R0024/2026-03-25/Q003/SRC03
Tech Policy Press review article synthesizing three peer-reviewed studies on AI chatbot addiction
Source
| Field |
Value |
| Title |
What Research Says About AI Chatbots and Addiction |
| Publisher |
Tech Policy Press |
| Author(s) |
Prithvi Iyer |
| Date |
September 24, 2025 |
| URL |
https://www.techpolicy.press/ai-chatbots-and-addiction-what-does-the-research-say/ |
| Type |
Review article / Policy journalism |
Summary
| Dimension |
Rating |
| Reliability |
Medium-High |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
N/A |
| Bias: Selective reporting |
Some concerns |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Tech Policy Press is a credible policy journalism outlet. Author is communications and research manager at the Penn Center on Media, Technology and Democracy. Article synthesizes three peer-reviewed studies. |
| Relevance |
Directly synthesizes research on AI chatbot addiction mechanisms, dopamine loops, and comparison to social media. |
| Bias flags |
Some selective reporting concerns — article may emphasize alarming findings over null results. However, all three cited studies are real and peer-reviewed. |
| Evidence ID |
Summary |
| SRC03-E01 |
Synthesis of three peer-reviewed studies on AI chatbot addiction mechanisms and dopamine parallels to social media |