Expression Of Opinion Research Articles

Passing on the “whistle”: Users’ creative engagement with platform censorship in an online relay campaign in China

The advances and proliferation of social media technologies have not only empowered Chinese users with more opportunities for opinion expression and public participation, but also provided the censors with increasingly sophisticated means to monitor and control the public discourse. In this game of cat and mouse, Chinese censors and users are intertwined with each other as new forms of censorship and counter-censorship stimulate both sides to further develop tactics to compete with each other. Drawing on (social) media discourse analysis, this study examines the strategies users adopted in an online relay campaign to keep a censored article alive on WeChat Public Accounts. The analysis highlights three major forms of creative strategies including textual reproductions, multi-semiotic and multimodal reproductions, and technically encoded forms. It also underscores platform censorship as a particular level of censorship where the platform takes responsibility for removing sensitive or perceived sensitive posts and content. This study adds to the growing literature that examines creative strategies of censorship engagement and a more nuanced understanding of the multi-layered online censorship mechanism in China.

The concept and the essence of political cartoon in the modern world

The paper is dedicated to the analysis of the theoretical component of political cartoon, its essence and concept. Attention is focused on the importance of political cartoons in modern political and legal reality with the rapid development of information systems and technologies. The author notes that the topic of political cartoons in the modern world is relevant and requires comprehensive research. A political cartoon is an important element of state, political and legal processes, since it acts as a vivid expression of public opinion regarding certain important situations in the global and intrastate field. The significance of a political caricature necessitates an in-depth approach to the analysis of the doctrinal foundations of the phenomenon under study, and therefore the paper represents the review of various approaches to understanding the concept and essence of a political caricature. In conclusion, the author notes that despite the widespread prevalence of political cartoons and the presence of a large number of studies on this topic, the problem of the place of political cartoons in the system of the humanities remains significant, as well as the lack of uniformity in the understanding of this phenomenon.

The dividing question as a hedging tool in the dialogues of the British working class

The subject of the study is the dividing issues-hedges in the speech of the British working class. The purpose of the work is to determine the features of their functioning as a means of speech fencing (hedging). The main communicative tasks for which representatives of the British working class resort to using the structure of the dividing question in order to hedge their statements are identified: expression of opinion, criticism, statement of fact, assumption, proposal, demand, request for information and intention. A number of patterns have also been identified when using ascending or descending nuclear tones in the second half of the dividing questions used as hedges. The material of the study is the dialogues of the characters, representatives of the modern London working class, of the movie "Sorry We Missed You" (2019, directed by K. Loach) in the original language. The work uses linguistic and contextual analysis in order to classify the research material. Audit and electroacoustic analysis of statements were also carried out using the Praat program. The novelty of the study lies in the choice of material and subject of the study: the film "Sorry We Missed You" has not been considered by linguists as a material for analyzing the rhythmic dynamics of English speech, and the features of hedging in communication of the British working class remain extremely poorly studied. The study showed that hedging, allowing communicants to maintain each other's personal boundaries, is not always a means of making a statement polite, as it is often used even in conflict situations. The emotional state of the addressee does not reduce the need to apply a speech separation strategy (including using the structure of the dividing question), but it affects its rhythmic and melodic design. Other important factors in choosing the intonation of hedges are the desire to continue or end the conversation, as well as the gender of the speaker.

Effects of Simultaneous Expression of Multiple Opinions by Single Agent on User’s Subjective Impression

Effects of Simultaneous Expression of Multiple Opinions by Single Agent on User’s Subjective Impression

Artificial Intelligence in Endodontics: A Scoping Review.

Artificial intelligence (AI) is transforming the diagnostic methods and treatment approaches in the constantly evolving field of endodontics. The current review discusses the recent advancements in AI; with a specific focus on convolutional and artificial neural networks. Apparently, AI models have proved to be highly beneficial in the analysis of root canal anatomy, detecting periapical lesions in early stages as well as providing accurate working-length determination. Moreover, they seem to be effective in predicting the treatment success next to identifying various conditions e.g., dental caries, pulpal inflammation, vertical root fractures, and expression of second opinions for non-surgical root canal treatments. Furthermore, AI has demonstrated an exceptional ability to recognize landmarks and lesions in cone-beam computed tomography scans with consistently high precision rates. While AI has significantly promoted the accuracy and efficiency of endodontic procedures, it is of high importance to continue validating the reliability and practicality of AI for possible widespread integration into daily clinical practice. Additionally, ethical considerations related to patient privacy, data security, and potential bias should be carefully examined to ensure the ethical and responsible implementation of AI in endodontics.

