A tool to verify Tweet screenshots
Project description
Verify Tweet
Fake tweet images can be generated using a preset meme template from websites like: TweetGen, Prank Me Not and Simitator . Verification of such tweets takes a manual work to find the user, scroll through their timeline and matching. A viral fake tweet image can prove crucial at a time.
A fake tweet screenshot looks very convincing, misleading the general public. For example:
Tweet 1 | Tweet 2 |
---|---|
Verify Tweet attempts to resolve the problem by letting users upload such tweet screenshots and verify if the user actually tweeted or not. A combination of Image processing, Natural language processing as well as Twitter Search API makes this possible.
Installation
Prerequisites
- Install Tesseract-OCR and add to PATH.
- Install ImageMagick and add to PATH.
- Python >= 3.6
Installing via pip:
pip install -U git+https://github.com/kamidipreetham/verifytweet.git@origin/master#egg=verifytweet
Or via pipenv:
pipenv install -e git+https://github.com/kamidipreetham/verifytweet.git@origin/master#egg=verifytweet
Usage
Quickstart
verifytweet -f <path_to_image_file>
Help
verifytweet --help
License
Verify Tweet is released under GNU Affero General Public License v3.0.
Future features
- Support for Image links
- Support for Tweets with replies
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for verifytweet-0.5.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8854801c08fb0b86084628fd8d68ac8ad40f47b0800d01b54077cc071b71d012 |
|
MD5 | 1d87b98bce774bf268267c86bcf11049 |
|
BLAKE2b-256 | 5bf8261ba2f14950f64b2192e9b6e47c02a10b4e72a12f04cbd55c71e639f425 |