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Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Memory practices in the Matrix: investigating the use of ChatGPT to analyze and produce speculative SNS conversations on Lithuanian contested heritage

Authors: Dallas, Costis; Laužikas, Rimvydas;

Memory practices in the Matrix: investigating the use of ChatGPT to analyze and produce speculative SNS conversations on Lithuanian contested heritage

Abstract

Using one episode in the evolving story of the Eastern European “memory wars”, grassroots communication on SNS discussing the removal of Petras Cvirka’s monument by Vilnius City Council, we experimented combining the results of our evidence-based inquiry with the capabilities of ChatGPT to analyze actual SNS data, and simulate the generation of a speculative SNS conversation focusing on the Cvirka monument removal. This conference paper presents the methodology and preliminary results of this investigation, and discusses broader epistemological and ethical implications on the use of conversational generative AI in communication research.

This presentation reports on research conducted as part of "Connective digital memory in borderlands: a mixed-methods study of cultural identity, heritage communication and digital curation on social networks". The Connective project is funded by the European Social Fund under grant agreement 09.3.3-LMT-K-712-17-0027 with the Research Council of Lithuania (LMTLT).

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Keywords

social media, digital memory, generative Artificial Intelligence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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