A News Media Bias and Factuality Profiling Framework Assisted by Modeling Correlation

News media profiling is helpful in preventing the spread of fake news at the source and maintaining a good media and news ecosystem.Most previous works only extract features and evaluate media from one dimension independently,ignoring the interconnections between different aspects.This paper proposes a novel news media bias and factuality profiling framework assisted by correlated features.This framework models the relationship and interaction between media bias and factuality,utilizing this relationship to assist in the prediction of profiling results.Our approach extracts features independently while aligning and fusing them through recursive convolu-tion and attention mechanisms,thus harnessing multi-scale interactive information across different dimensions and levels.This method improves the effectiveness of news media evaluation.Experimental results indicate that our proposed framework significantly outperforms existing methods,achieving the best performance in Accuracy and F1 score,improving by at least 1%compared to other methods.This paper further analyzes and discusses based on the experimental results.

Media: A Double-Edged Sword in the Disease Control. Content Analysis of News Report on SARS Event in Taiwan

Objective: This study was conducted to explore what media exactly do when disease is emerging and furthermore, to infer the role and the responsibility that media should play. Method: A content analysis with 0.81 inter-rater reliability was adopted to categorize SARS-related events shown on the three major newspapers in 117 days, dated from March 13th (the date before the first probable case of SARS in Taiwan was identified) to July 7th (the date after Taiwan was removed from the list of SARS-affected countries by the bulletin of World Health Organization), 2003. Results: There were totally 8923 SARS events related news found in the observed newspapers during the study period. When the epidemic situation is more serious, the media will also lay out more coverage on reporting the related contents. In the reporting contents, the three most influential newspapers in Taiwan mainly emphasized the impact dimension (34.27%). Only 2.16% of the coverage was on the topic of health communication and prevention education. Overall, the opinions of general public are the primary sources of news (46.57%). Health authority was not the main and typical sources information of the press (9.42%). Conclusion: Media is a double-edged sword in the communicable disease control. We suggest that the health authority should take advantage of media to transmit message rapidly to convey related information to public.

Composition and Improvement Strategies of News Audience’s Media Literacy in the Omnimedia Era

In the era of omnimedia,the methods of news consumption have changed markedly.Based on new characteristics of news consumption and new issues arising therefrom,this article provides an in-depth analysis of the capabilities,including selecting,decoding and coding information from news,which all contemporary news audience should have.Meanwhile,this article proposes the pathway and strategies for fostering and improving media literacy.For example,the government should strengthen top-level design,mass media should comply with media ethics and schools should innovate educational methods.In addition,relevant social organizations,communities and families ought to mutually collaborate with each other in order to jointly build a scientific and rational media literacy education system.

China Population News Wins Global Media Award for Population Reporting

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How the News Media Cover Environmental Issues in United Kingdom: A Comprehensive Study of Mexico Gulf Oil Spill Disaster in 2010

It is widely known that an increasing number of attentions have paid on environmental issues and meanwhile,the mass media promotes its role in helping define the concept and field of environment and also bringing environmental issues into social attention.This paper intends to investigate how news media in covering environmental issues in United Kingdom through the perspective of Mexico Gulf oil spill incident in 2010 particularly.In details,this study focuses more on the study of trends and patterns of news coverage on oil spill disaster during the research process.The sample is made up of two mainstream newspapers in UK(the Times and the Guardian)which are selected based on circulation figures and politically centre-based figures from April 2010 to April 2011.This study employs content analysis as its primary methodology to observe the trends and patterns of news coverage.In addition,this study not only discovers characteristics,trends and patterns of each newspaper but also uses comparative way to discover differences and similarities in order to investigate how national newspapers differ from each other when focusing on the same environmental news.Through the investigation step by step,this study answers the hypothesis and concludes that news media cover environmental issues in a particular ways as they adopt different trends and patterns in coverage while they still have some ways in common.

