Fake Social Media Profile Detection And Reporting
--:The growth of Social media :--
*In 2023, there were an estimated 4.89 billion social media users worldwide, which is a 6.5% increase from the previous year.
*Between April 2022 and April 2023, there were 150 million new social media users, which is a 3.2% increase year over year.
*In January 2023, there were 4.72 billion social media users globally, which is a 3% increase from January 2022.
Flow Chart :
Objective :
project aims to create a software solution that contributes to a safer and more trustworthy online environment
by effectively detecting and reporting fake social media profiles while respecting privacy and user rights.
The steps are :
- Data Collection:
- To gather profiles from social media networks (such as Facebook, Twitter, and Instagram), set up data scraping or API integration.
- Data Pre-processing
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Prepare the gathered data for analysis by cleaning it up, eliminating unnecessary information, and structuring it.
- Profile Features
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Establish a set of criteria for analysing each profile, such as activity patterns, friend and follower networks, post content, and profile image analysis.
- Machine Learning Model :
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Use labelled data to train a machine learning model (such as a binary classifier). Labelled data ought to include both fictitious and real profiles.
- Profile Scoring
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Assign a likelihood score, or the possibility that a given profile is fraudulent, to each one using the trained model.
- Threshold Setting :
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Decide on a cut-off point for a profile's classification as real or fraudulent. Profiles that score higher than this are marked as potentially suspicious.
- Reporting System :
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Provide a reporting feature that allows users to flag questionable accounts right from within the program.
- User Feedback Loop :
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Over time, the accuracy of the model may be increased by incorporating user feedback. Permit users to verify if profiles are authentic or fraudulent.
- Alerts and Notifications :
- Notify users or administrators via alerts or notifications if a suspicious profile is found or reported
- Dashboard and Reporting:
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Provide a dashboard where administrators and users may examine data, patterns, and specifics regarding identified fraudulent accounts
--:So by this we can be safe from the fake social media and spam:--
Thank you
From Team Code
Acer