Developing a coding scheme for annotating opinion statements in L2 interactive spoken English with application for language teaching and assessment

Evaluative meanings are known to be difficult to identify and quantify in corpus data (Hunston 2004). The research in this area has largely drawn on the annotating schemes offered by the frameworks of Appraisal (Read and Carroll 2012; Fuoli 2018) or stance (Simaki et al. 2019). However, these annotation schemes have been applied predominantly to written production and to first language use. This study, therefore, proposes an annotation scheme for identifying and classifying linguistic expressions of opinion with particular application for second language (L2) language teaching and language assessment contexts. In addition, the coding scheme also specifically deals with spoken interactive communication, with particular attention paid to aspects such as the co-construction of opinion statements (Hovarth and Eggins 1995). The paper outlines the components of the coding scheme along with their theoretical underpinning, addresses some of the challenges in applying the codes and annotating real-life data, and discusses future possibilities and considerations related to the application of the coding scheme.

ДОБРОСОВЕСТНОЕ ПОВЕДЕНИЕ УЧАСТНИКОВ ГРАЖДАНСКОГО ПРОЦЕССА В УСЛОВИЯХ ПРИМЕНЕНИЯ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ

Modern civil proceedings are characterized by dispositive principles – the right to choose the method of participation in a court hearing, traditional or remote, adversarial principles – the right to exercise procedural rights relating to the expression of opinions, arguments about one’s position and proving it in the process also in two ways and the principles of procedural equality and justice – equal opportunities and guarantees in the process of choosing the method of interaction between participants in civil proceedings and the court. Thus, the Code of Civil Procedure of the Russian Federation is actively developing norms regarding the development of information technologies, and the courts are practicing the use of information technologies by participants. The use of information technology makes us think about the controlling role of the court, which should extend to the digital form of administration of justice. Control in such an instance is procedural and technological in nature: over the behavior of participants using information technologies in the implementation of procedural rights and over digital sources and technological means. The author comes to the conclusion about the role of behavioral reactions in the target setting – to use information technology, with the participation of persons in the process of considering civil cases, in good faith. Much attention is paid in science to the conscientious behavior of participants in civil proceedings. In civil proceedings, good faith was contrasted or interacted with the basic procedural principles of civil proceedings, which establish the rights of persons materially interested in the outcome of the case to be active, to exercise procedural rights, to prove their position, to have equal guarantees, etc. Selfinterested action encourages participants to achieve their goals in the process at any cost. Consequently, the obligation of participants to act in good faith in the exercise of procedural rights comes to the fore. Such an obligation allows ascertaining the necessary influence of the court on the behavior of participants in civil proceedings, while information technologies will not be able to act as levers of unfair influence on the course of civil proceedings, the exercise of rights by bona fide persons, and the adoption of a lawful and justified decision by the court. The measures of influence may be non-property consequences in the form of a court’s refusal of a request to use information technology for unscrupulous participants.

Deep Learning Based Cyberbullying Detection in Bangla Language

The Internet is currently the largest platform for global communication including expressions of opinions, reviews, contents, images, videos and so forth. Moreover, social media has now become a very broad and highly engaging platform due to its immense popularity and swift adoption trend. Increased social networking, however, also has detrimental impacts on the society leading to a range of unwanted phenomena, such as online assault, intimidation, digital bullying, criminality and trolling. Hence, cyberbullying has become a pervasive and worrying problem that poses considerable psychological and emotional harm to the people, particularly amongst the teens and the young adults. In order to lessen its negative effects and provide victims with prompt support, a great deal of research to identify cyberbullying instances at various online platforms is emerging. In comparison to other languages, Bangla (also known as Bengali) has fewer research studies in this domain. This study demonstrates a deep learning strategy for identifying cyberbullying in Bengali, using a dataset of 12282 versatile comments from multiple social media sites. In this study, a two-layer bidirectional long short-term memory (Bi-LSTM) model has been built to identify cyberbullying, using a variety of optimisers as well as 5-fold cross validation. To evaluate the functionality and efficacy of the proposed system, rigorous assessment and validation procedures have been employed throughout the project. The results of this study reveals that the proposed model’s accuracy, using momentum-based stochastic gradient descent (SGD) optimiser, is 94.46%. It also reflects a higher accuracy of 95.08% and a F1 score of 95.23% using Adam optimiser as well as a better accuracy of 94.31% in 5-fold cross validation.

