CoChat
Sign Up
Cited by 15

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Social Media Use and Attitudes toward AI: The Mediating Roles of Perceived AI Fairness and Threat

Li, Wenbo, Zheng, Xia·2024·Human Behavior and Emerging Technologies
DOI 10.1155/2024/3448083
Open this paper in CoChat — free account

Abstract

This study investigates the association between social media use and attitudes toward AI technologies. A nationally representative two-wave longitudinal survey (N=5110) examined the mediating roles of perceived AI fairness and threat concerning three AI technologies: algorithms, facial recognition technology, and driverless passenger vehicles. Hypotheses were derived from media effect theories and the heuristic and systematic model of human-AI adoption. The results showed that social media use predicted more positive attitudes toward the three AI technologies indirectly through increased perceived AI fairness and reduced perceived AI threat. The findings contribute to our understanding of social media effects on attitudes toward AI and the underlying psychological mechanisms, providing valuable theoretical insights and practical implications.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1155/2024/3448083

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Hypothesized serial mediation models predicting the associations between social media use and attitudes toward (a) algorithms, (b) facial recognition technologies, and (c) driverless passenger vehicles. ∗ p < 05 ; ∗∗ p < 01 ; ∗∗∗ p < 001 .
Figure 1 Hypothesized serial mediation models predicting the associations between social media use and attitudes toward (a) algorithms, (b) facial recognition technologies, and (c) driverless passenger vehicles. ∗ p < 05 ; ∗∗ p < 01 ; ∗∗∗ p < 001 .CC-BY · From the PDF

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 15 references

Research works printed but not linked: 52

  1. 10.1177/00936502231191832 · DOI
  2. K. Schwab, 2017, The fourth industrial revolution (first U.S. edition)
  3. IBM, 2022, Global Data from IBM Shows Steady Ai Adoption as Organizations Look to Address Skills Shortages, Automate Processes and Encourage Sustainable Operations
  4. 10.1016/j.chbr.2020.100014 · DOI · Paper page
  5. 10.1371/journal.pone.0257732 · DOI
  6. 10.1093/scipol/scac056 · DOI
  7. 10.1016/S2589-7500(21)00132-1 · DOI · Paper page
  8. 10.1177/09636625221113957 · DOI
  9. 10.3389/fpubh.2022.856571 · DOI
  10. 10.1111/j.1460-2466.1976.tb01397.x · DOI · Paper page
  11. 10.1177/14614448231180257 · DOI
  12. 10.1080/19312458.2012.732626 · DOI
  13. 10.1007/s00146-023-01854-3 · DOI
  14. 10.1080/08838151.2020.1843357 · DOI
  15. 10.1201/b23083 · DOI
  16. 10.1109/ICDM51629.2021.00100 · DOI
  17. 10.1108/JBS-12-2018-0204 · DOI · Paper page
  18. N. E. Sanders, 2023, Opinion|How Chatgpt Hijacks Democracy
  19. 10.1016/j.jbusres.2020.12.012 · DOI
  20. 10.1080/0144929X.2021.1884288 · DOI
  21. 10.1007/s12369-020-00734-w · DOI
  22. 10.1016/j.tele.2021.101694 · DOI
  23. 10.1016/j.giq.2023.101803 · DOI
  24. 10.1016/j.chb.2021.106894 · DOI
  25. 10.1177/14614448221108112 · DOI
  26. 10.1109/MSP.2018.2701166 · DOI · Paper page
  27. 10.1016/j.jbef.2020.100352 · DOI
  28. 10.1080/1369118X.2016.1154086 · DOI
  29. 10.1177/01634437221119021 · DOI · Paper page
  30. 10.1093/ijpor/edl003 · DOI
  31. 10.1007/978-3-030-87626-5_19 · DOI
  32. 10.1038/s41558-022-01377-7 · DOI · Paper page
  33. 10.1007/s12369-020-00640-1 · DOI
  34. 10.1007/978-3-030-81907-1_3 · DOI
  35. 10.1177/0894439317698637 · DOI · Paper page
  36. 10.1016/j.tele.2015.08.007 · DOI
  37. 10.1017/s0140525x1300263x · DOI
  38. 10.1037/0022-3514.76.5.839 · DOI · Paper page
  39. 10.1038/s41562-019-0670-y · DOI
  40. 10.1146/annurev-psych-122414-033608 · DOI · Paper page
  41. 10.1145/3375959.3375968 · DOI
  42. 10.1177/10946705221103538 · DOI
  43. 10.1108/JBS-11-2021-0182 · DOI
  44. Pew Research Center, .., The American Trends Panel
  45. 10.1177/0963662520917339 · DOI
  46. 10.1016/j.sleh.2022.01.001 · DOI
  47. 10.1016/j.ssmph.2020.100717 · DOI
  48. A. F. Hayes, 2017, Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach
  49. 10.1016/j.ausmj.2017.02.001 · DOI
  50. 10.1111/j.1745-9125.1998.tb01268.x · DOI
  51. 10.1007/s00146-021-01148-6 · DOI
  52. 10.1177/10755470241232352 · DOI

Cited by

Sorted by citations

See all 15

Metadata

Authors
Li, W., & Zheng, X.
Venue
Human Behavior and Emerging Technologies
Publisher
Wiley
Published
2024-04-02
Volume
2024
Pages
1-11
ISSN
2578-1863
DOI
10.1155/2024/3448083
Cited by
15
References
15
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (unspecified)

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Social Media Use and Attitudes toward AI: The Mediating Roles of Perceived AI Fairness and Threat. https://app.cochat.ai/papers/10.1155/2024/3448083
The paper
Li, W., & Zheng, X. (2024). Social Media Use and Attitudes toward AI: The Mediating Roles of Perceived AI Fairness and Threat. Human Behavior and Emerging Technologies. https://doi.org/10.1155/2024/3448083