Reverse image search is a useful technique for verifying images in journalism, but it is not foolproof or comprehensive. There are some limitations and challenges that you need to be aware of and overcome, such as the quality of the image, the availability on the web, and the interpretation of the results. The quality of an image can affect the accuracy and effectiveness of a reverse image search; low-resolution, blurry, or noisy images can reduce the chances of finding a match or a similar image, while high-resolution, clear, or unique images can increase the chances but may also be more susceptible to manipulation or editing. The availability of an image on the web can affect the scope and diversity of the reverse image search results; some images may not be indexed or crawled by search engines, while others may be widely circulated or duplicated. And finally, interpreting an image and its reverse image search results can affect its validity and relevance; using critical thinking, judgment, and ethical standards is essential for evaluating information and evidence found. Corroborating and cross-checking with other sources, methods, and tools is also advised.