The Expert Podcast

If you are a company that has reviews for your services that you want to investigate there's a couple steps you can do to identify reviews that might be fraudulent or might be accurate this is David active intell investigations.

The first step in the review fraud investigative process is to capture all reviews that you want to have included in the analysis and not all bad ones you might want to collect the good ones and reviews from all platforms you know Yelp is obviously the most common but Google has reviews and some travel platforms have reviews.

Then you're gonna cross-reference all the names and avatars of the people who have posted these reviews and they're gonna gather social media records things from discussion forums may be public writings of the identified posters but also from subjects who might be worthy of comparison they could be competitors they could be employees that could be disgruntled customers you're going to capture social media information from all prospective comparison sources.

LinkedIn is a very frequently overlooked source of information once you've gathered up gathered all that information you may have thousands of posts or social media data maybe LinkedIn profiles you're gonna run a comparison of all of those different sources things like the dates and times of the postings things like typographical errors which are common between the two grammar styles also factual disclosures things like unusual life factors is there a mention of a medical condition is your mention of travel to a certain area.

Once you have all those factual disclosures you can start to cross-reference it's made much easier to cross-reference thousands of data sources if you use an algorithm or artificial intelligence to look for these patterns then you're going to take a second pass at other sources things like PDF files maybe spreadsheets that might have data that can overlay onto the pattern that you've identified legal filings in courts are also a source that you want to run a second pass at.

At the very end you're gonna take the flagged post or the flag data and identify the IP addresses which may be common you can get this information from the platform's with the proper request and then at the very end you're gonna look at the four DS once you've identified which posts are going to be fraudulent or possibly damaging to your company you're going to look at the four DS and that's deletion damages disclosure and defense meaning that you're going to request deletion by the platform damages from the poster that's a fraudulent provider maybe disclosure from a competitor that they've taken this action and then at the very last defense against future posts from a fraudulent review provider.