scholarly journals Multi-Documents Extractive Text Summarization using Node Centrality

2020 ◽  
Vol 9 (3) ◽  
pp. 2817-2822
Keyword(s):  
Social Media ◽  
Text Summarization ◽  
The Internet ◽  
Hidden Information ◽  
Extractive Summarization ◽  
Amount Of Information ◽  
Vast Amount ◽  
Node Centrality ◽  
Summarization Method ◽  
Katz Centrality

The advancement of technologies produce vast amount of data over the internet. The massive amount of information flooded in the webpages become more difficult to extract the meaningful insights. Social media websites are playing major role in publishing news events on the similar topic with different contents. Extracting the hidden information from the multiple webpages are tedious job for researchers and industrialists. This paper mainly focuses on gathering information from multiple webpages and to produce summary from those contents under similar topic. Multi-document extractive summarization has been developed using the graph based text summarization method. Proposed method builds a graph between the multi-documents using the Katz centrality of nodes. The performance of proposed GeSUM (Graph based Extractive Summarization) is evaluated with the ROUGE metrics.

MEDIA LITERASI BAGI DIGITAL NATIVES: PERSPEKTIF GENERASI Z DI JAKARTA

2018 ◽  
Vol 6 (1) ◽  
pp. 60
Author(s):  
Ranny Rastati
Keyword(s):  
Social Media ◽  
Media Literacy ◽  
Generation Y ◽  
Role Model ◽  
Digital Natives ◽  
The Internet ◽  
Positive Image ◽  
Generation Z ◽  
Internet Users ◽  
Depth Interview

In 2017 the majority of internet users are 19-34 years old or 49.52% (APJI, 2017). Almost half of the internet users in Indonesia are digital natives who were born after 1980: Generation Y (1980-1995) and Generation Z (1996-2009). This research will be focused on Generation Z as the true generation of the internet. Generation Z was born when the internet is available, a contrast to Generation Y who is still experiencing the transition of the internet. The purpose of this research is to find an effective way of providing information about media literacy to Generation Z. Through descriptive qualitative, the study was conducted with in-depth interview and observation toward 12 university students in Jakarta. The results showed that there are four effective ways of providing information about media literacy which is i) videos distributed to social media such as Youtube and Instagram, ii) interesting memes in communicative style, iii) through selebgram or micro-celebrity in Instagram who is consider as a role model and have a positive image, and iv) roadside billboards. Another interesting finding is that male informants tend to like media literacy information through videos and memes, while female informants prefer campaigns conducted by positive image selebgram and billboard. AbstrakPada tahun 2017 pengguna internet di Indonesia mayoritas berusia 19-34 tahun yaitu sebanyak 49,52% (APJI, 2017). Dari data tersebut terlihat bahwa hampir sebagian pengguna internet di Indonesia adalah digital natives atau penutur asli teknologi digital yaitu orang-orang yang lahir setelah tahun 1980: Generasi Y (1980-1995) dan Generasi Z (1996-2009). Penelitian ini akan difokuskan kepada Generasi Z karena mereka dianggap sebagai sebenar-benarnya generasi internet. Generasi Z lahir saat teknologi tersebut sudah tersedia, berbeda dengan Generasi Y yang masih mengalami transisi teknologi hingga menuju internet. Tujuan penelitian ini adalah mencari tahu cara yang efektif dalam memberikan informasi mengenai media literasi kepada generasi Z. Metode yang digunakan adalah deskriptif kualitatif dengan observasi dan wawancara mendalam. Informan berjumlah 12 orang mahasiswa di Jakarta. Hasil penelitian menunjukkan bahwa ada empat cara yang efektif dalam memberikan informasi mengenai media literasi yaitu i) video yang disebarkan ke media sosial seperti Youtube dan Instagram, ii) meme menarik dengan bahasa yang mudah dimengerti, iii) melalui selebgram yang menjadi panutan dan berimage positif, dan iv) papan iklan di pinggir jalan. Temuan menarik lainnya adalah informan laki-laki cenderung menyukai informasi media literasi melalui video dan meme yang disebarkan ke media sosial, sementara perempuan lebih menyukai kampanye yang dilakukan oleh selebgram berimage positif dan papan iklan.

