scholarly journals ETIKA BERBHINEKA: BELAJAR MEMBANGUN KESADARAN MULTIKULTURALISME DARI NABI DAN PARA WALI

2021 ◽  
Vol 21 (02) ◽  
pp. 246-271
Author(s):  
Fahim Khasani
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Pluralistic Society

The problem of multiculturalism is the problem of our civilization. Indonesia with all its differences and cultural richness is one of the countries that has the potential for horizontal conflict. The efforts to unite and maintain unity must be three steps ahead of the threat of disintegration. The disruption era that is completely unpredictable and hoaxes and hate speech on social media makes it difficult to maintain security and maintain a conducive, harmonious and peaceful situation. Hostile with the others is not tradition of Nusantara people. Our tradition is a dialogue as well as strengthening the harmony of every difference. In this case, the Prophet Muhammad and the Walisongo have set a good example of living side by side with different communities. This article will discuss the strategies of the Walisongo in dialogue between religion and culture, as well as the strategy of the Prophet Mohammed in managing differences and building harmony in a pluralistic society. The results of the study conclude that to build a nation that is baldatun thayyibah wa Rabbun ghafur, it is necessary to have a society that is not only saleh ritual, but also saleh sosial and saleh kultural.

Pembelajaran Integrasi tentang Etika Penggunaan Media Sosial dalam Materi Ajar Pendidikan Agama Islam di Sekolah Menangah Atas

2019 ◽  
Vol 3 (1) ◽  
pp. 72
Author(s):  
Irfan Afandi
Keyword(s):  
Social Media ◽  
Industrial Revolution ◽  
Hate Speech ◽  
Islamic Education ◽  
Learning Models ◽  
Negative Effects ◽  
Education Material ◽  
Use Of Social Media ◽  
The Waves ◽  
Critical Reason

The humanitarian problem in the development of the industrial revolution 4.0 is very complex and is at the stage of worrying. No human being separated from the effect of the waves. High school is active users (user) of the results of the industrial revolution the 4.0. The problem that arises in the use of social media including the demise of expertise, the dissemination of hate speech and fabricated news. Teaching Islamic education material should be able to respond to this by providing normative information in the Qur'an and Hadith so that students can escape from its negative effects. One of the solutions offered was to integrate these materials with integratsi learning models in the themes that have been arranged in the school's learning policy. Integrating this material must through the phases between the awarding phase of learning, information or materials to grow a critical reason, generate hypotheses and generalities.

scholarly journals Minimal Effects, Maximum Panic: Social Media and Democracy in Latin America

2020 ◽  
Vol 6 (4) ◽  
pp. 205630512098445
Author(s):  
Eugenia Mitchelstein ◽  
Mora Matassi ◽  
Pablo J. Boczkowski
Keyword(s):  
Social Media ◽  
Latin America ◽  
Social Engagement ◽  
Hate Speech ◽  
De Novo ◽  
Electronic Government ◽  
Qualitative Assessment ◽  
Common Denominator ◽  
Negative Effects ◽  
Positive Effects

In face of public discourses about the negative effects that social media might have on democracy in Latin America, this article provides a qualitative assessment of existing scholarship about the uses, actors, and effects of platforms for democratic life. Our findings suggest that, first, campaigning, collective action, and electronic government are the main political uses of platforms. Second, politicians and office holders, social movements, news producers, and citizens are the main actors who utilize them for political purposes. Third, there are two main positive effects of these platforms for the democratic process—enabling social engagement and information diffusion—and two main negative ones—the presence of disinformation, and the spread of extremism and hate speech. A common denominator across positive and negative effects is that platforms appear to have minimal effects that amplify pre-existing patterns rather than create them de novo.

scholarly journals A Web Interface for Analyzing Hate Speech

2021 ◽  
Vol 13 (3) ◽  
pp. 80
Author(s):  
Lazaros Vrysis ◽  
Nikolaos Vryzas ◽  
Rigas Kotsakis ◽  
Theodora Saridou ◽  
Maria Matsiola ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Graphical User Interface ◽  
Hate Speech ◽  
Web Interface ◽  
Learning Models ◽  
Speech Detection ◽  
Media Services ◽  
The Web ◽  
Machine Learning Models

