The vast majority of mainstream media items about science are related to new hot-off-the-press studies, often in high profile journals, that report a new breakthrough, or that purportedly overturn previous ideas. However, while these are exciting news items, this preponderance of coverage given to these state-of-the-art studies compared to assessments such as from the National Academies, can give a misleading impression about the state of a scientific knowledge. The more mature and solid a field, the less controversy there is, and thus the fewer news stories. Ironically, this means the public is told the least about the most solid aspects of science.
One effect of this tendency is that quite often news stories are focused on claims that turn out to be wrong, or if not actually wrong, heavily reduced in importance by the time the dust settles. This is not deliberate, but merely how science works at the frontier. People push measurements to the limit of their accuracy (and sometimes beyond) and theories are used slightly out of their domain of applicability. In recognition of that, Richard Feynman had a useful rule of thumb that the last data point on any graph should be discounted because, if it had been easy to obtain, there would have been another one further along.