Unbalanced International News Flow and News Bias in Western Media

With the rapid development of mass media, a new media age comes into being. Accompanied with the rising of advanced capitalism, the print media brings us a new“mass sphere”. In the field of international journalism and communication, it is still exist that international news is unbalanced and biased in first world countries’media. However, the imbalance of international public opinion is just a big problem for third world countries. Therefore, it is very necessary and significant to analyze this subject. Starting from the globalization, this paper argues the imbalance and news bias of reporting upon international issues in western media, so as to provide some ideas and promote the better development of the subject.

The Impact of the News Frames on Report of the 2020 Pandemic in China’s National Media

News frames is a general application of the Frame Theory in journalistic practice,and the setting of the Frame Theory in news media,to some extent,may make the news agency have more choices of the topics,more channels of the report,and more impacts on readers and audiences.It is for this reason that news media are very interested in setting up their news frame to guide their reportage.It won’t be surprised that when important affairs took place,the media set a theme for their coverage;while at the same time,audiences recognized that they are allowed to know the facts as well to evaluate the events properly.The coverage of disaster news is one of the concrete examples.However,when reading the reportage framework of the news in China,it can be seen that media would be likely to set similar frames for the focus of the report,and this potentially created complexity and difficulty in analyzing disaster news events in terms of content classification,reporting form,and news-making on effectiveness.The outbreak of the 2020 COVID-19 gathered media to work on a centralized proposal–anti-epidemic,so that textual,audio-visual contents and other forms of reporting show a diversified perspective for disaster news.This reporting form is a new challenge for Chinese news media,reflected in their practice on how Chinese government and people fought against the virus,how Chinese medical community dispatched their team to assist COVID-19 fight,and how Chinese media responded to the vilification of foreign media during that period.This paper takes three established media Hubei Daily,CCTV and China Daily as examples for an in-depth analysis.

Classification and Detection of Amharic Language Fake News on Social Media Using Machine Learning Approach

The pervasive idea of web-based media stages brought about a lot of sight and sound information in interpersonal organizations.The transparency and unlimited way of sharing the data via online media stage encourages data spread across the organization paying little mind to its noteworthiness.The multiplication of misdirecting data in regular access news sources,for example,web-based media channels,news websites,and online papers has made it trying to recognize dependable news sources,in this way expanding the requirement for computational devices to give bits of knowledge into the unwavering quality of online substance.The broad spread of phony news contrarily affects people and society.Along these lines,counterfeit news identification via web-based media has as of late become arising research drawing in enormous consideration.Observing the possible damage caused by the rapid spread of fake news in various fields such as politics and finance,the use of language analysis to automatically identify fake news has attracted the attention of the research community.A social networking service is a platform for people with similar interests,activities,or backgrounds to form social networks or social relations.Participants who register on this site with its own expression(often a profile)and social links are generally offered a social network service.

Optimal Quad Channel Long Short-Term Memory Based Fake News Classification on English Corpus

The term‘corpus’refers to a huge volume of structured datasets containing machine-readable texts.Such texts are generated in a natural communicative setting.The explosion of social media permitted individuals to spread data with minimal examination and filters freely.Due to this,the old problem of fake news has resurfaced.It has become an important concern due to its negative impact on the community.To manage the spread of fake news,automatic recognition approaches have been investigated earlier using Artificial Intelligence(AI)and Machine Learning(ML)techniques.To perform the medicinal text classification tasks,the ML approaches were applied,and they performed quite effectively.Still,a huge effort is required from the human side to generate the labelled training data.The recent progress of the Deep Learning(DL)methods seems to be a promising solution to tackle difficult types of Natural Language Processing(NLP)tasks,especially fake news detection.To unlock social media data,an automatic text classifier is highly helpful in the domain of NLP.The current research article focuses on the design of the Optimal Quad ChannelHybrid Long Short-Term Memory-based Fake News Classification(QCLSTM-FNC)approach.The presented QCLSTM-FNC approach aims to identify and differentiate fake news from actual news.To attain this,the proposed QCLSTM-FNC approach follows two methods such as the pre-processing data method and the Glovebased word embedding process.Besides,the QCLSTM model is utilized for classification.To boost the classification results of the QCLSTM model,a Quasi-Oppositional Sandpiper Optimization(QOSPO)algorithm is utilized to fine-tune the hyperparameters.The proposed QCLSTM-FNC approach was experimentally validated against a benchmark dataset.The QCLSTMFNC approach successfully outperformed all other existing DL models under different measures.

