Kuvaus
without a seemingly coherent pattern. Existing literature shows
these discussions can reach a very high level, but, notably, they
prevail to varying degrees. This paper investigates the anatomy of
viral social media events using a dataset of 960 viral social media
discussion topics that have been identified by an algorithm from
a variety of social media sources over two years’ time. A negative
binomial regression shows that the average daily amount and the
relative change in the daily amount of social media platforms
at which the event has been discussed has a positive effect on
the duration of the event. Average or relative amount of posts
or authors has no or very little effect on event duration. The
results suggest that viral social media events last longer when
people using different social media platforms get exposed to them.
This finding contributes to the literature on social media events,
virality, and information diffusion.
| Alkuperäiskieli | englanti |
|---|---|
| Otsikko | Proceedings of the 51st Hawaii International Conference on System Sciences |
| Sivumäärä | 10 |
| Kustantaja | University of Hawai'i at Manoa |
| Julkaisupäivä | 2018 |
| Sivut | 2173-2182 |
| Artikkeli no | 0273 |
| ISBN (elektroninen) | 978-0-9981331-1-9 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 2018 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisuussa |
| Tapahtuma | Hawaii International Conference on System Sciences - Waikoloa Village, Yhdysvallat (USA) Kesto: 3 tammikuuta 2018 → 6 tammikuuta 2018 Konferenssinumero: 51 |
Lisätietoja
Volume:
Proceeding volume:
Tieteenalat
- 113 Tietojenkäsittely- ja informaatiotieteet
- 518 Media- ja viestintätieteet
Lainaa tätä
}
Anatomy of Viral Social Media Events. / Pöyry, Essi Ilona; Laaksonen, Salla-Maaria; Kekkonen, Arto Ilmari; Pääkkönen, Juho Ilmari.
Proceedings of the 51st Hawaii International Conference on System Sciences. University of Hawai'i at Manoa, 2018. s. 2173-2182 0273.Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
TY - GEN
T1 - Anatomy of Viral Social Media Events
AU - Pöyry, Essi Ilona
AU - Laaksonen, Salla-Maaria
AU - Kekkonen, Arto Ilmari
AU - Pääkkönen, Juho Ilmari
N1 - Volume: Proceeding volume:
PY - 2018
Y1 - 2018
N2 - Discussion topics go sometimes viral in social mediawithout a seemingly coherent pattern. Existing literature showsthese discussions can reach a very high level, but, notably, theyprevail to varying degrees. This paper investigates the anatomy ofviral social media events using a dataset of 960 viral social mediadiscussion topics that have been identified by an algorithm froma variety of social media sources over two years’ time. A negativebinomial regression shows that the average daily amount and therelative change in the daily amount of social media platformsat which the event has been discussed has a positive effect onthe duration of the event. Average or relative amount of postsor authors has no or very little effect on event duration. Theresults suggest that viral social media events last longer whenpeople using different social media platforms get exposed to them.This finding contributes to the literature on social media events,virality, and information diffusion.
AB - Discussion topics go sometimes viral in social mediawithout a seemingly coherent pattern. Existing literature showsthese discussions can reach a very high level, but, notably, theyprevail to varying degrees. This paper investigates the anatomy ofviral social media events using a dataset of 960 viral social mediadiscussion topics that have been identified by an algorithm froma variety of social media sources over two years’ time. A negativebinomial regression shows that the average daily amount and therelative change in the daily amount of social media platformsat which the event has been discussed has a positive effect onthe duration of the event. Average or relative amount of postsor authors has no or very little effect on event duration. Theresults suggest that viral social media events last longer whenpeople using different social media platforms get exposed to them.This finding contributes to the literature on social media events,virality, and information diffusion.
KW - 113 Computer and information sciences
KW - 518 Media and communications
U2 - 10.24251/hicss.2018.272
DO - 10.24251/hicss.2018.272
M3 - Conference contribution
SP - 2173
EP - 2182
BT - Proceedings of the 51st Hawaii International Conference on System Sciences
PB - University of Hawai'i at Manoa
ER -