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  • New
  • Research Article
  • 10.1016/j.chb.2026.108954
Offline friendship conflict and adolescent Internet addiction: Indirect associations via self-esteem and the moderating role of clique-level norms
  • Jul 1, 2026
  • Computers in Human Behavior
  • Yanli Hou + 3 more

  • New
  • Research Article
  • Cite Count Icon 2
  • 10.1016/j.chb.2026.108929
Blissful (A)Ignorance: Despite the widespread adoption of AI in communication, people do not suspect AI use in realistic contexts
  • Jul 1, 2026
  • Computers in Human Behavior
  • Jiaqi Zhu + 1 more

  • New
  • Research Article
  • 10.1016/j.chb.2026.108923
Brain responses to deepfakes and real videos of emotional facial expressions reveal detection without awareness
  • Jul 1, 2026
  • Computers in Human Behavior
  • Casey Becker + 3 more

  • New
  • Research Article
  • 10.1016/j.chb.2026.108936
Mental health during war: Social media use and protective factors among adolescents and young adults
  • Jul 1, 2026
  • Computers in Human Behavior
  • Yael Malin + 2 more

  • New
  • Research Article
  • 10.1016/j.chb.2026.108955
AI chatbots in mental Health: How emojis, prompt type, and interactivity shape user perceptions in the United States and China
  • Jul 1, 2026
  • Computers in Human Behavior
  • Jihye Lee + 3 more

  • Research Article
  • 10.1016/j.chb.2026.108947
Esports and VR: how does it change EEG spectral dynamics of attention shift and maintenance?
  • Jun 1, 2026
  • Computers in Human Behavior
  • Alena Ovakimian + 1 more

  • Open Access Icon
  • Research Article
  • 10.1016/j.chb.2026.108934
Offended by the algorithm: The hidden interpersonal costs of clients seeking AI second opinion
  • Jun 1, 2026
  • Computers in Human Behavior
  • Gerri Spassova + 1 more

Rapid advances in artificial intelligence have enabled the rise of AI-enabled advisory tools. While these tools benefit decision-makers, they also introduce new competitive pressures for human advisors whose expertise they may complement or replace. Prior research shows that advisors react negatively when clients approach other advisors, feeling offended and becoming less willing to maintain the relationship. Yet little is known about how advisors respond when the other advisor is an AI system rather than a human. Across four studies, we examine how professionals perceive and react to clients who consult AI-enabled (vs. other human) advisors. We find that learning a client has also sought AI (vs. other human) advice decreases focal advisors’ motivation to work with that client. This effect persists even when clients use AI only for background information or as a complementary resource. We propose that advisors view AI as substantially inferior to themselves; thus, being placed in the same category as an AI system feels insulting and signals disrespect, undermining advisors’ willingness to engage. We also show that consulting AI may change perceptions of the client, making them appear less competent and warm. Our work contributes to emerging research on the advisor perspective and extends the literature on human responses to AI by shifting attention from AI users to service providers. Practically, the findings suggest that clients’ seemingly innocuous use of AI tools may unintentionally erode their relationships with human advisors. • Seeking second opinion from AI erodes advisors’ motivation to work with the client. • The effect persists when AI is consulted for initial or complementary information. • Feeling offended, due to being equated with AI, mediates the effect. • Clients who consult AI may be seen as less competent and warm.

  • Research Article
  • 10.1016/j.chb.2026.108949
AI byline, human content: Exploring how source and message framing shape news perception
  • Jun 1, 2026
  • Computers in Human Behavior
  • Jino Chung + 1 more

  • Research Article
  • 10.1016/j.chb.2026.108927
User cognitive fit in human-AI interaction: Exploring the link between input representation and generative output complexity
  • Jun 1, 2026
  • Computers in Human Behavior
  • Hechang Cai + 1 more

  • Research Article
  • 10.1016/j.chb.2026.108930
Rethinking targeting strategies for SMEs: How artificial intelligence and audience breadth drive advertising performance
  • Jun 1, 2026
  • Computers in Human Behavior
  • Minjeong Ham + 1 more