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Article . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
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Behavioral Economics of Chatbot Interactions: Implications for Decision-Making and User Behavior

descriptionPublicationkeyboard_double_arrow_right Article 08 Jun 2023Publisher:Zenodo
Authors: ANTONY IGNATIUS KOLLANNUR;

doi: 10.5281/zenodo.8017579 , 10.5281/zenodo.8017580

Behavioral Economics of Chatbot Interactions: Implications for Decision-Making and User Behavior

Abstract

The dataset includes Google Trends data for approximately 100 chatbot or AI-related search terms from 2005 to 2023 in multiple domains, listed with file title phrasings ‘GPTTRENDS’, and ‘CHATBOT’ . The files with the phrase 'ROW SUM' contain the sum of the trends data for the 21 apps. The results are labeled Analysis 1, Analysis 2, etc as per the labeling in the paper.

Keywords

Chatbot, Behavioral Economics, Market Demand, AI, Automation, Trends

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selected citations
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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).
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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!
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