Related Experiment Video
Updated: Feb 25, 2026

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
Published on: June 14, 2019
The citation effect: In-text citations moderately increase belief in trivia claims
Adam L Putnam1, Riley J Phelps1
1Carleton College, United States.
Abstract:
Authors use in-text citations to provide support for their claims and to acknowledge work done by others. How much do such citations increase the believability of an author's claims? It is possible that readers (especially novices) might ignore citations as they read. Alternatively, citations ostensibly serve as evidence for a claim, which justifies using them as a basis for a judgment of truth. In six experiments, subjects saw true and false trivia claims of varying difficulty presented with and without in-text citations (e.g., The cat is the only pet not mentioned in the bible) and rated the likelihood that each statement was true. A mini meta-analysis summarizing the results of all six experiments indicated that citations had a small but reliable effect on judgments of truth (d=0.13, 95% CI [0.06, 0.20]) suggesting that subjects were more likely to believe claims that were presented with citations than without. We discuss this citation effect and how it is similar and different to related research suggesting that nonprobative photos can increase judgments of truth.
Related Concept Videos
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
Confidence Coefficient
Statistical Significance
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
Attribution Theory
