Multilabel Classification for Toxic Comments in Indonesian

2020 ◽  
Vol 2 (1) ◽  
pp. 29-34
Author(s):  
Reinert Yosua Rumagit
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Deep Learning ◽  
Rapid Development ◽  
The Internet ◽  
Learning Models ◽  
Accuracy Rate ◽  
Multilabel Classification ◽  
User Comments ◽  
Negative Comments

The more rapid development of the internet world, users can make comments on a variety of content on social networks, such as social media, blogs and others. Free users make comments triggering negative comments, making insults and incitement. By classifying user comments it is hoped that the system can be smarter to be able to distinguish threat, insult and incitement comments. The technique for classifying user comments uses deep learning, consisting of 6 classes. The results of experiments that have been conducted show that deep learning models produce an accuracy rate above 98%.

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>

Video Advertising: Connection and differences between consumers?

2021 ◽  
Vol 3 (1) ◽  
pp. 14-25
Author(s):  
Sónia Ferreira ◽  
Sara Santos ◽  
Pedro Espírito Santo
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Literature Review ◽  
Conceptual Model ◽  
The Internet ◽  
Internet Search ◽  
Video Advertising ◽  
Social Media Engagement

The internet search trend has caused that online users are looking for more and more enriched information. The evolution of social media has been huge and users relate to social networks differently than they did before. Currently, there are more than 4 billion active users on social networks and brands are looking to showcase their products and services. Our research found the following factors that influence social media engagement: informativeness, self-connection and advertising stimulation. Through literature review, we propose a conceptual model that has been tested in the PLS-SEM. Data were collected from 237 consumers and our survey found that engagement in social media is explained by the variables identified by our model. Important contributions to brand theory and management will be found in this investigation.

scholarly journals Using the New Media by Companies From the Sme Sector in Podkarpackie Province

2018 ◽  
Vol 4 (2) ◽  
pp. 85-95 ◽  
Author(s):  
Justyna Masłyk
Keyword(s):  
Social Networks ◽  
Social Media ◽  
New Media ◽  
Entire Population ◽  
The Internet ◽  
Research Project ◽  
Media Development ◽  
Preliminary Results ◽  
Online Presence ◽  
Use Of Social Media

Abstract The main purpose of this article is to present the results of research concerning the use of social media by companies from the SME sector in Podkarpackie Province. The article includes data obtained in the first stage of the study, which is a part of a research project on the use of social media in the area of creating the image of an organization / company as an employer.The survey covered the entire population of companies from the SME sector, which are registered in Podkarpackie Province (REGON database). The research phase, the results of which are presented in this article, mainly involved the analysis of data on companies from the SME sector in Podkarpackie Province in terms of their presence on the Internet (having an individual website, having company profiles on selected social networks). The results of the first stage of the study confirm that the companies see the potential of the online presence / functioning in social media (more and more companies have their own website, Facebook profiles). The dynamics of changes in this area is definitely not adequate to the pace of new media development. On the basis of preliminary results of further stages of the research, it can also be concluded that in the vast majority of cases, however, these are non-strategic and non-systematic activities.

Deep Learning and Machine Learning Techniques for Analyzing Travelers' Online Reviews

2022 ◽  
pp. 20-39
Author(s):  
Elliot Mbunge ◽  
Benhildah Muchemwa
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Deep Learning ◽  
Hospitality Industry ◽  
Learning Models ◽  
Online Data ◽  
Social Media Platforms ◽  
Using Data ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

Social media platforms play a tremendous role in the tourism and hospitality industry. Social media platforms are increasingly becoming a source of information. The complexity and increasing size of tourists' online data make it difficult to extract meaningful insights using traditional models. Therefore, this scoping and comprehensive review aimed to analyze machine learning and deep learning models applied to model tourism data. The study revealed that deep learning and machine learning models are used for forecasting and predicting tourism demand using data from search query data, Google trends, and social media platforms. Also, the study revealed that data-driven models can assist managers and policymakers in mapping and segmenting tourism hotspots and attractions and predicting revenue that is likely to be generated, exploring targeting marketing, segmenting tourists based on their spending patterns, lifestyle, and age group. However, hybrid deep learning models such as inceptionV3, MobilenetsV3, and YOLOv4 are not yet explored in the tourism and hospitality industry.

Play It Like Beckham!

