The DOI matches its Crossref record.
Humanity’s Evolving Conversations: AI as Confidant, Coach, and Companion
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Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These people are not fooled by the technology, nor are they 'duped' into false emotional connections as some suggest, at least no more than pet owners are duped into emotional attachments with their pets and incorporating pets into their notion of family.
“These people are not fooled by the technology, nor are they 'duped' into false emotional connections as some suggest (eg.Wiederhold, 2024), at least no more than pet owners are duped into emotional attachments with their pets and incorporating pets into their notion of family.”
From Artificial intelligence and unconditional love: the rise of generative AI as an alternative form of mental health support (2026) · cites this paper as Wiederhold, 2024
Critical and phenomenological arguments focus on the lack of genuine empathy, understanding, emotional depth, recognition or reciprocity in human-AI relationships.
“Critical and phenomenological arguments also focus on the lack of genuine empathy, understanding, emotional depth, recognition or reciprocity in human-AI relationships (Wiederhold, 2024;Li & Zhang, 2024;Guo & Liu, 2025;Symonds & Sanwoolu, 2025;Zhang et al., 2025).”
From Artificial intelligence and unconditional love: the rise of generative AI as an alternative form of mental health support (2026) · cites this paper as Wiederhold, 2024
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 9
- Turkle S. Alone Together: Why We Expect More from Technology and Less from Each Other. Basic Books: United States; 2017.
- 10.1177/0890117119856551 · DOI
- 10.1371/journal.pone.0229087 · DOI
- 10.1111/j.1468-2958.2010.01397.x · DOI
- 10.1093/hcr/hqac008 · DOI · Paper page
- 10.3390/socsci10110426 · DOI
- Wallach W Allen C. Moral Machines: Teaching Robots Right from Wrong. Oxford University Press. 2009. Available from: https://academic.oup.com/book/10768 [Last accessed: June13 2024].
- 10.1177/1461444819858691 · DOI
- 10.1080/18387357.2018.1523680 · DOI
Cited by
Sorted by citations
Miller, V., Hill, M. J., & Moreira, T. (2026) · Communication and Change · doi:10.1007/s44382-026-00036-1 · Cited by 2
Metadata
- Authors
- Wiederhold, B. K.
- Venue
- Cyberpsychology, Behavior, and Social Networking
- Publisher
- SAGE Publications
- Published
- 2024-11-01
- Volume
- 27
- Issue
- 11
- Pages
- 750-752
- ISSN
- 2152-2715
- 2152-2723
- Cited by
- 6
- References
- 0
- Language
- en
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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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