scholarly journals Hate Speech Used by Haters of Lady Gaga on Social Media

2019 ◽  
Vol 14 (4) ◽  
pp. 573
Author(s):  
Indah Permata Sari Siahaan ◽  
Rahmadsyah Rangkuti ◽  
Rohani Ganie
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Qualitative Design ◽  
Lady Gaga ◽  
Pragmatic Study ◽  
Descriptive Qualitative

This research investigates impolite utterances by haters of Lady Gaga on her instagram comments through pragmatic study. The object is to find out the types and functions of impoliteness strategies. This research was conducted by descriptive qualitative design. The data were words, phrases and clauses. The sources of data were comments of Lady Gaga haters in a photo which posted on January 10th 2019 on her instagram account. The findings of the study show that: (1) There are four types of impoliteness strategies found on comments of Lady Gaga’s instagram namely positive impoliteness, bald on record impoliteness, negative impoliteness, and sarcasm. Positive and negative impoliteness are the high percentage strategies while sarcasm is the lowest frequency strategy to occur in this research. (2) There are three functions of impoliteness strategies are used by haters of Lady Gaga on her instagram comments. They are entertaining impoliteness, affective impoliteness, and coercive impoliteness.

scholarly journals The Analysis of Shouryakugo on Social Media Twitter

IZUMI ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 92-97
Author(s):  
Sonda Sanjaya
Keyword(s):  
Social Media ◽  
Formation Process ◽  
Study Data ◽  
Qualitative Design ◽  
Final Syllable ◽  
First Words ◽  
Descriptive Qualitative

This study examined the morphology of shouryakugo on social media Twitter. This study aims to determine the type and process of shouryakugo formation on Twitter. The study data were taken from tweets that were trending with hashtag # 社会 between January and March 2019. A descriptive qualitative design was employed in this study. The data obtained were categorized and analyzed based on the formation process. The results of this study showed the types and processes of shouryakugo formation. The findings include four forms of zenbu shouryakukei, 32 forms of gobu shouryakukei, five forms of chuushouryaku kei, one form of zengo shouryaku kei, and 21 forms of kousei youso tanbun ketsugoukei. Meanwhile, in the process of forming shouryaku, the researcher found four words with the omission of parts or all of the first words, two words with the omission of parts or all of the second words, twenty-five words with the omission of syllables at the end of words, two words with the omission of syllables at the end of the first word and all second words, twenty-one words with the omission of syllables at the end of the first word and the second-word element, three words with the omission of all second words, five words with the omission of middle words, one word with the omission of the first syllable of the first word and the final syllable of the second word.

scholarly journals Reviewing Hate Speech in Indonesian Social Media Content: Gender and Discourse Perspectives

ELT-Lectura ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 48-55
Author(s):  
Sri Wahyuningsih
Keyword(s):  
Social Media ◽  
Qualitative Method ◽  
Hate Speech ◽  
Physical Appearance ◽  
Media Content ◽  
Men And Women ◽  
Political Issues ◽  
Negative Impacts ◽  
Descriptive Qualitative

The increased conflicts and online propaganda on social media recently have raised the negative impacts on the society such as violence and conflicts. This article mainly reviews the hate speech in Indonesian social media content viewed from the gender and discourse perspectives. Further, it explores the importance of using the language of peace on social media such as you tube, Twitter, Facebook, Instagram and so on as an effort to prevent the potential for conflicts. This study uses a descriptive qualitative method to describe the phenomenon of the use of hate speech and propaganda in social media. The writer collected data from a number of quotes and writing on social media particularly Facebook and Instagram containing hate speech, threats, propaganda, and incitement leading to negative reactions of the society. The result shows that women may have more preference dealing with physical appearance issues to political ones.  This can be seen clearly through the comments stated by women in social media particularly Facebook. Meanwhile, men tend to have preferences on commenting political issues in social media to physical appearance. Furthermore, they dare to take a risk and power in relation with political issues. Thus, the users of social media both men and women are encouraged to be wise in using social media that can be achieved by using the language of peace to prevent the potential for online conflicts among the society.

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 Household medication safety practices during the COVID-19 pandemic: a descriptive qualitative study protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e044441
Author(s):  
Tamasine C Grimes ◽  
Sara Garfield ◽  
Dervla Kelly ◽  
Joan Cahill ◽  
Sam Cromie ◽  
...  
Keyword(s):  
Social Media ◽  
Qualitative Study ◽  
Medication Safety ◽  
Best Practice ◽  
Public Involvement ◽  
Comparative Method ◽  
Patient And Public Involvement ◽  
Safety Practices ◽  
Trinity College Dublin ◽  
Descriptive Qualitative

IntroductionThose who are staying at home and reducing contact with other people during the COVID-19 pandemic are likely to be at greater risk of medication-related problems than the general population. This study aims to explore household medication practices by and for this population, identify practices that benefit or jeopardise medication safety and develop best practice guidance about household medication safety practices during a pandemic, grounded in individual experiences.Methods and analysisThis is a descriptive qualitative study using semistructured interviews, by telephone or video call. People who have been advised to ‘cocoon’/‘shield’ and/or are aged 70 years or over and using at least one long-term medication, or their caregivers, will be eligible for inclusion. We will recruit 100 patient/carer participants: 50 from the UK and 50 from Ireland. Recruitment will be supported by our patient and public involvement (PPI) partners, personal networks and social media. Individual participant consent will be sought, and interviews audio/video recorded and/or detailed notes made. A constructivist interpretivist approach to data analysis will involve use of the constant comparative method to organise the data, along with inductive analysis. From this, we will iteratively develop best practice guidance about household medication safety practices during a pandemic from the patient’s/carer’s perspective.Ethics and disseminationThis study has Trinity College Dublin, University of Limerick and University College London ethics approvals. We plan to disseminate our findings via presentations at relevant patient/public, professional, academic and scientific meetings, and for publication in peer-reviewed journals. We will create a list of helpful strategies that participants have reported and share this with participants, PPI partners and on social media.

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.

Sign in / Sign up

Export Citation Format

Share Document