Utilizing Blockchain Technology in Social Media Bot Identification

2020 ◽  
Author(s):  
Shreya Reddy ◽  
Lisa Ewen ◽  
Pankti Patel ◽  
Prerak Patel ◽  
Ankit Kundal ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Gold Standard ◽  
The Internet ◽  
Learning Models ◽  
Current Time ◽  
Machine Learning Methods ◽  
Blockchain Technology ◽  
Modern Age ◽  
Machine Learning Models

<p>As bots become more prevalent and smarter in the modern age of the internet, it becomes ever more important that they be identified and removed. Recent research has dictated that machine learning methods are accurate and the gold standard of bot identification on social media. Unfortunately, machine learning models do not come without their negative aspects such as lengthy training times, difficult feature selection, and overwhelming pre-processing tasks. To overcome these difficulties, we are proposing a blockchain framework for bot identification. At the current time, it is unknown how this method will perform, but it serves to prove the existence of an overwhelming gap of research under this area.<i></i></p>

Chinese Social Media Platforms and Microblogging in the Context of Public Diplomacy

Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 167-179
Author(s):  
E.S. Nadezhkina
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Public Diplomacy ◽  
User Generated Content ◽  
The Internet ◽  
Interactive Communication ◽  
Network Interaction ◽  
Social Media Platforms ◽  
The Right ◽  
Chinese Social Media

The term “digital public diplomacy” that appeared in the 21st century owes much to the emergence and development of the concept of Web 2.0 (interactive communication on the Internet). The principle of network interaction, in which the system becomes better with an increase in the number of users and the creation of user-generated content, made it possible to create social media platforms where news and entertainment content is created and moderated by the user. Such platforms have become an expression of the opinions of various groups of people in many countries of the world, including China. The Chinese segment of the Internet is “closed”, and many popular Western services are blocked in it. Studying the structure of Chinese social media platforms and microblogging, as well as analyzing targeted content is necessary to understand China’s public opinion, choose the right message channels and receive feedback for promoting the country’s public diplomacy. This paper reveals the main Chinese social media platforms and microblogging and provides the assessment of their popularity, as well as possibility of analyzing China’s public opinion based on “listening” to social media platforms and microblogging.

An Automatic Text Summarization Method with the Concern of Covering Complete Formation

2020 ◽  
Vol 13 (5) ◽  
pp. 977-986
Author(s):  
Srinivasa Rao Kongara ◽  
Dasika Sree Rama Chandra Murthy ◽  
Gangadhara Rao Kancherla
Keyword(s):  
Research Method ◽  
Research Work ◽  
Fuzzy Rule ◽  
Text Summarization ◽  
Document Summarization ◽  
Summarization Method ◽  
Overall Evaluation ◽  
Multiple Documents ◽  
Rule System ◽  
Value Decomposition

Background: Text summarization is the process of generating a short description of the entire document which is more difficult to read. This method provides a convenient way of extracting the most useful information and a short summary of the documents. In the existing research work, this is focused by introducing the Fuzzy Rule-based Automated Summarization Method (FRASM). Existing work tends to have various limitations which might limit its applicability to the various real-world applications. The existing method is only suitable for the single document summarization where various applications such as research industries tend to summarize information from multiple documents. Methods: This paper proposed Multi-document Automated Summarization Method (MDASM) to introduce the summarization framework which would result in the accurate summarized outcome from the multiple documents. In this work, multi-document summarization is performed whereas in the existing system only single document summarization was performed. Initially document clustering is performed using modified k means cluster algorithm to group the similar kind of documents that provides the same meaning. This is identified by measuring the frequent term measurement. After clustering, pre-processing is performed by introducing the Hybrid TF-IDF and Singular value decomposition technique which would eliminate the irrelevant content and would result in the required content. Then sentence measurement is one by introducing the additional metrics namely Title measurement in addition to the existing work metrics to accurately retrieve the sentences with more similarity. Finally, a fuzzy rule system is applied to perform text summarization. Results: The overall evaluation of the research work is conducted in the MatLab simulation environment from which it is proved that the proposed research method ensures the optimal outcome than the existing research method in terms of accurate summarization. MDASM produces 89.28% increased accuracy, 89.28% increased precision, 89.36% increased recall value and 70% increased the f-measure value which performs better than FRASM. Conclusion: The summarization processes carried out in this work provides the accurate summarized outcome.