Media and Human Rights Education——A Probe into the Possibility of News Coverage from the Viewpoint of the Human Rights Framework

At the present time, mass me- dia and new media play an important part in establish- ing and constructing a civil society. This paper will focus on educa- tional roles of the media and will probe the major experiences and challenges related to constructing news events with human rights as the framework.

If not me, then who? Social media, vaccine hesitancy, and ethical responsibility in the face of the Covid-19 pandemic

The Covid-19 pandemic is the most significant public health emergency of the 21st century.However,the infection of social media with fact-less,false,and misleading information concerning Covid-19 has direct and detrimental effects on millions of people’s health and well-being,often with deadly consequences.With the introduction of Covid-19 vaccines,an end to the pandemic is in sight.Yet,the unsubstantiated and damaging claims about the vaccine remain prevalent throughout society.As a result,a large segment of the population is hesitant to be vaccinated.As social media is used to sow false information.It also can be used to temper or eradicate the cascading and self-perpetuating flow of misinformation and misperceptions by disseminating truthful,timely,and action-oriented information.And in doing so,promote the efficacy and safety of the vaccines and highlight the responsibility we get vaccinated for Covid-19.Therefore,it is the ethical and moral obligation of every powerful entity-healthcare providers,pharmaceutical companies,social media platforms,and individual users-to stop the spread of misinformation and promote fact-and evidence-based information throughout the media that they control or participate in.Pathways to overcoming vaccine hesitancy and a return to a sense of normalcy depend on these efforts.

Media Activism in Search of Truth： Questioning the Mission to Restore Sanity

For a young, media savvy, radically globalized generation, television as a platform for news has lost momentum. Ironically, however, in a media landscape with a variety of news providers competing for audiences and trust, television news parodies like The Daily Show with Jon Stewart and The Colbert Report attract new audiences as they seem to fill a gap. They succeed not only in entertaining and informing （even educating） a previously ＂deactivated＂, relatively young target audience, but also in initiating activism by using old and new （social） media. How can it be that a comedy show succeeds in promoting reason and gets young people to stand up for more sanity in politics and culture？ In the sense that, in this case, critical （subversive） practice comes fxom within the mainstream, is television, as the platform that has been criticized for ＂dumbing down＂ audiences （cf. Postman 1985）, actually becoming the solution for commitment7 In this constellation, what is the role of self-determined （intrinsic） and acquired （extrinsic） practices in relation to mobilized practices and practices determined by other factors？ And how do they work differently in comparison to the subversive practices of tactical media and media activism that question the methods of biopower？ This paper examines several responses to the （more and less serious） calls for action of the two shows and discusses their delicate role as entertainers, watchdogs, and activists for reason, sanity, and what is left of truth in the media. Furthermore, implications for critical media studies are considered by questioning the claims of education towards truth （of. Mitterer, 1983）.

Media Representation of Space Images of Shanghai Downtown Areas

With the deepening of the globalization,citizens have realized the mega-cities space elements largely through media,instead of all-over contact with real physical environment,and dominance hierarchy of urban functions constructed by all media has represented certain groups’selective transmission of space images.Taking downtown areas of Shanghai City for example,this study explored space images embodied in internet media on the basis of statistical analysis of place name frequency in the media texts.First,by reviewing relevant theories of media languages and city space image,media-based methods for collecting and analyzing space image were reviewed and sorted out,and theoretical bases for the space images embodied by different media were established and compared.Second,in empirical researches,word frequency of place names in economic news texts was calculated in terms of landmark constructions/buildings,roads,rivers,and sections,spatial accumulative calculation was adopted to describe space images of downtown areas in Shanghai.Third,differences and similarities of space images of these downtown areas in economic news reports and citizens’internet posts were further compared.

