InstaFake Dataset

Dataset of the Intagram Fake and Automated Account Detection paper

Installation

Install miniconda

https://conda.io/en/latest/miniconda.html

Setup a CONDA environment

We create a new vitrual environment named instafake.

conda create --name instafake python=3.6

Activating the virtual environment

If you are inside the virtual environment, your shell prompt should look like: (instafake) user@computer:~$ If that is not the case, you can enable the virtual environment using:

conda activate instafake 

To deactivate the virtual environment, use:

conda deactivate

Install required packages

To install the required packages, run the following command in your instafake virtual environment:

pip install -r requirements.txt

Import Datasets as Dataframes

To import the fake and automated datasets as pandas dataframes, simply define the dataset folder path data, and dataset version dataset_version and call import_data from utils:

from utils import import_data

dataset_path = "data"
dataset_version = "fake-v1.0"

fake_dataset = import_data(dataset_path, dataset_version)

dataset_path = "data"
dataset_version = "automated-v1.0"

automated_dataset = import_data(dataset_path, dataset_version)

Dataset Structures

The dataset contains of 2 set of json files with given features:

Fake Account Detection

1. user_media_count - Total number of posts, an account has.
2. user_follower_count - Total number of followers, an account has.
3. user_following_count - Total number of followings, an account has.
4. user_has_profil_pic - Whether an account has a profil picture, or not.
5. user_is_private - Whether an account is a private profile, or not.
6. user_biography_length - Number of characters present in account biography.
7. username_length - Number of characters present in account username.
8. username_digit_count - Number of digits present in account username.
9. is_fake - True, if account is a spam/fake account, False otherwise

Automated Account Detection

1. user_media_count - Total number of posts, an account has.
2. user_follower_count - Total number of followers, an account has.
3. user_following_count - Total number of followings, an account has.
4. user_has_highlight_reels - Whether an account has at least one highlight reel present, or not.
5. user_has_url - Whether an account has an url present in biography, or not.
6. user_biography_length - Number of characters present in account biography.
7. username_length - Number of characters present in account username.
8. username_digit_count - Number of digits present in account username.
9. media_comment_numbers - Total number of comments for a given media.
10. media_comments_are_disabled - Whether given media is closed for comments, or not.
11. media_has_location_info - Whether given media includes location, or not.
12. media_hashtag_numbers - Total number of hashtags, given media has.
13. media_upload_times - Media upload timastamps.
14. automated_behaviour - True, if account is an automated account, False otherwise

Dataset Metadata

The following table is necessary for this dataset to be indexed by search engines such as Google Dataset Search.