How to detect online dating scams with programming languages

 How To Detect Online Dating Scams With Programming Languages.




Detecting online dating scams can be very complicated especially in this decade where technology is advanced and far from ordinary. Fortunately, there are basic codes you can use to detect online dating scammers with programming languages. 

How Does it work?.

Online dating scammers don't use their real face and their personal information to perform their work which we all know. They use another person picture and use forged personal information in order to make it real. They also use another person bank account details to convince them that they are real. However how they created those forged information is through programming so we therefore use the same tool they also use to detect fraudsters and avoid you being a victim. 

NB: All the codes are basic and are just the sample you could use for advanced detection as a experienced developer. But in the basic, you can use it and detect scammers basically if you are a novice in programming.

Detection code for Python.

Python uses NLTK tool to detect the keywords scammers use in formating their chats. However it tells you if the user is a scammer or not. here is the code below:


import nltk

from nltk.corpus import stopwords

from nltk.tokenize import word_tokenize


nltk.download('stopwords')

nltk.download('punkt')


def detect_scammer_keywords(text):

    stop_words = set(stopwords.words('english'))

    words = word_tokenize(text)

    filtered_words = [word.lower() for word in words if word.lower() not in stop_words]

    

    scammer_keywords = ["money", "help", "urgent", "emergency", "bank", "transfer"]

    detected_keywords = [keyword for keyword in scammer_keywords if keyword in filtered_words]

    

    return detected_keywords


message = "Hi, I have an urgent money emergency. Can you help me?"

detected_keywords = detect_scammer_keywords(message)


if detected_keywords:

    print("Possible scammer keywords detected:", detected_keywords)

else:

    print("No scammer keywords detected.")


Detection code for Java.


import java.util.Arrays;

import java.util.HashSet;

import java.util.Set;


public class OnlineDatingScamDetection {


    public static void main(String[] args) {

        String message = "Hi, I have an urgent money emergency. Can you help me?";

        

        Set<String> detectedKeywords = detectScammerKeywords(message);


        if (!detectedKeywords.isEmpty()) {

            System.out.println("Possible scammer keywords detected: " + detectedKeywords);

        } else {

            System.out.println("No scammer keywords detected.");

        }

    }


    public static Set<String> detectScammerKeywords(String text) {

        String[] words = text.split("\\s+");

        Set<String> stopWords = new HashSet<>(Arrays.asList(

            "money", "help", "urgent", "emergency", "bank", "transfer"

        ));


        Set<String> detectedKeywords = new HashSet<>();

        for (String word : words) {

            if (stopWords.contains(word.toLowerCase())) {

                detectedKeywords.add(word);

            }

        }


        return detectedKeywords;

    }

}

The 'detectscammerKeywords' splits the input message and convert them into words. Comparing the  keywords used by a scammer and returning the set of detected keywords. This Java method shows how to use the method to verify messages for scammer keywords. 


Detection Keywords for Swift. 


import Foundation


func detectScammerKeywords(_ text: String) -> Set<String> {

    let words = text.lowercased().split(separator: " ")

    let stopWords: Set<String> = ["money", "help", "urgent", "emergency", "bank", "transfer"]

    

    var detectedKeywords: Set<String> = []

    for word in words {

        if stopWords.contains(String(word)) {

            detectedKeywords.insert(String(word))

        }

    }

    

    return detectedKeywords

}


let message = "Hi, I have an urgent money emergency. Can you help me?"

let detectedKeywords = detectScammerKeywords(message)


if !detectedKeywords.isEmpty {

    print("Possible scammer keywords detected: \(detectedKeywords)")

} else {

    print("No scammer keywords detected.")

}


Like Java, the 'deteçtScammerkeywords' splits the message into words, compare them to prevent predefined keywords. 'detectedKeywords' stores the detected keywords. It shows how to perform the function to check the message for scammer keywords.


Detection code using HTML/CSS.

We all know that HTML and CSS are languages used for the structure for website development. However you can use the code to create a webpage where other internet users be aware of the scam.

index.html:

<!DOCTYPE html>

<html>

<head>

    <title>Online Dating Scam Detection</title>

    <link rel="stylesheet" type="text/css" href="styles.css">

</head>

<body>

    <header>

        <h1>Online Dating Scam Detection</h1>

    </header>

    <main>

        <p>Protect yourself from online dating scams by staying vigilant and using these tips:</p>

        <ul>

            <li>Never send money to someone you haven't met in person.</li>

            <li>Be cautious if the person avoids meeting in real life.</li>

            <li>Check for inconsistencies in their profile information.</li>

            <li>Look out for overly attractive photos or generic messages.</li>

            <li>Use reverse image search to verify profile pictures.</li>

        </ul>

        <p>If you suspect you're encountering a scam, trust your instincts and consider ending communication.</p>

    </main>

</body>

</html>


styles.css:


body {

    font-family: Arial, sans-serif;

    margin: 0;

    padding: 0;

    background-color: #f0f0f0;

}


header {

    background-color: #007bff;

    color: white;

    text-align: center;

    padding: 20px 0;

}


h1 {

    margin: 0;

}


main {

    max-width: 800px;

    margin: 20px auto;

    padding: 20px;

    background-color: white;

    border-radius: 5px;

    box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);

}


ul {

    padding-left: 20px;

}


li {

    margin-bottom: 10px;

}


p:last-child {

    margin-top: 20px;

}


/* Additional styling can be added as needed */



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