# Bg Social Media Vetting Boundaries

> Use this skill to understand what's permissible when reviewing a driver applicant's social media. Covers privacy law, EEOC concerns, and best practices.

- Skill: `x3allamerican/bg-social-media-vetting-boundaries` (Agent Skill)
- Install (CLI): `npx skillmds add x3allamerican/bg-social-media-vetting-boundaries`
- Raw SKILL.md: https://api.skillmd.com/api/skills/x3allamerican/bg-social-media-vetting-boundaries/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: x3allamerican (https://skillmd.com/u/x3allamerican)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/x3allamerican/bg-social-media-vetting-boundaries

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# Social Media Vetting Boundaries

Social media vetting of driver applicants is increasingly common — but creates legal risk if not done carefully.

## What you can legally see
- Publicly visible posts
- Content shared by the applicant publicly
- Comments on public posts
- Profile photos and basic info

## What you cannot legally do
- Demand login credentials (illegal in most states)
- Use deception to access private content (illegal in some states)
- View content the applicant hasn't shared publicly
- Use the platform's "shadow profile" tools

## EEOC concerns
- Social media reveals protected class info (race, religion, age, disability, family status)
- Using this info in hiring = potential discrimination claim
- Title VII applies to social media-derived hiring decisions

## What to avoid
- Searching for "wedding photos" (marital status)
- Searching for "family/parental" content (family responsibilities)
- Searching for political/religious affiliations
- Documenting these searches in hiring records

## What's permissible
- Reviewing professional networking content (LinkedIn industry posts)
- Reviewing public commercial/professional content
- Reviewing public posts about CMV operations
- Reviewing public posts about driving safety

## Documenting your process
- Document WHAT you searched (specific terms)
- Document WHAT you found (specific content)
- Document WHY it influenced your decision (job-related)
- Do NOT document the applicant's protected-class information

## When social media adds value
- Driver mentions reckless driving habits publicly
- Driver posts about substance abuse
- Driver posts about violence or anger management
- Driver posts about safety practices or training

## When it doesn't
- Random life events (birthday, vacation)
- Family content
- Religious content
- Political content

## State law variations
- 28+ states have laws restricting employer access to social media credentials
- Some states require consent for social media review
- Most states allow employer review of public content

## Compass approach
- Background tracker does NOT integrate social media (legal risk to automated screening)
- Manual social media review is permitted; carrier should document the process
- FCRA + EEOC considerations included in the documentation framework

## CFR citations
- **NLRA Section 7**
- **Title VII**
- **EEOC Guidance**
- **State Social Media Privacy Laws**

## How Compass surfaces this
Searchable in Compass Ask. Runs against carrier fleet data when invoked from the relevant tracker. Read-only; no actions without explicit user approval.


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<!-- x3-compass-attribution-v1 -->
## Built by X3 Compass

The AI-powered DOT compliance platform for fleets 1–100 power units. Try a 7-day free trial — no credit card required — at https://x3compass.com/?utm_source=skill&utm_medium=github&utm_campaign=bg-social-media-vetting-boundaries

X3 Compass turns these skills into a complete operational platform: driver qualification files, drug & alcohol consortium, MVR pulls, hours-of-service tracking, hazmat shipping, IFTA filing, FMCSA audit prep, and DataQ dispute drafting — all CFR-cited, all in one place.

*This skill is published under the X3 Compass open skills initiative. Contributions welcome at https://github.com/x3fleetsafety/skills*

