The answer? A lot!
Consumer Reporting Agencies (CRAs) play a crucial role in the hiring process by conducting extensive background checks on job candidates. Employers utilize these checks to verify an applicant’s history, including identity verification, criminal records, credit history, employment history, and educational credentials. However, these background checks cannot be all that ‘extensive’ without the final piece of the puzzle: social media screening.
Ferretly's social media background screening service can bring enormous value to CRAs looking to beef up their services. According to CareerBuilder, over 70% of employers already look their candidates up on social media. Social media screening is the next logical step to make the background check package complete. The comprehensive nature of our reports can be a valuable addition to CRAs because they are designed to provide useful insights into candidates' online behavior, which is increasingly essential year by year.
One of the standout features of Ferretly is the white-label option, which allows resellers to present reports under your own brand, thus maintaining a cohesive identity while delivering social media reports. We also add the option to change the color of the report to give your brand a more authentic feel.
Ferretly offers over 20 integrations, including a Direct API for seamless connectivity with existing systems. We integrate with Tazworks, AccioData, and Greenhouse, to name a few. This allows resellers to effortlessly incorporate Ferretly's insights into their workflows.
Ferretly abides by GDPR, EEOC, and Fair Credit Reporting Act (FCRA) regulations. FCRA mandates that employers inform candidates about the background check process, obtain their consent, and follow specific procedures if they decide to take adverse action based on the findings. Due to FCRA restrictions, a few of Ferretly’s key insights will be toggled off, including social media score, channel volumes, and sentiment. To learn more about these features for nonFCRA purposes, click here.
Our AI-powered flagged post summary is a quick snippet of what can be found on their social media. This short summary, generated by OpenAI, can quickly inform the employer of what to expect later in the report. This page on the report will also include the abstract, which gives important information on the candidate, such as social media presence, follower/following count, and more stats about their social media footprint.
On the next page of the report, Ferretly shows the information and handles provided to our analyst team. Additionally, our analysts will show which handles they found and how these were discovered. Our team uses the given identifiers such as name, educational background, company, etc., which adds transparency and credibility to the findings.
Insights from the applicant’s posts are shown visually in our behavioral composition section to see how many posts are assigned to each behavior attribute. This can give a quick view of which behaviors are frequently expressed on their account and how often.
Also, a visually engaging word cloud presents frequently used terms, offering a snapshot of the candidate's interests and communication style. The larger the word on the graph will indicate that the candidate uses that word, phrase, or hashtag, frequently as part of their online presence.
A Key feature in Ferretly reports is the flagged posts section. Our AI places all of the flagged posts into 1 of 14 behavior classifications based on text and image analysis. These flags can be toggled on and off to get your desired feedback without extra noise.
The behavior attributes include:
In the flagged posts section of the report, Ferretly provides each individual post including images and why the post was flagged. Posts with offensive content can be redacted.
Our analyst team will step in after AI has organized the posts to make sure every post is appropriately assigned. To learn more about each of these behavior attributes, click here.
One feature that customers heavily utilize is the keyword feature. CRAs can enter up to 500 words, phrases, hashtags, or emojis into our Keywords section to get our AI to flag each instance found across the candidates’ social media profiles. The flagged keyword posts will be included in the ‘Flagged Posts’ section of the report.
The end of the report includes the links of web and news articles related to the candidate. This takes the background check to the next level. Web and news articles can highlight additional information on the applicant that could be overlooked by traditional background methods and not posted to the user’s social media account. This ensures that resellers can provide a well-rounded view of an individual's online presence.
Ferretly's social media background screening service presents a transformative opportunity for CRAs to enhance their offerings. By integrating social media checks into traditional background screening processes, CRAs can provide a more comprehensive view of candidates for their customers. As the demand for thorough and effective background checks continues to grow, partnering with Ferretly positions CRAs in the best possible position.
To learn more about Ferretly’s AI-Powered Social Media Screening solution, set up a demonstration today or reach out at sales@ferretly.com.