Social media services make it possible for an increasing number of people to express their opinion publicly. In this context, large amounts of hateful comments are published daily. The PHARM project aims at monitoring and modeling hate speech against refugees and migrants in Greece, Italy, and Spain. In this direction, a web interface for the creation and the query of a multi-source database containing hate speech-related content is implemented and evaluated. The selected sources include Twitter, YouTube, and Facebook comments and posts, as well as comments and articles from a selected list of websites. The interface allows users to search in the existing database, scrape social media using keywords, annotate records through a dedicated platform and contribute new content to the database. Furthermore, the functionality for hate speech detection and sentiment analysis of texts is provided, making use of novel methods and machine learning models. The interface can be accessed online with a graphical user interface compatible with modern internet browsers. For the evaluation of the interface, a multifactor questionnaire was formulated, targeting to record the users’ opinions about the web interface and the corresponding functionality.

scholarly journals Social Media Toxicity Classification Using Deep Learning: Real-World Application UK Brexit

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1332
Author(s):  
Hong Fan ◽  
Wu Du ◽  
Abdelghani Dahou ◽  
Ahmed A. Ewees ◽  
Dalia Yousri ◽  
...  
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Modern Society ◽  
User Generated Content ◽  
Real World Application ◽  
Proposed Model ◽  
Social Media Platforms ◽  
Public Dataset ◽  
The Uk ◽  
Harmful Side Effect

Social media has become an essential facet of modern society, wherein people share their opinions on a wide variety of topics. Social media is quickly becoming indispensable for a majority of people, and many cases of social media addiction have been documented. Social media platforms such as Twitter have demonstrated over the years the value they provide, such as connecting people from all over the world with different backgrounds. However, they have also shown harmful side effects that can have serious consequences. One such harmful side effect of social media is the immense toxicity that can be found in various discussions. The word toxic has become synonymous with online hate speech, internet trolling, and sometimes outrage culture. In this study, we build an efficient model to detect and classify toxicity in social media from user-generated content using the Bidirectional Encoder Representations from Transformers (BERT). The BERT pre-trained model and three of its variants has been fine-tuned on a well-known labeled toxic comment dataset, Kaggle public dataset (Toxic Comment Classification Challenge). Moreover, we test the proposed models with two datasets collected from Twitter from two different periods to detect toxicity in user-generated content (tweets) using hashtages belonging to the UK Brexit. The results showed that the proposed model can efficiently classify and analyze toxic tweets.

New Indian online rules risk state overreach and abuse

2021 ◽  
Keyword(s):  
Social Media ◽  
News Media ◽  
Public Discourse ◽  
Hate Speech ◽  
Central Government ◽  
Service Providers ◽  
Online News ◽  
Content Type ◽  
Digital Service ◽  
The Government

Significance The new rules follow a stand-off between Twitter and the central government last month over some posts and accounts. The government has used this stand-off as an opportunity not only to tighten rules governing social media, including Twitter, WhatsApp, Facebook and LinkedIn, but also those for other digital service providers including news publishers and entertainment streaming companies. Impacts Government moves against dominant social media platforms will boost the appeal of smaller platforms with light or no content moderation. Hate speech and harmful disinformation are especially hard to control and curb on smaller platforms. The new rules will have a chilling effect on online public discourse, increasing self-censorship (at the very least). Government action against online news media would undercut fundamental democratic freedoms and the right to dissent. Since US-based companies dominate key segments of the Indian digital market, India’s restrictive rules could mar India-US ties.

scholarly journals Hate Speech Classification in Social Media Using Emotional Analysis

2018 ◽  
Author(s):  
Ricardo Martins ◽  
Marco Gomes ◽  
Jose Joao Almeida ◽  
Paulo Novais ◽  
Pedro Henriques
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Speech Classification

scholarly journals Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces

2021 ◽  
Author(s):  
Vanessa Hahn ◽  
Dana Ruiter ◽  
Thomas Kleinbauer ◽  
Dietrich Klakow
Keyword(s):  
Social Media ◽  
Hate Speech
Sign in / Sign up

Export Citation Format

Share Document