changes as time passes. It is playing with the nerves of the people as at that time the media is the only source of information and people are compelled to believe it. In the case of flood reporting and the reporting of the flood-affected areas makes the people of that area attentive and ready to take action upon the instructions of the media. In such a situation, as and when any single news channel tries to break the news of any emergency. Panic has been created in the target area and the people of that particular area try to escape from that area because they don’t know the volume of water coming in in such a situation many lives have expired due to the panic situation. The more dangerous is that the other news channels also follow the first line and start exaggerating the activity of that area and this becomes more dangerous because the people of target areas get frightened, and this makes their lives miserable. For this research, we have selected five Pakistani news channels during the 2022 flood in Pakistan. We will analyze the one-month highly flood season news reporting of these channels i.e. July 16 to August 15, 2022, how much news they break, and whether there was a need to flash that news as breaking news.

Media Reportage and the Perceived Attitudes of Electorates: A Case of the 2020 Presidential Elections in Ghana

The communication skills of politicians determine the attitudes of electorates towards the outcomes of national elections. However, media news framing of presidential elections affects and shapes the electorate’s perceived attitudes toward elections. This study employed a comparative experimental design to test the hypotheses by varying the valence and types of frames (i.e., positives vs. negative frames × thematic vs. episodic frames) to evaluate how these news frames affected the perceived attitudes of Ghanaian electorates towards the 2020 presidential election in Ghana. Stratified sampling approach was used to enroll 2,702 participants for this study from nine regions. The findings showed that the framing effects were few, weak, and not robust among the electorates in the nine regions. The findings further indicated that the perceived attitudes of electorates toward the elections were not consistent. The perceived attitudes towards the election were influenced by a single news frame and the effects of the news frames were not determined by a single news frame. Finally, the perceived attitudes of Ghanaian electorates toward the 2020 elections were found not to be determined by a particular news frame.

A hierarchical attention network for stock prediction based on attentive multi-view news learning

Stock prediction with news released on media platform is helpful for investors to make good investment decisions. Recent researches are generally based on single news view, e.g., headline or body, as a predictive indicator and thus information received is insufficient or incomplete which also lacks of study on market information, then bring low performances of models. In this research, we propose a hierarchical attention network based on attentive multi-view news learning (NMNL) to excavate more useful information from news and the stock market for stock prediction. The core of our approach is a news encoder and a market information encoder. In the news encoder, we learn multi-view news information representation from news headlines, bodies and sentiments by regarding them as three independent parts. We find that the combination of headline, body and sentiment outperforms conventional models on single news view. In the market information encoder, we employ the attention mechanism to capture pivotal news information and combine technical indicators to represent representative market information. In addition, a temporal auxiliary based on Bi-directional Long Short-Term Memory (Bi-LSTM) model is used to generate the contextual market information for stock prediction. Extensive experiments demonstrate the superiority of NMNL, which outperforms state-of-the-art stock prediction solutions.

Examining Audience Trust of Official Source and Whistleblower Information Disclosure in News Stories

The use of whistleblowers as sources is an important part of journalistic practice. Does news media’s reporting on information disclosed by whistleblowers affect audience trust — an already shaky relationship that has been strained over the past few decades? This study performed a 2 x 2 between subjects online experiment to test audience trust in whistleblowers and official sources, manipulating the source (official source/whistleblower) and gender (male/female) of a single news story. Preliminary findings include self-identified conservatives trusted whistleblowers more than official sources, while liberals reported the opposite. Also, considering the predominant historical use of males as official sources in stories, women were found to be overall more trustworthy than men in nearly all conditions. This research is a work in progress, though limitations and opportunities for future research are also discussed.