Designing a Chat-Bot for College Information using Information Retrieval and Automatic Text Summarization Techniques

2020 ◽  
Vol 01 ◽  
Author(s):  
Radha Guha
Keyword(s):  
Information Retrieval ◽  
Language Processing ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Text Summarization ◽  
The Internet ◽  
Specific Domain ◽  
User Query ◽  
College Information ◽  
Chat Bot

Background:: In the era of information overload it is very difficult for a human reader to make sense of the vast information available in the internet quickly. Even for a specific domain like college or university website it may be difficult for a user to browse through all the links to get the relevant answers quickly. Objective:: In this scenario, design of a chat-bot which can answer questions related to college information and compare between colleges will be very useful and novel. Methods:: In this paper a novel conversational interface chat-bot application with information retrieval and text summariza-tion skill is designed and implemented. Firstly this chat-bot has a simple dialog skill when it can understand the user query intent, it responds from the stored collection of answers. Secondly for unknown queries, this chat-bot can search the internet and then perform text summarization using advanced techniques of natural language processing (NLP) and text mining (TM). Results:: The advancement of NLP capability of information retrieval and text summarization using machine learning tech-niques of Latent Semantic Analysis(LSI), Latent Dirichlet Allocation (LDA), Word2Vec, Global Vector (GloVe) and Tex-tRank are reviewed and compared in this paper first before implementing them for the chat-bot design. This chat-bot im-proves user experience tremendously by getting answers to specific queries concisely which takes less time than to read the entire document. Students, parents and faculty can get the answers for variety of information like admission criteria, fees, course offerings, notice board, attendance, grades, placements, faculty profile, research papers and patents etc. more effi-ciently. Conclusion:: The purpose of this paper was to follow the advancement in NLP technologies and implement them in a novel application.

Dimensi Edukatif pada Kisah-Kisah Al-Qur'an

SUHUF ◽  
2015 ◽  
Vol 3 (1) ◽  
pp. 69-83
Author(s):  
Novita Siswayanti
Keyword(s):  
Teaching Methods ◽  
Religious Values ◽  
Human Beings ◽  
Learning Materials ◽  
Transformative Power ◽  
Amount Of Information ◽  
Vast Amount ◽  
The Past ◽  
Religious Text ◽  
The Future

The stories in Qur'an are Allah’s decrees which convey more beau-tiful values beyond any religious text ever written. It is the holiest scripture and is written  in a wonderful, understandable, and attract-ive language humbly conveying a vast amount of information about life and events that happened in the past. It’s aim is to be an object of reflection for human beings living in this age and the future. Even more so, the stories in Al-Qur'an also entail an educative function providing learning materials,  and teaching methods, regarding the transformative power of Islam and the internalization of true religious values.

Introduction to the Digital Street

2018 ◽  
Author(s):  
Jeffrey Lane
Keyword(s):  
Social Media ◽  
The Internet ◽  
Outreach Worker ◽  
Digital Form ◽  
Street Life ◽  
Black And Latino

The first chapter introduces the concept of the digital street. The author argues that a digital form of street life plays out alongside the neighborhood on social media. The author discusses how the traditional boundaries of street life and the street code in particular have shifted as neighborhood space extends online. Black and Latino teenagers now experience their neighborhood differently from previous generations. The author explains the fieldwork this book is based upon. The author describes meeting “Pastor” and becoming an outreach worker in his peace ministry and then taking on additional roles online and offline with teenagers and concerned adults. This introductory chapter also gives background on access to smartphones and the Internet. A brief description of the contents of each chapter and the order of the chapters is provided.

