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Social Informatics

Overview of attention for book
Cover of 'Social Informatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards Understanding User Participation in Stack Overflow Using Profile Data
  3. Altmetric Badge
    Chapter 2 Identifying Correlated Bots in Twitter
  4. Altmetric Badge
    Chapter 3 Predicting Online Extremism, Content Adopters, and Interaction Reciprocity
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    Chapter 4 Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights
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    Chapter 5 A Holistic Approach for Link Prediction in Multiplex Networks
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    Chapter 6 Twitter Session Analytics: Profiling Users’ Short-Term Behavioral Changes
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    Chapter 7 Senior Programmers: Characteristics of Elderly Users from Stack Overflow
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    Chapter 8 Predicting Retweet Behavior in Online Social Networks Based on Locally Available Information
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    Chapter 9 Social Influence: From Contagion to a Richer Causal Understanding
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    Chapter 10 Influence Maximization on Complex Networks with Intrinsic Nodal Activation
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    Chapter 11 Applicability of Sequence Analysis Methods in Analyzing Peer-Production Systems: A Case Study in Wikidata
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    Chapter 12 Network-Oriented Modeling and Its Conceptual Foundations
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    Chapter 13 Social Contribution Settings and Newcomer Retention in Humanitarian Crowd Mapping
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    Chapter 14 A Relevant Content Filtering Based Framework for Data Stream Summarization
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    Chapter 15 Relevancer: Finding and Labeling Relevant Information in Tweet Collections
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    Chapter 16 Analyzing Large-Scale Public Campaigns on Twitter
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    Chapter 17 Colombian Regulations for the Implementation of Cognitive Radio in Smart Grids
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    Chapter 18 Using Demographics in Predicting Election Results with Twitter
  20. Altmetric Badge
    Chapter 19 On the Influence of Social Bots in Online Protests
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    Chapter 20 What am I not Seeing? An Interactive Approach to Social Content Discovery in Microblogs
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    Chapter 21 Targeted Ads Experiment on Instagram
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    Chapter 22 Exploratory Analysis of Marketing and Non-marketing E-cigarette Themes on Twitter
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    Chapter 23 Obtaining Rephrased Microtask Questions from Crowds
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    Chapter 24 To Buy or Not to Buy? Understanding the Role of Personality Traits in Predicting Consumer Behaviors
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    Chapter 25 What Motivates People to Use Bitcoin?
  27. Altmetric Badge
    Chapter 26 Spiteful, One-Off, and Kind: Predicting Customer Feedback Behavior on Twitter
  28. Altmetric Badge
    Chapter 27 Validation of a Computational Model for Mood and Social Integration
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    Chapter 28 PPM: A Privacy Prediction Model for Online Social Networks
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    Chapter 29 Privacy Inference Analysis on Event-Based Social Networks
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    Chapter 30 Empirical Analysis of Social Support Provided via Social Media
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    Chapter 31 User Generated vs. Supported Contents: Which One Can Better Predict Basic Human Values?
  33. Altmetric Badge
    Chapter 32 An Application of Rule-Induction Based Method in Psychological Measurement for Application in HCI Research
  34. Altmetric Badge
    Chapter 33 A Language-Centric Study of Twitter Connectivity
  35. Altmetric Badge
    Chapter 34 Investigating Regional Prejudice in China Through the Lens of Weibo
Attention for Chapter 19: On the Influence of Social Bots in Online Protests
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 7,471)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

3 news outlets
1 blog
37 tweeters
1 Google+ user


1 Dimensions

Readers on

39 Mendeley
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Chapter title
On the Influence of Social Bots in Online Protests
Chapter number 19
Book title
Social Informatics
Published in
Lecture notes in computer science, October 2016
DOI 10.1007/978-3-319-47874-6_19
Book ISBNs
978-3-31-947873-9, 978-3-31-947874-6

Pablo Suárez-Serrato, Margaret E. Roberts, Clayton A. Davis, Filippo Menczer, Clayton Davis

Twitter Demographics

The data shown below were collected from the profiles of 37 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Netherlands 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 8 21%
Student > Master 6 15%
Student > Bachelor 6 15%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 3 8%
Readers by discipline Count As %
Computer Science 14 36%
Social Sciences 10 26%
Business, Management and Accounting 2 5%
Engineering 2 5%
Psychology 2 5%
Other 5 13%
Unknown 4 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 63. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2018.
All research outputs
of 14,684,855 outputs
Outputs from Lecture notes in computer science
of 7,471 outputs
Outputs of similar age
of 264,608 outputs
Outputs of similar age from Lecture notes in computer science
of 110 outputs
Altmetric has tracked 14,684,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,471 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.