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Spot a bot

Discover Spot A Bot - a project detecting bot accounts on Twitter using machine learning. Learn about the trends today!

Machine Learning Updated 8 hours ago
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Spot a bot

Spot a bot's Top Features

Uses XGBoost algorithm
68% model accuracy
Analyzes profiles and tweets
Visualizes trend data
Classifies accounts as bot, unsure, or human
User-friendly platform
Educational project
Focuses on transparency and clarity
Updated regional trends
API policy change updates

Frequently asked questions about Spot a bot

Spot A Bot is a project that identifies bot accounts on Twitter using machine learning algorithms.

Spot A Bot's model has an accuracy of approximately 68%.

Spot A Bot uses the XGBoost algorithm for its bot detection model.

Spot A Bot analyzes Twitter profiles and tweets to determine the likelihood of accounts being bots.

The project was developed as part of a master’s program at Salzburg University of Applied Sciences to study the impact of bots on social media.

Accounts are classified based on bot probability scores: Bot (0.65-1), Unsure (0.5-0.65), Human (0-0.5).

Spot A Bot analyzes trends from regions such as the UK, USA, and Germany.

Yes, you can explore past trends on the Spot A Bot website under the 'Trend History' section.

Currently, daily trend updates are on hold due to changes in Twitter's API policy.

You can follow Spot A Bot on Twitter to stay updated with their latest news and trends.

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Category
Machine Learning
Tags
Twitter
Bot Detection
Machine Learning
XGBoost
Social Media Analytics
Trend Analysis

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