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.

Real Time Bidding System as a mediating technology of organization

2019 ◽  
pp. 390-400
Author(s):  
Theodore Vurdubakis
Keyword(s):  
Social Media ◽  
Real Time ◽  
Third Party ◽  
Internet And Social Media

This chapter focuses on Real-Time Bidding (RTB) as representative of the market devices by which the commercialization of attention is currently organized. RTB enables advertisers (in the form of automated agents) to select and target Internet and social media users in real time and through multiple third-party websites. In so doing, the devices and machinations of digital advertising bring into being complex chains of parasitic (in Serres’ sense) inhabitations as advertisers, publishers, fraudsters, bots, etc. jockey for the best positions from which to intercept and divert money and attention.

scholarly journals Using XProc, XSLT 2.0, and XSD 1.1 to validate RESTful services

2012 ◽  
Author(s):  
Jorge Luis Williams ◽  
David Cramer
Keyword(s):  
Real Time ◽  
Transformation Process ◽  
Third Party ◽  
Message Content ◽  
Highly Efficient ◽  
Time Optimization ◽  
Rest Service ◽  
Restful Service ◽  
Restful Services ◽  
Real Time Optimization

Documentation of RESTful services must be accurate and detailed. As a REST service is being developed, the documentation must be kept up to date and its accuracy constantly validated. Once the REST service is released the documentation becomes a contract; clients may break if an implementation drifts from the documented rules. Also, third-party implementations must adhere to the rules in order for clients to interact with multiple implementations without issue. Ensuring conformance to the documentation is complicated, tedious, and error prone. We use our existing XML documentation pipeline to generate highly efficient validators which can check a RESTful service (and it's clients) for conformance to the documentation at runtime. We validate all aspects of the HTTP request including message content, URI templates, query parameters, headers, etc. We describe the transformation process and some of the optimizations that enable real time optimization and discuss challenges including testing the documentation pipeline and the validators themselves.

Techniques of Viral Marketing

2019 ◽  
Vol 118 (6) ◽  
pp. 97-99
Author(s):  
Arockia Jeyasheela A ◽  
Dr.S. Chandramohan
Keyword(s):  
Social Media ◽  
Real Time ◽  
Word Of Mouth ◽  
Viral Marketing ◽  
Consumer Perception ◽  
Key Word ◽  
The Right ◽  
A Company

This study is discussed about the viral marketing. It is a one of the key success of marketing. This paper gave the techniques of viral marketing. It can be delivered word of mouth. It can be created by both the representatives of a company and consumer (individuals or communities). The right viral message with go to right consumer to the right time. Viral marketing is easy to attract the consumer. It is most important advertising to consumer. It involves consumer perception, organization contribution, blogs, SMO (Social Media Optimize), SEO (Social Engine Optimize). Principles of viral marketing are social profile gathering, Proximity Market, Real time Key word density.

STRATEGI PENGEMBANGAN SULAM BAYANG

2018 ◽  
Vol 3 (2) ◽  
pp. 204
Author(s):  
Doni Marlius ◽  
Rino Dwi Putra ◽  
Elva Dona
Keyword(s):  
Social Media ◽  
Local Government ◽  
Production Capacity ◽  
Design And Development ◽  
Good Relationship ◽  
Use Of Technology ◽  
Skilled Manpower ◽  
Cooperative Institution ◽  
Descriptive Method

<p><em>This research was conducted using descriptive method to analyze and interpret the condition or condition of shadow embroidery industry barung barung balantai so that policy can be taken. The result of this research is shadow embroidery artisans must maximize social media for promotion, improve good relationship with local government in the form of continuous cooperation in order to maximize the existing potential in the shadow embroidery, utilize existing skilled manpower to do the coaching on the craftsmen so that the amount increases to increase production capacity and there is cutting time in the work, cooperating with other industries that support shadow embroidery such as bags, shoes, etc. through local government, making a joint container or a kind of shadow embroidery union can be a cooperative institution, marketing institutions or other institutions, increasing skill of craftsmen in processing materials embroidery and skill from the owner in managing his group facing competition with other products, as well as increasing the use of technology in the design and development of motives.</em></p><p><em><br /></em></p><p>Penelitian ini dilakukan menggunakan metode deskriptif untuk menganalisis dan menginterprestasikan keadaan atau kondisi industri sulam bayangan barung barung balantai sehingga dapat diambil kebijakan. Hasil penelitian ini pengrajin sulam bayangan harus memaksimalkan media sosial untuk promosi, meningkatkan hubungan baik dengan pemerintah daerah berupa kerjasama yang kontinue guna memaksimalkan potensi yang ada pada sulam bayangan, memanfaatkan tenaga terampil yang ada untuk melakukan pembinaan pada pengrajin sehingga jumlahnya bertambah agar kapasitas produksi meningkat dan ada pemangkasan waktu dalam pengerjaan, menjalin kerjasama dengan industri lain yang mendukung sulam bayangan seperti tas, sepatu, dll melalui pemerintah daerah, membuat wadah bersama atau semacam persatuan sulam bayangan bisa berupa lembaga koperasi, lembaga pemasaran ataupun lembaga lainnya, meningkatkan skill pengrajin dalam mengolah bahan sulam dan skill dari pemilik dalam mengelola kelompoknya menghadapi persaingan dengan produk lain, serta meningkatkan penggunaan teknologi dalam desain dan pengembangan motif.</p><p><em><br /></em></p>