Investigation of challenges in aspect-based sentiment analysis enhanced using softmax function on twitter during the 2024 Indonesian presidential election

In recent years, social media platforms have emerged as powerful channels for political discourse and public opinion expression. Twitter has become a dynamic space where individuals share views, opinions, and sentiments on various topics, including significant political events such as elections. The 2024 Presidential Election in Indonesia is a good moment to represents public sentiment. The study aims to the explore sentiment expression on social media, considering diverse perspectives, language nuances, and specific cultural contexts within the Indonesian political landscape. To determine sentence sentiment, both standard sentiment analysis and ABSA are considered, with a preference for ABSA due to its ability to identify aspects within a sentence and provide more detailed sentiment analysis. Therefore, this research proposes a solution by applying a BERT-based deep learning model. The model's performance is evaluated using standard metrics, including confusion matrix, precision, recall, F1-score, and accuracy. Comparative assessments are made with machine learning models, such as Random Forest, Naïve Bayes, and Support Vector Machine. The results indicate that, with a 50:50 aspect ratio, BERT, Random Forest, Naïve Bayes, and Support Vector Machine achieve comparable accuracies. However, when the aspect ratio shifts to 60:40, BERT outperforms other models. Notably, in scenarios with a larger amount of training data, Support Vector Machine demonstrates slightly superior performance in predicting sentiment from Twitter data.

Extracting Sentiments from Youtube Comments Using Deep Learning and Transformers

Abstract: YouTube is the most used social media platform, and it has been the most popular website where users can post the video. The public generally does comment, like or dislike, video-sharing on a YouTube video. Comment plays a vital role in expressing opinions and mindset, and it is used as an expression of public opinion. The massive amount of comment is generated mainly on famous channels where challenges arise to analyse public opinion or behaviour regarding that particular video. This project proposes sentiment analysis on YouTube video by Natural Language Processing (NLP) technique along with Deep Learning techniques Recurrent Neural Network (RNN) and Gated Recurrent Unit (GRU) models. Sentiment analysis is when comprehension, citation, and processing of text-based data is done, and it directly converts it into sentiment information. This analysis help users to get the report of their YouTube video. The output of this analysis gives the classification of sentiment analysis, as Positive, negative, or neutral.

Mid-Day Meals Programs in the School of Pokhara through Child Friendly School Manual

This study, titled “Assessing School Mid-Day Meals Programs in the Schools of Pokhara through Child-Friendly School Manual,” aimed to identify modalities and assess school facilities related to mid-day meals in both institutional and public schools. The research design employed was explanatory sequential. The population comprised schools, headmasters, and class five students, and a multistage sampling technique was utilized. Five diverse schools each from institutional (preprimary, primary, upper primary, secondary, and higher secondary) and public schools were randomly selected for comparison. During data collection, students were assured that their responses would be confidential, and teachers were not present in the classrooms to encourage free expression of opinions. The findings revealed that more than half of the students in institutional schools carried homemade lunches, while public schools provided meals in canteens. Observations indicated that insufficient seating in canteens resulted in students having to eat meals on the ground or in classrooms. Moreover, many schools lacked soap in wash bins, potentially impacting students’ hygiene, and health. It is recommended to improve school facilities related to mid-day meals in accordance with child-friendly school guidelines.

Book review: Datafication of Public Opinion and the Public Sphere: How Extraction Replaced Expression of Opinion by Slavko Splichal

Book review: <i>Datafication of Public Opinion and the Public Sphere: How Extraction Replaced Expression of Opinion</i> by Slavko Splichal

How social are self-effects? The impact of feedback on the internalization of expressed opinions in online communication

Online communication channels provide rich opportunities for public opinion expression, and the act of posting may lead to an internalization of the expressed views. This research investigated whether such self-effects are affected by feedback comments and whether this influence is stronger in social network sites than in anonymous online forums. In an experiment manipulating valence of feedback and the media context, 161 participants were asked to express their opinion on a current topic. Results showed limited effects of feedback: Negative comments tended to reduce internalization among participants with non-extreme prior attitudes, but this was independent from the media context.