KoBERTSEG: 한국어 BERT를 이용한 Local Context 기반 주제 분리 방법론

Topic segmentation refers to the work of separating a document consisting of several topics into unit documents, such as paragraphs, with one single topic. Topic segmentation has been considered as one of main preprocessing step prior to performing natural language processing tasks, such as document summary or document classification. This paper proposes a Korean BERT-based news article segmentation method aiming at separating a single news article, in which multiple subjects exist, into news segments, each of which contains a single subject. The proposed model has the advantage of being able to capture a wider range of semantic relationships compared to existing topic segmentation studies by borrowing a structure proposed for document summarization. Experimental results on a Korean news article dataset show that the proposed method outperform the benchmark models for topic segmentation. In addition, we also show that the proposed method can be used for practical news clip summarization task, supporting the possibility of implementing the application service based on Korean topic segmentation model.

A legyőzhetetlenség listája

Owing to the propaganda campaign which accompanied the actual military campaign of the Invincible Armada against England in 1588 and which was employed very consciously by both belligerent parties, a huge amount of sources has come down to us representing a wide variety of genres from ballads to spy letters and from paintings to coins. The topic of the paper is the analysis of a single news pamphlet containing a detailed list regarding the size and the equipment of the fleet as well as the names of the most important participants. These data were gathered and recorded at the muster of the Spanish Armada held in Lisbon in May 1588, and consequently quickly published and distributed throughout Europe. The paper examines both the content and the form of the pamphlet. What was the point of publishing and distributing such a rather dull text full of numbers and data? What kind of readership might it have been interesting to and what could they learn from it? And finally, what was the significance and function of using the form of the list?

Lost in Propagation? Unfolding News Cycles from the Source

The news media play an important role in informing the public on current events. Yet it has been difficult to understand the comprehensiveness of news media coverage on an event and how the reactions that the coverage evokes may diverge, because this requires identifying the origin of an event and tracing the information all the way to individuals who consume the news. In this work, we pinpoint the information source of an event in the form of a press release and investigate how its news cycle unfolds. We follow the news through three layers of propagation: the news articles covering the press release, shares of those articles in social media, and comments on the shares. We find that a news cycle typically lasts two days. Although news media in aggregate cover the information contained in the source, a single news article will typically only provide partial coverage. Sentiment, while dampened in news coverage relative to the source, again rises in social media shares and comments. As the information propagates through the layers, it tends to diverge from the source: while some ideas emphasized in the source fade, others emerge or gain in importance. We also discover how far the news article is from the information source in terms of sentiment or language does not help predict its popularity.

Stylometric analysis of Trump’s tweets

Abstract This study analyzes the stylistic and rhetorical aspects of Trump’s tweets, focusing mainly on tweets sent during his electoral and presidential period. As stylometric findings should be based on a comparative basis, a corpus of tweets written by Obama during his presidency, and those posted by the White House account during the same period are employed to reveal Trump’s specific stylistic idiosyncrasies. In addition, the most characteristic words and tweet features are analyzed, indicating that Trump mainly refers to himself or to close relatives. This study points out that President Trump is always driving an electoral campaign, refers positively to a single news source, but generally I-words are not overused. Even if inappropriate words occur from time to time, their frequency level is lower than typical male Twitter users. Finally, Trump’s rhetoric can be characterized by a definite and negative tone without many references to people. His judgments are definitive and emphasized with grandiose adjectives.

Does News Frame Affect Free Movement Attitudes? A Comparative Analysis

The policy of free movement—one of the core principles of the European Union—has become increasingly politicized. This makes it more important to understand how attitudes toward free movement are shaped, and the role of the media. The purpose of this study is therefore to investigate how news frames affect attitudes toward free movement, and whether education moderates framing effects. The findings from a survey experiment conducted in seven European countries show that the effects are few and inconsistent across countries. This suggest that these attitudes are not easily shifted by exposure to a single news frame.

Critique of the Doctrinal and Interpretive Foundations of Muhammad Ibn Abd Al-Wahhab and Denial of the Accusations against Shiism

Muhammad ibn Abd al-Wahhab, the founder of the Wahhabi sect, attributed the accusations to Shi'ism, including lying and accepting the acceptance of the distortion of the Qur'an, citing two surahs of Noorin and Wilayah, which consist of several imaginary verses. In support of this claim, he refers to two things, one is the hadiths of the distortion of the Qur'an in authentic Shiite books and the other is the acceptance of some Shiite scholars to the distortion of the Qur'an. The method of collecting material in this research is library. This research with a descriptive-analytical method in the critique of the presented issues states that many of these distorted narrations are single news and in those narrations there is no consecutive news or single news with definite cornea, so the news is weak. On the other hand, many Shiite scholars have expressed their position on the narrations of distortion and have carried them on spiritual distortion, differences in interpretive readings, their expression of revelation, epistemology, and so on.