2017 ◽  
pp. 43-61
Author(s):  
Sylvaine Castellano ◽  
Insaf Khelladi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Academic Research ◽  
Future Research ◽  
The Internet ◽  
Research Directions ◽  
Media Usage ◽  
Future Research Directions ◽  
The Impact

New opportunities and challenges are emerging thanks to the growing Internet importance and social media usage. Although practitioners have already recognized the strategic dimension of e-reputation and the power of social media, academic research is still in its infancy when it comes to e-reputation determinants in a social networks context. A study was conducted in the sports setting to explore the impact of social networks on the sportspeople's e-reputation. Whereas the study emphasized (1) the influence of social networks' perception on the sportspeople's e-reputation, and the neutral roles of (2) the motives for following sportspeople online, and (3) the negative content on the Internet, additional insights are formulated on maintaining, restoring and managing e-reputation on social networks. Finally, future research directions are suggested on the role of image to control e-reputation.

Fake News Polarization for Sentiment Analysis

2022 ◽  
pp. 255-263
Author(s):  
Chirag Visani ◽  
Vishal Sorathiya ◽  
Sunil Lavadiya
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Online Social Networks ◽  
Opinion Mining ◽  
Easy Access ◽  
The Internet ◽  
Fake News ◽  
Social Media Networks ◽  
Sentiment Mining

The popularity of the internet has increased the use of e-commerce websites and news channels. Fake news has been around for many years, and with the arrival of social media and modern-day news at its peak, easy access to e-platform and exponential growth of the knowledge available on social media networks has made it intricate to differentiate between right and wrong information, which has caused large effects on the offline society already. A crucial goal in improving the trustworthiness of data in online social networks is to spot fake news so the detection of spam news becomes important. For sentiment mining, the authors specialise in leveraging Facebook, Twitter, and Whatsapp, the most prominent microblogging platforms. They illustrate how to assemble a corpus automatically for sentiment analysis and opinion mining. They create a sentiment classifier using the corpus that can classify between fake, real, and neutral opinions in a document.

The Influence of Social Networks on E-Reputation

2014 ◽  
Vol 10 (4) ◽  
pp. 65-79 ◽  
Author(s):  
Sylvaine Castellano ◽  
Insaf Khelladi ◽  
Amélie Chipaux ◽  
Célia Kupferminc
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Communities ◽  
The Internet ◽  
Use Of Social Media ◽  
Online Reputation ◽  
The Relationship

With the increased importance of the Internet and the use of social media, new opportunities and challenges emerge to manage the relationship with audiences and online communities. While the professional world already acknowledged such dynamics, further analysis is needed in the academic scene. A survey conducted in the sports setting shows that the perception of social networks influences athletes' e-reputation. However, the motives for following athletes online have no influence on their e-reputation. Finally, the results highlight that e-reputation is not affected by negative content on the internet. This research has both academic and managerial contributions regarding online reputation and social media.

NEWS LITERACY SKILLS FOR INTERNET AND SOCIAL MEDIA USERS

2020 ◽  
Vol 10 (Special) ◽  
pp. 105-112
Author(s):  
Thi Yen Minh Tran ◽  
Thi Huong Pham
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Digital Media ◽  
Literacy Skills ◽  
The Internet ◽  
Media Usage ◽  
Internet Users ◽  
Fundamental Understanding ◽  
News Literacy ◽  
Massive Information

The 21st century is acknowledged as the age of information. Thanks to the development of science and technology, the audience become more active in absorbing and distributing information. However, the massive information on the Internet in general, and social networks in particular, is sometimes unreliable, inaccurate and untrustworthy, which can mislead the Internet users. By generalising the Internetand social media usage of Vietnameseaudience, the article provides a fundamental understanding ofinformation categorisation. By that, itsuggests several techniques todevelopcritical thinking and news literacy skills for audience tobecome a critical reader in the age of digital media.

Hashtag Islam

2018 ◽  
Author(s):  
Gary R. Bunt
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Digital Media ◽  
Digital Technology ◽  
Religious Faith ◽  
Essential Elements ◽  
Religious Practices ◽  
The Internet ◽  
Islamic State ◽  
Holistic Interpretation

This book explores the diverse ways digital technology is shaping how Muslims across vast territories relate to religious authorities in fulfilling spiritual, mystical, and legalistic agendas. From social networks to websites, essential elements of religious practices and authority now have representation online. Muslims, embracing the immediacy and general accessibility of the internet, are increasingly turning to cyberspace for advice and answers to important religious questions. Online environments often challenge traditional models of authority, however. One result is the rise of digitally literate religious scholars and authorities whose influence and impact go beyond traditional boundaries of imams, mullahs, and shaikhs. The book shows how online rhetoric and social media are being used to articulate religious faith by many different kinds of Muslim organizations and individuals, from Muslim comedians and women’s rights advocates to jihad-oriented groups, such as the “Islamic State” and al-Qaeda, which relied on strategic digital media policies to augment and justify their authority and draw recruits. Hashtag Islam makes clear that understanding CIEs is crucial for the holistic interpretation of authority in contemporary Islam.

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