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Now, let's get specific and look at how bias can manifest in **PSEOS journals**, especially from a CSE angle. CSE is a fast-moving field, with new technologies and methodologies constantly emerging. This dynamic environment can, unfortunately, make it easier for biases to sneak in. For example, there can be a bias towards publishing papers that report novel or groundbreaking results. While this is understandable, it can lead to underrepresentation of important but less sensational work, such as replication studies or incremental improvements. This bias can skew the perception of progress in the field, making it seem like innovation is happening faster than it actually is. Another type of bias is the one related to data availability, in which studies that do not have data available are overlooked. Then we have gender bias, racial bias, and many others.