Democracy and Civic Space: Normative Models and Ukrainian Discourse

The article, authored by Ukrainian and Polish social researchers, analyses normative approaches towards understanding models of democracy and their relation to civic space. Despite the existence of multiple models of democracy, they can largely be reduced to two main forms: direct and representative democracy.Deliberative democracy is posited as a third form, which, according to some scientists, combines elements of representative, direct, and participatory democracy. The analysis is based on the assessment of democracy and civic space in Ukraine, utilising data from six applied international social studies, as well as the evaluation of the modern characteristics of some components of Ukrainian civic space. According to the rating of CIVICUS Monitor, Ukraine has been classified in the category of countries where the civic space is «obstructed» from 2019 to the present time (Autumn 2023). Currently, the advancement of civic space in Ukraine towards more favourable forms of freedom of association, peaceful assembly, and expression of opinion in the country are threatened by several factors simultaneously, with the dominant role being Russia's full-scale war against Ukraine.During the martial law and in the post-war context of Ukraine, civil society acts as an indispensable ally of the authorities in the process of democratic reconstruction. Civil society organizations (CSOs) represent a wide range of social interests, ensuring that the voices of different groups and segments of thepopulation are heard and taken into account. Their broad base allows them to bridge the gap between government and citizens, helping to build trust and ensuring transparency. CSOs have a proven track record of institutional monitoring, which is a critical factor in preserving and strengthening democratic values in a post-conflict environment.The article also uses the results of the authors' previous and current academic research*, as well as the results of twenty years of advocacy and analytical work as public experts in Ukraine and Europe. ==== *Remark. The Ukrainian author relies on the results of her own previous and current academic research within the H. Skovoroda Institute of Philosophy of the National Academy of Sciences of Ukraine and analytical studies as a public expert, and the research of the Polish co-author was supported by the National Science Center (research project 2019/33/B/HS5/02648).

Depression at Workplaces: The Factors that Influencing and How to Overcome the Issues

Depression is a complex condition with a wide range of expressions of opinions, feelings, and attitudes that can directly strike anyone, and when we consider someone suffering from workplace depression, an amount of work and non-work-related aspects might be at work. Although depression is treatable, it is frequently a lifelong condition with periods of wellness punctuated with depressed illnesses. The objective of the study is to discuss the factors that influencing depression among workers and how to overcome these issues to improve their productivity. To emphasize, this study discussed a various common risks factor that led to depression at workplace in the first subtopic. In the discussion stated about toxic workplace environment, workplace sexual harassment, discrimination, abusive and bullying and excessive workload. Meanwhile employer is a main role to establishing supportive work environment to improve workers motivation at a workplace. In second subtopic discussed the several awareness that can be implemented by three categories which is employer, the authorities and by individuals to play their own role to overcome the depression issue such as providing programme that can increasing self-awareness among community. People may require a more comprehensive understanding of depression, as well as the significance of the work environment in impacting job incapacity due to depression. Thus, this paper will provide a better understanding about the issues for future direction.

Assessing Facilitator Fidelity to Principles of Public Deliberation: Tutorial.

Public deliberation, or deliberative democracy, is a method used to elicit informed perspectives and justifiable solutions to ethically fraught or contentious issues that affect multiple stakeholder groups with conflicting interests. Deliberative events bring together stakeholders (deliberants) who are provided with empirical evidence on the central issue or concern and then asked to discuss the evidence, consider the issue from a societal perspective, and collectively work toward a justifiable resolution. There is increasing interest in this method, which warrants clear guidance for evaluating the quality of its use in research. Most of the existing literature on measuring deliberation quality emphasizes the quality of deliberants' inputs (eg, engagement and evidence of compromise) during deliberative sessions. Fewer researchers have framed quality in terms of facilitator inputs, and these researchers tend to examine inputs that are consistent with generic group processes. The theory, process, and purpose of public deliberation, however, are distinct from those of focus groups or other group-based discussions and warrant a mechanism for measuring quality in terms of facilitator fidelity to the principles and processes of deliberative democracy. In our public deliberation on ethical conflicts in minor consent for biomedical HIV prevention research, we assessed facilitator fidelity to these principles and processes because we believe that such assessments serve as a component of a comprehensive evaluation of overall deliberation quality. We examined verbatim facilitator remarks in the deliberation transcripts and determined whether they aligned with the 6 principles of public deliberation: equal participation, respect for the opinions of others, adoption of a societal perspective, reasoned justification of ideas, expression of diverse opinions, and compromise or movement toward consensus. In this tutorial, we describe the development of a blueprint to guide researchers in assessing facilitator fidelity, share 3 templates that will assist them in the task, and describe the results of our assessment of facilitator fidelity in 1 of the 4 sites in which we conducted deliberations.

