Welcome to the Q&A Forum

We would like to see any tips or experience with filtering out spam reviews. We operate a website where consumers can post their reviews on / experience with certain companies. We do receive a fair share of fake reviews (the "to good be true reviews" about certain companies and also sometimes negative review about their competitors).We filter these as good as we can. For some companies, we receive a large number of reviews which individually seem to be ok (text-wise but also when checking IP addresses and e-mail addresses), but if you read all these reviews in sequence then there is something off, i.e. they seem to lack the linguistic variance that is normally present in consumer written reviews. We feel someone is trying to manipulate here but this someone is covering his tracks. Do you have experience in this regard or can you provide us with additional data points to look at?

How do you visualize a website structure in terms of (categories of) pages and interlinking. I use such visuals for discussing what you are actually doing now and what can be improved. I have made visuals I few times myself (basically making boxes representing categories of pages and lines representing internal links), but I found that I soon ran into a scheme of huge proportions and needed more paper and more time. Appreciate your thoughts!