Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Exploring the Information Cues of Danmaku Comments to Stimulate Users' Affective Generation in Reaction Videos
Nanjing University of Science & Technology, China.
Nanjing University of Science & Technology, China.
City University of Hong Kong, Hong Kong.
Nanjing University, China.
Visa övriga samt affilieringar
Antal upphovsmän: 52023 (Engelska)Ingår i: Proceedings of the Association for Information Science and Technology, E-ISSN 2373-9231, Vol. 60, nr 1, s. 723-727Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Reaction video, a new form of online video that records users' instant reactions to a particular thing, has emerged on social media in recent years. Its unique content composition and hedonic and emotional characteristics make the information cues that influence the affective generation in danmaku comments quite different from those in traditional videos. To explore the information cues of danmaku comments to stimulate users’ affective generation in reaction videos, we conduct thematic coding using the content analysis method by selecting the danmaku resources, video content, and reactors’ responses from 11 popular videos in different categories as samples to identify information cues that influence user affects in danmaku comments. The preliminary findings show that there are three main types of information cues in the reaction videos: the content of the original video, reactors’ reaction and danmaku comments, which could trigger danmaku users’ affect in reaction videos from the perspective of orientation type, parasocial interaction, and peer influence, respectively.

Ort, förlag, år, upplaga, sidor
2023. Vol. 60, nr 1, s. 723-727
Nationell ämneskategori
Människa-datorinteraktion (interaktionsdesign)
Forskningsämne
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-225348DOI: 10.1002/pra2.847Scopus ID: 2-s2.0-85174588697OAI: oai:DiVA.org:su-225348DiVA, id: diva2:1827948
Tillgänglig från: 2024-01-15 Skapad: 2024-01-15 Senast uppdaterad: 2024-01-16Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Hansen, Preben

Sök vidare i DiVA

Av författaren/redaktören
Hansen, Preben
Av organisationen
Institutionen för data- och systemvetenskap
I samma tidskrift
Proceedings of the Association for Information Science and Technology
Människa-datorinteraktion (interaktionsdesign)

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 19 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf