A Preliminary Analysis of Offensive Language Detection Transferability from Social Media to Video Live Streaming Platforms

2021 ◽  
pp. 121-132
Author(s):  
Zhiwei Gao ◽  
Shuntaro Yada ◽  
Shoko Wakamiya ◽  
Eiji Aramaki
Keyword(s):  
Social Media ◽  
Preliminary Analysis ◽  
Live Streaming ◽  
Offensive Language ◽  
Language Detection

scholarly journals Offensive Language Detection on Video Live Streaming Chat

2020 ◽  
Author(s):  
Zhiwei Gao ◽  
Shuntaro Yada ◽  
Shoko Wakamiya ◽  
Eiji Aramaki
Keyword(s):  
Live Streaming ◽  
Offensive Language ◽  
Language Detection

Hate Speech and Offensive Language Detection from Social Media

2021 ◽  
Author(s):  
Vildan Mercan ◽  
Akhtar Jamil ◽  
Alaa Ali Hameed ◽  
Irfan Ahmed Magsi ◽  
Sibghatullah Bazai ◽  
...  
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Offensive Language ◽  
Language Detection

scholarly journals AdelaideCyC at SemEval-2020 Task 12: Ensemble of Classifiers for Offensive Language Detection in Social Media

2020 ◽  
Author(s):  
Mahen Herath ◽  
Thushari Atapattu ◽  
Hoang Anh Dung ◽  
Christoph Treude ◽  
Katrina Falkner
Keyword(s):  
Social Media ◽  
Ensemble Of Classifiers ◽  
Offensive Language ◽  
Language Detection

scholarly journals USAD: An Intelligent System for Slang and Abusive Text Detection in PERSO-Arabic-Scripted Urdu

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Nauman Ul Haq ◽  
Mohib Ullah ◽  
Rafiullah Khan ◽  
Arshad Ahmad ◽  
Ahmad Almogren ◽  
...  
Keyword(s):  
Social Media ◽  
Significant Contribution ◽  
Intelligent System ◽  
Automatic Detection ◽  
Limited Resources ◽  
Future Research ◽  
Key Factors ◽  
Media Companies ◽  
Offensive Language ◽  
Language Detection

The use of slang, abusive, and offensive language has become common practice on social media. Even though social media companies have censorship polices for slang, abusive, vulgar, and offensive language, due to limited resources and research in the automatic detection of abusive language mechanisms other than English, this condemnable act is still practiced. This study proposes USAD (Urdu Slang and Abusive words Detection), a lexicon-based intelligent framework to detect abusive and slang words in Perso-Arabic-scripted Urdu Tweets. Furthermore, due to the nonavailability of the standard dataset, we also design and annotate a dataset of abusive, offensive, and slang word Perso-Arabic-scripted Urdu as our second significant contribution for future research. The results show that our proposed USAD model can identify 72.6% correctly as abusive or nonabusive Tweet. Additionally, we have also identified some key factors that can help the researchers improve their abusive language detection models.

scholarly journals Offensive Language Detection in Nepali Social Media

2021 ◽  
Author(s):  
Nobal B. Niraula ◽  
Saurab Dulal ◽  
Diwa Koirala
Keyword(s):  
Social Media ◽  
Offensive Language ◽  
Language Detection

scholarly journals Brand Promotion Peculiarities

2021 ◽  
pp. 82-86
Author(s):  
Svitlana Ivanytska ◽  
Anna Aheicheva
Keyword(s):  
Social Media ◽  
Personal Selling ◽  
Loyalty Programs ◽  
Consumer Confidence ◽  
The Internet ◽  
Live Streaming ◽  
Brand Name ◽  
Free Trial ◽  
Brand Promotion ◽  
Valuable Content

The brand promotion peculiarities are studied. It has been determined that the process of brand promotion includes: marketing a brand name and logo, making souvenirs, placing on various media, releasing videos, layouts for advertising, announcements on the Internet and much more. Used methods to promote brands are considered, such as: advertising, personal selling, packaging, 360° campaign, brand promotion on the Internet. The ways to promote a brand have been proven to be: website building, search engine optimization, social media, live streaming, storytelling, creating valuable content, blogging, email, LinkedIn Publishing Platform, prizes, infographics, car wraps, networking events, offline ads, promotions, loyalty programs, free trial product giveaways, strong branding. As a result of the study, it was found that brand promotion is the creation of consumer confidence in a product.

Categorizing Live Streaming Moderation Tools

2019 ◽  
Vol 9 (2) ◽  
pp. 36-50 ◽  
Author(s):  
Jie Cai ◽  
Donghee Yvette Wohn
Keyword(s):  
Social Media ◽  
Real Time ◽  
Algorithm Design ◽  
Third Party ◽  
Live Streaming ◽  
Message Content ◽  
Design And Development ◽  
Activity Tracking ◽  
Synchronous Interaction

Twitch is one of the largest live streaming platforms and is unique from other social media in that it supports synchronous interaction and enables users to engage in moderation of the content through varied technical tools, which include auto-moderation tools provided by Twitch, third-party applications, and home-brew apps. The authors interviewed 21 moderators on Twitch and categorized the current features of real-time moderation tools they are using into four functions (chat control, content control, viewer control, settings control) and explored some new features of tools that they wish to own (e.g., grouping chat by languages, pop out window to hold messages, chat slow down, a set of buttons with pre-written/pre-message content, viewer activity tracking, all in one). Design implications provide suggestions for chatbots and algorithm design and development.

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