Computing and building around tie strength in social media
Relationships make social media social. But, not all relationships are created equal. We have colleagues with whom we correspond intensely, but not deeply; we have childhood friends we consider close, even if we fell out of touch. Social media, however, treats everybody the same: someone is either a...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Hanover, Massachusetts
Now Publishers
2014
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| Series: | Foundations and trends in human-computer interaction
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| Subjects: | |
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| 003 | MY-KLNDU | ||
| 005 | 20241220022031.0 | ||
| 008 | 221104s2014 maua bi 000 0 eng d | ||
| 020 | |a 9781601987983 | ||
| 039 | 9 | |a 202211041143 |b VLOAD |c 201601141251 |d hasri |c 201601131550 |d hasri |y 201512081548 |z syarifuddin | |
| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a HM 742 |b .G553 2014 | ||
| 100 | 1 | |a Gilbert, Eric |e author | |
| 245 | 1 | 0 | |a Computing and building around tie strength in social media |c Eric Gilbert, Karrie Karahalios |
| 264 | 1 | |a Hanover, Massachusetts |b Now Publishers |c 2014 | |
| 264 | 4 | |a © 2014 | |
| 300 | |a x, 117 pages |b illustrations |c 24 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a Foundations and trends in human-computer interaction | |
| 504 | |a Includes bibliographical references | ||
| 505 | 0 | |a 1. Introduction 1.1 What is tie strength?--1.2 Scope --1.3 Existing approaches-- 1.4 Scenarios-- 1.5 Contributions-- 2. Literature review-- 2.1 Tie strength-- 2.2 Socially-rendered social media-- 3. Computing tie strength-- 3.1 Research questions-- 3.2 What does one number mean?-- 3.3 Method --3.4 Participants-- 3.5 Predictive variables-- 3.6 Dependent variables-- 3.7 Statistical methods-- 3.8 Results-- 3.9 When the model breaks down: high residuals-- 3.10 Asymmetric friendships-- 3.11 Confounding the medium-- 3.12 Discussion-- 3.13 Conclusion-- 4. Building around tie strength-- 4.1 Research questions-- 4.2 The collapsed context problem-- 4.3 Social media or temporal media?-- 4.4 Twitter and tie strength-- 4.5 We Meddle-- 4.6 We Meddle lists-- 4.7 We Meddle's client-- 4.8 Deployment-- 4.9 Does it generalize?-- 4.10 How users experienced We Meddle-- 5. Next steps & conclusions-- 5.1 Models and predictors of tie strength-- 5.2 Rendering social media socially-- 5.3 Conclusions | |
| 520 | |a Relationships make social media social. But, not all relationships are created equal. We have colleagues with whom we correspond intensely, but not deeply; we have childhood friends we consider close, even if we fell out of touch. Social media, however, treats everybody the same: someone is either a completely trusted friend or a total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic social science has investigated for decades under the name tie strength, a term for the strength of a relationship between two people. Despite many compelling findings along this line of research, social media does not incorporate tie strength or its lessons. Neither does most research on large-scale social phenomena | ||
| 592 | |a JI 4860 |b 05/01/2016 |c RM 399.50 |h Jendela Informasi | ||
| 650 | 0 | |a Online social networks | |
| 650 | 0 | |a Social media | |
| 650 | 0 | |a Relationship quality |x Data processing | |
| 700 | 1 | |a Karahalios, Karrie |e author | |
| 700 | 1 | |a Gilbert, Eric |e author | |
| 830 | 0 | |a Foundations and trends in human-computer interaction | |
| 999 | |a vtls000055730 |c 97783 |d 97783 | ||