How Does False and Inaccurate Information Spread on the Web?
- The more prevalent false information is, the more likely people are to believe it.
- False information may align with people’s personal identities.
- When false information is shared in a dramatic manor, it can evoke emotional reactions from viewers.
- If the general public is not well-informed on specific topics, they can not easily recognize that the information they are consuming is inaccurate.
- Misinformation draws people’s attention.
- Sharing information quickly to a large audience is easier than it ever has been.
Read this article written by the American Psychological Association to learn more about how misinformation spreads: How and why does misinformation spread?
Artificial Intelligence
Artificial Intelligence (AI) typically gives biased answers because it gathers information from prior biased sources. AI is not aware of its biases, so it gives answers as if it is the whole truth. Similarly, AI does not give thorough answers upon receiving a prompt. It is more likely to give an answer based strictly on the question it is asked, rather than allowing for a longer or more in-depth description. In addition, AI-generated images and videos have gotten exponentially harder to decipher from real content. There has been so much misinformation spread on the web due to fake pictures that people believe to be real. On a similar note, there are no laws to protect civilians from deepfake images that may be created of them.
Question: How does positive reinforcement work?
Response: Positive reinforcement works by adding a rewarding consequence after a behavior, which makes that behavior more likely to happen again.
Example: A child puts away their toys and receives praise or a sticker. Because the reward follows the behavior, the child is more likely to put away toys in the future.
It works best when the reward is:
- Given soon after the behavior
- Clearly connected to the behavior
- Meaningful to the person
- Used consistently at first
Positive reinforcement is different from bribery because it intentionally strengthens a desired behavior, often according to a planned system.
Total tokens used: 3,579
Question: How does positive reinforcement work?
Response: Positive reinforcement works by adding a rewarding consequence after a behavior, which increases the likelihood that behavior will be repeated.
The process:
- Behavior occurs
- Reward is added immediately after
- The behavior becomes more likely to happen again
Example: A student completes homework → receives praise → is more motivated to complete homework next time.
Key factors for effectiveness:
Consistency: reward the behavior each time initially, then gradually less often
Timing: reward should follow the behavior quickly
Relevance: the reward must be something the person actually values
Total tokens used: 5,580
Question: How does positive reinforcement work?
Response: Positive reinforcement works by adding a desirable consequence immediately after a behavior, which strengthens the likelihood of that behavior being repeated in the future.
How It Works:
- Behavior Occurs (e.g., a child cleans their room).
- Reward Is Added (e.g., praise, a sticker, or extra playtime).
- Behavior Is Reinforced (the child is more likely to clean their room again).
Key Principles:
- Immediacy: The reward should follow the behavior as soon as possible.
- Consistency: Reward the behavior every time at first, then gradually reduce frequency.
- Relevance: The reward must be meaningful to the individual.
- Clarity: The connection between the behavior and the reward should be obvious.
This principle is widely used in parenting, education, workplace motivation, and even animal training.
Total tokens used: 7,113
Sources
These are the sources GPT-5.6 Luna gave me when I explicitly asked for them:
- https://dictionary.apa.org/positive-reinforcement
- https://www.simplypsychology.org/positive-reinforcement.html
These seem to be two trustworthy sources. The first source is a simple word definition provided by the American Psychological Association, which is a highly distinguished and reputable organization. The second source is from SimplyPsychology, which is a popular psychology website that posts entries that are supported by research in the field.
This is what Claude Haiku 4.5 said when I explicitly asked for sources:
I don’t have specific sources to cite for this explanation. I’m providing information based on general knowledge from my training data about behavioral psychology and positive reinforcement principles.
If you need cited sources, I’d recommend checking:
- APA Dictionary of Psychology
- Educational psychology textbooks
- Research on operant conditioning
Claude was unable to give me sources even when I asked again. The information it provided to me seemed to be accurate, but there is no way I can verify that in the absence of sources.
This is the source Mistral Large 3 gave me when I explicitly asked:
Whereas this is ultimately a reliable source, it is not relevant to the topic I asked about: this is only a link to the American Psychological Association’s homepage. I could not find where on the website it talks about positive reinforcement. Therefore, I have no idea where this information came from.
Reflection
Overall, the information I gathered from the three different AI sources was accurate. However, I can confidently say that I have more knowledge on this topic than what AI was able to give me. The AI were able to give me basic information about positive reinforcement, which is good! But, there is a lot more to this topic than what was portrayed. The Anthropic model seemed to give the best, most thorough answer compared to the two other models. However, it was unable to provide me any type of source from the web. This shows how AI produces information it believes to be factual without supporting it with any additional sources or proof, which is very concerning. It was interesting to see how each model answered the same question differently.