The prevention of plagiarism as a prerequisite for ethical relationships in the academic community

The present study is devoted to plagiarism and the possibilities for its prevention to build and maintain ethical relationships between people engaged in creative activity. A place is being devoted to define this concept in the context of business ethics. A questionnaire was developed and a pilot survey was conducted to determine the level of awareness regarding the forms of plagiarism. Possibilities of how to minimize it through targeted preventive actions are discussed. Special atten- tion is paid to the training process when assigning course assignments and diploma theses to outline the need for a creative approach, expression of personal opinion and expert evaluations generated on the basis of authentic information and the accumulated experience is studied and summarized most often in special section, by citing one of the established methodologies for this. The expected outcome is increased personal awareness of everyone engaged in research activity in order to avoid the incorrect use of published foreign experience.

Breaking the silence: the role of social media in fostering community and challenging the spiral of silence

PurposeThis research aims to examine the ways and the extent to which social media platforms undermine the spiral of silence by facilitating the expression of diverse voices and opinions.Design/methodology/approachSemi-structured interviews were conducted with members of closed groups focused on non-consensus topics.FindingsFacebook closed group members perceive the media as isolating and portraying their issues negatively. However, these groups offer support, inclusion and non-judgmental opinion-sharing space. Consequently, members feel more comfortable discussing and sharing the topic outside the group, indicating a slight trend of challenging and undermining the spiral of silence through social networks.Research limitations/implicationsThe study faces challenges in comparing diverse groups due to unique circumstances, complex needs and societal attitudes. Each group stands alone, potentially yielding slightly different findings.Practical implicationsSocial media challenges and undermines the spiral of silence, as these opinions are shared with the wider society and can even find their way back to mainstream media outlets. Thus, social media platforms play a significant role in disrupting the spiral of silence and facilitating the expression of diverse opinions that may have been previously suppressed.Social implicationsThis research emphasizes the critical role of social media in shaping public opinion and its interaction with the broader media landscape, illustrating a circular process where social media disrupts the spiral of silence by facilitating the expression of previously suppressed diverse opinions, which can then potentially influence mainstream media.Originality/valueThis study adds value by exploring how social media platforms can challenge and undermine the spiral of silence, enabling the expression of diverse, marginalized and underrepresented opinions in society. It highlights the role of social media in shaping public opinion and discourse, challenging the dominance of traditional media. Its originality emanates from its revelations concerning the legitimization of conversational topics, which may consequently affect media agendas.

Anonymity on the internet versus identification of offenders

More and more people choose to act anonymously on the Internet. This fact generates many benefits, for example, it encourages the expression of critical opinions. On the other hand, there is also a “dark side” to this phenomenon. Specifically, perpetrators can opt to commit crimes on the Internet anonymously. This article argues that anonymity on the Internet should not be an obstacle to finding out the truth and, respectively, to the administration of justice. So, Internet privacy must yield when the imperative of identifying offenders and reparations to victims is at stake. However, this must be done with safeguards in mind, not arbitrarily.

Discursive formulas of response in Modern Greek

The article is dedicated to the study of discursive formulas of response in Modern Greek. Discursive formulas of response, i.e. idioms which are used in speech as a reaction to what was previously said by the interlocutor and which reproduce some of the phonetic properties of the previous utterance, constitute one of the most language-specific layers of phraseology and pose a difficulty for a correct decoding and translation. The aim of the article is to describe the little-studied material of Modern Greek formulas of response, to determine their types and specific properties and to identify typical communicative situations in which they are used. The study is based on the instances of use of such structures in literary works, internet texts, movies and series in Modern Greek, along with data from dictionaries. Methods of structural, semantic, contextual and comparative analysis are used. The findings of the study provide evidence that in Modern Greek there exist structures corresponding to the definition of discursive formulas of response. Eight types of such structures can be distinguished based on the type of the initiating utterance: reactions to a question; reactions to an address; reactions to an expression of agreement or disagreement; reactions to an expression of opinion or an evaluation; reactions to a factual statement; reactions to a greeting, a farewell or a well-wish; reactions to an expression of gratitude; reactions to a directive. It is shown, however, that the key role in every case is played by the actual lexical make-up of the initiating utterances. From the authors’ point of view, what is particularly interesting for the comparative analysis of discursive formulas of response in different languages is the fact that some Modern Greek formulas of response have the form of a curse or of an ill-wish.