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Social Informatics

Overview of attention for book
Social Informatics
Springer, Cham

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 How Well Do Doodle Polls Do?
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    Chapter 2 Bring on Board New Enthusiasts! A Case Study of Impact of Wikipedia Art + Feminism Edit-A-Thon Events on Newcomers
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    Chapter 3 The Social Dynamics of Language Change in Online Networks
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    Chapter 4 On URL Changes and Handovers in Social Media
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    Chapter 5 Comment-Profiler: Detecting Trends and Parasitic Behaviors in Online Comments
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    Chapter 6 On Profiling Bots in Social Media
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    Chapter 7 A Diffusion Model for Maximizing Influence Spread in Large Networks
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    Chapter 8 Lightweight Interactions for Reciprocal Cooperation in a Social Network Game
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    Chapter 9 Continuous Recipe Selection Model Based on Cooking History
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    Chapter 10 Examining Community Policing on Twitter: Precinct Use and Community Response
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    Chapter 11 The Dynamics of Group Risk Perception in the US After Paris Attacks
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    Chapter 12 Determining the Veracity of Rumours on Twitter
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    Chapter 13 PicHunt: Social Media Image Retrieval for Improved Law Enforcement
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    Chapter 14 TwitterNews+: A Framework for Real Time Event Detection from the Twitter Data Stream
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    Chapter 15 Uncovering Topic Dynamics of Social Media and News: The Case of Ferguson
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    Chapter 16 Identifying Partisan Slant in News Articles and Twitter During Political Crises
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    Chapter 17 Predicting Poll Trends Using Twitter and Multivariate Time-Series Classification
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    Chapter 18 Inferring Population Preferences via Mixtures of Spatial Voting Models
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    Chapter 19 Contrasting Public Opinion Dynamics and Emotional Response During Crisis
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    Chapter 20 Social Politics: Agenda Setting and Political Communication on Social Media
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    Chapter 21 Preference-Aware Successive POI Recommendation with Spatial and Temporal Influence
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    Chapter 22 Event Participation Recommendation in Event-Based Social Networks
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    Chapter 23 An Effective Approach to Finding a Context Path in Review Texts Using Pathfinder Scaling
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    Chapter 24 How to Find Accessible Free Wi-Fi at Tourist Spots in Japan
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    Chapter 25 Mobile Communication Signatures of Unemployment
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    Chapter 26 Identifying Stereotypes in the Online Perception of Physical Attractiveness
  28. Altmetric Badge
    Chapter 27 Analysing RateMyProfessors Evaluations Across Institutions, Disciplines, and Cultures: The Tell-Tale Signs of a Good Professor
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    Chapter 28 Detecting Coping Style from Twitter
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    Chapter 29 User Privacy Concerns with Common Data Used in Recommender Systems
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    Chapter 30 How a User’s Personality Influences Content Engagement in Social Media
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    Chapter 31 Semi-supervised Knowledge Extraction for Detection of Drugs and Their Effects
  33. Altmetric Badge
    Chapter 32 Using Social Media to Measure Student Wellbeing: A Large-Scale Study of Emotional Response in Academic Discourse
  34. Altmetric Badge
    Chapter 33 EmojiNet: Building a Machine Readable Sense Inventory for Emoji
Attention for Chapter 12: Determining the Veracity of Rumours on Twitter
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
24 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
72 Mendeley
Summary News Twitter Google+ Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Determining the Veracity of Rumours on Twitter
Chapter number 12
Book title
Social Informatics
Published in
Lecture notes in computer science, October 2016
DOI 10.1007/978-3-319-47880-7_12
Book ISBNs
978-3-31-947879-1, 978-3-31-947880-7
Authors

Georgios Giasemidis, Colin Singleton, Ioannis Agrafiotis, Jason R. C. Nurse, Alan Pilgrim, Chris Willis, D. V. Greetham, Danica Vukadinovic Greetham, Giasemidis, Georgios, Singleton, Colin, Agrafiotis, Ioannis, Nurse, Jason R. C., Pilgrim, Alan, Willis, Chris, Greetham, D. V.

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 24 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Student > Master 14 19%
Student > Doctoral Student 6 8%
Student > Bachelor 6 8%
Researcher 4 6%
Other 11 15%
Unknown 15 21%
Readers by discipline Count As %
Computer Science 38 53%
Engineering 5 7%
Social Sciences 3 4%
Decision Sciences 2 3%
Linguistics 1 1%
Other 5 7%
Unknown 18 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 12 March 2020.
All research outputs
#1,315,080
of 23,322,258 outputs
Outputs from Lecture notes in computer science
#199
of 8,159 outputs
Outputs of similar age
#25,733
of 316,571 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 411 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% 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 316,571 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 91% of its contemporaries.
We're also able to compare this research output to 411 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 97% of its contemporaries.

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