Working With News Literacy Among Pre-teens： From Selection to Reflection

This article presents the outcome of the Swedish pilot study CESEM （named after the initials of the girls＇ first names） where pre-teen girls produced their own news program and showed it to their classmates. The methodological approach was the action research model where the process of producing news was followed from selecting news to reflecting on their learning outcomes. The knowledge from the pilot study is useful in designing active projects within the scope of media literacy. One of the learning outcomes for the girls in this study was the awareness of how news programs in TV are staged. A positive response was the initiative from one of the participating schools to start their own news project in one of the classes. A possible outcome in longer run projects is better knowledge for developing pedagogical tools in media education.

The Use and the Effects of Militaristic Elements in the Turkish Printed Sports Media

Football is a sports branch comprising a ＂human＂ factor with different aspects, such as intelligence, intuition, will, character, struggle, spectators, and balance. With the created global economic market, football is an indispensable part of our lives. It entices the masses, plays an effective role in the socio-economic destinies of societies, and directs the mass psychology of societies negatively and/or positively. The success that football clubs in Turkey attained recently in Europe and the third standing that our national football team gained in 2002 have accentuated the relationship between the printed football media and football. Today, Turkish sports journalism sometimes tends to exploit the emotions and encourages the discourses inciting violence and biases to get more readers （to increase the circulation rate） and guarantee the continuation of the attention. Many words expressing militarism are used in the headlines of sports news. In these articles, the footballers are depicted as alert soldiers and the teams as troops conditioned to victory. In the frame of both national matches and the European Cups, the militaristic elements are used through nationalistic discourses in the sports news of the printed media. Thus, the aim of this study is to analyze the presentation and quantity of the militaristic elements used in the news on football in newspapers. The news in the Milliyet, as a mainstream newspaper, issued in two periods, namely after the 2002 World Cup （November 1-December 31, 2002） and today （February l-March 30, 2008） will be studied through the discourse analysis method with respect to the headlines and contents. Therefore, the comments and the ideas of columnists will be excluded from the scope of this study.

Challenges and Access to Production and Distribution of News in the Era of Big Data

With the strategy of media integration,transformation and upgrading of media has become an important issue.In the era of big data,due to the dual impact of data and technology,the media brings both challenges and opportunities.The paper traces the characteristics of the era of big data,focuses on analyzing the challenges and opportunities in the media industry,and analyzes the transformation and upgrading of the media from the dimensions of news production and distribution to better realize the social functions of media in the era of big data.Some strategic suggestions are put forward to improve the propagation effect.

Predicting abnormal trading behavior from internet rumor propagation:a machine learning approach

In 2021,the abnormal short-term price fluctuations of GameStop,which were triggered by internet stock discussions,drew the attention of academics,financial analysts,and stock trading commissions alike,prompting calls to address such events and maintain market stability.However,the impact of stock discussions on volatile trading behavior has received comparatively less attention than traditional fundamentals.Furthermore,data mining methods are less often used to predict stock trading despite their higher accuracy.This study adopts an innovative approach using social media data to obtain stock rumors,and then trains three decision trees to demonstrate the impact of rumor propagation on stock trading behavior.Our findings show that rumor propagation outperforms traditional fundamentals in predicting abnormal trading behavior.The study serves as an impetus for further research using data mining as a method of inquiry.

Supervision of Public Opinion under the Background of Social Co-governance-Take the Changsheng Vaccine Incident as an Example

Objective To provide reference for the news media to give play to the role of public opinion supervision in time based on the background of drug safety and social co-governance.Methods The method of case analysis was used to make a retrospective study on the Changsheng vaccine incident in 2018.Then the role of mainstream media,pharmaceutical media,and self-media in the supervision of public opinion was investigated.Results and Conclusion Both mainstream and pharmaceutical media played an excellent role in supervising the Changchun Changsheng vaccine incident.However,the content published by some pharmaceutical media was hard to understand by ordinary people.Besides,the role of self-media in public opinion supervision was polarized.Some self-media closely kept pace with mainstream media in public opinion supervision.Other self-media unilaterally pursued the click rate,publishing false information to guide wrong public opinion.The news media should optimize the supervision efficiency of drug safety.On the one hand,pharmaceutical media should pay attention to the fact that readers may not understand the difficult terms because they are not professional.On the other hand,self-media practitioners should improve their professional quality so that they will not publish some fake news to mislead public opinion.