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Social Computing and Social Media. Applications and Analytics

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Cover of 'Social Computing and Social Media. Applications and Analytics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Strategies for Communicating Reputation Mechanisms in Crowdsourcing-Based Applications
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    Chapter 2 Collaboration Increase Through Monitoring and Evaluation Mechanisms of the Collaborative Learning Process
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    Chapter 3 ADMemento: A Prototype of Activity Reminder and Assessment Tools for Patients with Alzheimer’s Disease
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    Chapter 4 From GreedEx to GreedEx Tab v2.0: Tool for Learning Greedy Algorithms on iPad Following CIAM Mobile Methodology
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    Chapter 5 Memorializing the Deceased Using Virtual Worlds: A Preliminary Study
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    Chapter 6 Social Media and Elderly People: Research Trends
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    Chapter 7 WhatsApp
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    Chapter 8 An Analysis of Online Discussion Platforms for Academic Deliberation Support
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    Chapter 9 Design of Digital Literacy Environments Based-On Interactive Learning Services
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    Chapter 10 Building up a Verified Page on Facebook Using Information Transparency Guidelines
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    Chapter 11 An MDA Approach to Develop Language-Learning Activities
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    Chapter 12 Designing an Electronic Hand Glove for Teaching Vowels to Deaf Children
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    Chapter 13 Chat-Based Application to Support CSCL Activities
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    Chapter 14 Toward a Supporting System of Communication Skill: The Influence of Functional Roles of Participants in Group Discussion
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    Chapter 15 Sentiment Analysis on Arabic Tweets: Challenges to Dissecting the Language
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    Chapter 16 Analyzing User Experience Through Web Opinion Mining
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    Chapter 17 A Review on Corpus Annotation for Arabic Sentiment Analysis
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    Chapter 18 AraSenTi-Lexicon: A Different Approach
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    Chapter 19 Investigating the Relationship Between Trust and Sentiment Agreement in Arab Twitter Users
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    Chapter 20 Investigating the Polarity of User Postings in a Social System
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    Chapter 21 Intent Classification of Social Media Texts with Machine Learning for Customer Service Improvement
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    Chapter 22 Sentiment Analysis for Micro-blogging Platforms in Arabic
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    Chapter 23 Automatic Tweets Classification Under an Intelligent Agents Framework
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    Chapter 24 User Experiences Around Sentiment Analyses, Facilitating Workplace Learning
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    Chapter 25 Visual Exploration of Urban Data: A Study of Riyadh Taxi Data
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    Chapter 26 Understanding Gendered Spaces Using Social Media Data
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    Chapter 27 Visual Exploration Patterns in Information Visualizations: Insights from Eye Tracking
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    Chapter 28 The Rise of Hackathon-Led Innovation in the MENA Region: Visualizing Spatial and Temporal Dynamics of Time-Bounded Events
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    Chapter 29 How Visual Analytics Unlock Insights into Traffic Incidents in Urban Areas
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    Chapter 30 SparQs: Visual Analytics for Sparking Creativity in Social Media Exploration
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    Chapter 31 Social Networks Serendipity for Educational Learning by Surprise from Big and Small Data Analysis
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    Chapter 32 What People Do on Yik Yak: Analyzing Anonymous Microblogging User Behaviors
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    Chapter 33 BLE-Based Children’s Social Behavior Analysis System for Crime Prevention
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    Chapter 34 Unified Structured Framework for mHealth Analytics: Building an Open and Collaborative Community
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    Chapter 35 Discovering Subway Design Opportunities Using Social Network Data: The Image-Need-Design Opportunity Model
Attention for Chapter 32: What People Do on Yik Yak: Analyzing Anonymous Microblogging User Behaviors
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Chapter title
What People Do on Yik Yak: Analyzing Anonymous Microblogging User Behaviors
Chapter number 32
Book title
Social Computing and Social Media. Applications and Analytics
Published in
Lecture notes in computer science, May 2017
DOI 10.1007/978-3-319-58562-8_32
Book ISBNs
978-3-31-958561-1, 978-3-31-958562-8
Authors

Joon-Suk Lee, Seungwon Yang, Amanda L. Munson, Lusene Donzo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%