Communicating Results brainstorming

[AseelOmer]

• Who are we reaching ? Target Audience?
• Their constraints & capabilities?
• How to reach them?
• What they should learn ?
• What they should do?
• How do we hope they'd interact? not in our control but our thoughts

[AseelOmer]

I think for this milestone, we should focus only on students who are looking for jobs, especially those in university or just graduating. They’re usually active online and also more likely to fall for job scams because they’re new to the job market and eager to find work.
my idea is that :

we use Instagram and LinkedIn to share our results in a way that’s simple and eye-catching.

I suggest we make 3–5 carousel posts that people can swipe through. Each one will cover a different topic, like:

• Real vs. AI-written job posts (comparing them visually)
• Common red flag phrases in fake jobs
• A simple checklist to help students avoid scams
• How scammers use AI to write job posts
• Tips for what students can do if they’re unsure

We can reuse some of the visuals from our notebooks (like bigrams or graphs) and just explain them in an easier way. Also, we can start each post with something catchy — like a question or stat — to get people to stop scrolling. Then at the end, we encourage them to share the post with friends.
This way, we’re not just showing our results — we’re actually helping people.
Let me know what you think

[Rouaa93]

Thanks @AseelOmer ! I think your idea is super clear and effective for our target audience. I agree that university students are the most vulnerable and most reachable online.

I really like the carousel post idea — it's digestible, visually appealing, and has a high potential for engagement.

Maybe we could also create one very short (15-30 sec) reel or animated post that shows how AI-generated fake posts can look convincing at first, just to catch attention even more. It could lead people to swipe through the carousels.

Also, reusing visuals from our analysis is a great way to connect the research with practical tips — nice thinking!

I’m happy to help write or design a couple of slides if needed!

[majdadel20]

Who We’re Helping (And Why It Matters)

Our bullseye audience: Students and fresh graduates hunting for jobs.

Why focus on them?

• Most likely to get scammed: They’re inexperienced + under pressure to land any job.
• Tech-native: They’ll actually use a Chrome extension or share a TikTok.
• Network effects: Warn one student, and their whole dorm knows by dinner.

Real-life example to hook them:

"Mike, a 2023 grad, applied to a ‘Marketing Director’ role offering $150k. After 3 interviews, they asked for him SSN ‘for paperwork’—it was a identity theft scam. Our tool would’ve flagged the listing’s vague language and insane salary for entry-level."

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How We Reach Them (No Fluff, Just Tactics)

1. Social Media That Actually Gets Shared

• TikTok/Reels:
  • “Red Flags You Missed in Job Posts” (use text-on-screen + urgent music).
  • “Fake vs. Real Job Listing” side-by-side (green/red highlights).
• Instagram Carousels:
  • “Swipe to see if this job is a scam” (interactive quiz style).

2. Partner With Universities

• Give career centers:
  • A 1-page PDF checklist (“7 Signs a Job Post is Fake”).
  • A 5-minute script for workshops (they’re overworked—make it easy).
• Tap CS clubs to test our tools (they love hacking on real-world projects).

3. Dead-Simple Tools

• Browser extension MVP:
  • Just a button that says “Scan for Scams” → spits out risk score (1-5).
  • “This post says ‘urgent hiring’—proceed with caution.”
• Google Form scam reporter:
  • Pre-filled email to LinkedIn/Indeed support (“This post is fake because…”).

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What We Want Them to DO

• Before applying: Copy-paste the job desc into our Scam Score Checker.
• After a scam: Submit to our “Hall of Shame” (anonymously—we’ll publish trends).
• Spread it: Share our tools in GroupMe chats, Discord servers, etc.

Why this sticks:

• Students are broke and busy—we’re saving them time/money.
• Peer-to-peer warnings work better than “official” advice.

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Other Audiences (Later Phase)

Group	Why Care?	How to Reach Them
HR Teams	Reduce legal risk	Partner with ATS platforms (e.g., Greenhouse)
Researchers	Cite our models	Release datasets on GitHub
Fraud Investigators	Add our signals to their tools	API access for their scanners

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Next Steps (Concrete & Assigned)

1. Create first TikTok draft (Aseel + Rouaa—script by Friday?).
2. Build Chrome extension mockup (Elocodes).
3. Email 3 university career centers (Majd + Alaa).
4. Scam Hall of Shame MVP (Geehan—Google Form + public dashboard).

Goal: Have something tangible to test with real students in 2 weeks.

[Alaa-Elgozouli]

Target Audience:

Since we have until ELO2 to work on this and we're most probably using the job board, I'd say let's think big and broaden our horizons. When we ask who job seekers are, there aren't specific features to describe them with, everyone is a job seeker, so why not target everyone? For now, we target people and share our findings so far, and hopefully, those people would interact with the job board once we get to it.

But, I'd say it's fair to categorize everyone into two or three categories, depending on the responses we get after we share the board:

1. Students/fresh graduates (18 - 25): They're new to the market and not quite aware of scam techniques, so we need to measure the level of unawareness and its extent.

2. Mid level of experience (people aged 25 - 35): They're very familiar with the job application process, let's test that! The level of familiarity and level of awareness.

3. High level of experience (people aged 35+): They're very familiar with the job application process, let's test that! The level of familiarity and level of awareness.

2 & 3 could be merged together. This way, we could compare between all levels of expertise and through their reactions, measure the levels of familiarity & awareness.

Capabilities:

• Not setting a constraint on age could be very beneficial as it'll help use gather as much responses as possible rather than scoping ourselves from the beginning.
• Diverging first, then converging, we start big, if it does not work, then we try to make it work, if it won't work, then we could scope down to a certain category or age.

Constraints:

• Targeting people of different ages could mean using different ways to get them to interact, which could be time-consuming.
• Extra time will be spent on planning how to reach them.

How to reach targeted audience:
While I do not mind using social media, here's what we can also do besides that:

• A 15 - 20 minute podcast in the form of questions and answers, we could include an introduction page on the job board and put it there.
• Creating a visual story in the simplest way possible, we could mimic the life of a job seeker, the frustration that happens once he/she knows that it's a scam, then share all our findings as tips, something like this, could use the introductory page of the job board.

Important: Since the job board is already there and we're planning to use it, we could include a first page on it to provide context, share our findings, let everyone know that we studied the machines' ability of detecting fraud, and now we're studying humans' ability. For now, we could prepare the content that will go there, whether it be the posts, podcast, meme-ish story, and so on. Then, we gather everything together and put it there. This way, we'll be organized and we'll have EVERYTHING related to the project in one place, and we'll make sure that whoever decides to participate in the job board will have the FULL context of the issue.

Side note, I'm also thinking of contacting the founder of a recently formed job app, not sure how that will turn out, but will do it and see how it goes, and will keep the team updated.