A framework for design and development of real-time IKBS applications

1991 ◽  
Vol 8 (6) ◽  
pp. 241
Author(s):  
Bhanu Pokkunuri ◽  
John Readle ◽  
Peter Watson
Keyword(s):  
Real Time ◽  
Design And Development

scholarly journals Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem

2021 ◽  
pp. 089443932110122
Author(s):  
Dennis Assenmacher ◽  
Derek Weber ◽  
Mike Preuss ◽  
André Calero Valdez ◽  
Alison Bradshaw ◽  
...  
Keyword(s):  
Social Media ◽  
Data Sharing ◽  
Algorithm Design ◽  
Computational Social Science ◽  
Evaluation Framework ◽  
Social Media Analytics ◽  
Data Sets ◽  
The Public ◽  
Research Areas ◽  
Media Data

Computational social science uses computational and statistical methods in order to evaluate social interaction. The public availability of data sets is thus a necessary precondition for reliable and replicable research. These data allow researchers to benchmark the computational methods they develop, test the generalizability of their findings, and build confidence in their results. When social media data are concerned, data sharing is often restricted for legal or privacy reasons, which makes the comparison of methods and the replicability of research results infeasible. Social media analytics research, consequently, faces an integrity crisis. How is it possible to create trust in computational or statistical analyses, when they cannot be validated by third parties? In this work, we explore this well-known, yet little discussed, problem for social media analytics. We investigate how this problem can be solved by looking at related computational research areas. Moreover, we propose and implement a prototype to address the problem in the form of a new evaluation framework that enables the comparison of algorithms without the need to exchange data directly, while maintaining flexibility for the algorithm design.

Social Listening to Create Bespoke Customer Experiences: Best Practices for Hospitality Operators

2021 ◽  
pp. 193896552199308
Author(s):  
Kathryn A. LaTour ◽  
Ana Brant
Keyword(s):  
Social Media ◽  
Best Practices ◽  
Real Time ◽  
Brand Image ◽  
Customer Experience ◽  
Current Experience ◽  
Social Listening

Most hospitality operators use social media in their communications as a means to communicate brand image and provide information to customers. Our focus is on a two-way exchange whereby a customer’s social posting is reacted to in real-time by the provider to enhance the customer’s current experience. Using social media in this way is new, and the provider needs to carefully balance privacy and personalization. We describe the process by which the Dorchester Collection Customer Experience (CX) Team approached its social listening program and share lessons to identify best practices for hospitality operators wanting to delight their customers through insights gained from social listening.

scholarly journals DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Suppawong Tuarob ◽  
Poom Wettayakorn ◽  
Ponpat Phetchai ◽  
Siripong Traivijitkhun ◽  
Sunghoon Lim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Data Collection ◽  
Stock Market ◽  
Real Time ◽  
Stock Prices ◽  
Contextual Information ◽  
Online News ◽  
Stock Prediction ◽  
Stock Market Prediction

AbstractThe explosion of online information with the recent advent of digital technology in information processing, information storing, information sharing, natural language processing, and text mining techniques has enabled stock investors to uncover market movement and volatility from heterogeneous content. For example, a typical stock market investor reads the news, explores market sentiment, and analyzes technical details in order to make a sound decision prior to purchasing or selling a particular company’s stock. However, capturing a dynamic stock market trend is challenging owing to high fluctuation and the non-stationary nature of the stock market. Although existing studies have attempted to enhance stock prediction, few have provided a complete decision-support system for investors to retrieve real-time data from multiple sources and extract insightful information for sound decision-making. To address the above challenge, we propose a unified solution for data collection, analysis, and visualization in real-time stock market prediction to retrieve and process relevant financial data from news articles, social media, and company technical information. We aim to provide not only useful information for stock investors but also meaningful visualization that enables investors to effectively interpret storyline events affecting stock prices. Specifically, we utilize an ensemble stacking of diversified machine-learning-based estimators and innovative contextual feature engineering to predict the next day’s stock prices. Experiment results show that our proposed stock forecasting method outperforms a traditional baseline with an average mean absolute percentage error of 0.93. Our findings confirm that leveraging an ensemble scheme of machine learning methods with contextual information improves stock prediction performance. Finally, our study could be further extended to a wide variety of innovative financial applications that seek to incorporate external insight from contextual information such as large-scale online news articles and social media data.

scholarly journals Real-time clinician text feeds from electronic health records

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
James T. H. Teo ◽  
Vlad Dinu ◽  
William Bernal ◽  
Phil Davidson ◽  
Vitaliy Oliynyk ◽  
...  
Keyword(s):  
Social Media ◽  
Electronic Health Records ◽  
Real Time ◽  
Capacity Planning ◽  
Low Cost ◽  
Disease Outbreaks ◽  
Record System ◽  
Health Records ◽  
Keywords And Phrases ◽  
Electronic Health

AbstractAnalyses of search engine and social media feeds have been attempted for infectious disease outbreaks, but have been found to be susceptible to artefactual distortions from health scares or keyword spamming in social media or the public internet. We describe an approach using real-time aggregation of keywords and phrases of freetext from real-time clinician-generated documentation in electronic health records to produce a customisable real-time viral pneumonia signal providing up to 4 days warning for secondary care capacity planning. This low-cost approach is open-source, is locally customisable, is not dependent on any specific electronic health record system and can provide an ensemble of signals if deployed at multiple organisational scales.

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