Exploring Text Virality in Social Networks. Guerini, M., Strapparava, C., & Özbal, G. In ICWSM, 2011. 00000![Exploring Text Virality in Social Networks. [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex This paper aims to shed some light on the concept of virality - especially in social networks - and to provide new insights on its structure. We argue that: (a) virality is a phenomenon strictly connected to the nature of the content being spread, rather than to the influencers who spread it (b) virality is a phenomenon with many facets, i.e. under this generic term several different effects of persuasive communication are comprised and they only partially overlap. To give ground to our claims, we provide initial experiments in a machine learning framework to show how various aspects of virality can be independently predicted according to content features.
@inproceedings{guerini_exploring_2011,
title = {Exploring {Text} {Virality} in {Social} {Networks}.},
url = {http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/viewFile/2820/3235-accessdate=27},
abstract = {This paper aims to shed some light on the concept of virality - especially in social networks - and to provide new insights on its structure. We argue that: (a) virality is a phenomenon strictly connected to the nature of the content being
spread, rather than to the influencers who spread it (b) virality is a phenomenon with many facets, i.e. under this generic
term several different effects of persuasive communication
are comprised and they only partially overlap. To give ground
to our claims, we provide initial experiments in a machine
learning framework to show how various aspects of virality
can be independently predicted according to content features.},
urldate = {2015-10-31TZ},
booktitle = {{ICWSM}},
author = {Guerini, Marco and Strapparava, Carlo and Özbal, Gözde},
year = {2011},
note = {00000},
keywords = {Keep, User Behavior, engagement}
}
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