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Computing and Building around Tie Strength in Social Media (Paperback)
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Computing and Building around Tie Strength in Social Media (Paperback)
Series: Foundations and Trends (R) in Human-Computer Interaction
Expected to ship within 10 - 15 working days
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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. Simply put, we do not
understand a basic property of relationships expressed online.
Computing and Building around Tie Strength in Social Media takes a
wide view of the problem, merging the theories behind tie strength
with the data from social media. It shows how to reconstruct tie
strength from digital traces in online social media, and how to
apply it as a tool in design and analysis. Specifically, this
monograph makes two core contributions. First, it offers a rich,
high-accuracy and general way to reconstruct tie strength from
digital traces; traces like recency and the emotional content of
messages. For example, the model can split users into strong and
weak ties with nearly 89% accuracy. It outs forward the argument
that this offers us a chance to rethink many of social media's most
fundamental design elements. Second, it showcases an example of how
we can redesign social media using tie strength: a Twitter
application open to anyone on the internet which puts tie strength
at the heart of its design. Through this application, called We
Meddle, it is shown that the tie strength model generalizes to a
new online community, and that it can solve real people's practical
problems with social media. In a sense, Computing and Building
around Tie Strength in Social Media links the online to the offline
as it connects the traces we leave in social media to how we feel
about relationships in real life.
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