scholarly journals KONTEKSTUALISASI PEMAHAMAN HADIS AL-IFKI (HOAX) DALAM BERINTERAKSI DI MEDIA SOSIAL: Aplikasi Hermeneutika Nasr Hamid Abu Zayd

2021 ◽  
Vol 7 (2) ◽  
pp. 221
Author(s):  
Muhammad Mundzir
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Good Information ◽  
Media Interaction

<p><span>Artikel ini membahas tentang pemahaman </span><em><span>hadis al-ifki </span></em><span>yang menceritakan tentang fitnah yang dituduhkan oleh Aisyah. Hadis tersebut mengandung beberapa isu yang bisa ditarik ke zaman media sosial sekarang, di mana banyak terjadi pergeseran penggunaannya. Media sosial bukan lagi menjadi sarana untuk menyebarkan informasi yang berguna menambah wawasan masyarakat, tapi juga menjadi sarana untuk menyebarkan fitnah, ujaran kebencian, dan hoax. Maka dari itu, penulis mencoba mengontekstualisasikan pemahaman dari </span><em><span>h</span><span>adis al-Ifki</span></em><span>. Penulis menggunakan Hermeneutika yang digagas oleh Nasr Hamid Abu Zayd, di mana dalam metodologinya terdapat tiga prinsip yang harus dilakukan, yaitu mencari, <em>dalalah, maghza, </em>dan, <em>maskut ‘anhu. </em>Hasil dari aplikasi menggunakan Hermeneutika Nasr Hamid Abu Zayd adalah bahwa dalam bermedia sosial perlu bagi pengguna untuk memberikan informasi yang baik, sebab hal tersebut akan dinilai sedekah. Pengguna media sosial juga perlu untuk menghargai perasaan orang lain ketika akan memosting sesuatu. Selain itu, jika tidak dapat melakukan hal yang bersifat positif bagi media sosial, maka lebih baik diam.</span></p><p>[<strong><span>Contextualization of Understanding <em>Hadith al-Ifki</em> on Social Media Interaction: An Application of Nasr Hamid Abu Zayd's Hermeneutics</span></strong><span>. This article discusses the understanding of <em>hadith al-ifki</em> which tells about the slander alleged by Aisyah. The hadith contains several issues that can be drawn into the current era of social media, where there are many shifts in its use. Social media is no longer a means to disseminate useful information to broaden the public's knowledge, but also a means to spread slander, hate speech, and hoaxes. Therefore, the author tries to contextualize the understanding of the <em>hadith al-ifki.</em> The author uses Hermeneutics which was initiated by Nasr Hamid Abu Zayd, where in the methodology there are three principles that must be carried out, namely seeking, dalalah, maghza, and, maskut 'anhu. The result of the application using Nasr Hamid Abu Zayd's Hermeneutics is that in social media it is necessary for users to provide good information, because this will be considered as alms. Social media users also need to respect other people's feelings when posting something. In addition, if you can not do something positive for social media, then it is better to be silent.]</span></p>

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
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