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Emotional talk about robotic technologies on Reddit: Sentiment analysis of life domains, motives, and temporal themes
Savela, Nina
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Garcia, David
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Pellert, Max
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Oksanen, Atte
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savela-et-al-2021-emotional-talk-about-robotic-technologies-on-reddit-sentiment-analysis-of-life-domains-motives-and.pdf
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DOI:
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https://doi.org/10.1177/14614448211067259
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URL:
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https://journals.sagepub.com/doi/full/10.1177/1461...
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URN:
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urn:nbn:de:bsz:180-madoc-633252
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Document Type:
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Article
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Year of publication:
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2024
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The title of a journal, publication series:
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New Media & Society
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Volume:
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26
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Issue number:
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2
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Page range:
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757-781
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Place of publication:
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London [u.a.]
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Publishing house:
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Sage Publ.
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ISSN:
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1461-4448 , 1461-7315
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Publication language:
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English
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Institution:
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Business School > Data Science in the Economic and Social Sciences (Strohmaier, 2022-)
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Pre-existing license:
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 Creative Commons Attribution 4.0 International (CC BY 4.0)
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Subject:
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330 Economics
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Keywords (English):
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robotic technologies , social media , sentiment analysis
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Abstract:
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This study grounded on computational social sciences and social psychology investigated sentiment and life domains, motivational, and temporal themes in social media discussions about robotic technologies. We retrieved text comments from the Reddit social media platform in March 2019 based on the following six robotic technology concepts: robot (N = 3,433,554), AI (N = 2,821,614), automation (N = 879,092), bot (N = 21,559,939), intelligent agent (N = 15,119), and software agent (N = 18,324). The comments were processed using VADER and LIWC text analysis tools and analyzed further with logistic regression models. Compared to the other four concepts, robot and AI were used less often in positive context. Comments addressing themes of leisure, money, and future were associated with positive and home, power, and past with negative comments. The results show how the context and terminology affect the emotionality in robotic technology conversations.
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 | Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt. |
 | Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation. |
 Search Authors in
BASE:
Savela, Nina
;
Garcia, David
;
Pellert, Max
;
Oksanen, Atte
Google Scholar:
Savela, Nina
;
Garcia, David
;
Pellert, Max
;
Oksanen, Atte
ORCID:
Savela, Nina ; Garcia, David ; Pellert, Max  ORCID: 0000-0002-6557-7607 ; Oksanen, Atte
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