Influence of Electronic Media on Public Policies and Narratives in Pakistan Post-2005

The research article investigates the role of the news media and specifically electronic media since 2005, which has emerged as a strong force in Pakistan in the past decade and, under certain circumstances, shapes public policymaking in Pakistan. Media across the world is seen as a tool to shape public narratives and influence policymakers in crafting policies that adhere to the interest and welfare of the general public. Electronic media has emerged as a powerful medium of communication in Pakistan, even though its political decision-making role has mainly been ignored. The independence of electronic media in Pakistan is highly debatable; the emergence of private news channels has a relatively short span of age. Before the emergence of a broad spectrum of electronic media channels, a single state-owned news channel existed, and information flow was highly controlled. The influx of news channels made the news media landscape in Pakistan highly vibrant from 2005 onwards. During the Musharraf regime in Pakistan, the mushroom growth of electronic channels was witnessed, which made media the fourth pillar of the state. During the same rule, electronic media in Pakistan started influencing public policies and narratives and saw sanctions imposed by the same ruler. In Pakistan, electronic media played a more significant role in influencing public opinion, policies, and views that compel policymakers to draft policies accordingly. The public was made aware of their rights as citizens and reacted to government policies and current political happenings. Interestingly not just in Pakistan, but the international academia as well has not paid much attention to the media's influence on public policymaking. There is limited scholarly literature available as not much focus has been given to how media influences policymaking. This research article using a Foucauldian lens on "power-knowledge" will specifically examine how certain media groups in Pakistan have impacted policymaking and have played a significant role in major political happenings, which have directly impacted Pakistan's public policies.

Do online media adhere to the responsible suicide reporting guidelines? A cross sectional study from India.

The content and nature of media reports could influence suicide prevention measures. To evaluate contemporary online media reports' compliance with guidelines for responsible reporting of suicidal acts from Indian resources. We included English and Hindi articles for reports concerning suicide, published by local and national media sources for 30 consecutive days from the day of death of a celebrity by alleged suicide. The search was performed in Google News with predefined search queries and selection criteria. Two independent investigators did data extraction. Subsequently, each news report was assessed against guidelines for the responsible reporting of suicide by the WHO and the Press Council of India. We identified 295 articles (Hindi n = 172, English n = 123). Results showed more than 80% of the media reports deviated from at least one criterion of the recommendations. A maximum breach was seen in the news article's headlines, sensational reportage and detailed suicide methods description. Significant differences were seen in the quality of English and Hindi reporting and reporting celebrity and noncelebrity suicide. Additional items revealed were reporting suicide pacts, linking multiple suicides in a single news report, allowing user-generated threads and linking Religion and suicide. Measures are required to implement reporting recommendations in the framework of a national suicide prevention strategy.

Event Geoparser with Pseudo-Location Entity Identification and Numerical Argument Extraction Implementation and Evaluation in Indonesian News Domain

Geoparser is a fundamental component of a Geographic Information Retrieval (GIR) geoparser, which performs toponym recognition, disambiguation, and geographic coordinate resolution from unstructured text domain. However, geoparsing of news articles which report several events across many place-mentions in the document are not yet adequately handled by regular geoparser, where the scope of resolution is either toponym-level or document-level. The capacity to detect multiple events and geolocate their true coordinates along with their numerical arguments is still missing from modern geoparsers, much less in Indonesian news corpora domain. We propose an event geoparser model with three stages of processing, which tightly integrates event extraction model into geoparsing and provides precise event-level resolution scope. The model casts the geotagging and event extraction as sequence labeling and uses LSTM-CRF inferencer equipped with features derived using Aggregated Topic Model from a large corpus to increase the generalizability. Throughout the proposed workflow and features, the geoparser is able to significantly improve the identification of pseudo-location entities, resulting in a 23.43% increase for weighted F1 score compared to baseline gazetteer and POS Tag features. As a side effect of event extraction, various numerical arguments are also extracted, and the output is easily projected to a rich choropleth map from a single news document.