Feminist Cyber-Artivism, Musicing, and Music Teaching and Learning

2020 ◽  
pp. 291-312
Author(s):  
Marissa Silverman
Keyword(s):  
Social Media ◽  
Music Education ◽  
Case Studies ◽  
Teaching And Learning ◽  
The Body ◽  
The Internet ◽  
Philosophical Investigation ◽  
Music Teaching ◽  
Music Making ◽  
The Voice

This chapter asks an important, yet seemingly illusive, question: In what ways does the internet provide (or not) activist—or, for present purposes “artivist”—opportunities and engagements for musicing, music sharing, and music teaching and learning? According to Asante (2008), an “artivist (artist + activist) uses her artistic talents to fight and struggle against injustice and oppression—by any medium necessary. The artivist merges commitment to freedom and justice with the pen, the lens, the brush, the voice, the body, and the imagination. The artivist knows that to make an observation is to have an obligation” (p. 6). Given this view, can (and should) social media be a means to achieve artivism through online musicing and music sharing, and, therefore, music teaching and learning? Taking a feminist perspective, this chapter interrogates the nature of cyber musical artivism as a potential means to a necessary end: positive transformation. In what ways can social media be a conduit (or hindrance) for cyber musical artivism? What might musicing and music sharing gain (or lose) from engaging with online artivist practices? In addition to a philosophical investigation, this chapter will examine select case studies of online artivist music making and music sharing communities with the above concerns in mind, specifically as they relate to music education.

scholarly journals Student Speech and Social Media: The Supreme Court Finally Enters the Fray

Laws ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 19
Author(s):  
Charles J. Russo
Keyword(s):  
Social Media ◽  
Public Schools ◽  
School District ◽  
Supreme Court ◽  
Extracurricular Activities ◽  
The Internet ◽  
Student Speech ◽  
American Military ◽  
The Supreme Court ◽  
Cyber Speech

Tinker v. Des Moines Independent Community School District was a watershed moment involving the First Amendment free speech rights of students in American public schools. In Tinker, the Supreme Court affirmed that absent a reasonable forecast of material and substantial disruption, educators could not discipline students who wore black arm bands to school protesting American military action in Viet Nam. Not surprisingly, litigation continues on the boundaries of student speech, coupled with the extent to which educators can limit expression on the internet, especially social media. As the Justices finally entered the fray over cyber speech, this three-part article begins by reviewing Tinker and other Supreme Court precedent on student expressive activity plus illustrative lower court cases before examining Levy v. Mahanoy Area School District. In Levy, the Court will consider whether educators could discipline a cheerleader, a student engaged in an extracurricular activity, who violated team rules by posting inappropriate off-campus messages on Snapchat. The article then offers policy suggestions for lawyers and educators when working with speech codes applicable to student use of the internet and social media by pupils involved in extracurricular activities.

scholarly journals Perceived truth of statements and simulated social media postings: an experimental investigation of source credibility, repeated exposure, and presentation format

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Lena Nadarevic ◽  
Rolf Reber ◽  
Anne Josephine Helmecke ◽  
Dilara Köse
Keyword(s):  
Social Media ◽  
Source Credibility ◽  
Repeated Exposure ◽  
Presentation Format ◽  
The Internet ◽  
Additive Effects ◽  
Fake News ◽  
Source Information ◽  
Internet Age

Abstract To better understand the spread of fake news in the Internet age, it is important to uncover the variables that influence the perceived truth of information. Although previous research identified several reliable predictors of truth judgments—such as source credibility, repeated information exposure, and presentation format—little is known about their simultaneous effects. In a series of four experiments, we investigated how the abovementioned factors jointly affect the perceived truth of statements (Experiments 1 and 2) and simulated social media postings (Experiments 3 and 4). Experiment 1 explored the role of source credibility (high vs. low vs. no source information) and presentation format (with vs. without a picture). In Experiments 2 and 3, we additionally manipulated repeated exposure (yes vs. no). Finally, Experiment 4 examined the role of source credibility (high vs. low) and type of repetition (congruent vs. incongruent vs. no repetition) in further detail. In sum, we found no effect of presentation format on truth judgments, but strong, additive effects of source credibility and repetition. Truth judgments were higher for information presented by credible sources than non-credible sources and information without sources. Moreover, congruent (i.e., verbatim) repetition increased perceived truth whereas semantically incongruent repetition decreased perceived truth, irrespectively of the source. Our findings show that people do not rely on a single judgment cue when evaluating a statement’s truth but take source credibility and their meta-cognitive feelings into account.

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