Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…So it can be concluded that public opinion on the quality of Telkomsel's internet network services is negative. …”
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INTERNATIONAL FORUM OF AMERICAN SOCIETY FOR ENGINEERING EDUCATION by Vasily Ivanov, Yulia Ziyatdinova

“…The 2014 ASEE President’s Award was given to Ioannis Miaoulis and the National Center for Technological Literacy at the Museum of Science, Boston for making a special use of print, broadcast, and electronic media to encourage KB12 students to pursue an engineering career, and to both influence public opinion and gain recognition of the critical role that engineering plays in today’s technologyBdriven society.The main plenary also featured Keynote Speaker Mitchell E. …”
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Après le « non » irlandais by Dominique Rivière

“…Far away from being a mere « incident », this votation is symptomatic of a persistent « divorce » between the public opinions and the european project. Nevertheless, the most probale issue is the proceeding of the ratification process which would be accompanied with a new vote in Irland.…”
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Big Data Approach to Sentiment Analysis in Machine Learning-Based Microblogs: Perspectives of Religious Moderation Public Policy in Indonesia by Mhd. Furqan, Ahmad Fakhri Ab. Nasir

“…This study aims to evaluate public policies introduced by the Ministry of Religion regarding religious moderation such as changes in the halal logo, transfer of authority for halal certification, and regulations on the volume of loudspeakers in the mosque. Public opinions collected as the big data to get the information about public sentiment with those issues. …”
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Les meurtres commis par des enfants en France au XIXe siècle : une étude sociale by Thomas Fadlallah

“…Those two boys, Robert Thompson and Jon Venables, reminded public opinions all over the globe that children kill. …”
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CoWIN twitter dataset: A comprehensive collection of public discourse on India's COVID-19 vaccination platformMendeley Data by Shubham Mittal, Swarnalakshmi Umamaheswaran

“…The CoWIN Twitter Dataset offers a wide-ranging collection of public opinions on India's COVID-19 vaccination platform CoWIN. …”
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Cerberus: cross-site social bot detection system based on deep learning by TANG Jiawei, LIU Yushan, GAO Min, GONG Qingyuan, WANG Xin, CHEN Yang

“…However, as open platform with low requirements for registration and joining, it is inevitable that social bots are able to easily register and do harmful things such as controlling public opinions and spreading inaccurate information for profit. …”
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Flux of the professional standards: Objectivity, advocacy journalism and paradigm repair by Kulić Milica

“…Media-dictated agendas have become the framework within which thinking is constrained. Public opinions are confined within existing agendas, further restricted by new media iron curtain. …”
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Coronavirus Pandemic Analysis Through Tripartite Graph Clustering in Online Social Networks by Xueting Liao, Danyang Zheng, Xiaojun Cao

“…The extensive experiments show that our TGC-PDA framework can effectively and efficiently identify the topics and correlations within the Twitter data for monitoring and understanding public opinions, which would provide policy makers useful information and statistics for decision making.…”
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Overview of detection techniques for malicious social bots by Rong LIU, Bo CHEN, Ling YU, Ya-shang LIU, Si-yuan CHEN

“…The attackers use social bots to steal people’s privacy,propagate fraud messages and influent public opinions,which has brought a great threat for personal privacy security,social public security and even the security of the nation.The attackers are also introducing new techniques to carry out anti-detection.The detection of malicious social bots has become one of the most important problems in the research of online social network security and it is also a difficult problem.Firstly,development and application of social bots was reviewed and then a formulation description for the problem of detecting malicious social bots was made.Besides,main challenges in the detection of malicious social bots were analyzed.As for how to choose features for the detection,the development of choosing features that from static user features to dynamic propagation features and to relationship and evolution features were classified.As for choosing which method,approaches from the previous research based on features,machine learning,graph and crowd sourcing were summarized.Also,the limitation of these methods in detection accuracy,computation cost and so on was dissected.At last,a framework based on parallelizing machine learning methods to detect malicious social bots was proposed.…”
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Redesigning and Implementing the Public Game Information and Rating System in South Korea by HoSeong Kang, JungYoon Kim

“…Rating reviews in the game industry aim to enhance the protection of young users, promote game ethics, and prevent negative use of it as a gambling but recent studies and public opinions have reported that the current rating system in South Korea is excessively regulative. …”
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Deploying large language models for discourse studies: An exploration of automated analysis of media attitudes. by Qingyu Gao, Dezheng William Feng

“…Analysis of attitudes in large amounts of media data is crucial for understanding public opinions, market trends, social dynamics, etc. …”
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Crisis Spreading Model of the Shareholding Networks of Listed Companies and Their Main Holders and Their Controllability by Yuanyuan Ma, Lingxuan Li

“…The results show that if the network is controlled globally, it is more reliable to allow a politically good new or an appropriate exciting economical policy to play the role in orienting markets under the control of public opinions as the crisis occurs. However, under normal circumstances, controlling a small part of driver vertices representing listed companies, applying appropriate control strategies, and using its characteristics of high efficiency of sending information can effectively control the stock market. …”
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Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…Gathering public opinions on the Internet and Internet-based applications like Twitter has become popular in recent times, as it provides decision-makers with uncensored public views on products, government policies, and programs. …”
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Pro-Peace vs. Pro-War Conceptualizations in the Language of Hungarian Propaganda by Marcin Grygiel

“…These include shaping and manipulating public opinions. For these goals to be successful, the language of propaganda must be equipped with efficient and well-designed conceptualizations able to change and modify the way people think. …”
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A thematic analysis of UK COVID-19 vaccine hesitancy discussions on Twitter by Reeshma Jameel, Sheila Greenfield, Anna Lavis

“…Previous research has shown that Twitter/ X is used by the UK public to engage with public health announcements and that social media influences public opinions of vaccines, including COVID-19 vaccines, globally. …”
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Penggunaan Metode Naïve Bayes Classifier pada Analisis Sentimen Penilaian Masyarakat Terhadap Pelayanan Rumah Sakit di Malang by Tsania Dzulkarnain, Dian Eka Ratnawati, Bayu Rahayudi

“…Abstract   The role of hospitals in society is crucial in terms of the level of satisfaction that the community derives from their services, facilities, and other aspects. Public opinions and assessments also contribute to evaluating hospital service performance. …”
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