Cited by 6Digital Games and MediaNarrative Theory and AnalysisArtificial Intelligence in Games

Emergent Narrative and Reparative Play

Grinblat, Jason, Manning, Cat, Kreminski, Max·2021·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-030-92300-6_19

Cites

11 of 11 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Eco, U.: The Open Work. Harvard University Press, Cambridge (1989)
  2. Ruberg, B., Shaw, A.: Queer Game Studies. U of Minnesota Press, Minneapolis (2017)
  3. Ryan, J.: Curating Simulated Storyworlds. Ph.D. thesis, University of California, Santa Cruz (2018)

Cited by

Authors
Grinblat, J., Manning, C., & Kreminski, M.
Affiliations
University of California, Santa Cruz (US)
Corresponding author
Kreminski, Max
Venue
Lecture Notes in Computer Science
Published
2021
Pages
208-216
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W4206620517
Cited by
6
References
11
Citations by year
2024: 2 · 2023: 2 · 2022: 2
FWCI
4.15
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Digital Games and Media
  • Social Sciences › Arts and Humanities › Literature and Literary Theory › Narrative Theory and Analysis
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence in Games
Keywords
Eve Sedgwick, reparative reading, paranoid reading, interactive digital narratives, emergent narrative, play, meaning-making, multiplicity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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