“Karma” refers to the points that users get when their submissions are upvoted. Please, everyone involved PM me. This tutorial explains network security threats (hardware & software), types of network security attacks (such as Active & Passive attack, insider & outsider attack, Phishing, Hijack, Spoof, Buffer overflow, Exploit, Password, Packet capturing, Ping sweep, DoS attack etc.) By raising the threshold to 60% when predicting for scammers, the number of false positives was reduced, thus raising the precision to 92%. like this one I asked for in a successful trade. You should also inquire whether the item is usable in a system first before you ask for a validation so they cannot back out and say its not possible. /r/hardwareswap metrics (HardwareSwap) Do you want to trade your unused computer part for something you will use? I really am sorry. )— I will start by collecting data on these groups. If you're doing an item to item trade, you may want to verify their address by requesting an item with their name and address on it (a bill or something similar). That’s almost 650,000 people in just 8 communities (Subreddits)! The user's package was successfully stopped mid-shipment and anyone who has traded with Uhmcopyright recently might want to also place a hold on their shipment. Welcome to r/Hardwareswap, a community and marketplace for buying, selling, and trading all sorts of PC Hardware. Reddit Users/Redditors: These are people who have done genuine transactions on Reddit. The street name of the address you sent to MysteriousX would suffice. Press question mark to learn the rest of the keyboard shortcuts. This is what I was expecting, as scammers likely wouldn’t put effort into moderating Subreddits using the same account with which they scammed someone. A much bigger proportion of Redditors are moderators of Subreddits. Additionally, the function returns a Pandas data frame with the Price, Date, and URL so that I can check if the approximations were correct. It is very important than you read the wiki located in the sidebar for safe trading procedures.Reading our rules and guides is the best and most proven way to prevent getting scammed! It is also possible that some scammers got caught, but just didn’t care and continued to use their accounts. For example in row 0 the user orevilo sold to veigs. This is one variable that I would like to revisit in the future. Looking at the way in which Reddit’s marketplaces work led me to construct an algorithm to help solve the problems posed by the lack of a dedicated rating system. Your inquiry is safe, and will be held until we hear from you. In the picture below, you can see the different submission flairs: (SELLING, BUYING AND CLOSED). Enclosed is a link which will confirm your email address.

, please use your browser's back button and resubmit the contact form. In order to access the r/HardwareSwap data, I signed up for a Reddit API key. In this domain, it can be referred to as a machine learning model. If it was the same one (doubt it), this will look pretty open and shut with Paypal. The above chart compares scammers (orange) and Redditors (blue).

Once I saw these numbers, I wanted to gain an idea of the average price of a transaction to get a sense of how much value was moving through r/HardwareSwap. The Reddit API allows up to 1,000 comments per user, but I took only the last 100 as a case study. By adding a threshold to the predicted probability, a lot of value is added to the model. To create a type of user rating the function outputs previous transactions. For example, you can sell an iPhone just about anywhere, but Android phones are a little tougher. This can be referred to as classifying the observations since it involves assigning the observed data to a specific category, which in this case can be either Redditor or Scammer. In the testing data, there were 491 scammers and 253 were identified correctly, which yields a recall score of 52%. What Paypal did he use with you?

I'm just out of high school and a stupid kid still. The Multiple Logistic Regression Model will allow me to determine the features that will be most relevant in predicting a Reddit user’s risk level. Just issuing a possible scam alert for the Tulare, CA 93274 area. By using our Services or clicking I agree, you agree to our use of cookies. I don't know what I can say but I am sorry, very very sorry. Welcome to r/Hardwareswap, a community and marketplace for buying, selling, and trading all sorts of PC Hardware. Also, if you could post a screenshot of your conversations with him in this thread it would be helpful.

I just realized who this was. My first thought is to use a Multiple Logistic Regression Model, a statistical analysis that is used to predict the outcome of dependent variables. Looking at the two groups’ user activity, I tried to determine if a given account was high-risk or low-risk.

. I don't know what made me do it. On the flip side, a user may have had 5 successful transactions and then decide not to hold up his or her end of the 6th one.

Ridge regression does this by introducing a new best-fit line with a small amount of bias, and in return it gets a significant drop in variance. Reddit’s members, called “Redditors,” submit content to the Subreddits, where other members either “upvote” or “downvote” it. - YouTube

Input the username into a function that pulls the necessary data from the reddit API. The total value and activity of this Subreddit, r/HardwareSwap, are much-needed for my Risk Analysis. When it comes to a real-world application for this project, it would be extremely difficult to determine prior to this procedure whether or not a Reddit user is a scammer. Other Sites: Swappa for Phones, Hardwareswap for PC Parts, and More.

Uhmcopyright negotiated an item for item trade with an user and deleted his account as well as missing the ETA delivery time. The subreddit r/HardwareSwap has a confirmation thread where users confirm their successful transactions every month. I just payed $200 to this guy for an AMD processor and mobo. Redditors, on the other hand, have a much more normal distribution. Because this is the only system that any of the marketplace subreddits offer I will have to trust that all of these users were fraudulent. After that, I will look at the data to see what separates the two groups. Hands-on real-world examples, research, tutorials, and cutting-edge techniques delivered Monday to Thursday. You can sometimes find good deals on Amazon …

To get started, I needed to register an application on Reddit, where I then received a Reddit client ID and client secret. and their possible solutions in detail. I would have to think that this is the result of cases where some of the Redditors marked as scammers were in some sort of dispute that the moderators were not able to resolve and both buyer / seller eventually got marked as scammers. Cookies help us deliver our Services. Considering that Reddit does not keep a transaction history or collect any real identifying information about its users, solving issues that relate to fraud is quite a difficult problem because the metrics Reddit provides are not typical for measuring risk, as compared to traditional credit metrics and social platforms. Code for checking the probability threshold at different probabilities: After applying different thresholds to the test data.

I realize I fucked up and I've been here shaking and a bit of crying.

The Reddit Scammer data set was gathered from r/hardwareswap’s ban list and the universal ban list . Each resulting data point looked like the following: This is how the keys in the Python dictionary, as described above, were created: by appending the username (child.group()[2:]) and the body_text, as shown in the above code. Find a submission with a user with no confirmed trades, Typical submission, but user has 0 confirmed trades. A rating system is a vital tool to facilitate decision-making for buyers, allow them to share their feelings — and, most importantly, to assure them of the transaction’s legitimacy.

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