Audience-Based Indicators for News Media Performance: A Conceptual Framework and Findings from Germany

Many attempts to conceptualize and to assess the performance of media systems or single news media outlets focus on the “supply side” of public communication, operationalized as characteristics of the news content and the form of presentation. These characteristics indicate the potential performance of news media; they are a necessary but not a sufficient condition for media performance. In order to assess the actual performance of news media we need to know what kind of audiences they reach, how they fulfil their users’ news-related interests and needs, and how they contribute to their users’ perceptions of the news environment. In this article, we propose a conceptual framework for the definition of audience-based indicators for news media performance. We apply this framework to data gathered as part of the 2019 Reuters Institute Digital News Survey for Germany. We compare 42 news media, both online and offline, in regard to their reach in different parts of the population, and to their audiences’ interest in news and politics, their trust in media, and their perceptions of the overall performance of German news media. The findings underline that news media performance is a multidimensional concept and that there are different ways in which news media can perform. Furthermore, the particular type of media, technically or organizationally, still matters when it comes to audiences’ expectations and perceived functions.

Media Framing of Minorities’ Crisis: A Study on Aljazeera and BBC News Coverage of the Rohingya

News nowadays is framed according to its makers. A single news item can be presented in different frames. The Rohingya are currently considered one of the most oppressed minorities worldwide. However, this minority did not receive enough support to alleviate their crisis. In this article framing theory is implemented to discover the frames used by Aljazeera and BBC in framing the causes and ramifications of the Rohingya crisis. This paper found out that news covered six main causes of the Rohingya crisis. The prominent cause that both Aljazeera and BBC agreed upon was security and military causes. 91.8% of the coverage was allocated to this prominent cause. The remaining 8.2% was for the other causes. Concerning ramifications, it was found out that news of Aljazeera and BBC collectively covered 20 ramifications. The majority of the ramifications were covered by both Aljazeera and BBC. However, Aljazeera independently cover 17 ramifications and the BBC independently covered only 10 ramifications. The main three ramifications that framed both Aljazeera and BBC news were deportation, mass massacres and oppression. Throughout the news observation, both Aljazeera and BBC framed their news by focusing on detailed incidents rather than establishing a holistic picture of the crisis. The frames implemented by Aljazeera and BBC were mainly the powerlessness frame and marginally the responsibility frame. Keywords: News, framing, Rohingya, Aljazeera, BBC.

Conflicting Health-Related Scientific Evidence in News Reports: Effects of Hedging and Presentation Format on Perceived Issue Uncertainty and Scientists’ and Journalists’ Credibility

Introduction: This study examined effects of two journalistic practices in reporting conflicting scientific evidence, hedging and presentation format, on scientists’ and journalists’ credibility and issue uncertainty. Methods: An online experiment was conducted using students from a western U.S. university. Hedging was manipulated as reporting methodological limitations versus not reporting the limitations in news articles covering the conflict. Presentation format was manipulated as using a single news article to report both sides of the conflict versus using double articles with one side of the conflict in one article and the other side in the other article. Results: The study found that perceived issue uncertainty was higher in hedged news articles than that in non-hedged articles; presentation format did not affect people’s perceived issue uncertainty. For scientists’ credibility (both competence and trustworthiness), this study found that it was lower in the single-article format than that in the double-article format; for journalists’ credibility, this study found that journalists’ trustworthiness in the two formats did not vary, but their competence was lower in the double-article format than that in the single-article format. Conclusion: This study contributes to the field of science and health communication by examining effects of presentation format used in communicating conflicting health-related scientific evidence and by examining effects of communicating scientific limitations in a context where conflicting evidence exists. Keywords: conflicting scientific evidence, hedging, presentation format, scientists’ credibility, journalists’ credibility